干旱区生态环境知识资源中心(Arid): Scrutinizing Relationships between Submarine Groundwater Discharge and Upstream Areas Using Thermal Remote Sensing: A Case Study in the Northern Persian Gulf

Arid

DOI	10.3390/rs13030358
	Scrutinizing Relationships between Submarine Groundwater Discharge and Upstream Areas Using Thermal Remote Sensing: A Case Study in the Northern Persian Gulf
	Samani, Aliakbar Nazari; Farzin, Mohsen; Rahmati, Omid; Feiznia, Sadat; Kazemi, Gholam Abbas; Foody, Giles; Melesse, Assefa M.
通讯作者	Melesse, AM (corresponding author), Florida Int Univ, Inst Environm, Dept Earth & Environm, Miami, FL 33199 USA.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:3
英文摘要	Nutrient input through submarine groundwater discharge (SGD) often plays a significant role in primary productivity and nutrient cycling in the coastal areas. Understanding relationships between SGD and topo-hydrological and geo-environmental characteristics of upstream zones is essential for sustainable development in these areas. However, these important relationships have not yet been completely explored using data-mining approaches, especially in arid and semi-arid coastal lands. Here, Landsat 8 thermal sensor data were used to identify potential sites of SGD at a regional scale. Relationships between the remotely-sensed sea surface temperature (SST) patterns and geo-environmental variables of upland watersheds were analyzed using logistic regression model for the first time. The accuracy of the predictions was evaluated using the area under the receiver operating characteristic curve (AUC-ROC) metric. A highly accurate model, with the AUC-ROC of 96.6%, was generated. Moreover, the results indicated that the percentage of karstic lithological formation and topographic wetness index were key variables influencing SGD phenomenon and spatial distribution in the northern coastal areas of the Persian Gulf. The adopted methodology and applied metrics can be transferred to other coastal regions as a rapid assessment procedure for SGD site detection. Moreover, the results can help planners and decision-makers to develop efficient environmental management strategies and the design of comprehensive sustainable development policies.
英文关键词	thermal remote sensing submarine groundwater discharge geo-environmental variables Persian Gulf karstic formations
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000615472900001
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/2XILL650/348136
作者单位	[Samani, Aliakbar Nazari; Feiznia, Sadat] Univ Tehran, Fac Nat Resources, Dept Reclamat Arid & Mt Reg, Karaj 3158777871, Iran; [Farzin, Mohsen] Univ Yasuj, Fac Agr & Nat Resources, Dept Range & Watershed Management, Yasuj 7591874934, Iran; [Rahmati, Omid] AREEO, Soil Conservat & Watershed Management Res Dept, Kurdistan Agr & Nat Resources Res & Educ Ctr, Sanandaj 6616936311, Iran; [Kazemi, Gholam Abbas] Shahrood Univ Technol, Dept Hydrogeol, Fac Earth Sci, Shahrood 3619995161, Iran; [Foody, Giles] Univ Nottingham, Sch Geog, Nottingham NG7 2RD, England; [Melesse, Assefa M.] Florida Int Univ, Inst Environm, Dept Earth & Environm, Miami, FL 33199 USA
推荐引用方式 GB/T 7714	Samani, Aliakbar Nazari,Farzin, Mohsen,Rahmati, Omid,et al. Scrutinizing Relationships between Submarine Groundwater Discharge and Upstream Areas Using Thermal Remote Sensing: A Case Study in the Northern Persian Gulf[J],2021,13(3).
APA	Samani, Aliakbar Nazari.,Farzin, Mohsen.,Rahmati, Omid.,Feiznia, Sadat.,Kazemi, Gholam Abbas.,...&Melesse, Assefa M..(2021).Scrutinizing Relationships between Submarine Groundwater Discharge and Upstream Areas Using Thermal Remote Sensing: A Case Study in the Northern Persian Gulf.REMOTE SENSING,13(3).
MLA	Samani, Aliakbar Nazari,et al."Scrutinizing Relationships between Submarine Groundwater Discharge and Upstream Areas Using Thermal Remote Sensing: A Case Study in the Northern Persian Gulf".REMOTE SENSING 13.3(2021).