Data sets on spatial analysis of hydro geochemistry of Gudur area, SPSR Nellore district by using inverse distance weighted method in Arc GIS 10.1

Golla, Veeraswamy; Nagaraju, A.; Etikala, Balaji; Sreedhar, Y.; Narasimhlu, K; Harish, Padh

doi:10.1016/j.dib.2019.01.030

Cited by 16 publications

(3 citation statements)

References 7 publications

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“…Spatial analysis is the process of manipulating spatial information to extract new information and meanings from the original data (Golla et al 2019). The geostatistical interpolation method was used to determine the spatial distribution of rainfall in the catchment.…”

Section: Spatial Analysis Of Rainfallmentioning

confidence: 99%

Spatial distribution and estimation of rainfall trends and erosivity in the Epitácio Pessoa reservoir catchment, Paraíba, Brazil

et al. 2020

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The main goals of this study are to better understand the spatial and temporal variabilities in rainfall and to identify rainfall trends and erosivity for the period from 1963 to 1991 in the Epitácio Pessoa reservoir catchment, which is located in Paraíba, northeastern Brazil. This study analyzes annual rainfall trends on a regional scale by using monthly data from 13 rainfall stations. For this purpose, the nonparametric Mann–Kendall and Sen methods were used in the analysis. Descriptive statistics methods and interpolation techniques were also used for spatial–temporal analysis of the annual rainfall. A detailed statistical analysis applied to the time series of all the stations indicates that the rainfall presents substantial annual spatial–temporal variability and a negative trend (decrease) in the mean rainfall at most of the rainfall stations in the catchment during the study period. The results only showed a positive trend for the Soledade and Pocinhos stations. The distribution of positive and negative trends in the Epitácio Pessoa reservoir catchment is extremely irregular, and the changes in the study area are more significant compared to those identified in other studies. Graphic abstract

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Section: Spatial Analysis Of Rainfallmentioning

confidence: 99%

Spatial distribution and estimation of rainfall trends and erosivity in the Epitácio Pessoa reservoir catchment, Paraíba, Brazil

et al. 2020

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“…Multivariate statistical approaches can be used to assess large freshwater quality datasets with a minimum loss of information [29,30], which is valuable for quickly characterization of the contamination [31,32]. Some researchers [33][34][35][36] have combined GIS techniques with multivariate statistical approaches to define freshwater quality; others have combined statistical techniques, GIS, and WQI. Many scientists have investigated the properties of water hydrochemistry and the main mechanisms of regulation of freshwater hydrochemistry [37][38][39][40].…”

Section: Introductionmentioning

confidence: 99%

Interactions Evaluation between the Jouamaa Hakama Groundwater and Ouljat Echatt River in the North of Morocco, Using Hydrochemical Modeling, Multivariate Statistics and GIS

Azzirgue

Cherif

Azhari

et al. 2023

Water

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The processed discharges from Tangier Automotive City’s (TAC) Chrafate Wastewater Treatment Plant (WWTP) contaminate the Jouamaa Hakama groundwater and the Ouljat Echatt river. We aimed to study the unknown interactions between surface water (SW) and groundwater (GW). A total of nine Jouamaa Hakama GW samples and eleven Ouljat Echatt SW samples were taken and analyzed in 2021 and 2022 to determine 16 physical and chemical parameters (pH, temperature (T), electrical conductivity (EC), dissolved oxygen (DO), total hardness (TH), turbidity (TURB), and total dissolved solids (TDS), cations: Na+, K+, Mg2+ and Ca2+, anions: Cl−, CO32−, HCO3−, NO3−, and SO42−). For exploitation of the data, we used a methodology based on hydrochemical modeling (HM), principal component analysis (PCA), Water Quality Index (WQI), Irrigation Water Quality Index (IWQI), inverse distance weighted interpolation (IDW) using Geographic Information Systems (GIS), and regression analysis (RA). We studied the interaction of the surface water of the river (contaminated by discharges from the WWTP) with the shallow groundwater on a strip of 100 m on either side of the river to understand the transverse and longitudinal dispersion of this pollution The investigations indicated that the major ions found in GW and SW were characterized in a different order in the anion list order Cl− > CO32− > NO3− > HCO3− > SO42− and Cl− > SO42− > CO32− > NO3− > HCO3−, respectively, while the concentrations of cations showed the same order for both: Na+ > Ca2+ > Mg2+ > K+. As a result, GW showed in the Piper diagram the type of sodium chloride to magnesium carbonate, while SW belongs to the sodium chloride to magnesium sulfate type. The WQI showed that the river waters are all unsuitable for use (WQI > 100), while the GW is of poor quality (WQI > 76). Moreover, the results of the GW–SW interaction along the river revealed a significant relationship (R² = 0.85), which means that strong circulation and the infiltration of contaminated SW into shallow GW occur in this area. The approaches followed have been proven effective in evaluating water quality for human and animal uses. These results can help decision-makers in the region take suitable management measures to mitigate this environmental problem.

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“…The primary source of drinking water is groundwater. In comparison to surface water, underground water is clean and pollution-free (Arveti, et al, 2019). The overuse of pesticides and fertilizers, rising human activity, and the fast development of industry have all contributed to the contamination of groundwater.…”

Section: Introductionmentioning

confidence: 99%

Groundwater quality assessment for drinking, irrigation, and human health hazards with special emphasis on Nitrate pollution in Uddanam area, Srikakulam district of Andhra Pradesh, India

naik

Balaji

et al. 2022

Preprint

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This study's goal is to evaluate the Uddanam region's groundwater quality for drinking, agricultural use, and potential health risks to people, with a focus on nitrates. From the research region, 50 groundwater samples were taken in both pre- and post-monsoons and analyzed for pH, EC, TDS, TH, TA, Ca2+, Mg2+, Na+, K+, CO3, HCO3−, Cl−, SO42−, NO3−, F−, and Si, among other physic-chemical parameters, TDS, total hardness, nitrates and silica are the highest ions among all chemical parameters. May's findings indicate that kidney illness is a result of higher above said parameters. In addition, the chemical data intensity is represented using spatial interpolation techniques in Arc GIS 10.1 software, and intensity maps of the research region are prepared. The irrigation metrics salt absorption ratio (SAR), Kelley's ratio (KR), and percent sodium (%Na) are all within the research area's allowed limits.In the study area, pre and post-monsoon nitrate total hazard index (children, men, and women) affected percentages are 94%, 53%, 37% and 94%, 51%, 29% respectively, whereas the dermal there is no significant effect on the human body. The Gibbs diagram shows that the disintegration of rock formations is responsible for the groundwater chemistry and is further supported by scatter plots. Chemical elements are generated in the study due to geology such as Khondalite and alluvial soil disintegration. The excess silica percentage may lead to affect kidney-born disease in the study area and hence adequate water treatment is required prior to use.

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Data sets on spatial analysis of hydro geochemistry of Gudur area, SPSR Nellore district by using inverse distance weighted method in Arc GIS 10.1

Cited by 16 publications

References 7 publications

Spatial distribution and estimation of rainfall trends and erosivity in the Epitácio Pessoa reservoir catchment, Paraíba, Brazil

Spatial distribution and estimation of rainfall trends and erosivity in the Epitácio Pessoa reservoir catchment, Paraíba, Brazil

Interactions Evaluation between the Jouamaa Hakama Groundwater and Ouljat Echatt River in the North of Morocco, Using Hydrochemical Modeling, Multivariate Statistics and GIS

Groundwater quality assessment for drinking, irrigation, and human health hazards with special emphasis on Nitrate pollution in Uddanam area, Srikakulam district of Andhra Pradesh, India

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