气候变化领域集成服务门户(CCPortal): Hydrological Responses to the Future Climate Change in a Data Scarce Region, Northwest China: Application of Machine Learning Models

CCPortal

DOI	10.3390/w11081588
	Hydrological Responses to the Future Climate Change in a Data Scarce Region, Northwest China: Application of Machine Learning Models
	Zhu, Rui; Yang, Linshan; Liu, Tao; Wen, Xiaohu; Zhang, Liming; Chang, Yabin
发表日期	2019-08-01
EISSN	2073-4441
卷号	11 期号:8
英文摘要	Forecasting the potential hydrological response to future climate change is an effective way of assessing the adverse effects of future climate change on water resources. Data-driven models based on machine learning algorithms have great application prosp
关键词	global climate model hydrological response extreme learning machine support vector regression Heihe River
学科领域	Water Resources
语种	英语
WOS记录号	WOS:000484561500062
来源期刊	WATER
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/80675
作者单位	Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Ecohydrol Inland River Basin, Lanzhou 730000, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Zhu, Rui,Yang, Linshan,Liu, Tao,et al. Hydrological Responses to the Future Climate Change in a Data Scarce Region, Northwest China: Application of Machine Learning Models[J],2019,11(8).
APA	Zhu, Rui,Yang, Linshan,Liu, Tao,Wen, Xiaohu,Zhang, Liming,&Chang, Yabin.(2019).Hydrological Responses to the Future Climate Change in a Data Scarce Region, Northwest China: Application of Machine Learning Models.WATER,11(8).
MLA	Zhu, Rui,et al."Hydrological Responses to the Future Climate Change in a Data Scarce Region, Northwest China: Application of Machine Learning Models".WATER 11.8(2019).