Spatio-temporal analysis of surface water quality on urban tanks in Coimbatore Article Swipe
Rama V. Ramachandran
,
Balaji Kannan
,
K Sivasubramanian
,
K Arunadevi
,
S. G. Patil
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.14719/pst.5919
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.14719/pst.5919
Effective monitoring and predicting surface water quality are vital for sustainable water resource control. Traditional in-situ techniques are regularly constrained by their time-consuming nature and restrained spatial coverage. This study seeks to develop a predictive version that combines physio-chemical water quality parameters with remote sensing indices derived from the Sentinel-2A dataset to enhance accuracy and spatial attainment. The research focuses on four urban tanks in Coimbatore namely Krishnampathy, Selvampathy, Kumaraswamy and Ukkadam Periyakulam. The physio-chemical parameters for assessing the water quality which include pH, Electrical Conductivity (EC), Total Dissolved Solids (TDS), Dissolved oxygen (DO), Calcium (Ca), Magnesium (Mg), Total hardness, Chloride (Cl-), Carbonate (Co3-) and Bicarbonate (HCo3-) have been measured, additionally for the detection of surface water extent using remote sensing indices namely Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Modified Normalized Difference Water Index (MNDWI), Water Ratio Index, Normalized Difference Chlorophyll Index (NDCI) indices which were extracted from sentinel-2A datasets. The parameters such as EC, TDS, Ca2+, Cl- and Total hardness show a high coefficient of determination (R2). Correlation and regression techniques have been employed to integrate these datasets, resulting in the development of a robust predictive model. By combining these two information sources, the model is constructed using stepwise regression analysis. The model's accuracy turned into established towards ground-truth records, showing large improvements whilst far away Remote sensing indices had been covered.
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Metadata
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All OpenAlex metadata
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https://openalex.org/W4406902345Canonical identifier for this work in OpenAlex
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https://doi.org/10.14719/pst.5919Digital Object Identifier
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Spatio-temporal analysis of surface water quality on urban tanks in CoimbatoreWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-01-28Full publication date if available
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Rama V. Ramachandran, Balaji Kannan, K Sivasubramanian, K Arunadevi, S. G. PatilList of authors in order
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https://doi.org/10.14719/pst.5919Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.14719/pst.5919Direct OA link when available
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Surface water, Water quality, Environmental science, Hydrology (agriculture), Water resource management, Quality (philosophy), Geography, Environmental engineering, Geology, Biology, Ecology, Geotechnical engineering, Physics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.monitoring | 1 |
| abstract_inverted_index.parameters | 41, 75, 155 |
| abstract_inverted_index.predicting | 3 |
| abstract_inverted_index.predictive | 34, 190 |
| abstract_inverted_index.regression | 174, 204 |
| abstract_inverted_index.restrained | 25 |
| abstract_inverted_index.techniques | 16, 175 |
| abstract_inverted_index.Bicarbonate | 105 |
| abstract_inverted_index.Chlorophyll | 144 |
| abstract_inverted_index.Correlation | 172 |
| abstract_inverted_index.Kumaraswamy | 69 |
| abstract_inverted_index.Sentinel-2A | 49 |
| abstract_inverted_index.Traditional | 14 |
| abstract_inverted_index.attainment. | 56 |
| abstract_inverted_index.coefficient | 168 |
| abstract_inverted_index.constrained | 19 |
| abstract_inverted_index.constructed | 201 |
| abstract_inverted_index.development | 186 |
| abstract_inverted_index.established | 211 |
| abstract_inverted_index.information | 196 |
| abstract_inverted_index.sentinel-2A | 152 |
| abstract_inverted_index.sustainable | 10 |
| abstract_inverted_index.Conductivity | 85 |
| abstract_inverted_index.Periyakulam. | 72 |
| abstract_inverted_index.Selvampathy, | 68 |
| abstract_inverted_index.additionally | 110 |
| abstract_inverted_index.ground-truth | 213 |
| abstract_inverted_index.improvements | 217 |
| abstract_inverted_index.determination | 170 |
| abstract_inverted_index.Krishnampathy, | 67 |
| abstract_inverted_index.time-consuming | 22 |
| abstract_inverted_index.physio-chemical | 38, 74 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.0293911 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |