Future Land Use and Flood Risk Assessment in the Guanzhong Plain, China: Scenario Analysis and the Impact of Climate Change

被引:11
作者
Luo, Pingping [1 ,2 ,3 ]
Wang, Xiaohui [1 ,2 ,3 ]
Zhang, Lei [1 ,2 ,3 ,4 ]
Mohd Arif Zainol, Mohd Remy Rozainy [5 ]
Duan, Weili [6 ]
Hu, Maochuan [7 ]
Guo, Bin [8 ]
Zhang, Yuzhu [9 ]
Wang, Yihe [10 ]
Nover, Daniel [11 ]
机构
[1] Changan Univ, Minist Educ, Key Lab Subsurface Hydrol & Ecol Effects Arid Reg, Xian 710054, Peoples R China
[2] Changan Univ, Xian Monitoring Modelling & Early Warning Watershe, Xian 710054, Peoples R China
[3] Changan Univ, Sch Water & Environm, Xian 710054, Peoples R China
[4] Xian Xinsemi Mat Technol Co Ltd, Xian 710054, Peoples R China
[5] Univ Sains Malaysia, River Engn & Urban Drainage Res Ctr REDAC, Nibong Tebal 14300, Penang, Malaysia
[6] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Key Lab Ecol Safety & Sustainable Dev Arid Lands, Urumqi 830011, Peoples R China
[7] Sun Yat Sen Univ, Sch Civil Engn, Guangzhou 510275, Peoples R China
[8] Xian Univ Sci & Technol, Coll Geomat, Xian 710054, Peoples R China
[9] Northwest Univ, Coll Urban & Environm Sci, Shaanxi Key Lab Earth Surface Syst & Environm Carr, Xian 710127, Peoples R China
[10] Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hong Kong, Peoples R China
[11] Univ Calif Merced, Sch Engn, 5200 Lake R, Merced, CA 95343 USA
关键词
CMIP6; BCSD; PLUS; MOP; flood risk assessment; multi-scenario simulation; climate change; ECOSYSTEM SERVICES; SIMULATION;
D O I
10.3390/rs15245778
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Continuously global warming and landscape change have aggravated the damage of flood disasters to ecological safety and sustainable development. If the risk of flood disasters under climate and land-use changes can be predicted and evaluated, it will be conducive to flood control, disaster reduction, and global sustainable development. This study uses bias correction and spatial downscaling (BCSD), patch-generating land-use simulation (PLUS) coupled with multi-objective optimization (MOP), and entropy weighting to construct a 1 km resolution flood risk assessment framework for the Guanzhong Plain under multiple future scenarios. The results of this study show that BCSD can process the 6th Climate Model Intercomparison Project (CMIP6) data well, with a correlation coefficient of up to 0.98, and that the Kappa coefficient is 0.85. Under the SSP126 scenario, the change in land use from cultivated land to forest land, urban land, and water bodies remained unchanged. In 2030, the proportion of high-risk and medium-risk flood disasters in Guanzhong Plain will be 41.5% and 43.5% respectively. From 2030 to 2040, the largest changes in risk areas were in medium- and high-risk areas. The medium-risk area decreased by 1256.448 km2 (6.4%), and the high-risk area increased by 1197.552 km2 (6.1%). The increase mainly came from the transition from the medium-risk area to the high-risk area. The most significant change in the risk area from 2040 to 2050 is the higher-risk area, which increased by 337 km2 (5.7%), while the medium- and high-risk areas decreased by 726.384 km2 (3.7%) and 667.488 km2 (3.4%), respectively. Under the SSP245 scenario, land use changes from other land use to urban land use; the spatial distribution of the overall flood risk and the overall flood risk of the SSP126 and SSP245 scenarios are similar. The central and western regions of the Guanzhong Plain are prone to future floods, and the high-wind areas are mainly distributed along the Weihe River. In general, the flood risk in the Guanzhong Plain increases, and the research results have guiding significance for flood control in Guanzhong and global plain areas.
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页数:24
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