干旱区生态环境知识资源中心(Arid): Examining spatiotemporal salinity dynamics in the Mekong River Delta using Landsat time series imagery and a spatial regression approach

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DOI	10.1016/j.scitotenv.2019.06.056
	Examining spatiotemporal salinity dynamics in the Mekong River Delta using Landsat time series imagery and a spatial regression approach
	Tran, Thuong, V 1,5; Tran, Duy X.2,6; Myint, Soe W.3; Huang, Cho-ying 4; Pham, Hoa, V 1,7; Luu, Tung H.1; Vo, Tien M. T.1
通讯作者	Tran, Duy X.
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
EISSN	1879-1026
出版年	2019
卷号	687 页码:1087-1097
英文摘要	Most coastal areas globally face water shortages in the dry season due to salinization and drought. The Mekong River Delta (MRD) is recognized as the Rice Bowl in Vietnam but the negative effects of salinization and drought have damaged rice production in recent decades. However, regional assessment of the perturbation has been lacking. A Landsat-based satellite salinity index, the Enhanced Salinity Index (ESI), was developed in this study to explore patterns of annual salinity variations in agricultural land and their relationship to drought in the MRD from 1989 to 2018. The performance of the index was superior to that of other previously published remotely sensed indices, based on correlations with field measurements of electrical conductivity (i.e. groundwater and soil EC), which can be used as a proxy for salinity. The time-series ESI was then utilized to explore the spatio-temporal dynamics of salinity in the study area using the Theil-Sendmedian trend (TS) and Mann-Kendall significance tests (MK). In addition, temporal relationships with the Normalized Difference Water Index (NDWI) were used to investigate the relationship between drought and saline intrusion. Our results showed that freshwater and brackish areas increased inland, whereas those developed for shrimp farming may increase soil and groundwater salinity. A negative correlation between drought and salinity was also observed in surface water where fish and shrimp farming activities took place, while a positive relationship was discovered in rice and annual cropland areas. This study highlights the use of ESI as an effective parameter for modelling vegetation salinity and its relationship with cropland change. We also demonstrate the feasibility of integrating satellite imagery with spatiotemporal analyses to monitor and assess regional salinization dynamics. (C) 2019 Elsevier B.V. All rights reserved.
英文关键词	Drought Enhanced Salinity Index (ESI) Landsat Normalized Difference Water Index (NDWI) Vietnam
类型	Article
语种	英语
国家	Vietnam ; New Zealand ; USA ; Taiwan
收录类别	SCI-E
WOS记录号	WOS:000480316300107
WOS关键词	AL HASSA OASIS ; SOIL-SALINITY ; ETM PLUS ; MODIS ; WATER ; DROUGHT ; BASIN ; SALINIZATION ; DEGRADATION ; VARIABILITY
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
来源机构	Arizona State University
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218713
作者单位	1.Viemamese Acad Sci & Technol, Ho Chi Minh City Inst Resources Geog, Hcmc 70000, Vietnam; 2.Massey Univ, Sch Agr & Environm, Palmerston North 4442, New Zealand; 3.Arizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ 85287 USA; 4.Natl Taiwan Univ, Dept Geog, Taipei 10617, Taiwan; 5.Univ Social Sci & Humanities, Sch Geog, Hcmc 70000, Vietnam; 6.Inst Strategy & Policy Nat Resources & Environm, Hanoi 10000, Vietnam; 7.Grad Univ Sci & Technol, Vietnamese Acad Sci & Technol, Hanoi 10000, Vietnam
推荐引用方式 GB/T 7714	Tran, Thuong, V,Tran, Duy X.,Myint, Soe W.,et al. Examining spatiotemporal salinity dynamics in the Mekong River Delta using Landsat time series imagery and a spatial regression approach[J]. Arizona State University,2019,687:1087-1097.
APA	Tran, Thuong, V.,Tran, Duy X..,Myint, Soe W..,Huang, Cho-ying.,Pham, Hoa, V.,...&Vo, Tien M. T..(2019).Examining spatiotemporal salinity dynamics in the Mekong River Delta using Landsat time series imagery and a spatial regression approach.SCIENCE OF THE TOTAL ENVIRONMENT,687,1087-1097.
MLA	Tran, Thuong, V,et al."Examining spatiotemporal salinity dynamics in the Mekong River Delta using Landsat time series imagery and a spatial regression approach".SCIENCE OF THE TOTAL ENVIRONMENT 687(2019):1087-1097.