A multi-parametric study of the interaction between the Parati river and Babitonga Bay in terms of water quality

Gueretz, Juliano Santos; Silva, Filipe A. Da; Simionatto, Edésio Luiz; Férard, Jean-François; Radetski, Claudemir M.; Somensi, Cléder A.

doi:10.1080/03601234.2019.1685813

Cited by 12 publications

(6 citation statements)

References 16 publications

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“…The application of the geographical information system (GIS) has brought a very important approach in this field and the possibility to analyze many parameters (Mahato and Pal, 2019;Shailaja et al, 2019;Chen et al, 2019;Gueretz et al, 2019). Most of the research studies with GIS application were based on knowledge of factors analysis that uses different layers including drainage, elevation, geology, land use and land cover, lineament, rainfall, slope, and soil.…”

Section: Introductionmentioning

confidence: 99%

“…According to Shailaja et al, (2019) using remote sensing (RS) has benefited from combining primary and numeral data-set. A decisive role in the compilation and analysis of the synoptic scale is also played by the use of remote sensing (Mahato and Pal, 2019; Chen et al, 2019; Gueretz et al 2019). The application of satellite RS techniques and image processing are mainly used in studies for preparing the needful layers for study.…”

Section: Introductionmentioning

confidence: 99%

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Identification of Groundwater Potential Zones Using Remote Sensing, Geographical Information System, and Analytic Hierarchy Process Techniques – A Case Study in the Nerodime Watershed, Kosovo

Avdullahi¹,

Hajra²

2023

Ecol. Eng. Environ. Technol.

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This research was carried out to analyse the groundwater potential areas in the Nerodime River catchment area. This paper used the standard methodology to determine the potential areas of groundwater resources based on the combated remote sensing, geographic information system, and hierarchical analytical process. In this river catchment area, a total of eight groups of criteria have been selected which have an impact on groundwater storage. Groundwater research would not be possible without the use of various data that have a direct impact on groundwater such as drainage, elevation, geology, land use and land cover, lineament, rainfall, slope, and soil. The results obtained through statistical analysis with software were compared with the data collected in the field, a comparison which resulted in an accuracy of approximately 95%. The results are reflected in table form and using maps also prepared with ArcGIS software.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Identification of Groundwater Potential Zones Using Remote Sensing, Geographical Information System, and Analytic Hierarchy Process Techniques – A Case Study in the Nerodime Watershed, Kosovo

Avdullahi¹,

Hajra²

2023

Ecol. Eng. Environ. Technol.

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“…The combining of basic and numerical data sets has been created by remote sensing (RS) and geographic information systems (GIS) (Shailaja et al 2019;Qadir et al, 2019). Remote sensing has played a crucial role in the natural resources mapping and analysis at regional scales (Gueretz et al, 2019). A grouping of remote sensing and GIS technologies information is evaluated and used to designate and evaluate potential groundwater places (Mahato et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Assessment of Groundwater Potential Zone mapping approach for semi-arid environments using GIS-based Analytical Hierarchy Process (AHP) and Multiple Influence Factors (MIF) and multi-criteria decision analysis (MCDA) techniques in Buchakewadi Watershed, Maharashtra, India

Shinde¹,

Barai²,

Gavit³

et al. 2022

Preprint

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Groundwater is an essential factor in the aquifer recharging and management for the drinking, irrigation, and economy. Currently unpredictable rainfall due to climate change and pollution on the earth's surface, these problems directly affect the demand for groundwater in the more affected area of the globe. In this study, we have selected two methods such as Analytical Hierarchy Process (AHP) and Multiple Influence Factors (MIF), which would be applied for the groundwater potential zone maps. We have been prepared the nine thematic layers such as LULC, geomorphology, soil, drainage density, slope, lineament density, elevation, groundwater level, and geology maps using remote sensing and GIS techniques. These layers are integrated in the Arc GIS software with the help of AHP and MIF methods. We were identified into four classes, i.e., Poor, Moderate, Good, and Very Good based on AHP and MF methods. The groundwater potentials zones area is 241.50 (ha.). Poor, 285.64 (ha.) moderate, 408.31 (ha.) good, and 92.75 (ha.) very good using AHP method. However, the other groundwater potential zones area is shown as 351.29 (ha.) poor, 511.18 (ha.), moderate, 123.95 (ha.) good, and 41.78 (ha.) very good using MIF method. Both the groundwater potential zone maps have been validated with the water yield data using Arc GIS software 10.8. The ROC and AUC models' results are found to be 0.80 (good) and 0.93 (excellent) using MIF and AHP methods, respectively. The main purpose of this study is to identify the best method for demarcated the groundwater potential zone map, which method is better for preparation of watershed planning, and groundwater development policy, specific in basaltic rock and drought condition. The present study's framework 84work and results will be valuable to improving the efficiency of irrigation, conservation of rain water and maintain the ecosystem in India.

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“…Remote sensing (RS) and geographical information system (GIS) have benefited from joining together primary and numeral data-set (Burrough 1986;Shailaja et al 2019). Remote sensing has played a vital role to map and analysis at synoptic scales (Mahato et al 2019;Chen et al 2019;Gueretz et al 2019). A combination of geospatial technologies datasets was processed in the RS and GIS software and used to delineate and interpret the suitable groundwater areas (Mahato et al 2018;Qadir et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Delineation of groundwater potential zones for sustainable development and planning using analytical hierarchy process (AHP), and MIF techniques

et al. 2021

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Groundwater plays a vital role in the sustainable development of agriculture, society and economy, and it's demand is increasing due to low rainfall, especially in arid and semiarid regions. In this context, delineation of groundwater potential zones is essential for meeting the demand of different sectors. In this research, the integrated approach consisting of analytical hierarchy process (AHP), multiple influence factors (MIF) and receiver operating characteristics (ROC) was applied. The demarcation of groundwater potential zones is based on thematic maps, namely Land Use/Land Cover (LULC), Digital Elevation Model (DEM), hillshade, soil texture, slope, groundwater depth, geomorphology, Normalized Difference Vegetation Index (NDVI), and flow direction and accumulation. The pairwise comparison matrix has been created, and weights are assigned to each thematic layer. The comparative score to every factor was calculated from the overall weight of two major and minor influences. Groundwater potential zones were classified into five classes, namely very poor, poor, moderate, good and very good, which cover an area as follows: 3.33 km2, 785.84 km2, 1147.47 km2, 595.82 km2 and 302.65 km2, respectively, based on AHP method. However, the MIF groundwater potential zones map was classified into five classes: very poor, poor, moderate, good and very good areas covered 3.049 km2, 567.42 km2, 1124.50 km2 868.86 km2 and 266.67 km2, respectively. The results of MIF and AHP techniques were validated using receiver operating characteristics (ROC). The result of this research would be helpful to prepare the sustainable groundwater planning map and policy. The proposed framework has admitted to test and could be implemented in different in various regions around the world to maintain the sustainable practices.

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A multi-parametric study of the interaction between the Parati river and Babitonga Bay in terms of water quality

Cited by 12 publications

References 16 publications

Identification of Groundwater Potential Zones Using Remote Sensing, Geographical Information System, and Analytic Hierarchy Process Techniques – A Case Study in the Nerodime Watershed, Kosovo

Identification of Groundwater Potential Zones Using Remote Sensing, Geographical Information System, and Analytic Hierarchy Process Techniques – A Case Study in the Nerodime Watershed, Kosovo

Assessment of Groundwater Potential Zone mapping approach for semi-arid environments using GIS-based Analytical Hierarchy Process (AHP) and Multiple Influence Factors (MIF) and multi-criteria decision analysis (MCDA) techniques in Buchakewadi Watershed, Maharashtra, India

Delineation of groundwater potential zones for sustainable development and planning using analytical hierarchy process (AHP), and MIF techniques

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