Uncertainty Assessment for Climate Change Impact on Streamflow and Water Quality in the Dong Nai River Basin, Vietnam

被引：0

作者：

Dao Nguyen Khoi ^{[1
]}

Truong Thao Sam ^{[2
]}

Pham Thi Thao Nhi ^{[2
]}

Nguyen Trong Quan ^{[2
]}

Bui Viet Hung ^{[1
]}

Nguyen Ky Phung ^{[2
]}

Nguyen Van Thinh ^{[3
]}

机构：

[1] Vietnam Natl Univ, Univ Sci, Fac Environm, Ho Chi Minh City, Vietnam

[2] Inst Computat Sci & Technol, Ho Chi Minh City, Vietnam

[3] Seoul Natl Univ, Dept Civil & Environm Engn, Seoul, South Korea

来源：

WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2019: GROUNDWATER, SUSTAINABILITY, HYDRO-CLIMATE/CLIMATE CHANGE, AND ENVIRONMENTAL ENGINEERING | 2019年

关键词：

Climate change; streamflow; water quality; uncertainty assessment; Dong Nai River Basin;

D O I：

暂无

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

The aim of this study is to examine uncertainty in projections of streamflow and water quality (TSS load) under the impact of changing climate in the Dong Nai River Basin, which is one of most vulnerable areas to climate change in Vietnam. Uncertainty associated with different general circulation models (CanESM2, CNRM-CM5, HadGEM2-AO, ISPL-CM5A-LR, and MPI-ESM-MR), emission scenarios (RCP4.5 and RCP8.5), statistical downscaling techniques (delta change method, SDSM, and LARS-WG), and hydrological models (SWAT and HSPF) was considered. The results indicate that the largest uncertainty source is come from GCMs simulations, followed by the emission scenarios, statistical downscaling methods, and hydrological models. Consequently, it should pay more attention to apply different GCMs when implementing studies on the hydrological impact of changing climate.

引用

页码：366 / 373

页数：8

共 5 条

[1] Quantifying the sources of uncertainty in an ensemble of hydrological climate-impact projections [J].