Hydrological Modelling and Water Resources Assessment of Chongwe River Catchment using WEAP Model

The Chongwe River Catchment (CRC) is located in Zambia. It receives a mean annual precipitation of 889 mm. The catchment is facing growing anthropogenic and socio-economic activities leading to severe water shortages in recent years, particularly from July to October. The objective of this study was to assess the available water resources by investigating the important hydrological components and estimating the catchment water balance using the Water Evaluation and Planning (WEAP) model. The average precipitation over a 52 year period and a 34 year period of streamflow measurement data for four stations were used in the hydrological balance model. The results revealed that the catchment received an estimated mean annual precipitation of 4603.12 Mm3. It also released an estimated mean annual runoff and evapotranspiration of 321.94 Mm3 and 4063.69 Mm3, respectively. The estimated mean annual total abstractions in the catchment was 119.87 Mm3. The average annual change in the catchment storage was 120.18 Mm3. The study also determined an external inflow of 22.55 Mm3 from the Kafue River catchment. The simulated mean monthly streamflow at the outlet of the CRC was 10.32 m3/s. The estimated minimum and maximum streamflow volume of the Chongwe River was about 1.01 Mm3 in September and 79.7 Mm3 in February, respectively. The performance of the WEAP model simulation was assessed statistically using the coefficient of determination (R2 = 0.97) and the Nash–Sutcliffe model efficiency coefficient (NSE = 0.64). The R2 and NSE values indicated a satisfactory model fit and result. Meeting the water demand of the growing population and associated socio-economic development activities in the CRC is possible but requires appropriate water resource management options.

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Water Resources Assessment of China's Transboundary River Basins Using a Machine Learning Approach

Water Resources Research ◽

10.1029/2018wr023044 ◽

2019 ◽

Vol 55 (1) ◽

pp. 632-655 ◽

Cited By ~ 7

Author(s):

Jiabao Yan ◽

Shaofeng Jia ◽

Aifeng Lv ◽

Wenbin Zhu

Keyword(s):

Machine Learning ◽

Water Resources ◽

River Basins ◽

Learning Approach ◽

Transboundary River ◽

Transboundary River Basins ◽

Machine Learning Approach ◽

Water Resources Assessment ◽

Resources Assessment

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Review on Regional Water Resources Assessment Models under Stationary and Changing Climate

Water Resources Management ◽

10.1007/s11269-004-9130-0 ◽

2004 ◽

Vol 18 (6) ◽

pp. 591-612 ◽

Cited By ~ 164

Author(s):

C.-Y. Xu ◽

V. P. Singh

Keyword(s):

Water Resources ◽

Changing Climate ◽

Water Resources Assessment ◽

Regional Water ◽

Resources Assessment

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Study on the Hydraulic Relationship between Molin River and Groundwater

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.490-495.652 ◽

2012 ◽

Vol 490-495 ◽

pp. 652-656

Author(s):

Yu Yu Wan ◽

Fu Tian Liu ◽

Guang Yu Lin

Keyword(s):

Water Resources ◽

River Water ◽

River Flow ◽

Water Cycle ◽

Isotopic Methods ◽

Water Resources Assessment ◽

Agriculture And Environment ◽

Hydrodynamic Field ◽

Semi Arid Region ◽

Resources Assessment

Molin River catchment is located in arid and semi-arid region in China. River water and groundwater are major water sources in this area. It is a key work to identify the interaction between river water and groundwater for not only water resources assessment and sustainable development, but residents living, industry and agriculture and environment protection. In this study, the interaction of Molin River water and groundwater has been analyzed systematically with hydrogeochemical and isotopic methods based on analyzing the characteristics of groundwater hydrodynamic field. The results show that Molin river water originates from groundwater in river source and is recharged by precipitation and groundwater with different recharge intensity along river flow. From the conclusions, it is obviously that these two parts of water cycle can not be departed, and their interactions need to be considered comprehensively in water resources assessment and development in order to avoid irreversible surface ecological environment damage in Molin River basin

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