Surface water-groundwater interactions and local land use control water quality impacts of extreme rainfall and flooding in a vulnerable semi-arid region of Sub-Saharan Africa

Geris, Josie; Comte, Jean-Christophe; Franchi, Fulvio; Petros, Alfred K.; Tirivarombo, Sithabile; Selepeng, Ame Thato; Villholth, Karen G.

doi:10.1016/j.jhydrol.2022.127834

Cited by 36 publications

(7 citation statements)

References 81 publications

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“…Climate change is possibly compounding the effects of land cover changes (e.g., land degradation) and intensified water demand, especially for irrigation, in extended drought periods (Daba and You 2022). Climate change is possibly also enhancing the risks of groundwater contamination due to flooding intercepting human waste and poorly-packaged, stored or soilapplied chemicals (Geris et al 2022).…”

Section: Land Cover Change Towards More Irrigated Agriculturementioning

confidence: 99%

Land cover changes in the Upper Great Ruaha (Tanzania) and the Upper Awash (Ethiopia) river basins and their potential implications for groundwater resources

2023

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Section: Land Cover Change Towards More Irrigated Agriculturementioning

confidence: 99%

Land cover changes in the Upper Great Ruaha (Tanzania) and the Upper Awash (Ethiopia) river basins and their potential implications for groundwater resources

2023

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“…These correlations underline the dynamic interplay between climatic factors and water quality, offering valuable insights into the environmental health of cities. Geris et al, 2022 conducted a study in the Gaborone Reservoir catchment area, where they noted the effects of extreme rainfall and floods on water resources and contaminant mobilization (Geris et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Implications of Dynamic Interactions between Meteorological Patterns and Surface Water Quality on Environmental Health&#8212;A Case Study of the Nairobi River

Safari,

Chen,

Kipkirui

et al. 2024

GEP

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Urban areas face significant challenges in maintaining water quality amidst increasing urbanization and changing climatic patterns. This study investigates the complex interplay between meteorological variables and water quality parameters in Nairobi City, focusing on the impacts of rainfall and temperature on surface water quality. Data from multiple sources, including the Water Resources Authority, Nairobi Water and Sewerage Company, and the World Bank's Climate Change Knowledge Portal, were analyzed to assess the relationships between meteorological variables (rainfall and temperature) and water quality parameters (such as electroconductivity, biochemical oxygen demand, chloride, and pH). The analysis reveals varying impacts of rainfall and temperature on different water quality parameters. While parameters like iron and pH show strong relationships with both rainfall and temperature, others such as ammonia and nitrate exhibit moderate relationships. Additionally, the study highlights the influence of runoff, urbanization, and industrial activities on water quality, emphasizing the need for holistic management approaches. Recommendations encompass the establishment of annual publications on Nairobi River water quality, online accessibility of water quality data, development of hydrological models, spatial analysis, and fostering cross-disciplinary research collaborations. Implementing these recommendations can enhance water quality management practices, mitigate risks, and safeguard environmental integrity in Nairobi City.

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“…However, the precipitation in the humid area is abundant, and its water shortage is mainly caused by the uneven annual runoff distribution. Due to the influence of monsoons, the precipitation in the dry season is relatively rare, which causes water shortage problems [6]. When the conventional WRSI model is applied in humid areas, as the annual total water resource is abundant, the WRSI value is relatively small, which easily ignores the water shortage in the dry season.…”

Section: Introductionmentioning

confidence: 99%

The Improved Water Resource Stress Index (WRSI) Model in Humid Regions

Yang,

Yan,

2024

Water

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Water scarcity is commonly evaluated using the water resource stress index (WRSI). However, the conventional WRSI model cannot effectively reflect the water shortage in humid areas, which may lead to distorted evaluation results. To solve this problem, an improved WRSI has been designed. In the improved WRSI, the assessment year is first divided into multiple periods. Then, the temporal WRSI (T-WRSI) is built to evaluate water scarcity in each period. Finally, the comprehensive WRSI (C-WRSI) is constructed based on the entropy weight model (EWM) to synthetically assess the water shortage condition. The water scarcity of Yongzhou City is taken as a sample for evaluation. The results are as follows. (i) The Lingling-Lengshuitan District and Dong’an County suffer from the most serious water shortage. Their C-WRSI values are 0.464 and 0.458, respectively, both of which are “high” grades. (ii) The values of T-WRSI are more than 0.4 from August to October in most areas, indicating that the major key water shortage period is from August to October. (iii) The reasons for water shortage are that the annual runoff distribution in Yongzhou City is uneven with a uniformity coefficient (Cv) of 0.83, and the main irrigation periods are coincidentally accompanied by the retreat of rainfall. (iv) The main measures to solve water scarcity are to strengthen water resource management, to optimize plant structure, and to construct more reservoirs. (v) The C-WRSI values calculated by the improved model in each region are 95–168% larger than those of conventional WRSI. The improved WRSI has better capacities in evaluating the water shortage induced by uneven runoff within the year and identifying the key water scarcity period of humid regions.

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Surface water-groundwater interactions and local land use control water quality impacts of extreme rainfall and flooding in a vulnerable semi-arid region of Sub-Saharan Africa

Cited by 36 publications

References 81 publications

Land cover changes in the Upper Great Ruaha (Tanzania) and the Upper Awash (Ethiopia) river basins and their potential implications for groundwater resources

Land cover changes in the Upper Great Ruaha (Tanzania) and the Upper Awash (Ethiopia) river basins and their potential implications for groundwater resources

Implications of Dynamic Interactions between Meteorological Patterns and Surface Water Quality on Environmental Health&#8212;A Case Study of the Nairobi River

The Improved Water Resource Stress Index (WRSI) Model in Humid Regions

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Surface water-groundwater interactions and local land use control water quality impacts of extreme rainfall and flooding in a vulnerable semi-arid region of Sub-Saharan Africa

Cited by 36 publications

References 81 publications

Land cover changes in the Upper Great Ruaha (Tanzania) and the Upper Awash (Ethiopia) river basins and their potential implications for groundwater resources

Land cover changes in the Upper Great Ruaha (Tanzania) and the Upper Awash (Ethiopia) river basins and their potential implications for groundwater resources

Implications of Dynamic Interactions between Meteorological Patterns and Surface Water Quality on Environmental Health&amp;#8212;A Case Study of the Nairobi River

The Improved Water Resource Stress Index (WRSI) Model in Humid Regions

Contact Info

Product

Resources

About

Implications of Dynamic Interactions between Meteorological Patterns and Surface Water Quality on Environmental Health—A Case Study of the Nairobi River