Comparative Study of Two State-of-the-Art Semi-Distributed Hydrological Models

doi:10.3390/w11050871

	Comparative Study of Two State-of-the-Art Semi-Distributed Hydrological Models
	Paul, Pranesh Kumar 1; Zhang, Yongqiang 2; Mishra, Ashok 3; Panigrahy, Niranjan 4; Singh, Rajendra 3
刊名	WATER
	2019-05-01
卷号	11 期号:5 页码:20
关键词	grid-based HRU-based SHM SWAT large scale basin
ISSN号	2073-4441
DOI	10.3390/w11050871
通讯作者	Zhang, Yongqiang(zhangyq@igsnrr.ac.cn)
英文摘要	Performance of a newly developed semi-distributed (grid-based) hydrological model (satellite-based hydrological model (SHM)) has been compared with another semi-distributed soil and water assessment tool (SWAT)a widely used hydrological response unit (HRU)-based hydrological model at a large scale (12,900 km(2)) river basin for monthly streamflow simulation. The grid-based model has a grid cell size of 25 km(2,) and the HRU-based model was set with an average HRU area of 25.2 km(2) to keep a balance between the discretization of the two models. Both the model setups are calibrated against the observed streamflow over the period 1977 to 1990 (with 1976 as the warm-up period) and validated over the period 1991 to 2004 by comparing simulated and observed hydrographs as well as using coefficient of determination (R-2), Nash-Sutcliffe efficiency (NSE), and percent bias (PBIAS) as statistical indices. Result of SHM simulation (NSE: 0.92 for calibration period; NSE: 0.92 for validation period) appears to be superior in comparison to SWAT simulation (NSE: 0.72 for calibration period; NSE: 0.50 for validation period) for both calibration and validation periods. The models' performances are also analyzed for annual peak flow, monthly flow variability, and for different flow percentiles. SHM has performed better in simulating annual peak flows and has reproduced the annual variability of observed streamflow for every month of the year. In addition, SHM estimates normal, moderately high, and high flows better than SWAT. Furthermore, total uncertainties of models' simulation have been analyzed using quantile regression technique and eventually quantified with scatter plots between P (measured data bracketed by the 95 percent predictive uncertainty (PPU) band) and R (the relative length of the 95PPU band with respect to the model simulated values)-values, for calibration and validation periods, for both the model simulations. The analysis confirms the superiority of SHM over its counterpart. Differences in data interpolation techniques and physical processes of the models are identified as the probable reasons behind the differences among the models' outputs.
资助项目	Space Application Centre (SAC), Ahmedabad[IIT/SRIC/AGFE/DWI/2013-14/124] ; CAS Pioneer Hundred Talents Program
WOS关键词	CLIMATE-CHANGE ; SEDIMENT YIELD ; QUANTILE REGRESSION ; RESPONSE UNITS ; ANALYSIS TOOL ; RIVER-BASIN ; SCALE ; PERFORMANCE ; RUNOFF ; HSPF
WOS研究方向	Water Resources
语种	英语
出版者	MDPI
WOS记录号	WOS:000472680400001
资助机构	Space Application Centre (SAC), Ahmedabad ; CAS Pioneer Hundred Talents Program
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/58336]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhang, Yongqiang
作者单位	1.IIT Khragpur, Kharagpur 721302, W Bengal, India 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 3.IIT Kharagpur, AgFE Dept, Kharagpur 721302, W Bengal, India 4.Odisha Univ Agr & Technol, Bhubaneswar 751003, Odisha, India
推荐引用方式 GB/T 7714	Paul, Pranesh Kumar,Zhang, Yongqiang,Mishra, Ashok,et al. Comparative Study of Two State-of-the-Art Semi-Distributed Hydrological Models[J]. WATER,2019,11(5):20.
APA	Paul, Pranesh Kumar,Zhang, Yongqiang,Mishra, Ashok,Panigrahy, Niranjan,&Singh, Rajendra.(2019).Comparative Study of Two State-of-the-Art Semi-Distributed Hydrological Models.WATER,11(5),20.
MLA	Paul, Pranesh Kumar,et al."Comparative Study of Two State-of-the-Art Semi-Distributed Hydrological Models".WATER 11.5(2019):20.