Indicative Lake Water Quality Assessment Using Remote Sensing Images-Effect of COVID-19 Lockdown
The major lockdown due to the COVID-19 pandemic has affected the socio-economic development of the world. On the other hand, there are also reports of reduced pollution levels. In this study, an indicative analysis is adopted to understand the effect of lockdown on the changes in the water quality p...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/13/1/73 |
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| author | Poonam Wagh Jency M. Sojan Sriram J. Babu Renu Valsala Suman Bhatia Roshan Srivastav |
| author_facet | Poonam Wagh Jency M. Sojan Sriram J. Babu Renu Valsala Suman Bhatia Roshan Srivastav |
| author_sort | Poonam Wagh |
| collection | DOAJ |
| description | The major lockdown due to the COVID-19 pandemic has affected the socio-economic development of the world. On the other hand, there are also reports of reduced pollution levels. In this study, an indicative analysis is adopted to understand the effect of lockdown on the changes in the water quality parameters for Lake Hussain Sagar using two remote sensing techniques: (i) spectral reflectance (SR) and (ii) chromaticity analysis (Forel-Ule color Index (FUI) and Excitation Purity). The empirical relationships from earlier studies imply that (i) increase in SR values (band B2) indicates a reduction in Chlorophyll-a (Chl-a) and Colored Dissolved Organic Matter (CDOM) concentrations, and (ii) increase in FUI indicates an increase in Total Suspended Solids (TSS). The Landsat 8 OLI satellite images are adopted for comparison between (i) January to May of year 2020: the effect of lockdown on water quality, and (ii) March and April for years 2015 to 2020: historical variations in water quality. The results show notable changes in SR values and FUI due to lockdown compared to before lockdown and after unlock suggesting a significant reduction in lake water pollution. In addition, the historical variations within April suggest that the pollution levels are least in the year 2020. |
| first_indexed | 2024-03-10T13:35:29Z |
| format | Article |
| id | doaj.art-0ef58f964ff84537bf8c5a5094d42ef9 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T13:35:29Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-0ef58f964ff84537bf8c5a5094d42ef92023-11-21T07:32:15ZengMDPI AGWater2073-44412020-12-011317310.3390/w13010073Indicative Lake Water Quality Assessment Using Remote Sensing Images-Effect of COVID-19 LockdownPoonam Wagh0Jency M. Sojan1Sriram J. Babu2Renu Valsala3Suman Bhatia4Roshan Srivastav5Department of Civil and Environmental Engineering, Indian Institute of Technology, Tirupati 517506, IndiaDepartment of Civil and Environmental Engineering, Indian Institute of Technology, Tirupati 517506, IndiaDepartment of Civil and Environmental Engineering, Indian Institute of Technology, Tirupati 517506, IndiaDepartment of Civil Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad 826004, IndiaDepartment of Economics, SPDM Government Girls College, Kotputli (Jaipur) 303108, IndiaDepartment of Civil and Environmental Engineering, Indian Institute of Technology, Tirupati 517506, IndiaThe major lockdown due to the COVID-19 pandemic has affected the socio-economic development of the world. On the other hand, there are also reports of reduced pollution levels. In this study, an indicative analysis is adopted to understand the effect of lockdown on the changes in the water quality parameters for Lake Hussain Sagar using two remote sensing techniques: (i) spectral reflectance (SR) and (ii) chromaticity analysis (Forel-Ule color Index (FUI) and Excitation Purity). The empirical relationships from earlier studies imply that (i) increase in SR values (band B2) indicates a reduction in Chlorophyll-a (Chl-a) and Colored Dissolved Organic Matter (CDOM) concentrations, and (ii) increase in FUI indicates an increase in Total Suspended Solids (TSS). The Landsat 8 OLI satellite images are adopted for comparison between (i) January to May of year 2020: the effect of lockdown on water quality, and (ii) March and April for years 2015 to 2020: historical variations in water quality. The results show notable changes in SR values and FUI due to lockdown compared to before lockdown and after unlock suggesting a significant reduction in lake water pollution. In addition, the historical variations within April suggest that the pollution levels are least in the year 2020.https://www.mdpi.com/2073-4441/13/1/73water pollutionCOVID-19remote sensingchromaticityForel-Ule Color Indexexcitation purity |
| spellingShingle | Poonam Wagh Jency M. Sojan Sriram J. Babu Renu Valsala Suman Bhatia Roshan Srivastav Indicative Lake Water Quality Assessment Using Remote Sensing Images-Effect of COVID-19 Lockdown Water water pollution COVID-19 remote sensing chromaticity Forel-Ule Color Index excitation purity |
| title | Indicative Lake Water Quality Assessment Using Remote Sensing Images-Effect of COVID-19 Lockdown |
| title_full | Indicative Lake Water Quality Assessment Using Remote Sensing Images-Effect of COVID-19 Lockdown |
| title_fullStr | Indicative Lake Water Quality Assessment Using Remote Sensing Images-Effect of COVID-19 Lockdown |
| title_full_unstemmed | Indicative Lake Water Quality Assessment Using Remote Sensing Images-Effect of COVID-19 Lockdown |
| title_short | Indicative Lake Water Quality Assessment Using Remote Sensing Images-Effect of COVID-19 Lockdown |
| title_sort | indicative lake water quality assessment using remote sensing images effect of covid 19 lockdown |
| topic | water pollution COVID-19 remote sensing chromaticity Forel-Ule Color Index excitation purity |
| url | https://www.mdpi.com/2073-4441/13/1/73 |
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