Friday, 28 May 2021

By: Moriken Camara, Nor Rohaizah Jamil, Ahmad Fikri Bin Abdullah, Farah Izana Abdullah

Water quality is of global concern. Water quality monitoring networks have been developed to provide adequate information on water quality for the sustainable planning and management of river resources. The importance of having accurate and representative stations in a network for river water quality monitoring is always a matter of concern. In developing countries like Malaysia, the lack of financial resources is one of the reasons for inadequate monitoring network density. Selangor River watershed has become a major concern for academic researchers and water management authority in Malaysia because it is the largest water source in the States of Kuala Lumpur and Selangor. Thus a cost-effective and improved methodology for optimising water quality monitoring network of Selangor River watershed in Malaysia was proposed. A geo-statistical technique coupled Kendall's W followed by Cellular Automata and Markov chain model (CA–Markov), Station Potential Pollution Score (SPPS) determined based on Analytic Hierarchy Process (AHP) and evaluation and fuzzy membership functions. Six most efficient sampling stations were identified to build a robust network for the present and future monitoring of water quality status in the Selangor River watershed. Overall, this study provides a useful approach to the pertinent agencies and management authority concerned to establish appropriate methods for developing an efficient water quality monitoring network for tropical rivers.

Web: 10.1016/j.scitotenv.2020.139800

Date of Input: 31/05/2021 | Updated: 31/05/2021 | m_fakhrulddin