干旱区生态环境知识资源中心(Arid): Optimization of Rain Gauge Networks for Arid Regions Based on Remote Sensing Data

Arid

DOI	10.3390/rs13214243
	Optimization of Rain Gauge Networks for Arid Regions Based on Remote Sensing Data
	Morsy, Mona; Taghizadeh-Mehrjardi, Ruhollah; Michaelides, Silas; Scholten, Thomas; Dietrich, Peter; Schmidt, Karsten
通讯作者	Morsy, M (corresponding author), UFZ Helmholtz Ctr Environm Res, Environm & Engn Geophys Dept, Monitoring & Explorat Technol, Permoserstr 15, D-04318 Leipzig, Germany. ; Morsy, M (corresponding author), Suez Canal Univ, Dept Geol, Fac Sci, Ismailia 41522, Egypt. ; Morsy, M (corresponding author), Univ Tubingen, Dept Geosci Soil Sci & Geomorphol, Rumelinstr 19-23, D-72070 Tubingen, Germany.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:21
英文摘要	Water depletion is a growing problem in the world's arid and semi-arid areas, where groundwater is the primary source of fresh water. Accurate climatic data must be obtained to protect municipal water budgets. Unfortunately, the majority of these arid regions have a sparsely distributed number of rain gauges, which reduces the reliability of the spatio-temporal fields generated. The current research proposes a series of measures to address the problem of data scarcity, in particular regarding in-situ measurements of precipitation. Once the issue of improving the network of ground precipitation measurements is settled, this may pave the way for much-needed hydrological research on topics such as the spatiotemporal distribution of precipitation, flash flood prevention, and soil erosion reduction. In this study, a k-means cluster analysis is used to determine new locations for the rain gauge network at the Eastern side of the Gulf of Suez in Sinai. The clustering procedure adopted is based on integrating a digital elevation model obtained from The Shuttle Radar Topography Mission (SRTM 90 x 90 m) and Integrated Multi-Satellite Retrievals for GPM (IMERG) for four rainy events. This procedure enabled the determination of the potential centroids for three different cluster sizes (3, 6, and 9). Subsequently, each number was tested using the Empirical Cumulative Distribution Function (ECDF) in an effort to determine the optimal one. However, all the tested centroids exhibited gaps in covering the whole range of elevations and precipitation of the test site. The nine centroids with the five existing rain gauges were used as a basis to calculate the error kriging. This procedure enabled decreasing the error by increasing the number of the proposed gauges. The resulting points were tested again by ECDF and this confirmed the optimum of thirty-one suggested additional gauges in covering the whole range of elevations and precipitation records at the study site.
英文关键词	rain gauge arid region GPM IMERG Empirical Cumulative Distribution Function Sinai
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000718586100001
WOS关键词	EL QAA PLAIN ; PRECIPITATION ; WEATHER ; SINAI ; SNOW
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/2XILL650/373827
作者单位	[Morsy, Mona; Dietrich, Peter] UFZ Helmholtz Ctr Environm Res, Environm & Engn Geophys Dept, Monitoring & Explorat Technol, Permoserstr 15, D-04318 Leipzig, Germany; [Morsy, Mona] Suez Canal Univ, Dept Geol, Fac Sci, Ismailia 41522, Egypt; [Morsy, Mona; Taghizadeh-Mehrjardi, Ruhollah; Scholten, Thomas] Univ Tubingen, Dept Geosci Soil Sci & Geomorphol, Rumelinstr 19-23, D-72070 Tubingen, Germany; [Taghizadeh-Mehrjardi, Ruhollah; Scholten, Thomas; Schmidt, Karsten] Univ Tubingen, CRC 1070 ResourceCultures, D-72074 Tubingen, Germany; [Taghizadeh-Mehrjardi, Ruhollah; Scholten, Thomas; Schmidt, Karsten] Univ Tubingen, DFG Cluster Excellence Machine Learning New Persp, D-72072 Tubingen, Germany; [Michaelides, Silas] Cyprus Univ Technol, Dept Civil Engn & Geomat, CY-3036 Limassol, Cyprus; [Michaelides, Silas] ERATOSTHENES Ctr Excellence, CY-3036 Limassol, Cyprus; [Dietrich, Peter] Univ Tubingen, Ctr Appl Geosci, Schnarrenbergstr 94-96, D-72076 Tubingen, Germany; [Schmidt, Karsten] Univ Tubingen, eSci Ctr, Kepler...
推荐引用方式 GB/T 7714	Morsy, Mona,Taghizadeh-Mehrjardi, Ruhollah,Michaelides, Silas,et al. Optimization of Rain Gauge Networks for Arid Regions Based on Remote Sensing Data[J],2021,13(21).
APA	Morsy, Mona,Taghizadeh-Mehrjardi, Ruhollah,Michaelides, Silas,Scholten, Thomas,Dietrich, Peter,&Schmidt, Karsten.(2021).Optimization of Rain Gauge Networks for Arid Regions Based on Remote Sensing Data.REMOTE SENSING,13(21).
MLA	Morsy, Mona,et al."Optimization of Rain Gauge Networks for Arid Regions Based on Remote Sensing Data".REMOTE SENSING 13.21(2021).