Evaluation and application of a SWAT model to assess the climate change impact on the hydrology of the Himalayan River Basin

Bhatta, Binod; Shrestha, Sangam; Shrestha, Pallav Kumar; Talchabhadel, Rocky

doi:10.1016/j.catena.2019.104082

Cited by 227 publications

(123 citation statements)

References 53 publications

Supporting

Mentioning

112

Contrasting

Unclassified

Order By: Relevance

“…Nepal (2016) projected the water availability of the Dudh Koshi River basin (about 3710 km 2 ), a sub-basin of the Koshi River basin, considering the IPCC-SRES A1B scenario, using dynamically downscaled precipitation and temperature data with a spatial resolution of 50 km × 50 km. 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.…”

Section: Introductionmentioning

confidence: 99%

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

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

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

View full text Add to dashboard Cite

show abstract

“…Some of the consequences of climate change, such as an increase in extreme floods and droughts, maybe unavoidable [3]. Therefore, quantifying the climate change impact on water availability is essential to watershed management as well as to the formulation of adaptation strategies to mitigate its negative impacts [4].…”

Section: Introductionmentioning

confidence: 99%

Impact of Climate Change on Water Balance Components and Droughts in the Guajoyo River Basin (El Salvador)

Blanco-Gómez

Jimeno‐Sáez

Senent‐Aparicio

et al. 2019

Water

View full text Add to dashboard Cite

This study assessed how changes in terms of temperature and precipitation might translate into changes in water availability and droughts in an area in a developing country with environmental interest. The hydrological model Soil and Water Assessment Tool (SWAT) was applied to analyze the impacts of climate change on water resources of the Guajoyo River Basin in El Salvador. El Salvador is in one of the most vulnerable regions in Latin America to the effects of climate change. The predicted future climate change by two climate change scenarios (RCP 4.5 and RCP 8.5) and five general circulation models (GCMs) were considered. A statistical analysis was performed to identify which GCM was better in terms of goodness of fit to variation in means and standard deviations of the historical series. A significant decreasing trend in precipitation and a significant increase in annual average temperatures were projected by the middle and the end of the twenty–first century. The results indicated a decreasing trend of the amount of water available and more severe droughts for future climate scenarios with respect to the base period (1975–2004). These findings will provide local water management authorities useful information in the face of climate change to help decision making.

show abstract

“…The rainy season output intensity of nitrogen and phosphorus pollutants was much higher than that in the dry season, mainly due to the severe mineralization process of litter in the rainy season. Therefore, in the rainy season, the polymorphism of nitrogen and phosphorus in the litter is more easily washed into the river by rainfall [43,44], and the rainy season also has more abundant precipitation than the dry season, resulting in more surface runoff [45]. Gu, et al [46] and Wilson [47] also proved that the phosphorus dynamics in soil was strongly influenced by climatic factors.…”

Section: The Response Of Forest Characteristics To Tn and Tpmentioning

confidence: 99%

The Influence of Different Forest Characteristics on Non-point Source Pollution: A Case Study at Chaohu Basin, China

Cheng

Lin

Wang

et al. 2020

IJERPH

View full text Add to dashboard Cite

Forestland is a key land use/land cover (LULC) type that affects nonpoint source (NPS) pollution, and has great impacts on the spatiotemporal features of watershed NPS pollution. In this study, the forestland characteristics of the Chaohu Basin, China, were quantitatively represented using forestland types (FLTs), watershed forest coverage (WFC) and forest distance from the river (DFR). To clarify the impact of forests on NPS pollution, the relationship between forestland characteristics and watershed nutrient outputs (TN and TP) was explored on a monthly scale using SWAT (Soil and Water Assessment Tool) and the period simulation was 2008–2016. The results showed that: (1) the TN and TP showed similar output characteristics and the rainy season was the peak period of nitrogen and phosphorus output. (2) Among the forestland characteristics of forestland types, watershed forest coverage and forest distance from the river, watershed forest coverage and forest distance from the river had greater effects than forestland types on the control of watershed nutrient outputs (TN and TP). (3) In different forestland types, the watershed nutrient outputs intensity remained at the lowest level when the FLTs was mixed forest, with a TN output of 1244.73kg/km2 and TP output of 341.39 kg/km2. (4) The watershed nutrient outputs and watershed forest coverage were negatively correlated, with the highest watershed forest coverage (over 75%) reducing the TN outputs by 56.69% and the TP outputs by 53.46% compared to the lowest watershed forest coverage (below 25%), it showed that in areas with high forest land coverage, the non-point source pollution load in the watershed is smaller than in other areas. (5) forest distance from the river had an uncertain effect on the TN and TP output of the basin, the forestland itself is a source of pollution, but it also has the function of intercepting pollution movement; the forest distance from the river in the range of 500–1000 m had the lowest NPS pollution. Considering the different forest characteristics and topographical factors, an optimal allocation mode of differentiated forest land was proposed, these suggestions will provide a scheme for surface source pollution prevention and control in the basin. This research gap is the basis of real forestland optimization. We may optimize the forestland layout for NPS pollution prevention and control by clarifying the internal mechanism.

show abstract

Evaluation and application of a SWAT model to assess the climate change impact on the hydrology of the Himalayan River Basin

Cited by 227 publications

References 53 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

Impact of Climate Change on Water Balance Components and Droughts in the Guajoyo River Basin (El Salvador)

The Influence of Different Forest Characteristics on Non-point Source Pollution: A Case Study at Chaohu Basin, China

Contact Info

Product

Resources

About