干旱区生态环境知识资源中心(Arid): Research on flood forecasting based on flood hydrograph generalization and random forest in Qiushui River basin, China

Arid

DOI	10.2166/hydro.2020.147
	Research on flood forecasting based on flood hydrograph generalization and random forest in Qiushui River basin, China
	Tang, Tiantian; Liang, Zhongmin; Hu, Yiming; Li, Binquan; Wang, Jun
通讯作者	Liang, ZM (corresponding author), Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China.
来源期刊	JOURNAL OF HYDROINFORMATICS
ISSN	1464-7141
EISSN	1465-1734
出版年	2020
卷号	22 期号:6 页码:1588-1602
英文摘要	At present, the use of hydrological models is the main technical approach for real-time flood forecasting. However, in semi-arid and arid areas, the use of the hydrological model is restricted by technical and data conditions. With the accumulation of hydrological data deluge, making full use of historical data and mining potential hydrological laws, causal relationships and other valuable information behind them provide new ideas for real-time flood forecasting in the study area. This paper develops a hybrid flood forecasting model that combines the flood hydrograph generalization method and random forest in the Qiushui River basin in the middle reaches of the Yellow River. The performance of this hybrid model is compared to that of the antecedent precipitation index model. For the development of these models, 23 flood events occurring from 1980 to 2010 are selected, of which 18 are used for calibration and 5 are used for validation. The results show that the hybrid model yields accurate predictions. And the comparison shows that the hybrid model performs better than the empirical model in the Qiushui River basin. Thus, this study provides a method for improving the accuracy of flood forecasting.
英文关键词	flood forecasting flood hydrograph generalization Qiushui River basin random forest
类型	Article
语种	英语
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:000595656000010
WOS关键词	MODEL ; REPRESENTATION ; RESERVOIR ; TOOL
WOS类目	Computer Science, Interdisciplinary Applications ; Engineering, Civil ; Environmental Sciences ; Water Resources
WOS研究方向	Computer Science ; Engineering ; Environmental Sciences & Ecology ; Water Resources
来源机构	河海大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/348995
作者单位	[Tang, Tiantian; Liang, Zhongmin; Hu, Yiming; Li, Binquan; Wang, Jun] Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China; [Liang, Zhongmin] Natl Cooperat Innovat Ctr Water Safety & Hydrosci, Nanjing 210024, Peoples R China
推荐引用方式 GB/T 7714	Tang, Tiantian,Liang, Zhongmin,Hu, Yiming,et al. Research on flood forecasting based on flood hydrograph generalization and random forest in Qiushui River basin, China[J]. 河海大学,2020,22(6):1588-1602.
APA	Tang, Tiantian,Liang, Zhongmin,Hu, Yiming,Li, Binquan,&Wang, Jun.(2020).Research on flood forecasting based on flood hydrograph generalization and random forest in Qiushui River basin, China.JOURNAL OF HYDROINFORMATICS,22(6),1588-1602.
MLA	Tang, Tiantian,et al."Research on flood forecasting based on flood hydrograph generalization and random forest in Qiushui River basin, China".JOURNAL OF HYDROINFORMATICS 22.6(2020):1588-1602.