干旱区生态环境知识资源中心(Arid): An Assessment of the Hydrological Trends Using Synergistic Approaches of Remote Sensing and Model Evaluations over Global Arid and Semi-Arid Regions

Arid

DOI	10.3390/rs12233973
	An Assessment of the Hydrological Trends Using Synergistic Approaches of Remote Sensing and Model Evaluations over Global Arid and Semi-Arid Regions
	Li, Wenzhao; El-Askary, Hesham; Thomas, Rejoice; Tiwari, Surya Prakash; Manikandan, Karuppasamy P.; Piechota, Thomas; Struppa, Daniele
通讯作者	El-Askary, H (corresponding author), Chapman Univ, Schmid Coll Sci & Technol, Orange, CA 92866 USA. ; El-Askary, H (corresponding author), Chapman Univ, Ctr Excellence Earth Syst Modeling & Observat, Orange, CA 92866 USA. ; El-Askary, H (corresponding author), Alexandria Univ, Fac Sci, Dept Environm Sci, Alexandria 21522, Egypt.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:23
英文摘要	Drylands cover about 40% of the world's land area and support two billion people, most of them living in developing countries that are at risk due to land degradation. Over the last few decades, there has been warming, with an escalation of drought and rapid population growth. This will further intensify the risk of desertification, which will seriously affect the local ecological environment, food security and people's lives. The goal of this research is to analyze the hydrological and land cover characteristics and variability over global arid and semi-arid regions over the last decade (2010-2019) using an integrative approach of remotely sensed and physical process-based numerical modeling (e.g., Global Land Data Assimilation System (GLDAS) and Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS) models) data. Interaction between hydrological and ecological indicators including precipitation, evapotranspiration, surface soil moisture and vegetation indices are presented in the global four types of arid and semi-arid areas. The trends followed by precipitation, evapotranspiration and surface soil moisture over the decade are also mapped using harmonic analysis. This study also shows that some hotspots in these global drylands, which exhibit different processes of land cover change, demonstrate strong coherency with noted groundwater variations. Various types of statistical measures are computed using the satellite and model derived values over global arid and semi-arid regions. Comparisons between satellite- (NASA-USDA Surface Soil Moisture and MODIS Evapotranspiration data) and model (FLDAS and GLDAS)-derived values over arid regions (BSh, BSk, BWh and BWk) have shown the over and underestimation with low accuracy. Moreover, general consistency is apparent in most of the regions between GLDAS and FLDAS model, while a strong discrepancy is also observed in some regions, especially appearing in the Nile Basin downstream hyper-arid region. Data-driven modelling approaches are thus used to enhance the models' performance in this region, which shows improved results in multiple statistical measures ((RMSE), bias (psi), the mean absolute percentage difference (vertical bar psi vertical bar)) and the linear regression coefficients (i.e., slope, intercept, and coefficient of determination (R-2)).
英文关键词	drylands climate classification GLDAS FLDAS machine learning Google Earth Engine
类型	Article
语种	英语
开放获取类型	gold, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000597532700001
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/2XILL650/349154
作者单位	[Li, Wenzhao; El-Askary, Hesham; Piechota, Thomas; Struppa, Daniele] Chapman Univ, Schmid Coll Sci & Technol, Orange, CA 92866 USA; [El-Askary, Hesham] Chapman Univ, Ctr Excellence Earth Syst Modeling & Observat, Orange, CA 92866 USA; [El-Askary, Hesham] Alexandria Univ, Fac Sci, Dept Environm Sci, Alexandria 21522, Egypt; [Thomas, Rejoice] Chapman Univ, Schmid Coll Sci & Technol, Computat & Data Sci Grad Program, Orange, CA 92866 USA; [Tiwari, Surya Prakash; Manikandan, Karuppasamy P.] King Fahd Univ Petr & Minerals KFUPM, Res Inst, Ctr Environm & Water, Dhahran 31261, Saudi Arabia
推荐引用方式 GB/T 7714	Li, Wenzhao,El-Askary, Hesham,Thomas, Rejoice,et al. An Assessment of the Hydrological Trends Using Synergistic Approaches of Remote Sensing and Model Evaluations over Global Arid and Semi-Arid Regions[J],2020,12(23).
APA	Li, Wenzhao.,El-Askary, Hesham.,Thomas, Rejoice.,Tiwari, Surya Prakash.,Manikandan, Karuppasamy P..,...&Struppa, Daniele.(2020).An Assessment of the Hydrological Trends Using Synergistic Approaches of Remote Sensing and Model Evaluations over Global Arid and Semi-Arid Regions.REMOTE SENSING,12(23).
MLA	Li, Wenzhao,et al."An Assessment of the Hydrological Trends Using Synergistic Approaches of Remote Sensing and Model Evaluations over Global Arid and Semi-Arid Regions".REMOTE SENSING 12.23(2020).