Sustainability of membrane separation technology on groundwater reverse osmosis process-Reference-Cited by-同舟云学术

Sustainability of membrane separation technology on groundwater reverse osmosis process

Published:2022-04 Issue: Volume:7 Page:100457
ISSN:2666-7908
Container-title:Cleaner Engineering and Technology
language:en
Short-container-title:Cleaner Engineering and Technology

Author:

Mengesha Alemu,Sahu Omprakash

Publisher

Elsevier BV

Subject

Plant Science,Forestry

Reference136 articles.

1. Groundwater quality assessment for irrigation purposes based on irrigation water quality index and its zoning with GIS in the villages of Chabahar, Sistan and Baluchistan, Iran;Abbasnia;Data Brief,2018

2. Evaluation of groundwater quality using water quality index and its suitability for assessing water for drinking and irrigation purposes: case study of Sistan and Baluchistan province (Iran);Abbasnia;Hum. Ecol. Risk Assess.,2019

3. Application of the Entropy Weighted Water Quality Index (EWQI) and the Pollution Index of Groundwater (PIG) to Assess Groundwater Quality for Drinking Purposes: A Case Study in a Rural Area of Telangana State;Adimalla,2021

4. Assessment of the performance of osmotically driven polymeric membrane processes;Agboola;J. Phys. Conf.,2019

5. Current advances in membrane technologies for saline wastewater treatment: a comprehensive review;Ahmad;Desalination,2021

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