From the mountains to the plains: impact of climate change on water resources in the Koshi River Basin

Bharati, Luna; Bhattarai, Utsav; Khadka, Ambika; Gurung, Pabitra; Neumann, Luis; Penton, Dave; Dhaubanjar, Sanita; Nepal, Santosh

doi:10.5337/2019.205

Cited by 19 publications

(15 citation statements)

References 24 publications

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“…Other studies project higher river flows in most of the rivers in Nepal, for example Shrestha et al (2016), Dahal et al (2016), Bajracharya et al (2018), Mishra et al (2018), Pandey et al (2019), and Dahal et al (2020) on the Indrawati, Bagmati, Kaligandaki, Bheri, Chamelia, and Karnali River basins in Nepal. Our results are consistent with other studies finding that water availability in the Koshi River basin will most likely increase (Bharati et al, 2019(Bharati et al, , 2014Devkota & Gyawali, 2015;Nepal, 2016). However, those studies were based on low-resolution climate data.…”

Section: Uncertainty (Variability) In Projected River Flowssupporting

confidence: 93%

“…Observed discharge flow data in the Koshi River basin at Chatara for 1996-2000 were used to calibrate the SWAT model. Initially 22 SWAT parameters were selected (Table 1), based on the literature (Bharati et al, 2019(Bharati et al, , 2014Devkota & Gyawali, 2015). The sensitivity analysis of these parameters was carried out for 1000 simulations; the results are shown in Figure A2 in the supplemental online data.…”

Section: Sensitivity Analysis Calibration and Validation Of The Swatmentioning

confidence: 99%

“…Likewise, Bhatta et al (2019) assessed climate change impacts on water availability in the Tamor River basin (about 4380 km 2 ), also a sub-basin of the Koshi River basin, using 50 km × 50 km spatial resolution data and RCPs 4.5 and 8.5. Bharati et al (2019) investigated water availability in the Koshi River basin (about 87,300 km 2 ) using weather data at a spatial resolution of 25 km × 25 km and RCPs 4.5 and 8.5. Bharati et al (2014) and Bharati et al (2016) projected no significant change in average annual flow in the Koshi River, although seasonal changes in runoff were significant in the 2030s and 2050s.…”

Section: Introductionmentioning

confidence: 99%

“…Nepal (2016) projected an increase in annual discharge in the Dudh Koshi River basin by 2045 and a slight decrease thereafter. Bharati et al (2019) also projected an increase in annual discharge in 2045. They reported that seasonal variation in contribution to annual flow volume would remain unchanged.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Impacts of climate change on the flow of the transboundary Koshi River, with implications for local irrigation

Kaini

Nepal

Pradhananga

et al. 2020

International Journal of Water Resources Development

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This study assesses climate change impacts on the hydrological regime of a river basin and its implications for future irrigation water availability in the Koshi River basin using RCPs 4.5 and 8.5 over short-term (2016-2045), mid-century (2036-2065) and end-of-century (2071-2100) periods. Average flow in the Koshi River is projected to increase. Projections of average minimum monthly river flow suggest that the areas of winter wheat and monsoon paddy rice could be increased. However, the planting period of paddy rice should be delayed by one month (July to August) to capture the expected increased water availability in the river.

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Section: Uncertainty (Variability) In Projected River Flowssupporting

confidence: 93%

Section: Sensitivity Analysis Calibration and Validation Of The Swatmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Impacts of climate change on the flow of the transboundary Koshi River, with implications for local irrigation

Kaini

Nepal

Pradhananga

et al. 2020

International Journal of Water Resources Development

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“…An HRU is a unique combination of land use, topographical and soil characteristics in a sub-watershed. SWAT simulates hydrology, vegetation growth and management practices at the HRU level [26]. SWAT simulates the hydrologic cycle based on the water balance equation as expressed in Equation 1.…”

Section: Hydrological Simulation Methodsmentioning

confidence: 99%

Hydrological Modeling: A Better Alternative to Empirical Methods for Monthly Flow Estimation in Ungauged Basins

Marahatta¹,

Devkota²,

Aryal³

2021

JWARP

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Water resource is required for agricultural, industrial, and domestic activities and for environmental preservation. However, with the increase in population and growth of urbanization, industrialization, and commercial activities, planning and management of water resources have become a challenging task to meet various water demands globally. Information and data on streamflow hydrology are, thus, crucial for this purpose. However, availability of measured flow data in many cases is either inadequate or not available at all. When there is no gauging station available at the site of interest, various empirical methods are generally used to estimate the flow there and the best estimation is chosen. This study is focused on the estimation of monthly average flows by such methods popular in Nepal and assessment of how they compare with the results of hydrological simulation. Performance evaluation of those methods was made with a newly introduced index, Global Performance Index (GPI) utilizing six commonly used goodness-of-fit parameters viz. coefficient of determination, mean absolute error, root mean square error, percentage of volume bias, Nash Sutcliff Efficiency and Kling-Gupta Efficiency. This study showed that hydrological modeling is the best among the considered methods of flow estimation for ungauged catchments.

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Water and Its Management: Dependence, Linkages and Challenges

Bogárdi¹,

Bharati²,

Foster

et al. 2021

Handbook of Water Resources Management: Discourses, Concepts and Examples

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From the mountains to the plains: impact of climate change on water resources in the Koshi River Basin

Cited by 19 publications

References 24 publications

Impacts of climate change on the flow of the transboundary Koshi River, with implications for local irrigation

Impacts of climate change on the flow of the transboundary Koshi River, with implications for local irrigation

Hydrological Modeling: A Better Alternative to Empirical Methods for Monthly Flow Estimation in Ungauged Basins

Water and Its Management: Dependence, Linkages and Challenges

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