多源再分析降水数据在拉萨河流域应用对比研究

doi:10.18306/dlkxjz.2017.08.012

Abstract

Abstract:

Hydrological simulation in ungauged basins is a challenging topic in hydrology and water resource fields internationally. With the fast development of remote sensing technology, it is possible to utilize remote sensing derived precipitation data in hydrological fields to accelerate the progress of research in the PUB (predictions in ungauged basins) plan. This study compared the applications of different reanalyzed precipitation data—the grid and forcing precipitation data—in hydrological simulation in the Lhasa River Basin. The study built a distributed hydrological model using the HIMS model for the basin. The process started with inputting the daily precipitation data from the National Meteorological Center, then based on the measured flow in the Lhasa hydrological control station to calibrate and verify the hydrological model. After this, two types of remote sensing reanalyzed precipitation data in HIMS model were imported for runoff simulation, and the results were compared with simulation results of the measured weather station daily precipitation data. Subsequently, the applicability of the two types of remote sensing reanalyzed precipitation data in the Lhasa River Basin was analyzed. On the whole, the Nash-Sutcliffe efficiency coefficient of the runoff simulation based on daily precipitation data is 0.86 (daily process) and 0.93 (monthly process), and the correlation coefficient is above 0.9. The Nash-Sutcliffe efficiency coefficient of the rainfall-runoff simulations based on the two reanalyzed precipitation datasets are both above 0.7 in the daily scale process and over 0.8 in the monthly scale process, and the correlation coefficient are both around 0.9. The results show that the measured weather station daily precipitation data resulted in the best simulation outcomes and both the grid precipitation data and forcing precipitation data generate satisfactory runoff simulation results in the Lhasa River Basin. This indicates that daily precipitation data are useful although the number of rainfall stations in this area is limited. The remote sensing reanalyzed precipitation datasets can be well used in ungauged areas such as the Lhasa River Basin and it may become a reliable source when analyzing the relationship between rainfall and runoff in ungauged basins. Using rainfall-runoff model to examine the impact of multi-sources reanalyzed precipitation datasets on the accuracy of runoff simulation is essential for evaluating the quality of such datasets.

Key words: distributed hydrological model, multi-source reanalyzed precipitation data, runoff simulation, comparitive analysis, Lhasa River Basin

Yuhan GUO, Zhonggen WANG, Yuliang WU. Comparison of applications of different reanalyzed precipitation data in the Lhasa River Basin based on HIMS model[J].PROGRESS IN GEOGRAPHY, 2017, 36(8): 1033-1039.

Figures/Tables 7

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References 25

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流域编号	土壤蓄水容量W_mm	产流参数		壤中流系数L_a	地下水补给系数R_c	实际蒸散发系数ε	基流系数K_b	汇流参数
流域编号	土壤蓄水容量W_mm	R		壤中流系数L_a	地下水补给系数R_c	实际蒸散发系数ε	r	C1	C2
1	356.0	9.00	0.10	0.23	0.01	0.10	0.01	0.06	0.05
2	50.0	0.48	0.19	0.97	0.03	1.56	0.05	0.90	0.90
3	50.0	0.22	0.99	0.57	0.09	0.15	0.02	0.05	0.06
4	50.0	5.31	0.10	0.14	0.01	0.16	0.03	0.05	0.25
5	73.0	8.65	0.16	0.20	0.01	0.86	0.02	0.05	0.05
6	50.0	3.00	0.99	0.10	0.01	0.10	0.01	0.05	0.05
7	50.0	2.88	0.10	0.19	0.02	0.96	0.01	0.06	0.05
8	1000.0	3.60	0.63	0.15	0.09	0.10	0.02	0.09	0.28
9	50.0	2.62	0.36	0.51	0.01	0.15	0.01	0.07	0.16
10	96.0	11.25	0.10	0.10	0.13	0.10	0.01	0.05	0.05
11	93.5	0.30	0.10	0.33	0.02	0.38	0.01	0.07	0.17
12	50.0	0.22	0.10	0.10	0.01	0.14	0.01	0.13	0.07
13	50.0	4.83	0.70	0.10	0.03	0.35	0.06	0.06	0.05
14	50.0	0.68	0.10	0.10	0.14	0.10	0.01	0.09	0.09
15	50.0	4.34	0.99	0.15	1.00	0.13	0.01	0.05	0.05
16	113.0	0.37	0.19	0.42	0.01	0.10	0.01	0.05	0.90

计算时期	NSE			RE			WE/%
计算时期	日尺度		月尺度		日尺度	月尺度	日尺度	月尺度
率定期(1973-2002)	0.86	0.93		0.93	0.97		-6.86	-6.91
验证期(2003-2008)	0.83	0.90		0.92	0.95		-11.57	-7.85

日尺度	率定期(1973-2002)			验证期(2003-2008)			月尺度	率定期(1973-2002)				验证期(2003-2008)
日尺度	NSE		RE	WE/%		NSE	RE	WE/%	NSE	RE	WE/%	NSE	RE	WE/%
气象站降水数据	0.86	0.93	-6.86	0.83	0.92	-11.57	气象站降水数据	0.93	0.97	-6.91		0.90	0.95	-7.85
网格点降水数据	0.74	0.89	16.33	0.80	0.89	8.23	网格点降水数据	0.81	0.93	16.32		0.88	0.94	8.16
驱动集降水数据	0.79	0.90	6.36	0.78	0.88	-2.66	驱动集降水数据	0.87	0.94	6.38		0.86	0.93	-2.66

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Comparison of applications of different reanalyzed precipitation data in the Lhasa River Basin based on HIMS model

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