K.O. Demirarslan; B.Y. Çelik
Abstract
In the current study, the solid waste characterisation that belongs to Artvin city centre, which is located in East Black Sea Region of Turkey, were searched. The study has the feature of being the first study for the country of Artvin in terms of study. The field of study is composed of 7 neighborhoods ...
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In the current study, the solid waste characterisation that belongs to Artvin city centre, which is located in East Black Sea Region of Turkey, were searched. The study has the feature of being the first study for the country of Artvin in terms of study. The field of study is composed of 7 neighborhoods and those can be separated into 3 groups as low, middle and high level of income. In this study, 11 kind of waste were examined, which are organic, paper, plastic, glass, metal, ash, electronic, textile, garden waste, hazardous and others. The effect of seasons on the amount of waste was examined; also, the relationship between the amount of waste and the level of income was also examined by using the two-way ANOVA analysis. Furthermore, all ratios of wastes that are located in Artvin city centre were searched. According to that, the waste ratios, occurs in one year, of all neighborhoods in the Artvin city centre are found as 61.06% organic, 10.28% paper, 9% plastic, 3.20% glass, 2.29% metal, 3.87% ash, 0.037% electronic, 1.58% textile, 1.35% garden waste, 0.51 % hazardous and 7.23% others. Those obtained values were compared with other similar studies in the literature. Moreover, for collecting recyclable wastes for the city centre 3 different methods are proposed named as methods collection from households, collection from buildings and collection from neighborhoods. These methods have been studied economically and the collection from buildings method is the most appropriate among these three methods.
K. A. Ullah; J. Jiang; P. Wang
Abstract
Surface waters are the most important economic resource for humans which provide water for agricultural, industrial and anthropogenic activities. Surface water quality plays vital role in protecting aquatic ecosystems. Unplanned urbanization, intense agricultural activities and deforestation are positively ...
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Surface waters are the most important economic resource for humans which provide water for agricultural, industrial and anthropogenic activities. Surface water quality plays vital role in protecting aquatic ecosystems. Unplanned urbanization, intense agricultural activities and deforestation are positively associated with carbon, nitrogen and phosphorous related water quality parameters. Multiple buffers give robust land use land cover and water quality model and highlight the impacts of land use land cover characteristics on water quality parameters at various scales which will guide watershed managers for particular application of best management practices to enhance stream health. Traditionally, water quality data collections are based on discrete sampling and were analyzed through statistical techniques which were designed for spatially isolated measurements. Traditional multivariate statistical approaches uncover hidden information in water quality data but they are unable to expose spatial relationship. The complexity of information in water quality data needs new statistical approaches which uncover spatiotemporal variability. This review briefly discusses influences of land use land cover characteristics on surface water quality, effects of spatial scale on land use land cover- water quality relationship, and water quality modeling using various statistical approaches. Every statistical method has unique purpose, application and solves different problems. This review article pinpoints that how statistical approaches in combination with spatial scale can be applied to develop statistically significant land use land cover- water quality relationship for better water quality evaluation.
Environmental Management
S. Ali; S. Patnaik; O. Madguni
Abstract
Urbanization brings biophysical changes in the composition of the landscape. Such change has an impact on the thermal environment locally. The urban mosaic of land use and land cover is thus characteristically composed of local climate zones. The spatial variation in the land surface temperature across ...
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Urbanization brings biophysical changes in the composition of the landscape. Such change has an impact on the thermal environment locally. The urban mosaic of land use and land cover is thus characteristically composed of local climate zones. The spatial variation in the land surface temperature across specific zone is studied for Bhopal city. The objective of the study was to understand how the surface temperature varies with the spatial characteristics of the landscape. The green spaces had the lowest surface temperature that reaches to about 30.5 °C in parks with dense tree cover and highest mean normalized difference vegetation index value of about 0.5. The surface temperature was 36.1 °C for built up/barren areas. The study documents the correlation that exists between surface vegetation and surface temperature across the landscape of Bhopal city. The extent of tree cover and land surface temperature exhibited a strong negative correlation. A decrease in vegetation cover and successive increase in urban built up area were found to be related with high surface temperature. This implies that land surface temperature is an effective tool and may help city planners to make appropriate strategies for improving the tree resources of the urban landscape.
