Assessment of potential impacts of climate and land use changes on stream flow: a case study of the Nam Xong watershed in Lao PDR

Sayasane, Rattykone; Kawasaki, Akiyuki; Shrestha, Sangam; Takamatsu, Masatsugu

doi:10.2166/wcc.2015.050

Cited by 18 publications

(17 citation statements)

References 11 publications

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“…There are 12 studies out of the 126 reviewed articles (Table 1) that reported applications of combined climate change and land use change impacts on SEA watersheds. These studies were conducted in Indonesia [87,93], Lao PDR [96], Malaysia [104], Myanmar [112], Thailand [49,117], Vietnam [147,154,155], and also the 3S river basin [63]. Basically, the SWAT-based combined climate change and land use change impact assessment can be divided into two main groups: (1) Consider only the historical climate and land use pattern; and (2) incorporation of future climate and land use projections into the SWAT model.…”

Section: Swat Studies On Climate Change and Land Use Changementioning

confidence: 99%

“…Sayasane et al [96] studied the Nam Xong watershed located in Lao PDR, with consideration of future land use and climate changes. Future land use was produced by using statistical analysis of historical land use trends between 1997 and 2008, while future climate was generated from the PRECIS model [96]. They found that the future streamflow will decrease by 11.7 to 12.2% over the next 20 years, especially in the middle part of the basin.…”

Section: Swat Studies On Climate Change and Land Use Changementioning

confidence: 99%

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A Review of SWAT Studies in Southeast Asia: Applications, Challenges and Future Directions

Tan

Gassman

Srinivasan

et al. 2019

Water

112

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The Soil and Water Assessment Tool (SWAT) model is recognized as one of the top hydrological models applied for addressing hydrologic and environmental issues. This is the first review on the SWAT model studies in Southeast Asia, with an emphasis on its applications, current challenges and future research directions. A total of 126 articles were identified since 2006; roughly 50% of these studies were conducted in Vietnam or Thailand. About 16% of the studies were performed at a transnational scale, which included Cambodia, Lao PDR, Thailand, and Vietnam. Model capability assessment, land use, and climate change assessment are the main SWAT applications that have been reported for the region. Most of the SWAT calibration and validation results for these studies were classified as satisfactory to very good results based on widely recognized performance indicators. However, the parameterization, calibration and validation procedures are not well reported in some articles. Availability of reliable data is one of the main problems that SWAT users are confronted with, as these data are either not freely available or restricted from public access in some countries. Hence, future studies should be considered on identification and development of reliable input data for SWAT modeling. SWAT model modification based on the SEA climate, geographical and land use conditions is another research direction to be considered in the future. Moreover, application of SWAT for extreme events simulation requires more attention in this region.

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Section: Swat Studies On Climate Change and Land Use Changementioning

confidence: 99%

Section: Swat Studies On Climate Change and Land Use Changementioning

confidence: 99%

A Review of SWAT Studies in Southeast Asia: Applications, Challenges and Future Directions

Tan

Gassman

Srinivasan

et al. 2019

Water

112

View full text Add to dashboard Cite

show abstract

“…Liu et al, 2015) and scenarios that reflect hypothetical shifts between various percentages of urban, forest, agricultural and other land use (Zhang et al, 2015(Zhang et al, , 2016Wu et al, 2015). Similar types of combined SWAT climate change/land use change studies have been performed in other regions including Asia (Sayasane et al, 2015;Singkran et al, 2015;Tan et al, 2015), Europe (Serpa et al, 2015;Mehdi et al, 2015b;Guse et al, 2015) and North America (Mehdi et al, 2015a;Neupane and Kumar, 2015;Goldstein and Tarhule, 2015).…”

Section: Introductionmentioning

confidence: 95%

Assessment of impacts of agricultural and climate change scenarios on watershed water quantity and quality, and crop production

Dagnew

Gassman

Schoof

et al. 2016

Hydrol. Earth Syst. Sci.

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Abstract. Modeling impacts of agricultural scenarios and climate change on surface water quantity and quality provides useful information for planning effective water, environmental and land use policies. Despite the significant impacts of agriculture on water quantity and quality, limited literature exists that describes the combined impacts of agricultural land use change and climate change on future bioenergy crop yields and watershed hydrology. In this study, the soil and water assessment tool (SWAT) ecohydrological model was used to model the combined impacts of five agricultural land use change scenarios and three downscaled climate pathways (representative concentration pathways, RCPs) that were created from an ensemble of eight atmosphere-ocean general circulation models (AOGCMs). These scenarios were implemented in a wellcalibrated SWAT model for the intensively farmed and tiled Raccoon River watershed (RRW) located in western Iowa. The scenarios were executed for the historical baseline, early century, mid-century and late century periods. The results indicate that historical and more corn intensive agricultural scenarios with higher CO 2 emissions consistently result in more water in the streams and greater water quality problems, especially late in the 21st century. Planting more switchgrass, on the other hand, results in less water in the streams and water quality improvements relative to the baseline. For all given agricultural landscapes simulated, all flow, sediment and nutrient outputs increase from early-tolate century periods for the RCP4.5 and RCP8.5 climate scenarios. We also find that corn and switchgrass yields are negatively impacted under RCP4.5 and RCP8.5 scenarios in the mid-and late 21st century.

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“…This indicates that both these models exhibit high performance in humid (vs. arid) regions, which concurs with the results of many other studies (a summary of these studies is shown in Table Ⅶ). In some of these studies (Zolghadr et al, 2018;Sayasane et al, 2016), it was put forward that model weakness in arid regions compared to humid regions may be the result of rainfall intensity and distribution in arid regions.…”

Section: Comparing the Models Performance According To Climatementioning

confidence: 99%

Investigating the performance of SWAT and IHACRES in simulation streamflow under different climatic regions in Iran

Esmali

Golshan

Kavian

2020

ATM

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Highlights The most sensitive parameter for all three watersheds was CN2, implying that this parameter was sensitive to different climates. In the arid climate, the SWAT model (R2 = 0.71, NS = 0.64) performed better than the simple IHACRES model (R2 = 0.65, NS = 0.61). Under an arid climate the IHACRES-simulated streamflow was greater than observed values, indicating that the model overestimated streamflow in arid climates. In spring season SWAT-simulated peak flow was lower than observed data.

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Assessment of potential impacts of climate and land use changes on stream flow: a case study of the Nam Xong watershed in Lao PDR

Abstract: water is transferred to the Nam Ngum Reservoir. Here, stream flow will decrease by 11.7-12.2%; the overall figure for the watershed is 0.7-1.9%. Our results indicate that water management in the middle part of the Nam Xong watershed should be carefully considered.

Cited by 18 publications

References 11 publications

A Review of SWAT Studies in Southeast Asia: Applications, Challenges and Future Directions

A Review of SWAT Studies in Southeast Asia: Applications, Challenges and Future Directions

Assessment of impacts of agricultural and climate change scenarios on watershed water quantity and quality, and crop production

Investigating the performance of SWAT and IHACRES in simulation streamflow under different climatic regions in Iran

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