Investigating Hydrological Drought Characteristics in Northeastern Thailand in CMIP5 Climate Change Scenarios

被引:1
作者
Chatklang, Sornsawan [1 ]
Tongdeenok, Piyapong [1 ]
Kaewjampa, Naruemol [1 ]
机构
[1] Kasetsart Univ, Fac Forestry, Dept Conservat, Watershed Management & Environm Program, Bangkok 10900, Thailand
关键词
climate change; CMIP5; hydrological drought characteristics; Streamflow Drought Index (SDI); CALIBRATION; PREDICTION; MODELS;
D O I
10.3390/atmos15091136
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this study, we analyzed the predictions of hydrological droughts in the Lam Chiang Kri Watershed (LCKW) by using the Soil and Water Assessment Tool (SWAT) and streamflow data for 2010-2021. The objective was to assess the streamflow drought index (SDI) for 5-, 10-, 25-, and 50-year return periods (RPs) in 2029 and 2039 in two representative concentration pathway (RCP) scenarios: the moderate climate change scenario (RCP 4.5) and the high-emission scenario (RCP 8.5). The SWAT model showed high accuracy (R2 = 0.82, NSE = 0.78). In RCP4.5, streamflow is projected to increase by 34.74% for 2029 and 18.74% for 2039, while in RCP8.5, a 37.06% decrease is expected for 2029 and 55.84% for 2039. A historical analysis indicated that there were frequent short-term droughts according to SDI-3 (3-month-period index), particularly from 2014 to 2015 and 2020 to 2021, and severe droughts according to SDI-6 (6-month-period index) in 2015 and 2020. The RCP8.5 projections indicate worsening drought conditions, with critical periods from April to June. A wavelet analysis showed that there is a significant risk of severe hydrological drought in the LCKW. Drought characteristic analysis indicated that high-intensity events occur with low frequency in the 50-year RP. Conversely, high-frequency droughts with lower intensity are observed in RPs of less than 50 years. The results of this study highlight an increase in severe drought risk in high emission scenarios, emphasizing the need for water management.
引用
收藏
页数:22
相关论文
共 82 条
[1]   Assessment of climate change impacts on streamflow through hydrological model using SWAT model: a case study of Afghanistan [J].
Aawar, Taha ;
Khare, Deepak .
MODELING EARTH SYSTEMS AND ENVIRONMENT, 2020, 6 (03) :1427-1437
[2]   Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT [J].
Abbaspour, Karim C. ;
Yang, Jing ;
Maximov, Ivan ;
Siber, Rosi ;
Bogner, Konrad ;
Mieleitner, Johanna ;
Zobrist, Juerg ;
Srinivasan, Raghavan .
JOURNAL OF HYDROLOGY, 2007, 333 (2-4) :413-430
[3]   Desiccation of the Transboundary Hamun Lakes between Iran and Afghanistan in Response to Hydro-climatic Droughts and Anthropogenic Activities [J].
Akbari, Mahdi ;
Mirchi, Ali ;
Roozbahani, Amin ;
Gafurov, Abror ;
Klove, Bjorn ;
Haghighi, Ali Torabi .
JOURNAL OF GREAT LAKES RESEARCH, 2022, 48 (04) :876-889
[4]  
Allen SK, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P3
[5]   Triple diagram models for prediction of suspended solid concentration in Lake Okeechobee, Florida [J].
Altunkaynak, Abduesselam ;
Wang, Keh-Han .
JOURNAL OF HYDROLOGY, 2010, 387 (3-4) :165-175
[6]  
[Anonymous], Earth Science Data Systems. 2020. What is Synthetic Aperture Radar?
[7]  
Arnold JG, 2012, T ASABE, V55, P1491
[8]   Impact of hydrological drought occurrence, duration, and severity on Murray-Darling basin water quality [J].
Athukoralalage, Dilanka ;
Brookes, Justin ;
McDowell, Rich W. ;
Mosley, Luke M. .
WATER RESEARCH, 2024, 252
[9]  
Bates B., 2008, Tech. Pap. Intergov. Panel Clim. Chang, DOI [10.21203/rs.3.rs-82517/v1, DOI 10.21203/RS.3.RS-82517/V1]
[10]  
Begna T., 2021, Int. J. Res. Agron, V4, P66, DOI [10.33545/2618060X.2021.v4.i2a.103, DOI 10.33545/2618060X.2021.V4.I2A.103]