Hydrological response to climate and land use and land cover change in the Teesta River basin

被引:0
|
作者
Rahman, Syadur [1 ]
Islam, A. K. M. Saiful [1 ]
机构
[1] Bangladesh Univ Engn & Technol BUET, Inst Water & Flood Management IWFM, Dhaka 1000, Bangladesh
来源
HYDROLOGY RESEARCH | 2024年 / 55卷 / 11期
关键词
cellular automata-Markov model; climate change; land use and land cover; Soil and Water Assessment Tool; Teesta River basin;
D O I
10.2166/nh.2024.055
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
The Teesta basin is shared by Bangladesh and India, holds significant importance in the bilateral relationship, and sustains the livelihoods of over 30 million people in Bangladesh. Employing a cellular automata (CA) model, we accurately estimate land use and land cover (LULC) for the 2020s and project it for the 2050s and 2080s. A semi-distributed hydrological model, Soil and Water Assessment Tool (SWAT), is used to generate flow for the base period (1995-2014), the near future (2035-2064), and the far future (2071-2100). The SWAT model is forced by eight general circulation models (GCMs) under two socioeconomic pathways (SSP245 and SSP585). The CA-Markov prediction indicates LULC changes, especially an increase in agriculture and settlements by 76 and 42%, respectively, and a decrease in forest and water by 13 and 36%, which are expected by the 2050s and will influence discharge patterns. This results in additional discharge increases of 4% (-8 to 5%) for SSP245 and 5% (-8 to 10%) for SSP585 scenarios during wet seasons. In the far future, monsoon flow will increase by 13% (0.4 to 23%) for SSP245 and 52% (-29 to 151%) under SSP585 scenarios. A marginal change in winter flow was shown by a -6% (-16 to 4%) reduction under SSP245 and a -13% (-64 to 63%) reduction under SSP585 in the 2080s.
引用
收藏
页码:1123 / 1142
页数:20
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