Environmental Engineering
Machine learning using random forest to model heavy metals removal efficiency using a zeolite-embedded sheet in water

N.D. Takarina; N. Matsue; E. Johan; A. Adiwibowo; M.F.N.K. Rahmawati; S.A. Pramudyawardhani; T. Wukirsari

Volume 10, Issue 1 , January 2024, , Pages 321-336

https://doi.org/10.22034/gjesm.2024.01.20

Abstract
  BACKGROUND AND OBJECTIVES: Zeolite has been recognized as a potential adsorbent for heavy metals in water. The form of zeolite that is generally available in powder has challenged the use of zeolite in the environment. Embedding powder zeolite in a nonwoven sheet, known as a zeolite-embedded sheet can ...  Read More

Environmental Science
Growth of olive saplings in different media containing artificial and natural super absorbents at two irrigation intervals

A. Mohammadi Torkashvand; H. Shahin; M. Mohammadi

Volume 3, Issue 3 , September 2017, , Pages 311-322

https://doi.org/10.22034/gjesm.2017.03.03.008

Abstract
  A factorial experiment was conducted to evaluate the impact of super absorbents and organic wastes of rice, olive marc, vermicompost and farmyard manure on the soil water holding capacity and the growth of plant based on randomized complete block design with 13 treatments at two irrigation intervals ...  Read More