Assessing the impacts of climate change on water resources in the Srepok watershed, Central Highland of Vietnam

Abstract

The Srepok watershed in the Central Highland of Vietnam plays an important role in the economic development of the region. Any harmful effects of climate change on natural resources may cause difficulties for social and economic development in this area. The present study aims to predict and evaluate changes of water resources in the Srepok watershed under the impact of climate change scenarios by using the soil and water assessment tool (SWAT) model. The study used observed weather data from 1990 to 2010 for the first period and climate change scenarios A1B and A2 from 2011 to 2039 for the second period and from 2040 to 2069 for the third period. According to the climate change scenarios of the studied watershed, future minimum and maximum daily average temperature will rise in all climate change scenarios and the amount of annual precipitation will fall in scenario A1B and go up in scenario A2. Based on the simulation results, the annual water discharge in scenario A1B decreased by 11.1% and 1.2% during the second and third periods, respectively, compared with the first. In scenario A2, annual water discharge increased by 2.4% during the second period but decreased by 1.8% during the third period.

Impact of climate change on meteorological, hydrological and agricultural droughts in the Lower Mekong River Basin: a case study of the Srepok Basin, Vietnam

“…This can be explained using the land‐use types in 2003 for the calibration and validation periods. Generally, the results obtained from calibration and validation of streamflow in the Srepok River Basin are similar to the previous studies conducted in the Central Highlands of Vietnam (Vu et al , ; Huyen et al , ).…”

“…In this study, the delta change method was applied for this correction procedure. This method was selected, because it has been widely used and quite simple in generating a wide range of climate scenarios in various hydrological studies under climate change impacts (Khoi and Suetsugi ; Leng et al , ; Huyen et al , ; Kamali et al , , etc.). Basically, it corrects the RCM‐simulated climate time series in the baseline and future periods by adding the differences between observed and simulated climate data (Teutschbein and Seibert, ).…”

“…These changes have significantly affected on water availability and droughts in Vietnam. Many studies on climate change impacts conducted in Vietnam have focused on water availability (Phan et al , ; Khoi and Suetsugi, ; Raghavan et al , ; Le and Sharif, ; Huyen et al , ). Another study conducted by Vu et al () considered future projection of hydro‐meteorological droughts for Dakbla River Basin in the Central Highlands of Vietnam.…”

Application of Remote Sensing Techniques and Geographic Information Systems to Analyze Land Surface Temperature in Response to Land Use/Land Cover Change in Greater Cairo Region, Egypt

“…In addition, poor water quality occurs due to a lack of planning with comprehensive arrangements or any consideration regarding their effects on nature. Nevertheless, an increase in land surface temperatures (LST) is one of the key effects of LULC changes [6]- [11]. Increases in LST over the past several decades are considered a major issue in urban regions, due to the conversion of vegetation cover to impervious cover [12], which in turn has a negative impact on people [13], affects many environmental processes and modifies the degree of solar radiation's absorption, evaporation rates, desertification, air pollution, albedo, heat storage, wind turbulence and many aspects of the water balance [14].…”

Uncertainty assessment of streamflow projection under the impact of climate change in the Lower Mekong Basin: a case study of the Srepok River Basin, Vietnam

“…At present, there are many studies on the climate change impacts on water resources conducted in Vietnam (e.g. Raghavan et al, ; Le and Sharif, ; Vo et al, ; Huyen et al, ; Nam et al, ). However, only one study carried out by Khoi and Suetsugi () investigated uncertainties in streamflow projections with a wide range of climate scenarios developed from different GCMs, emission scenarios, global warming in mean air temperature in the Be River Catchment.…”