Water quality mapping using remote sensing technique in Penang Straits, Malaysia

Remote sensing provides a synoptic view of the earth surface that can provide spatial and temporal trends necessary for comprehensive water quality (WQ) monitoring and assessment. This study explores the applicability of Landsat 8 and regression analysis in developing models for estimating WQ parameters such as pH, dissolved oxygen (DO), total dissolved solids (TDS), total suspended solids (TSS), biological oxygen demand (BOD), turbidity, and conductivity. The input image was radiometrically-calibrated using fast line-of-sight atmospheric analysis (FLAASH) and then atmospherically corrected to obtain surface reflectance (SR) bands using FLAASH and dark object subtraction (DOS) for comparison. SR bands derived using FLAASH and DOS, water indices, band ratio, and principal component analysis (PCA) images were utilized as input data. Feature vectors were then collected from the input bands and subsequently regressed together with the WQ data. Forward regression results yielded significant high R2 values for all WQ parameters except TSS and conductivity which had only 60.1% and 67.7% respectively. Results also showed that the regression models of pH, BOD, TSS, TDS, DO, and conductivity are highly significant to SR bands derived using DOS. Furthermore, the results of this study showed the promising potential of using RS-based WQ models in performing periodic WQ monitoring and assessment.

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A Research of Water Quality Using Remote Sensing Technique on Nagasaki Harbour

PROCEEDINGS OF CIVIL ENGINEERING IN THE OCEAN ◽

10.2208/prooe.10.113 ◽

1994 ◽

Vol 10 ◽

pp. 113-118

Author(s):

Keinosuke Gotoh ◽

Byungdug Jun ◽

Takehiro Nakamura

Keyword(s):

Remote Sensing ◽

Water Quality ◽

Remote Sensing Technique

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Study of Open Drainage System With The Help of Remote Sensing Technique : Gomti River Case Study

SAMRIDDHI A Journal of Physical Sciences Engineering and Technology ◽

10.18090/samriddhi.v7i2.8628 ◽

2015 ◽

Vol 7 (2) ◽

Author(s):

Satyam Dixit ◽

Rahul Misra

Keyword(s):

Heavy Metals ◽

Remote Sensing ◽

Water Quality ◽

Drainage System ◽

Industrial Effluents ◽

Agricultural Runoff ◽

Open Drainage ◽

Remote Sensing Technique ◽

Gomti River ◽

Total Dissolved Solid

This paper presents the remote sensing technique for the study of open drainage system and its effect on Gomti river in Lucknow area.Gomti river originates from MadhoganjTanda village in Pilibhit district, U.P. It passes through the district of Shahjahanpur, Kheri, Hardoi, Sitapur, Lucknow, Barabanki, Sultanpur, Jaunpur and ultimately merges in the Ganga. The world is facing problems with a wide variety of pollutants both inorganic and organic in nature. Healthy soil, clean water and air are the soul of life. Often soil, water and air are no longer clean and pure, but pose human health risks. Gomti receives huge quantities of untreated sewage, agricultural runoff, brings lot of pesticides, fertilizer, street washouts bringing oil, asphalt, sediment and many types of heavy metals. From industrial effluents to domestic discharge, the river becomes more of a flowing dumping yard. The physicochemical parameters in water of river Gomti were assessed to know about the water quality in its catchment area. Parameters like Temperature, Total suspended solids (TSS), Total dissolved solid (TDS), pH, Hardness, Dissolved oxygen (DO), Nitrate, Nitrite, Chlorine, Total Coliforms and some Heavy metals were determined. Changes in water quality of River Gomti due to variations in quantity of parameters were found. Heavy metals mainly Iron, Cadmium, Copper and Arsenic were noticed.

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