Mapping of tide-dominated Hooghly estuary water quality parameters using Sentinel-3 OLCI time-series data

The study explores the spatio-temporal variation of water quality parameters in the Hooghly estuary, which is considered an ecologically-stressed shallow estuary and a major distributary for the Ganges River. The estimated parameters are chlorophyll-a, total suspended matter (TSM), and chromophoric...

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Main Authors: Bar A.R., Mondal I., Das S., Biswas B., Samanta S., Jose F., Ahmed A.N., Thai V.N.
Other Authors: 58498187100
Format: Article
Published: Springer Science and Business Media Deutschland GmbH 2024
Subjects:
GIS
RS
TSM
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spelling my.uniten.dspace-341112024-10-14T11:18:00Z Mapping of tide-dominated Hooghly estuary water quality parameters using Sentinel-3 OLCI time-series data Bar A.R. Mondal I. Das S. Biswas B. Samanta S. Jose F. Ahmed A.N. Thai V.N. 58498187100 57203930314 55574219016 58497987700 57204034291 21734654200 57214837520 57218169205 CDOM Chlorophyll-a GIS RS Sentinel-3 TSM Chlorophyll A Environmental Monitoring Estuaries Rivers Water Quality Atmospheric thermodynamics Chlorophyll Geographic information systems Remote sensing Water quality chlorophyll a chromophoric dissolved organic matter dissolved organic matter phosphate unclassified drug Chlorophyll a Chromophoric dissolved organic matter Pre-monsoon RS Sentinel-3 Shallow estuary Spatio-temporal variation Time-series data Total suspended matter Water quality parameters chlorophyll a digital mapping estuarine environment parameter estimation time series analysis trace element water chemistry water quality algorithm analytical parameters Article correlation analysis data analysis dredging estuary information retrieval oxygenation rainy season remote sensing satellite imagery spatiotemporal analysis suspended particulate matter time series analysis total suspended matter water monitoring water quality environmental monitoring estuary river water quality Estuaries The study explores the spatio-temporal variation of water quality parameters in the Hooghly estuary, which is considered an ecologically-stressed shallow estuary and a major distributary for the Ganges River. The estimated parameters are chlorophyll-a, total suspended matter (TSM), and chromophoric dissolved organic matter (CDOM). The Sentinel-3 OLCI remote sensing imageries were analyzed for the duration of October 2018 to February 2019. We observed that the water quality of the Hooghly estuaries is comparatively low-oxygenated, mesotrophic, and phosphate-limited. Ongoing channel dredging for maintaining shipping channel depth keeps the TSM in the estuary at an elevated level, with the highest amount of TSM observed during March of 2019 (41.59g m?3) at station A, upstream point. Since the pre-monsoon season, TSM data shows a decreasing trend towards the mouth of the estuary. Chl-a concentration is higher during pre-monsoon than monsoon and post-monsoon periods, with the highest value observed in April at 1.09 mg m?3 in station D during the pre-monsoon period. The CDOM concentration was high in the middle section (January�February) and gradually decreased towards the estuary�s head and mouth. The highest CDOM was found in February at locations C and D during the pre-monsoon period. Every station shows a significant correlation among CDOM, TSM, and Chl-a measured parameters. Based on our satellite data analysis, it is recommended that SNAP C2RCC be regionally used for TSM, Chl-a, and CDOM for water quality product retrieval and in various algorithms for the Hooghly estuary monitoring. � 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG. Final 2024-10-14T03:18:00Z 2024-10-14T03:18:00Z 2023 Article 10.1007/s10661-023-11552-8 2-s2.0-85165331501 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165331501&doi=10.1007%2fs10661-023-11552-8&partnerID=40&md5=36d49f1eeb7a992e13a8df7b1c515fcc https://irepository.uniten.edu.my/handle/123456789/34111 195 8 975 Springer Science and Business Media Deutschland GmbH Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic CDOM
Chlorophyll-a
GIS
RS
Sentinel-3
TSM
Chlorophyll A
Environmental Monitoring
Estuaries
Rivers
Water Quality
Atmospheric thermodynamics
Chlorophyll
Geographic information systems
Remote sensing
Water quality
chlorophyll a
chromophoric dissolved organic matter
dissolved organic matter
phosphate
unclassified drug
Chlorophyll a
Chromophoric dissolved organic matter
Pre-monsoon
RS
Sentinel-3
Shallow estuary
Spatio-temporal variation
Time-series data
Total suspended matter
Water quality parameters
chlorophyll a
digital mapping
estuarine environment
parameter estimation
time series analysis
trace element
water chemistry
water quality
algorithm
analytical parameters
Article
correlation analysis
data analysis
dredging
estuary
information retrieval
oxygenation
rainy season
remote sensing
satellite imagery
spatiotemporal analysis
suspended particulate matter
time series analysis
total suspended matter
water monitoring
water quality
environmental monitoring
estuary
river
water quality
Estuaries
spellingShingle CDOM
Chlorophyll-a
GIS
RS
Sentinel-3
TSM
Chlorophyll A
Environmental Monitoring
Estuaries
Rivers
Water Quality
Atmospheric thermodynamics
Chlorophyll
Geographic information systems
Remote sensing
Water quality
chlorophyll a
chromophoric dissolved organic matter
dissolved organic matter
phosphate
unclassified drug
Chlorophyll a
Chromophoric dissolved organic matter
Pre-monsoon
RS
Sentinel-3
Shallow estuary
Spatio-temporal variation
Time-series data
Total suspended matter
Water quality parameters
chlorophyll a
digital mapping
estuarine environment
parameter estimation
time series analysis
trace element
water chemistry
water quality
algorithm
analytical parameters
Article
correlation analysis
data analysis
dredging
estuary
information retrieval
oxygenation
rainy season
remote sensing
satellite imagery
spatiotemporal analysis
suspended particulate matter
time series analysis
total suspended matter
water monitoring
water quality
environmental monitoring
estuary
river
water quality
Estuaries
Bar A.R.
Mondal I.
Das S.
Biswas B.
Samanta S.
Jose F.
Ahmed A.N.
Thai V.N.
Mapping of tide-dominated Hooghly estuary water quality parameters using Sentinel-3 OLCI time-series data
description The study explores the spatio-temporal variation of water quality parameters in the Hooghly estuary, which is considered an ecologically-stressed shallow estuary and a major distributary for the Ganges River. The estimated parameters are chlorophyll-a, total suspended matter (TSM), and chromophoric dissolved organic matter (CDOM). The Sentinel-3 OLCI remote sensing imageries were analyzed for the duration of October 2018 to February 2019. We observed that the water quality of the Hooghly estuaries is comparatively low-oxygenated, mesotrophic, and phosphate-limited. Ongoing channel dredging for maintaining shipping channel depth keeps the TSM in the estuary at an elevated level, with the highest amount of TSM observed during March of 2019 (41.59g m?3) at station A, upstream point. Since the pre-monsoon season, TSM data shows a decreasing trend towards the mouth of the estuary. Chl-a concentration is higher during pre-monsoon than monsoon and post-monsoon periods, with the highest value observed in April at 1.09 mg m?3 in station D during the pre-monsoon period. The CDOM concentration was high in the middle section (January�February) and gradually decreased towards the estuary�s head and mouth. The highest CDOM was found in February at locations C and D during the pre-monsoon period. Every station shows a significant correlation among CDOM, TSM, and Chl-a measured parameters. Based on our satellite data analysis, it is recommended that SNAP C2RCC be regionally used for TSM, Chl-a, and CDOM for water quality product retrieval and in various algorithms for the Hooghly estuary monitoring. � 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
author2 58498187100
author_facet 58498187100
Bar A.R.
Mondal I.
Das S.
Biswas B.
Samanta S.
Jose F.
Ahmed A.N.
Thai V.N.
format Article
author Bar A.R.
Mondal I.
Das S.
Biswas B.
Samanta S.
Jose F.
Ahmed A.N.
Thai V.N.
author_sort Bar A.R.
title Mapping of tide-dominated Hooghly estuary water quality parameters using Sentinel-3 OLCI time-series data
title_short Mapping of tide-dominated Hooghly estuary water quality parameters using Sentinel-3 OLCI time-series data
title_full Mapping of tide-dominated Hooghly estuary water quality parameters using Sentinel-3 OLCI time-series data
title_fullStr Mapping of tide-dominated Hooghly estuary water quality parameters using Sentinel-3 OLCI time-series data
title_full_unstemmed Mapping of tide-dominated Hooghly estuary water quality parameters using Sentinel-3 OLCI time-series data
title_sort mapping of tide-dominated hooghly estuary water quality parameters using sentinel-3 olci time-series data
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2024
_version_ 1814061104975839232
score 13.214268