scholarly journals Climate change impacts on hydrology in the Dak B’la watershed, Central Highland Vietnam based on SWAT model

2020 ◽  
pp. 22-31 ◽  
Author(s):  
Nguyen Kim Loi ◽  
Vo Ngoc Quynh Tram ◽  
Nguyen Thi Tinh Au
Keyword(s):  
Climate Change ◽  
Assessment Tool ◽  
High Reliability ◽  
Water Discharge ◽  
Swat Model ◽  
Climate Change Impacts ◽  
Agricultural Watershed ◽  
Coefficient Of Determination ◽  
Central Highland ◽  
Average Water

Climate is the main factor affecting hydrology in a watershed. For purely agricultural watershed, hydrological assessment and management play a very important role in the region's agricultural development. In this study, the hydrological was simulated by the Soil and Water Assessment Tool (SWAT) model. This paper aimed to calibrate and validate the SWAT model in Dak B’la watershed in Central Highland Vietnam and assess the climate change on water discharge. The coefficient of determination (R²) and Nash-Sutcliffe index (NSI), and Percent BIAS (PBIAS) during the calibration process was 0.75, 0.72, and -1.15 respectively and validation process was 0.82, 0.83, 3.67 respectively. It proved the high reliability of the SWAT model after calibration. The two climate scenarios were selected in this investigation: scenario A is the existing climate using the data from 2001 to 2018 and scenario B is the A1B emission scenario for the future period from 2020 to 2069. Compared to the average water discharge from 2001-2018 and average water discharge from 2020 to 2069, the results indicated that climate change increases the average water discharge (0.55%), especially in 2050, the water discharge in the flood season (in November) is 584 m3/s, which higher than the largest flood in 2009 of 450 m3/s.

scholarly journals Climate change impacts on nutrient loads in the Yorkshire Ouse catchment (UK)

2002 ◽  
Vol 6 (2) ◽  
pp. 197-209 ◽  
Author(s):  
F. Bouraoui ◽  
L. Galbiati ◽  
G. Bidoglio
Keyword(s):  
Climate Change ◽  
Assessment Tool ◽  
Swat Model ◽  
Climate Change Impacts ◽  
Climate Change Scenarios ◽  
Baseline Scenario ◽  
Nutrient Loads ◽  
Nitrogen And Phosphorus ◽  
Temperature And Precipitation ◽  
The Impact

Abstract. This study assessed the impact of potential climate change on the nutrient loads to surface and sub-surface waters from agricultural areas and was conducted using the Soil and Water Assessment Tool (SWAT) model. The study focused on a 3500 km2 catchment located in northern England, the Yorkshire Ouse. The SWAT model was calibrated and validated using sets of five years' measurements of nitrate and ortho-phosphorus concentrations and water flow. To increase the reliability of the hydrological model predictions, an uncertainty analysis was conducted by perturbing input parameters using a Monte-Carlo technique. The SWAT model was then run using a baseline scenario corresponding to an actual measured time series of daily temperature and precipitation, and six climate change scenarios. Because of the increase in temperature, all climate scenarios introduced an increase of actual evapotranspiration. Faster crop growth and an increased nutrient uptake resulted, as did an increase of annual losses of total nitrogen and phosphorus, however, with strong seasonal differences. Keywords: SWAT model, climate change, nutrient loads

scholarly journals Using Geospatial Analysis and Hydrologic Modeling to Estimate Climate Change Impacts on Nitrogen Export: Case Study for a Forest and Pasture Dominated Watershed in North Carolina

2018 ◽  
Vol 7 (7) ◽  
pp. 280 ◽  
Author(s):  
Md Alam ◽  
Mehmet Ercan ◽  
Faria Zahura ◽  
Jonathan Goodall
Keyword(s):  
Climate Change ◽  
North Carolina ◽  
General Circulation ◽  
Assessment Tool ◽  
Inorganic Nitrogen ◽  
Swat Model ◽  
Climate Change Impacts ◽  
General Circulation Models ◽  
Nitrogen Loading ◽  
Nitrogen Export

Many watersheds are currently experiencing streamflow and water quality related problems that are caused by excess nitrogen. Given that weather is a major driver of nitrogen transport through watersheds, the objective of this study was to predict climate change impacts on streamflow and nitrogen export. A forest and pasture dominated watershed in North Carolina Piedmont region was used as the study area. A physically-based Soil and Water Assessment Tool (SWAT) model parameterized using geospatial data layers and spatially downscaled temperature and precipitation estimates from eight different General Circulation Models (GCMs) were used for this study. While temperature change predictions are fairly consistent across the GCMs for the study watershed, there is significant variability in precipitation change predictions across the GCMs, and this leads to uncertainty in the future conditions within the watershed. However, when the downscaled GCM projections were taken as a model ensemble, the results suggest that both high and low emission scenarios would result in an average increase in streamflow of 14.1% and 12.5%, respectively, and a decrease in the inorganic nitrogen export by 12.1% and 8.5%, respectively, by the end of the century. The results also show clear seasonal patterns with streamflow and nitrogen loading both increasing in fall and winter months by 97.8% and 50.8%, respectively, and decreasing by 20.2% and 35.5%, respectively, in spring and summer months by the end of the century.

Evaluation of the applicability of the SWAT model in an arid piedmont plain oasis

2015 ◽  
Vol 73 (6) ◽  
pp. 1341-1348 ◽  
Author(s):  
Yong Wu ◽  
Changyou Li ◽  
Chengfu Zhang ◽  
Xiaohong Shi ◽  
Charles P.-A. Bourque ◽  
...  
Keyword(s):  
Assessment Tool ◽  
Hydrological Cycle ◽  
Yellow River ◽  
Water Discharge ◽  
Swat Model ◽  
Coefficient Of Determination ◽  
The Yellow River ◽  
Mountain Range ◽  
Piedmont Plain ◽  
The North

Hetao Oasis is located in a typical piedmont alluvial plain bounded by the Langshan Mountain Range in the north, desert in the west, and the Yellow River in the south. Agricultural activities within the oasis significantly impact the hydrological cycle and water quality in downstream locations. The research uses the Soil and Water Assessment Tool (SWAT) for a piedmont plain by defining the watershed boundary as coinciding with the natural mountain ridge, the border between the oasis and the desert, and the Yellow River. The model simulates water discharge with coefficient of determination and a Nash–Sutcliffe model efficiency of 0.78 and 0.62 during model calibration, and 0.75 and 0.69 during model validation, suggesting that delineation of the watershed as carried out in this research is suitable for piedmont plain topography. From the results, the mountains contribute 28.4% to the water discharge at the outlet of the watershed, and water-use efficiency of irrigated water is about 40%, which is consistent with field-based measurements. Methodologies used in delineating watershed boundaries and parameterizing SWAT provide a solid foundation for water balance studies in other regions of the world with similar topography.

Climate change variability assessment on water resources by SWAT model: A Review

2021 ◽  
pp. 246-268
Author(s):  
Amit Raj ◽  
M.Siva Kumar ◽  
Satish Kumar ◽  
H.P. Singh
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
21St Century ◽  
Assessment Tool ◽  
Swat Model ◽  
Climate Change Impacts ◽  
Renewable Resource ◽  
Base Flow ◽  
Weather Data ◽  
Geographical Regions

Water is a renewable resource for the Sustaining Ecosystem. Rapid industrialization and population impacts the climate. The imbalance of Climate changes over various geographical regions affects the hydrological and morphological behaviour of water resources. The Water balances of the system are analysed via the SWAT Model (Soil and Water Assessment Tool). By simulating and predicting future hydrological behaviour with different scenarios using many climatological models. Using weather data and predicting future hydrological outputs such as Runoff, Temperature, Base flow, groundwater flow, AET etc. in 21st century. Model is calibrated and validated using statistical methods. Results of various modelling Researches in field of SWAT and their major findings are discussed in this review paper. The future Scope of SWAT modelling and its Applications are also recommended. Forty papers are discussed in tabular form with their results and their future improvements were concluded. This paper fulfills a need for precise and quick reviews of recent researches in field of SWAT modelling with climate change on water resources. This will help researchers, academician’s insights into precise climate change impacts on water resources in 21st Century. Necessary steps to be adopted for their successful extreme repercussions of climate change and measures adopted for managing the severe damages to our Ecosystem with sustainable development goals in new millennium are discussed.

scholarly journals Modeling future changes in the North-Estonian hydropower production by using SWAT

2015 ◽  
Vol 47 (4) ◽  
pp. 835-846 ◽  
Author(s):  
Ottar Tamm ◽  
Andres Luhamaa ◽  
Toomas Tamm
Keyword(s):  
Climate Change ◽  
Climate Model ◽  
Assessment Tool ◽  
Swat Model ◽  
Coefficient Of Determination ◽  
Water Volume ◽  
Discharge Data ◽  
Calibration And Validation ◽  
Hydropower Potential ◽  
Hydropower Production

Climate change is altering temperature, precipitation, and other climatic parameters, affecting sectors dependent on water resources, e.g. energy production. The purpose of this study is to analyze the possible influences of climate change on hydropower potential in North Estonia. In Estonian run-of-river hydropower plants, energy comes mainly from water volume. Thus, changes in hydropower production are related to changes in river runoff. The Soil and Water Assessment Tool (SWAT) model is used to study runoff responses to climate change in Kunda, Keila and Valgejõe river basins. A sequential uncertainty fitting algorithm is used for calibration and validation of hydrological models. Two modeling studies from EURO-CORDEX high-resolution simulations are used: RACMO regional climate model (RCM) from the Netherlands (KNMI) and HIRHAM5 RCM from Denmark (DMI). Hydrological model efficiency is evaluated with coefficient of determination (R2), Nash–Sutcliffe efficiency (NSE) and percent bias (PBIAS). The NSE values range from 0.71 to 0.77 during calibration and validation. The PBIAS reveals no significant bias. Daily discharge data of the baseline period (1971–2000) and the future period (2071–2100) for KNMI and DMI scenarios reveal an overall increase in hydropower potential. Larger changes are predicted by the DMI model, while KNMI prediction is lower, 25% and 45% respectively.

scholarly journals Evaluation of the Impacts of Climate Change on Sediment Yield from the Logiya Watershed, Lower Awash Basin, Ethiopia

Hydrology ◽  
2019 ◽  
Vol 6 (3) ◽  
pp. 81
Author(s):  
Nura Boru Jilo ◽  
Bogale Gebremariam ◽  
Arus Edo Harka ◽  
Gezahegn Weldu Woldemariam ◽  
Fiseha Behulu
Keyword(s):  
Climate Change ◽  
Sediment Yield ◽  
Assessment Tool ◽  
Swat Model ◽  
Regional Climate ◽  
Model Performance ◽  
Coefficient Of Determination ◽  
Rcp Scenarios ◽  
Time Frames ◽  
Impacts Of Climate Change

It is anticipated that climate change will impact sediment yield in watersheds. The purpose of this study was to investigate the impacts of climate change on sediment yield from the Logiya watershed in the lower Awash Basin, Ethiopia. Here, we used the coordinated regional climate downscaling experiment (CORDEX)-Africa data outputs of Hadley Global Environment Model 2-Earth System (HadGEM2-ES) under representative concentration pathway (RCP) scenarios (RCP4.5 and RCP8.5). Future scenarios of climate change were analyzed in two-time frames: 2020–2049 (2030s) and 2050–2079 (2060s). Both time frames were analyzed using both RCP scenarios from the baseline period (1971–2000). A Soil and Water Assessment Tool (SWAT) model was constructed to simulate the hydrological and the sedimentological responses to climate change. The model performance was calibrated and validated using the coefficient of determination (R2), Nash–Sutcliffe efficiency (NSE), and percent bias (PBIAS). The results of the calibration and the validation of the sediment yield R2, NSE, and PBIAS were 0.83, 0.79, and −23.4 and 0.85, 0.76, and −25.0, respectively. The results of downscaled precipitation, temperature, and estimated evapotranspiration increased in both emission scenarios. These climate variable increments were expected to result in intensifications in the mean annual sediment yield of 4.42% and 8.08% for RCP4.5 and 7.19% and 10.79% for RCP8.5 by the 2030s and the 2060s, respectively.

scholarly journals Simulation of Rainfall-Induced Floods in Small Catchments (the Polomet’ River, North-West Russia) Using Rain Gauge and Radar Data

Hydrology ◽  
2020 ◽  
Vol 7 (4) ◽  
pp. 92 ◽  
Author(s):  
Elena Grek ◽  
Sergey Zhuravlev
Keyword(s):  
Assessment Tool ◽  
Water Discharge ◽  
Swat Model ◽  
Radar Data ◽  
Rain Gauge ◽  
Coefficient Of Determination ◽  
Efficiency Coefficient ◽  
Small Catchment ◽  
North West ◽  
Rain Floods

In recent years, rain floods caused by abnormal rainfall precipitation have caused several damages in various part of Russia. Precise forecasting of rainfall runoff is essential for both operational practice to optimize the operation of the infrastructure in urbanized territories and for better practices on flood prevention, protection, and mitigation. The network of rain gauges in some Russian regions are very scarce. Thus, an adequate assessment and modeling of precipitation patterns and its spatial distribution is always impossible. In this case, radar data could be efficiently used for modeling of rain floods, which were shown by previous research. This study is aimed to simulate the rain floods in the small catchment in north-west Russia using radar- and ground-based measurements. The investigation area is located the Polomet’ river basin, which is the key object for runoff and water discharge monitoring in Valdai Hills, Russia. Two datasets (rain gauge and weather radar) for precipitation were used in this work. The modeling was performed in open-source Soil and Water Assessment Tool (SWAT) hydrological model with three types of input data: rain gauge, radar, and gauge-adjusted radar data. The simulation efficiency is assessed using the coefficient of determination R2, Nash–Sutcliffe model efficiency coefficient (NSE), by comparing the mean values to standard deviations for the calculated and measured values of water discharge. The SWAT model captures well the different phases of the water regime and demonstrates a good quality of reproduction of the hydrographs of the river runoff of the Polomet’ river. In general, the best model performance was observed for rain gauge data (NSE is up to 0.70 in the Polomet’river-Lychkovo station); however, good results have been also obtained when using adjusted data. The discrepancies between observed and simulated water flows in the model might be explained by the scarce network of meteorological stations in the area of studied basin, which does not allow for a more accurate correction of the radar data.

scholarly journals Effects of Climate Change on Streamflow in Kon – Ha Thanh River Watershed, Vietnam

10.29007/1hrc ◽  
2018 ◽  
Author(s):  
Ngoc Duong Vo ◽  
Thanh Hao Nguyen ◽  
Huy Cong Vu ◽  
Philippe Gourbesville ◽  
Quang Binh Nguyen
Keyword(s):  
Climate Change ◽  
Assessment Tool ◽  
Swat Model ◽  
Correlation Coefficients ◽  
Climate Change Impacts ◽  
Well Being ◽  
Complex Problem ◽  
Protection Measures ◽  
Impact Of Climate Change ◽  
The Impact

Climate change is a complex problem and becoming the leading challenge for humankind in the 21st century. It will affect almost aspects of human well-being. Therefore, assessing climate change impacts on water resources and proposed solutions to respond to climate change is urgent and necessary. This study applied the SWAT model (Soil and Water Assessment Tool) and GIS (Geographic Information System) technique to simulate water flows due to the impact of climate change. The models were applied for Kon – Ha Thanh river catchment, located in Vietnam where is considered as one of the countries most affected by climate change. The SWAT model is calibrated and validated well using daily flow data with the Nash-Sutcliffe and correlation coefficients are 0.77 and 0.88, respectively. Two scenarios from Vietnamese government (RCP 4.5 and RCP 8.5) are used to analyze the variation of stream flow in three periods: 2016- 2035, 2045-2065, and 2080-2100. The results show that the flow in Kon – Ha Thanh rivers will vary complicatedly and severely under the impact of climate change. This flow may increase roughly 150.8% in flood season and reduce around 11.8% in dry season. Furthermore, the study also demonstrates that there are the changes in the flood dynamics as well as the hydrological shift of this region. This study presents an operational approach to integrate the results from the impacts of climate change to flood protection measures that would be useful in sustainable planning and devising resilience strategies.

scholarly journals ASSESSING THE IMPACTS OF CLIMATE CHANGE ON THE HYDROLOGY OF THE INDRAWATI RIVER BASIN, NEPAL

2019 ◽  
Vol IV-5/W2 ◽  
pp. 1-8
Author(s):  
B. Bade ◽  
D. R. Gyawali ◽  
S. Timilsina
Keyword(s):  
Climate Change ◽  
Assessment Tool ◽  
Swat Model ◽  
Hydrological Regime ◽  
Coefficient Of Determination ◽  
Future Climate Change ◽  
Change Scenario ◽  
Future Climate Change Scenario ◽  
Climate Change Assessment ◽  
Water Assessment

Abstract. This study details climate change assessment of the hydrological regime of Indrawati basin of Nepal. The study uses Soil and Water Assessment Tool (SWAT) model to delineate, discretize and parameterize the Indrawati basin to compute model’s input parameters. The model was then run for 1990–2014 to simulate the discharge at the outlet (Dholalghat). The coefficient of determination R2 and Nash-Sutcliffe (ENS) were used to evaluate model calibration and validation. The results found were satisfactory for the gauging station R2 = 0.951 and ENS = 0.901 for calibration and R2 = 0.937 and. ENS = 0.906 for validation. The calibrated hydrological model was run for the future climate change scenario using the RegCM4-LMDZ4 data and the relative changes with the baseline scenarios were analyzed. The comparison suggests that the historical trend of flow is decreasing at the rate of 0.55 m3/s per year. According to RegCM4-LMDZ4 simulations, the trend is going to continue but at a flatter rate. The decreasing trend is observed to be very less. The characteristic peak flow month in the historical scenario is August but the RegCM4-LMDZ4 led simulated flows suggest a shift in monthly peak to October suggesting decrease in monsoon flows and a subsequent significant increase in flows from October to January.

scholarly journals Evaluation of the Impact of Climate Change on Streamflow Using SWAT Model

2020 ◽  
Vol 13 ◽  
pp. 1-8
Author(s):  
Kingsley Nnaemeka Ogbu ◽  
Emeka L Ndulue ◽  
Isiguzo Edwin Ahaneku ◽  
Ikenna Joseph Ubah
Keyword(s):  
Climate Change ◽  
Stream Flow ◽  
Climate Models ◽  
Assessment Tool ◽  
Global Climate ◽  
Swat Model ◽  
Global Climate Models ◽  
Coefficient Of Determination ◽  
Water Resource System ◽  
The Impact

The Soil and Water Assessment Tool (SWAT) model was applied in this study to simulate stream-flow in the Oyun River Basin. The model was calibrated and validated using monthly stream-flow data for the basin. Model performance was satisfactory for calibration and validation with a coefficient of determination (R2) of 0.69 and 0.88, respectively. Climate change impact on Oyun River was assessed by driving the SWAT model with climate parameters obtained from two global climate models (HadGEM2-ES and BCC-CCSM1-1M) based on RCP 2.6 for 2050 – 2059 and 2080 – 2089 periods. With respect to a baseline period of 2000 – 2009, HadGEM2-ES predicted a 4.62% decrease in total stream-flow while the BCC-CSM1-1M predicted stream-flow increase by 6.18% for the 2050 – 2059 period. However, both HadGEM2-ES and BCC-CCSM1-1M predicted stream-flow to increase by 18.92% and 11.25% respectively for the 2080 period. The HadGEM2-ES model showed consistency in relating future rainfall predictions with future discharge trends for the periods under study. Model results show the need for adaptive measures to mitigate climate change impacts on the water resource system.

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