Applications of Remote Sensing and GIS in Water Quality Monitoring and Remediation: A State-of-the-Art Review

被引：34

作者：

Ramadas, Meenu ^{[1
]}

Samantaray, Alok Kumar ^{[1
]}

机构：

[1] IIT Bhubaneswar, Sch Infrastruct, Khordha 752050, Odisha, India

来源：

WATER REMEDIATION | 2018年

关键词：

Remote sensing; Water quality; Water remediation Contamination mapping; GIS; GROUNDWATER VULNERABILITY ASSESSMENT; SUSPENDED SEDIMENT CONCENTRATION; GEOGRAPHICAL INFORMATION-SYSTEM; NONPOINT-SOURCE POLLUTANTS; LANDSAT TM DATA; DRASTIC MODEL; OIL-SPILL; AQUIFER VULNERABILITY; SATELLITE IMAGERY; RISK-ASSESSMENT;

D O I：

10.1007/978-981-10-7551-3_13

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Recent advancements in the field of remote sensing and geographic information systems (GIS) have made it possible to conduct large-scale water remediation studies. Using improved spectral and spatial resolution sensors and geospatial modeling techniques, water quality parameters such as chlorophyll- a, algae bloom, turbidity, suspended sediments, and mineral content in water bodies including groundwater are being monitored at low cost and with greater accuracy. Integration of these technologies with field monitoring have successfully aided in identification of contamination zones and sources of contamination, and for developing strategies for remediation. High-resolution mapping of contamination zones will further help in allocating remediation efforts to the critically affected areas. This chapter investigates the status of ongoing research in the domain of remote sensing and GIS for water quality monitoring and management, and remediation of water resources.

引用

页码：225 / 246

页数：22

共 104 条

[1]

Abdelmalik KW, 2016, EGYPTIAN J REMOTE SE

[2] Assessment of groundwater contamination using geographic information systems [J].

Ahn, HI ;

Chon, HT .

ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 1999, 21 (03) :273-289

[3] Development of Remote Sensing Based Models for Surface Water Quality [J].

Akbar, Tahir Ali ;

Hassan, Quazi K. ;

Achari, Gopal .

CLEAN-SOIL AIR WATER, 2014, 42 (08) :1044-1051

[4] Groundwater vulnerability and risk mapping for the Basaltic aquifer of the Azraq basin of Jordan using GIS, Remote sensing and DRASTIC [J].

Al-Adamat, RAN ;

Foster, IDL ;

Baban, SMJ .

APPLIED GEOGRAPHY, 2003, 23 (04) :303-324

[5] Differences in phosphorus and nitrogen delivery to the gulf of Mexico from the Mississippi river basin [J].

Alexander, Richard B. ;

Smith, Richard A. ;

Schwarz, Gregory E. ;

Boyer, Elizabeth W. ;

Nolan, Jacqueline V. ;

Brakebill, John W. .

ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2008, 42 (03) :822-830

[6] Water quality assessment at Omerli Dam using remote sensing techniques [J].

Alparslan, Erhan ;

Aydoener, Cihangir ;

Tufekci, Vildan ;

Tuefekci, Hueseyin .

ENVIRONMENTAL MONITORING AND ASSESSMENT, 2007, 135 (1-3) :391-398

[7]

Arnold J.G., 1996, SOIL WATER ASSESSMEN

[8]

Asadi SS, 2007, CURR WORLD ENV, V2, P115

[9] A GIS-based DRASTIC model for assessing aquifer vulnerability in Kakamigahara Heights, Gifu Prefecture, central Japan [J].

Babiker, IS ;

Mohamed, MAA ;

Hiyama, T ;

Kato, K .

SCIENCE OF THE TOTAL ENVIRONMENT, 2005, 345 (1-3) :127-140

[10] Assessment of groundwater contamination by nitrate leaching from intensive vegetable cultivation using geographical information system [J].

Babiker, IS ;

Mohamed, MAA ;

Terao, H ;

Kato, K ;

Ohta, K .

ENVIRONMENT INTERNATIONAL, 2004, 29 (08) :1009-1017

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