Predictive Assessment of Climate Change Impact on Water Yield in the Meta River Basin, Colombia: An InVEST Model Application

被引:0
|
作者
Valencia, Jhon B. [1 ,2 ]
Guryanov, Vladimir V. [1 ]
Mesa-Diez, Jeison [3 ]
Diaz, Nilton [4 ]
Escobar-Carbonari, Daniel [4 ,5 ]
Gusarov, Artyom V. [6 ]
机构
[1] Kazan Fed Univ, Inst Environm Sci, Kazan 420008, Russia
[2] African Plant Nutr Inst APNI, Ben Guerir 43150, Morocco
[3] Univ Valle, Escuela Estadist, Calle 13 100-00,Edificio E43, Santiago De Cali 760042, Colombia
[4] Alliance Biovers Int & Int Ctr Trop Agr CIAT, Climate Act, Palmira 763537, Colombia
[5] Stockholm Univ, Dept Phys Geog, SE-10691 Stockholm, Sweden
[6] Kazan Fed Univ, Inst Geol & Petr Technol, Kazan 420008, Russia
关键词
water balance; hydrological model; climate change; CMIP6; scenarios; Orinoco River; SERVICE;
D O I
10.3390/hydrology11020025
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
This paper presents a hydrological assessment of the 113,981 km2 Meta River basin in Colombia using 13 global climate models to predict water yield for 2050 under two CMIP6 scenarios, SSP 4.5 and SSP 8.5. Despite mixed performance across subbasins, the model was notably effective in the upper Meta River subbasin. This study predicts an overall increase in the basin's annual water yield due to increased precipitation, especially in flatter regions. Under the SSP 4.5, the Meta River basin's water flow is expected to rise from 5141.6 m3/s to 6397.5 m3/s, and to 6101.5 m3/s under the SSP 8.5 scenario, marking 24% and 19% increases in water yield, respectively. Conversely, the upper Meta River subbasin may experience a slight decrease in water yield, while the upper Casanare River subbasin is predicted to see significant increases. The South Cravo River subbasin, however, is expected to face a considerable decline in water yield, indicating potential water scarcity. This study represents a pioneering large-scale application of the InVEST-AWY model in Colombia using CMIP6 global climate models with an integrated approach to produce predictions of future water yields.
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收藏
页数:17
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