气候变化领域集成服务门户(CCPortal): Surface runoff response to climate change based on artificial neural network (ANN) models: a case study with Zagunao catchment in Upper Minjiang River, Southwest China

CCPortal

DOI	10.2166/wcc.2018.130
	Surface runoff response to climate change based on artificial neural network (ANN) models: a case study with Zagunao catchment in Upper Minjiang River, Southwest China
	Lin, Yong; Wen, Hui; Liu, Shirong
发表日期	2019-03-01
ISSN	2040-2244
卷号	10 期号:1 页码:158-166
英文摘要	Climate change and its hydrological consequences are of great concern for water resources managers in the context of global change. This is especially true for Upper Minjiang River (UMR) basin, where surface runoff was reported to decrease following fores
关键词	artificial neural networks (ANN)climate change land-use and land-cover change Upper Minjiang River
学科领域	Water Resources
语种	英语
WOS记录号	WOS:000461208500013
来源期刊	JOURNAL OF WATER AND CLIMATE CHANGE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/77714
作者单位	Chinese Acad Forestry, Inst Forest Ecol Environm & Protect, Beijing 100091, Peoples R China
推荐引用方式 GB/T 7714	Lin, Yong,Wen, Hui,Liu, Shirong. Surface runoff response to climate change based on artificial neural network (ANN) models: a case study with Zagunao catchment in Upper Minjiang River, Southwest China[J],2019,10(1):158-166.
APA	Lin, Yong,Wen, Hui,&Liu, Shirong.(2019).Surface runoff response to climate change based on artificial neural network (ANN) models: a case study with Zagunao catchment in Upper Minjiang River, Southwest China.JOURNAL OF WATER AND CLIMATE CHANGE,10(1),158-166.
MLA	Lin, Yong,et al."Surface runoff response to climate change based on artificial neural network (ANN) models: a case study with Zagunao catchment in Upper Minjiang River, Southwest China".JOURNAL OF WATER AND CLIMATE CHANGE 10.1(2019):158-166.