气候变化领域集成服务门户(CCPortal): Integrating an hourly weather generator with an hourly rainfall SWAT model for climate change impact assessment in the Ru River Basin; China

CCPortal

DOI	10.1016/j.atmosres.2020.105062
	Integrating an hourly weather generator with an hourly rainfall SWAT model for climate change impact assessment in the Ru River Basin; China
	Yang X.; He R.; Ye J.; Tan M.L.; Ji X.; Tan L.; Wang G.
发表日期	2020
ISSN	0169-8095
卷号	244
英文摘要	The Ru River Basin is facing severe water security challenges such as frequent occurrence of extreme events and serious nutrient enrichment of its water bodies. In simulating daily streamflow, monthly total nitrogen (TN) loads, and monthly total phosphorous (TP) loads of the basin, the SWAT (Soil and Water Assessment Tool) model utilizing hourly rainfall inputs was found to perform considerably better than the model utilizing daily rainfall inputs. For climate change impact assessment, the hourly weather generator AWE-GEN was calibrated based on historical hourly rainfall records from 1970 to 1999 in the basin. Evaluation of its performance have indicated that the AWE-GEN could reasonably characterize the main features of monthly, daily, and hourly rainfall in the basin. The outputs of eight GCMs under a total of four climate change scenarios were then downscaled with the AWE-GEN to produce synthetic future hourly rainfall series to drive the hourly rainfall SWAT model for climate change impact assessment. The ensemble of SWAT simulation results have suggested that future streamflow, TN loads and TP loads were all likely to increase in the flood season in the Ru River Basin. Since the Ru River has already been afflicted with nutrient enrichment issues, the projected increase in nutrient loads due to climate change necessitates the enforcement of additional nutrient abatement measures to offset the adverse impacts imposed by climate change. © 2020
英文关键词	Climate change; Hourly rainfall; Hourly weather generator; Nutrient; Streamflow; SWAT
语种	英语
scopus关键词	Climate models; Nutrients; Rain; Rivers; Stream flow; Watersheds; Climate change impact assessments; Climate change scenarios; Nutrient enrichments; Nutrient loads; Rainfall series; Soil and Water assessment tools; Total phosphorous; Weather generator; Climate change; assessment method; climate change; climate effect; extreme event; future prospect; precipitation intensity; soil and water assessment tool; streamflow; weather forecasting; China; Henan; Ru River
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/141852
作者单位	Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing, 210029, China; Anhui Province Institute of Meteorological Research, Hefei, 230001, China; Geography Section, School of Humanities, Universiti Sains Malaysia, Penang, 11800, Malaysia
推荐引用方式 GB/T 7714	Yang X.,He R.,Ye J.,et al. Integrating an hourly weather generator with an hourly rainfall SWAT model for climate change impact assessment in the Ru River Basin; China[J],2020,244.
APA	Yang X..,He R..,Ye J..,Tan M.L..,Ji X..,...&Wang G..(2020).Integrating an hourly weather generator with an hourly rainfall SWAT model for climate change impact assessment in the Ru River Basin; China.Atmospheric Research,244.
MLA	Yang X.,et al."Integrating an hourly weather generator with an hourly rainfall SWAT model for climate change impact assessment in the Ru River Basin; China".Atmospheric Research 244(2020).