Environmental Management
G. Saini; P. S. Deepak
Abstract
The entire world is reeling under the worst pandemic of last 100 years. Over 128 million people have been infected with it and 2.8 million deaths have already taken place, till 30th March 2021. The identification of materials positive cases is the first step towards its containment and treatment. However, ...
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The entire world is reeling under the worst pandemic of last 100 years. Over 128 million people have been infected with it and 2.8 million deaths have already taken place, till 30th March 2021. The identification of materials positive cases is the first step towards its containment and treatment. However, testing of individuals is an extensive, expensive and time-consuming exercise. In addition, societal taboos are also associated with infected individuals resulting in very few people volunteering for testing, esp. in the developing and under-developed world. An alternative approach that circumvents individual testing is the wastewater-based epidemiology. A state-of-the-art review of this method is provided in context of its utility for COVID-19 detection. This technique relies on collecting and testing samples from sewers and/or wastewater treatment plants for the presence of pathogens and then using that data to determine and predict the spread of the infection, thereby allowing the provision of appropriate containment and treatment steps. The study covers key aspects of wastewater-based epidemiology application for COVID-19 detection including its need, detailed process of detection and assessment, data analysis, economics and challenges to its application. Findings from a number of case studies are presented to elucidate the utility of this technique. It is clearly seen that WBE-based approach is a much better strategy as compared to individual testing and can be adopted to prevent further spread of Covid-19. The work is expected to further emphasize the application of this method for COVID (and other pandemic) detection and implementing containment strategies. This is clearly a much more economical and non-intrusive approach as compared to the individual testing.
Environmental Management
D. Asteria; J. T. Haryanto
Abstract
BACKGROUND AND OBJECTIVES: Empowering activities is the key in building awareness and individual capacity of household waste management, especially for women as the main actors. This study aimed to explore empowering activities as the key factor in shaping women's awareness of household waste management.METHODS:This ...
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BACKGROUND AND OBJECTIVES: Empowering activities is the key in building awareness and individual capacity of household waste management, especially for women as the main actors. This study aimed to explore empowering activities as the key factor in shaping women's awareness of household waste management.METHODS:This study was conducted using quantitative methods. The data collection technique used was survey. The sampling was carried out by purposive sampling technique. The criteria for sampling were those women who attended training in waste management in Jagakarsa Sub District, South Jakarta, Indonesia. The analytical technique used was Ordinary Least Square regression.FINDINGS: Based on the findings of this study, it was known that women who had good adaptability to technology were likely to have a greater chance score of 0.908. Education in schools was also found to have a positive impact on the opportunity score to earn good living environment. It was found that an increase in 1 year of schooling will increase the score of chance by 0.0755 (estimation 5). This is not significantly different from estimation 4 which would increase the chance by 0.0745. In waste management training, The womens’ participation are likely to increase the score chance of having a good environment by 0.944 points (estimation 5). Besides, the womens’ participation were found to be statistically significant at 95% confidence level in all estimations, particularly in the waste management training. Based on the comparison of the participation coefficient parameters in waste management training, it was found that there were no significant differences or signs (+ and -) between the estimations. All coefficient parameters ranged from 0.83 to 0.94.CONCLUSION: Empowerment activities that utilize access to education and easily adapt to a technology might have a significant correlation with women's involvement in waste management training. This is the basis for building awareness to carry out more sustainable household waste management and achieve change to get a good living environment.
Environmental Management
S. Drobyazko; M. Skrypnyk; N. Radionova; O. Hryhorevska; M. Matiukha
Abstract
BACKGROUND AND OBJECTIVES: The problem of energy saving and the transition to technologies that allow to partially or completely move away from the use of gas and other fossil fuels are a priority in Ukraine today. By consuming traditional energy sources using outdated technologies for energy supply ...
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BACKGROUND AND OBJECTIVES: The problem of energy saving and the transition to technologies that allow to partially or completely move away from the use of gas and other fossil fuels are a priority in Ukraine today. By consuming traditional energy sources using outdated technologies for energy supply of industrial facilities, Ukraine consumes 3-4 times more fuel per unit of Gross Domestic Product compared to developed countries. For industrial enterprises, the energy intensity of costs is 35-40% of the total cost. At the same time, obsolete fixed assets, especially its active part (the degree of physical wear and tear of industrial equipment is 60-65%), are characterized by a large share of energy and heat loss.METHODS: Modeling, structural analysis, and theoretical research based on current advances in the theory and practice of creating energy-efficient buildings using energy from alternative sources.FINDING: Calculations and structural analysis of costs by stages of the life cycle of the design solution of the hot water supply and heating system with energy-efficient fencing and heat pump have been made. Peculiarities of calculation of assessment and design solutions in accordance with the Ukrainian legislation have been determined. The study has been conducted in seven Ukrainian industrial enterprises in the energy sector.CONCLUSION: It is determined that the structural analysis of costs by stages of the project life cycle on the basis of standard costing should be used at the stage of designing a new power system or upgrading an existing one through marketing research. All this will contribute to the formation of a fundamentally new approach to solving technical and economic problems of the introduction of modernized energy supply systems for industrial purpose.
Environmental Management
R.D.P. Astuti; A. Mallongi; A.U. Rauf
Abstract
BACKGROUND AND OBJECTIVES: As a public concern, monitoring and controlling toxic metals pollution is needed worldwide. Due to the ability of poisonous metals in biomagnification and bioaccumulation, they can cause several adverse impacts on ecological and human health. The study aims to assess chromium ...
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BACKGROUND AND OBJECTIVES: As a public concern, monitoring and controlling toxic metals pollution is needed worldwide. Due to the ability of poisonous metals in biomagnification and bioaccumulation, they can cause several adverse impacts on ecological and human health. The study aims to assess chromium and nickel enrichment levels and estimate the soil''s ecological risk surrounds the Pangkajene watershed.METHODS: The total concentrations of chromium and nickel were determined using the Flame Atomic Absorption Spectrophotometer. This study used contamination factor, geo-accumulation index, and pollution load index to evaluate soil enrichment status. The ecological hazard index is used to estimate the potential hazard that may occur due to contamination. FINDINGS: The mean concentrations of chromium and nickel were 92.9 and 43.18 mg/kg, respectively. Chromium concentration exceeded the soil quality guideline for the protection of environment and human health, while Ni still below the standards. The geo-accumulation index value indicated no human-made-derived contamination in the soil. Weathering of carbonate rocks is the chromium and nickel major enrichment factor in the Pangkep regency. Contamination factor and pollution load index values showed low pollution in the studied soil. However, all study sites exceeded the ecological hazard index value (Ecological hazard index>1), which indicates a considerable ecological risk in the Pangkajene watershed area. CONCLUSION: These findings may provide baseline information related to chromium and nickel enrichment in the soil for Pangkep regency municipality. The Pangkep regency municipality must highlight the importance of strengthening environmental standards and monitoring mechanism as the priority to maintain a healthy environment.
Environmental Management
V. Dhayalan; K. Sudalaimuthu
Abstract
Rapid human population growth and its consequences of food shortage become a significant concern in recent decades across the world. The untold reasons behind this food shortage were industrialization, urbanization, modern civilization, etc., where the agricultural land has been deployed. With the decreasing ...
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Rapid human population growth and its consequences of food shortage become a significant concern in recent decades across the world. The untold reasons behind this food shortage were industrialization, urbanization, modern civilization, etc., where the agricultural land has been deployed. With the decreasing farmland and its cultivation, food productivity declined drastically and failed to serve the world's vast human population. The present challenge is to increase productivity with the least agricultural land. Thus, excessive chemical fertilizer has been used to quickly turn out more outstanding food production, leading to more significant damages to soil ecosystem and human health. Henceforth, bio-fertilizers find the best alternatives to chemical fertilizers. This study focuses on complete nature of plant growth Promoting rhizobacteria, which is used in bio fertilizers for sustainable agricultural productivity and everlasting soil fertility. The characteristics of plant growth promoting rhizobacteria and its role in plant growth and formulation of plant growth promoting rhizobacteria biofertilizers have been revealed through intensive literature. The consortium information collected from various literatures brings the unique findings that plant growth promoting rhizobacteria is the natural boon to the global agriculturist. This study discusses plant growth promoting rhizobacteria bacterial strains' role in protecting the soil from various biotic and abiotic stresses, regulating plant growth and its role in producing biofertilizers. Besides, it is transformed into commercial products. Eventually, the future trends and research in plant growth promoting rhizobacteria bio inoculants that promote sustainable agriculture have been elucidated. The microorganism is the bio fertilizer's main ingredients, promoting the soil nutrients for efficient plant growth and increasing food productivity. Although many microorganisms efficiently contribute to the soil nutrients, this review narrows down to the plant growth promoting rhizobacteria study. Beneficial bacterium plays a vital role in nutrient mineralization and productivity among the various microorganisms. Bio fertilizers containing beneficial bacteria were economically viable and readily available in nature. This review reveals the complete essence of plant growth promoting rhizobacteria and its part in bio fertilizers.
Environmental Management
C. Loukrakpam; B. Oinam
Abstract
BACKGROUND AND OBJECTIVE: Soil erosion is considered one of the major indicators of soil degradation in our environment. Extensive soil erosion process leads to erosion of nutrients in the topsoil and decreases in fertility and hence productivity. Moreover, creeping erosion leads to landslides in the ...
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BACKGROUND AND OBJECTIVE: Soil erosion is considered one of the major indicators of soil degradation in our environment. Extensive soil erosion process leads to erosion of nutrients in the topsoil and decreases in fertility and hence productivity. Moreover, creeping erosion leads to landslides in the hilly regions of the study area that affects the socio-economics of the inhabitants. The current study focuses on the estimation of soil erosion rate for the year 2011 to 2019 and projection for the years 2021, 2023 and 2025.METHODS: In this study, the Revised Universal Soil Loss Equation is used for estimation of soil erosion in the study area for the year 2011 to 2019. Using Artificial Neural Network-based Cellular Automata simulation, the Land Use Land Cover is projected for the future years 2021, 2023 and 2025. Using the projected layer as one of the spatial variables and applying the same model, Soil Erosion based on Revised Universal soil loss equation is projected for a corresponding years.FINDINGS: For both cases of projection, simulated layers of 2019 (land use land cover and soil erosion) are correlated with the estimated layer of 2019 using actual variables and validated. The agreement and accuracy of the model used in the case land use are 0.92 and 96.21% for the year 2019. The coefficient of determination of the model for both simulations is also observed to be 0.875 and 0.838. The simulated future soil erosion rate ranges from minimum of 0 t/ha/y to maximum of 524.271 t/ha/y, 1160.212 t/ha/y and 783.135 t/ha/y in the year 2021, 2023 and 2025, respectively.CONCLUSION: The study has emphasized the use of artificial neural network-based Cellular automata model for simulation of land use and land cover and subsequently estimation of soil erosion rate. With the simulation of future soil erosion rate, the study describes the trend in the erosion rate from past to future, passing through present scenario. With the scarcity of data, the methodology is found to be accurate and reliable for the region under study.
Environmental Management
V. G. Shcherbak; I. Gryshchenko; L. Ganushchak-Yefimenko; O. Nifatova; V. Tkachuk; T. Kostiuk; V. Hotra
Abstract
BACKGROUND AND OBJECTIVES: A new wave of Covid-19 pandemic has worsened the epidemiological situation in Ukraine. This caused the need to tighten quarantine measures that have been introduced since 31.08.2020. The conducted analysis showed that there are 3 groups of technologies for digital contact tracing: ...
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BACKGROUND AND OBJECTIVES: A new wave of Covid-19 pandemic has worsened the epidemiological situation in Ukraine. This caused the need to tighten quarantine measures that have been introduced since 31.08.2020. The conducted analysis showed that there are 3 groups of technologies for digital contact tracing: from maximum (25%) to minimum (20%). Objective of the study is to develop an exchange platform to track the spread of COVID-19 in rural areas.METHODS: Factor analysis identified key factors of COVID-19 virus spread. Cluster analysis identified clusters of COVID-19 spread. Taxonomy method established the limits of using contact tracing methods. Discriminatory method makes it possible to change the applied contact tracing method.FINDINGS: The results showed that the identified factors (medico-demographic special features of Covid-19 virus spread; rural infrastructure to counteract the infection) describe in total 83.24% of the data processed. Specified 4 clusters differ in the level of susceptibility of the population to COVID-19 and infrastructure development: from minimum (33% of the united territorial communities) to maximum - 13% of the united territorial communities. The value of the integral indicator calculated provides means for establishing the maximum (8.5) and the minimum (2) limit of changes in the method of digital contact tracing.CONCLUSION: The developed methodology was implemented on the basis of the united territorial communities of Sumy region. Monitoring of changes in the epidemiological situation made it possible to justify the need to change the contact tracing model, which will reduce the epidemiological level in the region as a whole by 30%.
Environmental Management
A. Jaiswal; C. Samuel
Abstract
BACKGROUND AND OBJECTIVES: The study provides an assessment of fuel wastage, particulate matter particles pollution, and noise pollution at three toll booths near district Varanasi, India. The objective of the study is to analyze the effects of vehicle idling conditions on road tolls in terms of pollution ...
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BACKGROUND AND OBJECTIVES: The study provides an assessment of fuel wastage, particulate matter particles pollution, and noise pollution at three toll booths near district Varanasi, India. The objective of the study is to analyze the effects of vehicle idling conditions on road tolls in terms of pollution and fuel wastage.METHODS: The study used mathematical formulation on queuing observations for assessment of fuel wastage due to vehicle idling at toll booths. Handheld device HT-9600 Air Particle counter was used for getting the readings of PM2.5 and PM10. SL10 noise meter of Extech Instruments was used for measuring the noise levels at the selected three toll booths of Dafi Toll Booth, Lalanagar Toll Booth, and Mohania Toll Booth.FINDING: The study assessed a greater extent of fuel wastage at all the three toll booths with maximum fuel wastage at Dafi Toll booth due to vehicle idling. In terms of air pollution, severe levels of particulate matter particles were observed over all the three toll booths. The noise levels over the three toll booths were also observed significantly high.CONCLUSION: The study suggested that serious measures are required to control and regulate toll booths to avoid vehicle idling, which will lead to savings of fuel and air and noise pollution.
Environmental Management
G. R. Puno; R. C. Puno; I. V. Maghuyop
Abstract
BACKGROUND AND OBJECTIVES: The study involved developing a two-dimensional flood model to analyze the risk exposure of land use/land cover based on the generated flood hazard maps for the six return period scenarios in the Solana watershed.METHODS: The approach consisted of applying hydrologic and hydraulic ...
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BACKGROUND AND OBJECTIVES: The study involved developing a two-dimensional flood model to analyze the risk exposure of land use/land cover based on the generated flood hazard maps for the six return period scenarios in the Solana watershed.METHODS: The approach consisted of applying hydrologic and hydraulic numerical flood models and the suite of advanced geographic information systems and remote sensing technologies. The process involved utilizing a high-resolution digital elevation model and a set of high-precision instruments such as the real-time kinematic-global position system receiver, digital flow meter, deep gauge, and automatic weather station in collecting the respective data on bathymetry, river discharge, river depth, and rainfall intensity during a particular climatic event, needed for the model development, calibration and validation.FINDINGS: The developed two-dimensional flood model could simulate flood hazard with an 86% accuracy level based on the coefficient of determination statistics. The flood risk exposure analysis revealed that coconut is the most affected, with 31.3% and 37.1% being at risk across the 2-year and 100-year return period scenarios, respectively. Results also showed that rice and pineapple are at risk of flooding damage with the increasing rate of exposure by a magnitude of 42.9 and 9.3 across the 2-year and 100-year flood scenarios, respectively.CONCLUSION: The study highlighted the integration of the findings and recommendations in the localized comprehensive land use plan and implementation to realize the challenge of building a climate change proof and a flood-resilient human settlement in the urbanizing watershed of Solana.
Environmental Management
J. G. Weekes; J. C. Musa Wasil; K. Malave Llamas; C. Morales Agrinzoni
Abstract
BACKGROUND AND OBJECTIVES: Solid waste management which entails the generation, storage, collection, transportation, processing, treatment and disposal of waste products is regarded as a challenge to many countries worldwide. The focus and methods vary in all territories given the wide range of factors ...
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BACKGROUND AND OBJECTIVES: Solid waste management which entails the generation, storage, collection, transportation, processing, treatment and disposal of waste products is regarded as a challenge to many countries worldwide. The focus and methods vary in all territories given the wide range of factors which influence waste management. Small Island Developing States face unique challenges which are influenced by their peculiar physical, economic, social, political and institutional characteristic. Consequently, they require a solid waste management system tailored to their unique requirements.METHODS: Qualitative and quantitative data were gathered between February and November 2019 from various primary and secondary sources using the following instruments and techniques: literature review of reports, news articles, legislation, journals and case studies; on-site observations; and administering questionnaires in the study area in October 2019. The study area comprised 3 communities which were representative of the waste management district, and were selected using the purposive sampling method, while the sample size of 0.3% of the households in the study area was selected randomly by administering questionnaires to anonymous respondents in arbitrary households in the communities. Using descriptive methods, data was tallied and grouped, then the content analysed to determine patterns, to answer questions to the problems and to determine relationships and themes. Findings were summarised, simplified and presented in formats such as graphs and tables and written descriptive accounts. FINDINGS: Solid waste management affects all countries irrespective of their level of development. The focal point varies across societies. Small Island Developing States have a unique challenge posed by their particular characteristics. Given that each territory has a peculiar mix of factors, any solid waste management system derived must be exclusive to each. There is no single, ideal system which can be proposed. Whatever the system decided upon, it must encompass the socioeconomic, cultural, economic, legislative, institutional and environmental context of the territory, but most of all it must be accepted by the majority of stakeholders. CONCLUSION: A solid waste management system must be unique to each area, given that there are many dynamic variables which affect the system. Consequently, the system derived from this study can only be applied in its entirety to the study area. Other areas with similar characteristics can lend examples from the study area.
Environmental Management
. Sunarti; J.H. Tjakraatmadja; A. Ghazali; B. Rahardyan
Abstract
BACKGROUND AND OBJECTIVES: Resident participation in waste management is essential to overcome waste problems effectively. In many developing countries, the local government has been struggling to encourage resident involvement in the waste management process, but the participation rate is still ...
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BACKGROUND AND OBJECTIVES: Resident participation in waste management is essential to overcome waste problems effectively. In many developing countries, the local government has been struggling to encourage resident involvement in the waste management process, but the participation rate is still low. Thus, it requires a system that can encourage residents to participate effectively and sustainably. Therefore, this study aimed to determine what determinant factors, either extrinsic or intrinsic, significantly improve resident participation by changing behaviour toward waste management.METHODS: This study tried to get insights from previous studies about key determinant factors affecting resident behaviour toward waste management to improve participation, significantly using a literature review method.FINDINGS: Educational setting for residents is crucial to improve waste management participation by cultivating key intrinsic factors with support from extrinsic factors that lead to changing behaviour. This study identified eight types of key contents shared in the educational setting to ensure its improvement. Key intrinsic factors should be cultivated, including six kinds of knowledge and five emotional domain factors. The six critical types of knowledge include technical experience, waste management performance knowledge, perception of benefits, environmental awareness, understanding of individual and social responsibility, and understanding the social norms and regulations. The five intrinsic factors in the emotional domain include environmental efficacy, motivation, personal moral norms, PBC, and Attitude toward waste management. All the critical determinant factors, including intrinsic and extrinsic factors, should support each other to improve residents’ behaviour, leading to sustainable participation.CONCLUSION: Relevance of educational content to the residents is crucial to ensure educational intervention effectiveness. With full support from the antecedent factors, waste management behaviour can be nurtured sustainably, significantly increasing the participation rate. Combining extrinsic and intrinsic factors is recommended to ensure the effectiveness of the improvement of resident participation.
Environmental Management
R. Torres; N. Baker; G. Bernal; F. Peres; A. Maldonado; D.D. Caceres
Abstract
BACKGROUND AND OBJECTIVES: The goal of this study is to evaluate in a time-series study the short-term effects of particulate matter-2.5exposure on respiratory emergency visits in six central-southern Chilean cities highly contaminated by wood smoke.METHODS: Association was assessed using both distributed ...
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BACKGROUND AND OBJECTIVES: The goal of this study is to evaluate in a time-series study the short-term effects of particulate matter-2.5exposure on respiratory emergency visits in six central-southern Chilean cities highly contaminated by wood smoke.METHODS: Association was assessed using both distributed lag linear and non-linear Poisson models constrained to a 7-day lag period, adjusting for temporal trends and meteorological variables and stratifying seasonally into cold and warm periods.FINDING: The results showed that the daily average concentrations of particulate matter-2.5in the cold period were 3 to 6 times those recorded in the warm period, exceeding the daily norm of 50 µg/m3 the 93.3% of the time versus 6.7%, respectively. The average daily number of respiratory emergency visits were between 30% and 64% higher in the cold period compared to the warm one. From linear models, cumulative relative risk ratios over 0-7 day lags per 10 mg/m3 of fine particle increase were between 1.004 (95% confidence Interval: 0.998 - 1.010) and 1.061 (95% confidence Interval: 1.049 - 1.074); these annual effects are attributable to the cold period impact where the cumulative risk ratios were between 1.008 (95% confidence Interval: 1.004 - 1.012) and 1.036 (95% confidence Interval: 1.026 - 1.047), since significant effects of fine particles on the studied risk were not found for the warm period.CONCLUSION: With non-linear models we observed strong increasing associations with the level of particles for the overall period. High levels of fineparticles from firewood are associated with respiratory effects observable several days after exposure. Health effects found in this study suggest that current policies tending to mitigate woodsmoke-related emissions should continue and reinforce.
Environmental Management
B. Zaman; W. Oktiawan; M. Hadiwidodo; E. Sutrisno; P. Purwono
Abstract
BACKGROUND AND OBJECTIVES: Urban intensity and activities produce a large amount of biodegradable municipal solid waste. Therefore, biodrying processing was adopted to ensure the conversion into Refuse Derived Fuel and greenhouse gases.METHODS: This study was performed at a greenhouse, using six biodrying ...
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BACKGROUND AND OBJECTIVES: Urban intensity and activities produce a large amount of biodegradable municipal solid waste. Therefore, biodrying processing was adopted to ensure the conversion into Refuse Derived Fuel and greenhouse gases.METHODS: This study was performed at a greenhouse, using six biodrying reactors made from acrylic material, and equipped with digital temperature recording, blower, and flow meters. The variations in airflow (0, 2, 3, 4, 5, 6 L/min/kg) and the bulking agent (15%) were used to evaluate calorific value, degradation process and GHG emissions.FINDINGS: The result showed significant effect of airflow variation on cellulose content and calorific value. Furthermore, the optimum value was 6 L/min/kg, producing a 10.05% decline in cellulose content, and a 38.17% increase in calorific value. Also, the water content reduced from 69% to 40%. The CH4 concentration between control and biodrying substantially varied at 2.65 ppm and 1.51 ppm respectively on day 0 and at peak temperature. Morever, the value of N2O in each control was about 534.69 ppb and 175.48 ppb, while the lowest level was recorded after biodrying with 2 L/min/kg airflow.CONCLUSION: The calorific value of MSW after biodrying (refuse derived fuel) ranges from 4,713 – 6,265 cal/g. This is further classified in the low energy coal (brown coal) category, equivalent to <7,000 cal/g. Therefore, the process is proven to be a suitable alternative to achieve RDF production and low GHG emissions.
Environmental Management
H.T.T. Nguyen; C.-H. Lee; R.-J. Hung
Abstract
BACKGROUND AND OBJECTIVES: The sheer volume of electrical and electronic waste (e-waste) has presently been generated in Vietnam, posing a growing concern regarding its impact can have on the environment and human health. Therefore, the need for developing policies and regulations towards the environmentally ...
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BACKGROUND AND OBJECTIVES: The sheer volume of electrical and electronic waste (e-waste) has presently been generated in Vietnam, posing a growing concern regarding its impact can have on the environment and human health. Therefore, the need for developing policies and regulations towards the environmentally sound management of e-waste is becoming crucial. Although the municipalities play an important role in e-waste recycling program, there does not appear to be any study involving residents’ perceptions on e-waste management. This paper aims to examine the influencing factors of end users’ willingness to pay and their payment preferences toward e-waste recycling. METHODS: The logistic regression model was employed to analyze a qualified data set collected through a personal interview survey in Danang city, Vietnam. All analyses were conducted using Statistical Package for Social Sciences software (version 22.0). FINDINGS: The results revealed that the end users’ willingness to participate in recycling programs, laws and regulations, inconvenience of recycling and past experience were four key determinants significantly contributing to the willingness to pay for recycling e-waste. With regards recycling payment methods, most of the participants (36%) were in favor of deposit and refund scheme, while pre-disposal fees and advanced recycling fees came in second and third place (25.8% and 21%, respectively), making monthly payment of recycling fees the least preferred (10.2%). CONCLUSION: These findings may provide policy-makers with crucial information for better e-waste management policy development, which helps address the conflict between development and conservation, may be applicable in Vietnam and other countries as well.
Environmental Management
M.R. Limon; J.P.C. Vallente; N.C.T. Corales
Abstract
This study examined the waste management beliefs and practices of selected households in a Philippine rural municipality. The sample used for this study involved rural families comprising of 332 households, which was drawn from the population using multistage cluster unequal allocation sampling ...
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This study examined the waste management beliefs and practices of selected households in a Philippine rural municipality. The sample used for this study involved rural families comprising of 332 households, which was drawn from the population using multistage cluster unequal allocation sampling technique. Descriptive statistics was used to analyze data gathered. Findings show that households encountered many problems when it comes to practicing traditional and modern ways of solid waste management. Moreover, it was revealed that participants were ill-informed about the various aspects of waste management, and that there was little reuse and recycling of waste materials among the households. In terms of the participants’ solid waste management beliefs, their ratings yielded a X̄ score of 1.08, which means that they generally have positive beliefs towards managing household wastes. When it comes to their practices, participants obtained a X̄ score of 2.59, suggesting that the selected households apply, to certain degrees, various acceptable waste disposal measures. Nevertheless, they also demonstrated beliefs and practices that were not environment friendly. From these findings, this study proposed a plan of solid waste management activities for households, which was collaboratively assessed by local government authorities. The proposed plan was unanimously accepted by the evaluators, who approved of the intervention’s wide-scale implementation in the province. A number of significant implications were offered in this study, such as conducting community workshops and campaigns for the effective management of solid wastes.
Environmental Management
V. G. Shcherbak; I. Brizgan; V. Chevhanova; L. Svistun; O. Hryhoryeva
Abstract
This study provides a comprehensive scientific analysis of contemporary problems resulted from the forced migration of the Ukrainian population and its impact on the sustainable development of 47 host communities of Poltava region. By means of cluster analysis 4 clusters of 26 rural territories were ...
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This study provides a comprehensive scientific analysis of contemporary problems resulted from the forced migration of the Ukrainian population and its impact on the sustainable development of 47 host communities of Poltava region. By means of cluster analysis 4 clusters of 26 rural territories were identified. They differ in the size of local budgets and the involvement level of forcedly displaced population into the local economy. Factor analysis showed that the involvement level of forcedly displaced population in the region's economy is determined by 2 groups according to 10 indicators. 8 indicators of the first factor determine 2/3 of the dispersion of refugees' impact on rural economy. The first factor reduces the gross regional product by 61.75%. The indicators of the second factor shows a positive impact and determines 15% of the dispersion. The use of game theory to identify conflicts of interest between refugees and host communities was justified. The reasonability to use the taxonomy method to construct a map of positioning rural areas according to the size of local budgets and the degree of integration of refugees is justified. The use of the created map identified the “growth points” in particular clusters. As a result of the implementation of the proposed conflict resolution mechanism between refugees and host communities, the budget of the rural areas of the first cluster increased by 18%, the second cluster by 14.5%, the third cluster by 13%, the fourth by 8%, refugee participation by 30%.
Environmental Management
T.T. Tran; Y.M.T. Nguyen; L.T. Pham; B.K. Veettil; S.N. Hoang; Q.X. Ngo
Abstract
The Lo Go-Xa Mat is a national park in the southeastern region of Vietnam, which has a particularly high biodiversity and it includes different wetlands which are unique diverse in species composition. It can be categorized into two types: temporarily-seasonally and permanently flooded wetlands. Ta Not ...
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The Lo Go-Xa Mat is a national park in the southeastern region of Vietnam, which has a particularly high biodiversity and it includes different wetlands which are unique diverse in species composition. It can be categorized into two types: temporarily-seasonally and permanently flooded wetlands. Ta Not grassy marsh is representative of the seasonally flooded wetland. Whilst the diversity and ecology of plants and mammals are well documented, little or no information of the benthic ecology in the seasonally flooded wetland exist. This study aims to provide a new database of the nematode’s structure in the seasonally flooded wetland and its relation with environmental variables as well as detection of the ecological quality, considering nematodes as bioindicators. This work is the first investigation on nematodes communities in associate with some environmental variables in the Ta Not grassy marsh. The results showed that free-living nematodes in the Ta Not seasonally flooded grassy marsh are characterized by the high density (ranged from 235.01 to 898.43 inds.10cm-2) but rather low diversity. More specifically, the genus richness (S) ranged from 8.20 to 8.60. The observed Margalef’s species richness (d) was ranging from 1.07 to 1.53 and the Shannon-Wiener index (H') was measured from 2.36 to 2.52. In addition, the Pielou's evenness (J′) ranged from 0.55 to 0.68 and the Hill indices indicated average values ranging between 5.46- 5.84 for N1, between 4.32-4.60 for N2, and between 2.64-2.86 for Ninf. Specifically, our results indicated that deep level, pH, and NH4+ showed a significant correlation with the nematode density and bio-indices. The sediment of the Ta Not grassy marsh was assessed as in good conditions in all stations based on the Maturity Index of nematodes.
Environmental Management
T.T. Tran; L.T. Pham; Q.X. Ngo
Abstract
Currently, the pandemic caused by a novel coronavirus, namely severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is one of the most serious issues worldwide. SARS-CoV-2 was first observed in Wuhan, China, on December 31, 2019; this disease has been rapidly spreading worldwide. Iran was the ...
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Currently, the pandemic caused by a novel coronavirus, namely severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is one of the most serious issues worldwide. SARS-CoV-2 was first observed in Wuhan, China, on December 31, 2019; this disease has been rapidly spreading worldwide. Iran was the first Middle East country to report a coronavirus death, it has been severely affected. Therefore, it is crucial to forecast the pandemic spread in Iran. This study aims to develop a prediction model for the daily total confirmed cases, total confirmed new cases, total deaths, total new deaths, growth rate in confirmed cases, and growth rate in deaths. The model utilizes SARS-CoV-2 daily data, which are mainly collected from the official website of the European Centre for Disease Prevention and Control from February 20 to May 04, 2020 and other appropriated references. Autoregressive integrated moving average (ARIMA) is employed to forecast the trend of the pandemic spread. The ARIMA model predicts that Iran can easily exhibit an increase in the daily total confirmed cases and the total deaths, while the daily total confirmed new cases, total new deaths, and growth rate in confirmed cases/deaths becomes stable in the near future. This study predicts that Iran can control the SARS-CoV-2 disease in the near future. The ARIMA model can rapidly aid in forecasting patients and rendering a better preparedness plan in Iran.
Environmental Management
D. Yadav; H. Maheshwari; U. Chandra
Abstract
Origin of the coronavirus was the seafood market of Wuhan city, Hubei province in China. The cases of someone suffering from COVID-19 can be traced back to the end of December 2019 in China. This is the most infectious disease and spread worldwide within three months after the first case reported. The ...
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Origin of the coronavirus was the seafood market of Wuhan city, Hubei province in China. The cases of someone suffering from COVID-19 can be traced back to the end of December 2019 in China. This is the most infectious disease and spread worldwide within three months after the first case reported. The World Health Organization renames Coronavirus as COVID-19. COVID-19 is the β-Coronavirus family virus, effect on the lung of human and common symptoms are cough, fever, fatigue, respiratory problem, and cold. The full name of the coronavirus is severe acute respiratory syndrome SARS-CoV. It spread on humans as well as animals and infected more than 183 countries with 2959927 confirm cases and 202733 deaths till 28 April 2020. 84 days data is used to predict confirmed and death cases for the next 10 days by using prophet and daily average based algorithm. Predicted confirmed cases are 2886183 and death cases 190540 till 25 April 2020. This study introduces the spreading pattern of COVID-19 in the top ten infected countries. After China, European countries are the most infected ones. In this study, data was analyzed on the attributes confirmed, active, recovered and death cases, and next ten days outbreak prediction. Some countries state-wise data confirmed active and death cases also analyzed.
Environmental Management
N. Gupta; A. Tomar; V. Kumar
Abstract
COVID-19 is a huge tragedy for the world community. Everything in the world is affected due to this pandemic right from economy to resources where the economy of major countries of the world are facing recession and resources are surplus with no takers at all. The measures to contain COVID-19 pandemic ...
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COVID-19 is a huge tragedy for the world community. Everything in the world is affected due to this pandemic right from economy to resources where the economy of major countries of the world are facing recession and resources are surplus with no takers at all. The measures to contain COVID-19 pandemic include lockdown, social distancing, isolation, and home quarantine. Lockdown adopted by the different governments which involve non-functioning of all the industry and manufacturing units. However, as a blessing in disguise, these measures have a positive effect on the environment in terms of reduction in toxic gasses like nitrogen dioxide, aerosols, atmosphere ozone, particulate matter, and improvement in air quality. In this paper, the effect on various environmental parameters like aerosol, ozone, particulate matter, nitrogen dioxide, sulfur dioxide, carbon monoxide, and temperature on India by lockdown due to COVID-19 as a preventive measure has been analyzed. The work involves the refining and preprocessing of raw data of this year and last year of various harmful pollutants present in the environment along with satellite images from National Aeronautics and Space Administration for comparison of different parameters. It has been observed that with the above adopted measures temperature has been reduced to near about 15 degree Celsius, there is also reduction in humidity i.e. it is reduced to 40%, particulate matter (PM2.5) reaches near about normal i.e. 40 g/m3 and carbon monoxide levels has also been reduced to 10 ppm. The main idea is to emphasize the fact that how the environment is self-healing during the lockdown. And this study will be beneficial to environmentalists and industry professionals to make the future strategy for improving the environment.
Environmental Management
O. Ouhsine; A. Ouigmane; El. Layati; B. Aba; R. Isaifan; M. Berkani
Abstract
Houshold waste is the residue generated daily by people as a result of consuming goods and services. The qualitative and quantitative aspects depend on the lifestyle and standard of living of citizens. Hence a change in habits, following an economic or health crisis, can influence the production of waste ...
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Houshold waste is the residue generated daily by people as a result of consuming goods and services. The qualitative and quantitative aspects depend on the lifestyle and standard of living of citizens. Hence a change in habits, following an economic or health crisis, can influence the production of waste and its composition. The objective of the present work is to assess the impact of lockdown on the generation of trash and on the habits related to the consumption of goods in two communes in Morocco. More specifically, this study would investigate the behavior of citizens with regard to protective equipment against the coronavirus COVID-19. The results of the survey show that there is an influence of lockdown on the items purchased during this period, with an increase in the purchase of disinfectant products and a decrease in the consumption of meat and canned goods. Thus, the results showed that the quantity of organic fractions had decreased in the domestic waste with the appearance of other fractions such as residues of cleaning products. In addition, the survey conducted showed that 87% of respondents mix coronavirus protective equipment with household waste, which may contribute to the spread of the virus. Concerning the quantitative aspect, the weigh-ups showed that the monthly rate of increase of waste production between the months of February and March 2019 and the corresponding period in 2020 have decreased from +11.41% to +3.8% in the city of Khenifra (from 2,572 ton in Mars 2019 to 2,456 ton in the correspondent period in 2020) and from +4.73% to -1.23% in the center of Tighassaline (from 136 ton in Mars 2019 to 123 ton in the correspondent period in 2020).
Environmental Management
S.K. Tamang; P.D. Singh; B. Datta
Abstract
Artificial neural network is considered one of the most efficient methods in processing huge data sets that can be analyzed computationally to reveal patterns, trends, prediction, forecasting etc. It has a great prospective in engineering as well as in medical applications. The present work employs artificial ...
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Artificial neural network is considered one of the most efficient methods in processing huge data sets that can be analyzed computationally to reveal patterns, trends, prediction, forecasting etc. It has a great prospective in engineering as well as in medical applications. The present work employs artificial neural network-based curve fitting techniques in prediction and forecasting of the Covid-19 number of rising cases and death cases in India, USA, France, and UK, considering the progressive trends of China and South Korea. In this paper, three cases are considered to analyze the outbreak of Covid-19 pandemic viz., (i) forecasting as per the present trend of rising cases of different countries (ii) forecasting of one week following up with the improvement trends as per China and South Korea, and (iii) forecasting if followed up the progressive trends as per China and South Korea before a week. The results have shown that ANN can efficiently forecast the future cases of COVID 19 outbreak of any country. The study shows that the confirmed cases of India, USA, France and UK could be about 50,000 to 1,60,000, 12,00,000 to 17,00,000, 1,40,000 to 1,50,000 and 2,40,000 to 2,50,000 respectively and may take about 2 to 10 months based on progressive trends of China and South Korea. Similarly, the death toll for these countries just before controlling could be about 1600 to 4000 for India, 1,35,000 to 1,00,000 for USA, 40,000 to 55,000 for France, 35,000 to 47,000 for UK during the same period of study.
Environmental Management
R.E. Caraka; Y. Lee; R. Kurniawan; R. Herliansyah; P.A. Kaban; B.I. Nasution; P.U. Gio; R.C. Chen; T. Toharudin; B. Pardamean
Abstract
COVID-19 has a severe and widespread impact, especially in Indonesia. COVID-19 was first reported in Indonesia on March 03, 2020 then rapidly spread to all 34 provinces by April 09, 2020. Since then, COVID-19 is declared a state of national disaster and health emergency. This research analyzes ...
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COVID-19 has a severe and widespread impact, especially in Indonesia. COVID-19 was first reported in Indonesia on March 03, 2020 then rapidly spread to all 34 provinces by April 09, 2020. Since then, COVID-19 is declared a state of national disaster and health emergency. This research analyzes the difference of CO, HCHO, NO2, and SO2 density in Jakarta, West Java, Central Java, and South Sulawesi before and during the pandemic. Also, this study assesses the effect of large scale restrictions on the economic growth during COVID-19 pandemic in Indonesia. In a nutshell, the results on Wilcoxon and Fisher test by significance level α=5% as well as odds ratio showed that there are significant differences of CO density in all regions with highest odds ratio in East Java (OR=9.07), significant differences of HCHO density in DKI Jakarta, East Java, and South Sulawesi. There are significant differences of NO2 density before and during public activities limitation in DKI Jakarta, West Java, East Java, and South Sulawesi. However, the results show that there are no significant differences of SO2 density in all regions. In addition, this research shows that there are significant differences of retail, grocery and pharmacy, and residental mobility before and during the COVID-19 pandemic in Indonesia. This research also shows that during the COVID-19 pandemic there are severe economic losses, industry, companies, and real disruptions are severe for all levels of life due to large scale restrictions.
Environmental Management
M.H. Masum; S.K. Pal
Abstract
Air pollution has become a serious concern for its potential health hazard, however, often got less attention in developing countries, like Bangladesh. It is expected that worldwide lockdown due to COVID-19 widespread cause reduction in environmental pollution in particularly the air pollution: however, ...
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Air pollution has become a serious concern for its potential health hazard, however, often got less attention in developing countries, like Bangladesh. It is expected that worldwide lockdown due to COVID-19 widespread cause reduction in environmental pollution in particularly the air pollution: however, such changes have been different in different places. In Chittagong, a city scale lockdown came in force on 26 March 2020, a week after when first three cases of COVID-19 have been reported in Bangladesh. This study aims to statistically evaluate the effects of COVID-19 lockdown (26 March to 26 April 2020) on selected air quality pollutants and air quality index s. The daily average concentrations of air pollutants PM10, PM2.5, NO2, SO2 and CO of Chittagong city during COVID-19 lockdown were statistically evaluated and were compared with dry season data averaging over previous 8 years (2012 to 2019). During lockdown, except NO2, all other pollutants studied showed statistically significant decreasing trend. During the COVID-19 shutdown notable reduction of 40%, 32% and 13% compared to the daily mean concentrations of these previous dry season were seen for PM2.5, PM10 and NO2, respectively. The improvement in air quality index value was found as 26% in comparison to the previous dry season due to less human activities in COVID-19 shutdown. The factor analysis showed that AQI in Chittagong city is largely influenced by PM10 and PM2.5 during COVID-19 shutdown. The lesson learnt in this forced measure of lockdown is not surprising and unexpected. It is rather thought provoking for the decision makers to tradeoff the tangible air quality benefits with ongoing development strategies’ that was often overlooked directly or indirectly.
Environmental Management
S. Kozlovskyi; D. Bilenko; M. Kuzheliev; R. Lavrov; V. Kozlovskyi; H. Mazur; A. Taranych
Abstract
At the end of 2019, the new virus called Coronavirus Disease (Covid-19) spread widely from China all over the world. In March 2020 the World Health Organization declared a new virus outbreak as “a global pandemic”, and recommended social distancing and quarantine. Most countries in Europe ...
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At the end of 2019, the new virus called Coronavirus Disease (Covid-19) spread widely from China all over the world. In March 2020 the World Health Organization declared a new virus outbreak as “a global pandemic”, and recommended social distancing and quarantine. Most countries in Europe have been quarantined. The social aspect of this issue is complicated by the fact that Europe nowadays hosts 82 million international migrants. If migrant workers leave the host country, it reduces the Covid-19 spread. Nevertheless, if migrant workers do not return, it will worsen the situation with the economic crisis. The subject of the study is the instrumental and mathematical aspects of impact simulation of labor migrants’ policy on the economic growth of the host country affected by COVID-19 pandemic. The aim of the work is to develop the system dynamics model for assessing labor migrants’ policy impact on the economic growth of the host country during COVID-19 pandemic. It examined through hypotheses of different scenarios of labor migrants policy impact on the host country economic growth in Covid-19 pandemic. The proposed model combines epidemiological and the economic growth models and relies upon real statistical data. The analysis was carried out in four European countries. The results of the study enabled to state that without migrant workers the gross domestic product may fall to 43% in Italy, 45% in Netherlands, 37% in Spain and 200% in Switzerland in 2020.
