Hydrological responses to climate change in Mt. Elgon watersheds

Musau, John; Sang, Joseph; Gathenya, John Mwangi; Luedeling, Eike

doi:10.1016/j.ejrh.2014.12.001

Cited by 45 publications

(32 citation statements)

References 41 publications

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“…In addition, there is only one flow gauge, so we used the data from only one hydrological station for the calibration and validation of the model. That may not accurately reflect the spatial variation in sub-basin streamflow [40]. We recommend the Department of Hydrology and Meteorology Nepal to establish telemetry-based station in the upper zone of the basin that would be highly useful for future study.…”

Section: Discussionmentioning

confidence: 99%

Impact of Climate Change on Water Resources of the Bheri River Basin, Nepal

Mishra

Nakamura

Babel

et al. 2018

Water

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Streamflow alteration is one of the most noticeable effects of climate change. This study explored the effects of climate change on streamflow in the Bheri River using the Soil and Water Assessment Tool (SWAT) model. Three General Circulation Models (GCMs) under two Representative Concentration Pathways (RCPs; 4.5 and 8.5) for the periods of 2020-2044, 2045-2069, and 2070-2099 were used to investigate the impact of climate change. Based on the ensemble of the three models, we observed an increasing trend in maximum and minimum temperatures at the rate of 0.025 • C/year and 0.033 • C/year, respectively, under RCP 4.5, and 0.065 • C/year and 0.071 • C/year under RCP 8.5 in the future. Similarly, annual rainfall will increase by 6.8-15.2% in the three future periods. The consequences of the increment in rainfall and temperature are reflected in the annual streamflow that is projected to increase by 6-12.5% when compared to the historical data of 1975-2005. However, on a monthly scale, runoff will decrease in July and August by up to 20% and increase in the dry period by up to 70%, which is favorable for water users.

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Section: Discussionmentioning

confidence: 99%

Impact of Climate Change on Water Resources of the Bheri River Basin, Nepal

Mishra

Nakamura

Babel

et al. 2018

Water

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“…For instance, Ludwig et al (2009) used three hydrological models namely the distributed hydrological model PROMET, the semi-distributed model Hydrotel and the lumped model HSAMI for investigating changes in a Bavarian catchment response due to climate change forcing. Others (Musau et al, 2015;Zhang et al, 2015) used process-based semi-distributed models such as the Soil and Water Assessment Tool (Neitsh et al, 2005) to assess hydrological impacts of climatic change using different climate models underpinned with different greenhouse gas emissions scenarios. But most of the studies confirmed that the choice of the hydrological model affects the climate change impacts results and thus it must be carefully evaluated (e.g.…”

Section: Introductionmentioning

confidence: 99%

Quantifying hydrological responses of small Mediterranean catchments under climate change projections

Sellami

Benabdallah

Jeunesse

et al. 2016

Science of The Total Environment

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“…The SWAT model has been used previously within the Nzoia Basin [24][25][26] as it is open source and a powerful tool for water resource managers. As precipitation data is often considered the largest influence in hydrologic simulation models [4,5], it was important to understand the impact of variable precipitation inputs to the SWAT model within the Nzoia Basin.…”

Section: Methodsmentioning

confidence: 99%

Increasing the Accuracy of Runoff and Streamflow Simulation in the Nzoia Basin, Western Kenya, through the Incorporation of Satellite-Derived CHIRPS Data

Pricope

2017

Water

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Hydrologic models will be an increasingly important tool for water resource managers as water availability dwindles and water security concerns become more pertinent in data-scarce regions. Fortunately, newly available satellite remote sensing technology provides an opportunity for improving the spatial resolution and quality of input data to hydrologic models in such regions. In particular, the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) dataset provides quasi-global high resolution precipitation information derived from a blend of in situ and active and passive remote sensing data sources. We piloted the incorporation of the CHIRPS dataset into the Soil and Water Assessment Tool (SWAT), a hydrologic model. Comparisons of results between estimation of streamflow using in situ rainfall gauge station data, the Climate Forecast System Reanalysis (CFSR) dataset, and the CHIRPS dataset in the data-scarce Nzoia Basin in western Kenya over the temporal range 1990-2000 were reported. Simulated streamflow estimates were poor with rainfall gauge station data but improved significantly with the CFSR and CHIRPS datasets. However, the use of the CHIRPS dataset in comparison with the CFSR dataset provided an improved statistical performance following model calibration with the exception of one streamflow gauge station in higher elevation regions. Overall, the use of the CHIRPS dataset had the greatest linear correlation, relative variability, and normalized bias despite overall average Nash-Sutcliffe Efficiency (NSE) and R 2 values.

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Hydrological responses to climate change in Mt. Elgon watersheds

Cited by 45 publications

References 41 publications

Impact of Climate Change on Water Resources of the Bheri River Basin, Nepal

Impact of Climate Change on Water Resources of the Bheri River Basin, Nepal

Quantifying hydrological responses of small Mediterranean catchments under climate change projections

Increasing the Accuracy of Runoff and Streamflow Simulation in the Nzoia Basin, Western Kenya, through the Incorporation of Satellite-Derived CHIRPS Data

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