Prediction of water resources change trend in the Three Gorges Reservoir Area under future climate change

被引:8
|
作者
Sang, Jing [1 ,2 ]
Hou, Baodeng [3 ]
Wang, Hejia [3 ]
Ding, Xiaowen [1 ,2 ]
机构
[1] North China Elect Power Univ, Key Lab Reg Energy & Environm Syst Optimizat, Minist Educ, Beijing 102206, Peoples R China
[2] Guangdong Univ Technol, Inst Environm & Ecol Engn, Guangdong Prov Key Lab Water Qual Improvement & Ec, Guangzhou 510006, Peoples R China
[3] China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
关键词
Water resources; Climate change; The Three Gorges Reservoir Area; Coupled model; Prediction; YANGTZE-RIVER; DATA ASSIMILATION; MODEL; PERFORMANCE; PROJECTIONS; IMPACT; REGION; UNCERTAINTY; CALIBRATION; GENERATION;
D O I
10.1016/j.jhydrol.2022.128881
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In this study, the water intake module and the confluence module were added to the Community Land Model version 4.5 (CLM 4.5), forming the Community Land Model-Dualistic Water Cycle (CLM-DWC) model (land surface hydrological model). It solved the problem that the influence of human activities was not considered in the existing hydrological coupling simulation process, which so as to the inaccuracy of the simulation process. The CLM-DWC model was driven by the average results of five Global Climate Models (GCMs) ensemble to form the "atmosphere-land-hydrology" fully coupled model to predict the temporal and spatial variation trends of water resources in the Three Gorges Reservoir Area (TGRA) from 2021 to 2050 under Representative Concen-tration Pathway (RCP) 2.6, RCP4.5 and RCP8.5. In the future scenarios, in terms of spatial distribution, the runoff, surface water and groundwater all indicated the high at the belly of the reservoir and low at the head and tail of the reservoir, which were in good consistency with the baseline period. In terms of intra-annual distri-bution and inter-annual variability, runoff depth increases by 20.8 mm at RCP4.5 compared with the baseline period, and it tended to decrease under RCP2.6 and RCP8.5. At the same time, under the three scenarios, the average increase of surface water was 3.44 %, groundwater decreases by an average of 11.72 %. Accurately predicting the change trend of water resources in the TGRA under climate change has great significance for future water resources management and planning in the reservoir area.
引用
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页数:14
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