2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022)
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2022年
关键词:
GIS;
Evapotranspiration;
Precipitation;
Climate Change;
Water Planning;
Multilinear Regression;
Texas;
Hydrology;
Google Earth Engine;
D O I:
10.1109/IGARSS46834.2022.9884326
中图分类号:
P [天文学、地球科学];
学科分类号:
07 ;
摘要:
The water planning in Texas is responsible for assessing water supplies, demands, needs, and strategies over a 50-year planning period, which has demonstrated significant benefits for the state. However, the current planning needs more insights from the climate change impacts affecting regional hydrological processes and available water resources in both precipitation and temperature-driven evapotranspiration. This study develops a spatial multi-linear regression model of actual evapotranspiration to estimate decadal water resources projections (2020-2100) over the state using ensemble climate datasets. The results show different yearly and monthly changing trends of water resource variables in regional water planning areas in Texas under three greenhouse gas emissions scenarios (RCPs 4.5, 6.0, 8.5). This work sheds lights on how climate change impacts the water availability as a critical factor to be considered in a long-term water planning.
机构:
Univ Michigan, UM Energy Inst, Ann Arbor, MI 48109 USAUniv Michigan, UM Energy Inst, Ann Arbor, MI 48109 USA
Heo, Joonghyeok
论文数: 引用数:
h-index:
机构:
Yu, Jaehyung
Giardino, John R.
论文数: 0引用数: 0
h-index: 0
机构:
Texas A&M Univ, Dept Geol & Geophys, College Stn, TX 77843 USA
Texas A&M Univ, Water Management & Hydrol Sci Program, College Stn, TX 77843 USAUniv Michigan, UM Energy Inst, Ann Arbor, MI 48109 USA
Giardino, John R.
Cho, Huidae
论文数: 0引用数: 0
h-index: 0
机构:
Dewberry Inc, Atlanta, GA USAUniv Michigan, UM Energy Inst, Ann Arbor, MI 48109 USA