Land-Use/Land-Cover Change Dynamics and Groundwater Quality in and around Shrimp Farming Area in Coastal Watershed, Cuddalore District, Tamil Nadu, India

Rekha, P. Nila; Gangadharan, R.; Palaniappan, Ravichandran; Dharshini, Shirley; Clarke, Wilmart; Pillai, S. M.; Panigrahi, A.; Ponniah, A. G.

doi:10.18520/cs/v113/i09/1763-1770

Cited by 3 publications

(3 citation statements)

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“…Land use and water quality changes can be influenced by anthropogenic activities, such as industrialization, urbanization, and mining [7,8]. These patterns of LULC are thought to have a substantial impact on groundwater quality [9,10]. The US Geological Survey (USGS) investigated the impact of changing land conditions on local groundwater quality to establish a correlation between the LULC and groundwater quality in 1984.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Land Use Land Cover Changes and Future Predictions Using CA-ANN Simulation for Selangor, Malaysia

Baig

Mustafa

Baig

et al. 2022

Water

107

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Land use land cover (LULC) has altered dramatically because of anthropogenic activities, particularly in places where climate change and population growth are severe. The geographic information system (GIS) and remote sensing are widely used techniques for monitoring LULC changes. This study aimed to assess the LULC changes and predict future trends in Selangor, Malaysia. The satellite images from 1991–2021 were classified to develop LULC maps using support vector machine (SVM) classification in ArcGIS. The image classification was based on six different LULC classes, i.e., (i) water, (ii) developed, (iii) barren, (iv) forest, (v) agriculture, and (vi) wetlands. The resulting LULC maps illustrated the area changes from 1991 to 2021 in different classes, where developed, barren, and water lands increased by 15.54%, 1.95%, and 0.53%, respectively. However, agricultural, forest, and wetlands decreased by 3.07%, 14.01%, and 0.94%, respectively. The cellular automata-artificial neural network (CA-ANN) technique was used to predict the LULC changes from 2031–2051. The percentage of correctness for the simulation was 82.43%, and overall kappa value was 0.72. The prediction maps from 2031–2051 illustrated decreasing trends in (i) agricultural by 3.73%, (ii) forest by 1.09%, (iii) barren by 0.21%, (iv) wetlands by 0.06%, and (v) water by 0.04% and increasing trends in (vi) developed by 5.12%. The outcomes of this study provide crucial knowledge that may help in developing future sustainable planning and management, as well as assist authorities in making informed decisions to improve environmental and ecological conditions.

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Section: Introductionmentioning

confidence: 99%

Assessment of Land Use Land Cover Changes and Future Predictions Using CA-ANN Simulation for Selangor, Malaysia

Baig

Mustafa

Baig

et al. 2022

Water

107

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“…Aquaculture is one of the important coastal activities in developing countries regarding alleviating poverty and generation of wealth. World aquaculture production during 2013 was 97.2 million tonnes with an estimated total value of US$157 billion (Rekha et al 2017). In India, shrimp aquaculture has shown a rapid growth in the last decade and expanded from 65,100 ha in 1990 to 1, 91,074 ha in [2005][2006], and the average annual growth rate is about 10% since 1984.…”

Section: Introductionmentioning

confidence: 99%

“…A continuous monitoring of the groundwater in shrimp farming does not impact the groundwater quality, and it mainly depends upon the natural process (Rekha et al 2015;Gangadharan et al 2016). GIS and remote sensing offer a better option to evaluate the impact on both spatial and temporal variabilities in the study area for assessing the groundwater quality and land-use changes in and around shrimp farming area (Rekha et al 2017). In coastal aquifer, the hydrogeochemistry of the groundwater varies seasonally and spatially, depending on the influence of lithology, nature of geochemical reactions, velocity and quantity of groundwater flow, solubility of salts and human activities (Janardhana Raju 2006).…”

Section: Introductionmentioning

confidence: 99%

Impacts of culture-wise shrimp farming activities on hydrogeochemistry: a case study from Chidambaram taluk, Cuddalore district, Tamil Nadu, India

Rajendran

Peter

2019

Appl Water Sci

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Shrimp farming is one of the most important aquaculture practices in terms of area, production, employment and foreign exchange generation in India. In recent years, the growth and intensification of shrimp farms in the study area have been explosive, and setting up of new shrimp farms along the coastal areas has also become a matter of apprehension among the environmentalists. An extensive survey made by environmentalists elsewhere shows mixed opinion, but ascertains the real scenario as facts. A total of about 46 groundwater samples were collected in five phases: pre-culture, summer culture, immediately after summer harvest (IASH), winter culture and immediately after winter culture, respectively. The results revealed that the high value of TDS, Na, Cl and Br is observed in IASH, and also, the spatial distribution map confirmed that higher concentration is observed near to the creek and sea. Moreover, the abundance of these ions is in the following order: Na > Ca > Mg > k and Cl > HCO 3 > SO 4 > CO 3 > NO 3 > Br for different culture periods, respectively. Piper diagram depicts that the groundwater was controlled by ion exchange reactions. Further, Chadha's classification revealed that the reverse ion exchange was the dominated feature, and it is supported by various ionic indices such as Na/Cl versus EC, (Ca + Mg) versus (SO 4 + HCO 3), (Na-Cl) versus (Ca + Mg-HCO 3-SO 4), (Ca + Mg) versus Cl and Na/Cl versus Cl, respectively. The result of factor analysis shows that most of the variations are elucidated by the seawater intrusion, rock-water interactions and anthropogenic activities during different culture periods. The spatial distribution map of factor scores clearly delineates that the positive values are observed near to the creek and sea and in that, shrimp farming area is not predominated. R-mode cluster analysis shows that groundwater quality does not vary extensively as a function of culture periods. Moreover, Q-mode classification consists of two clusters: the first cluster has a high saline water concentration comprising samples location near to the creek and sea. The second cluster mainly depends upon rock-water interactions and the majority of shrimp farming area are grouped under these categories. The above statements clearly indicate that groundwater parameters mainly depend upon the geological process and that shrimp farming cannot be targeted as the root cause for groundwater salinization.

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Relationships of groundwater quality and associated health risks with land use/land cover patterns: A case study in a loess area, Northwest China

2019

Human and Ecological Risk Assessment: An International Journal

118

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Land-Use/Land-Cover Change Dynamics and Groundwater Quality in and around Shrimp Farming Area in Coastal Watershed, Cuddalore District, Tamil Nadu, India

Cited by 3 publications

References 0 publications

Assessment of Land Use Land Cover Changes and Future Predictions Using CA-ANN Simulation for Selangor, Malaysia

Assessment of Land Use Land Cover Changes and Future Predictions Using CA-ANN Simulation for Selangor, Malaysia

Impacts of culture-wise shrimp farming activities on hydrogeochemistry: a case study from Chidambaram taluk, Cuddalore district, Tamil Nadu, India

Relationships of groundwater quality and associated health risks with land use/land cover patterns: A case study in a loess area, Northwest China

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