干旱区生态环境知识资源中心(Arid): Normalized difference vegetation index as the dominant predicting factor of groundwater recharge in phreatic aquifers: case studies across Iran

Arid

DOI	10.1038/s41598-020-74561-4
	Normalized difference vegetation index as the dominant predicting factor of groundwater recharge in phreatic aquifers: case studies across Iran
	Parizi, Esmaeel; Hosseini, Seiyed Mossa; Ataie-Ashtiani, Behzad; Simmons, Craig T.
通讯作者	Hosseini, SM
来源期刊	SCIENTIFIC REPORTS
ISSN	2045-2322
出版年	2020
卷号	10 期号:1
英文摘要	The estimation of long-term groundwater recharge rate (GWr) is a pre-requisite for efficient management of groundwater resources, especially for arid and semi-arid regions. Precise estimation of GWr is probably the most difficult factor of all measurements in the evaluation of GW resources, particularly in semi-arid regions in which the recharge rate is typically small and/or regions with scarce hydrogeological data. The main objective of this study is to find and assess the predicting factors of GWr at an aquifer scale. For this purpose, 325 Iran's phreatic aquifers (61% of Iran's aquifers) were selected based on the data availability and the effect of eight predicting factors were assessed on GWr estimation. The predicting factors considered include Normalized Difference Vegetation Index (NDVI), mean annual temperature (T), the ratio of precipitation to potential evapotranspiration (P/ETP), drainage density (Dd), mean annual specific discharge (Qs), Mean Slope (S), Soil Moisture (SM90), and population density (Popd). The local and global Moran's I index, geographically weighted regression (GWR), and two-step cluster analysis served to support the spatial analysis of the results. The eight predicting factors considered are positively correlated to GWr and the NDVI has the greatest influence followed by the P/ETP and SM90. In the regression model, NDVI solely explained 71% of the variation in GWr, while other drivers have only a minor modification (3.6%). The results of this study provide new insight into the complex interrelationship between GWr and vegetation density indicated by the NDVI. The findings of this study can help in better estimation of GWr especially for the phreatic aquifers that the hydrogeological ground-data requisite for establishing models are scarce.
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000582705900087
WOS关键词	GEOGRAPHICALLY WEIGHTED REGRESSION ; WATER-BUDGET MYTH ; SPATIAL-DISTRIBUTION ; SURFACE-WATER ; BALANCE ; MODEL ; RESOURCES ; RAINFALL ; BASIN ; NDVI
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/327150
作者单位	[Parizi, Esmaeel; Hosseini, Seiyed Mossa] Univ Tehran, Phys Geog Dept, Tehran 141556465, Iran; [Ataie-Ashtiani, Behzad] Sharif Univ Technol, Dept Civil Engn, POB 11155-9313, Tehran, Iran; [Ataie-Ashtiani, Behzad; Simmons, Craig T.] Flinders Univ S Australia, Natl Ctr Groundwater Res & Training, GPO Box 2100, Adelaide, SA 5001, Australia; [Ataie-Ashtiani, Behzad; Simmons, Craig T.] Flinders Univ S Australia, Coll Sci & Engn, GPO Box 2100, Adelaide, SA 5001, Australia
推荐引用方式 GB/T 7714	Parizi, Esmaeel,Hosseini, Seiyed Mossa,Ataie-Ashtiani, Behzad,et al. Normalized difference vegetation index as the dominant predicting factor of groundwater recharge in phreatic aquifers: case studies across Iran[J],2020,10(1).
APA	Parizi, Esmaeel,Hosseini, Seiyed Mossa,Ataie-Ashtiani, Behzad,&Simmons, Craig T..(2020).Normalized difference vegetation index as the dominant predicting factor of groundwater recharge in phreatic aquifers: case studies across Iran.SCIENTIFIC REPORTS,10(1).
MLA	Parizi, Esmaeel,et al."Normalized difference vegetation index as the dominant predicting factor of groundwater recharge in phreatic aquifers: case studies across Iran".SCIENTIFIC REPORTS 10.1(2020).