干旱区生态环境知识资源中心(Arid): Assessing Water Availability in Mediterranean Regions Affected by Water Conflicts through MODIS Data Time Series Analysis

Arid

DOI	10.3390/rs11111355
	Assessing Water Availability in Mediterranean Regions Affected by Water Conflicts through MODIS Data Time Series Analysis
	Marco-Dos Santos, Gema 1; Melendez-Pastor, Ignacio 1; Navarro-Pedreno, Jose 1; Koch, Magaly 2
通讯作者	Melendez-Pastor, Ignacio
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2019
卷号	11 期号:11
英文摘要	Water scarcity is a widespread problem in arid and semi-arid regions such as the western Mediterranean coastal areas. The irregularity of the precipitation generates frequent droughts that exacerbate the conflicts among agriculture, water supply and water demands for ecosystems maintenance. Besides, global climate models predict that climate change will cause Mediterranean arid and semi-arid regions to shift towards lower rainfall scenarios that may exacerbate water conflicts. The purpose of this study is to find a feasible methodology to assess current and monitor future water demands in order to better allocate limited water resources. The interdependency between a vegetation index (NDVI), land surface temperature (LST), precipitation (current and future), and surface water resources availability in two watersheds in southeastern Spain with serious difficulties in meeting water demands was investigated. MODIS (Moderate Resolution Imaging Spectroradiometer) NDVI and LST products (as proxy of drought), precipitation maps (generated from climate station records) and reservoir storage gauging information were used to compute times series anomalies from 2001 to 2014 and generate regression images and spatial regression models. The temporal relationship between reservoir storage and time series of satellite images allowed the detection of different and contrasting water management practices in the two watersheds. In addition, a comparison of current precipitation rates and future precipitation conditions obtained from global climate models suggests high precipitation reductions, especially in areas that have the potential to contribute significantly to groundwater storage and surface runoff, and are thus critical to reservoir storage. Finally, spatial regression models minimized spatial autocorrelation effects, and their results suggested the great potential of our methodology combining NDVI and LST time series to predict future scenarios of water scarcity.
英文关键词	vegetation index precipitation LST water supply semiarid Mediterranean spatial regression
类型	Article
语种	英语
国家	Spain ; USA
开放获取类型	Green Submitted, gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000472648000098
WOS关键词	CLIMATE-CHANGE ; SPATIAL AUTOCORRELATION ; MONITORING DROUGHT ; VEGETATION ; IMPACT ; INDEX ; TEMPERATURE ; VARIABILITY ; RESILIENCE ; PARAMETERS
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218374
作者单位	1.Univ Miguel Hernandez Elche, Dept Agrochem & Environm, Ave Univ Elche,Edificio Alcudia, Elche 03202, Spain; 2.Boston Univ, Ctr Remote Sensing, 725 Commonwealth Ave, Boston, MA 02215 USA
推荐引用方式 GB/T 7714	Marco-Dos Santos, Gema,Melendez-Pastor, Ignacio,Navarro-Pedreno, Jose,et al. Assessing Water Availability in Mediterranean Regions Affected by Water Conflicts through MODIS Data Time Series Analysis[J],2019,11(11).
APA	Marco-Dos Santos, Gema,Melendez-Pastor, Ignacio,Navarro-Pedreno, Jose,&Koch, Magaly.(2019).Assessing Water Availability in Mediterranean Regions Affected by Water Conflicts through MODIS Data Time Series Analysis.REMOTE SENSING,11(11).
MLA	Marco-Dos Santos, Gema,et al."Assessing Water Availability in Mediterranean Regions Affected by Water Conflicts through MODIS Data Time Series Analysis".REMOTE SENSING 11.11(2019).