학술논문

Relationship between land use and water quality in a tropical urban catchment of the Congo Basin: A case study of N'Djili River catchment
Document Type
article
Source
Water Practice and Technology, Vol 19, Iss 4, Pp 1272-1289 (2024)
Subject
anthropogenic activities
buffer scale
freshwater
n'djili river catchment
water pollution
water quality
Environmental technology. Sanitary engineering
TD1-1066
Language
English
ISSN
1751-231X
Abstract
This study focuses on N'Djili River catchment, a vital water source in Kinshasa that undergoes anthropogenic pressure and land use changes. The lower course of the river is particularly affected by uncontrolled urbanization, informal settlements, improper waste management practices, and vegetation degradation. The aim of this study is to determine the relationship between land use and river water quality in this catchment. Water samples were collected for physico-chemical and bacteriological analysis from 10 sampling sites along the river course. Land use categories were determined using Sentinel-2 land cover imageries and buffer scaling techniques. A redundancy analysis (RDA) was conducted to determine the relationship between land use categories and water quality variables. The laboratory analysis revealed physical, chemical, and biological pollution of the river waters. The RDA results showed that 70% of water quality parameters were explained by the studied land use categories. The urbanized area was the most significant explanatory variable at all buffer scales, negatively impacting water quality parameters. Conversely, trees and range lands had a positive impact on water quality. The study concludes that further research is needed to assess the extent of water pollution and develop integrated management strategies for minimizing pollution in this catchment. HIGHLIGHTS N'Djili River water quality is affected by point and non-point pollution sources.; Esri-Sentinel-2 10 m resolution land cover imageries were used to generate land use categories.; Buffer zone approach and redundancy analysis were used to determine the relationship between land use and water quality.; Land use indicators at multiple scales were related to water quality.;