Hydrochemical evaluation of surface water quality of Sutlej river using multi-indices, multivariate statistics and GIS

Setia, Raj; Lamba, Shaveta; Chander, Shard; Kumar, Vinod; Dhir, Nitin; Sharma, Manoj; Singh, Randhir

doi:10.1007/s12665-021-09875-1

Cited by 17 publications

(9 citation statements)

References 52 publications

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“…Setia et al put forward a new "self-network format" landscape preference analysis model of rural cultural tourism tourists through the research and analysis of the differences of different rural cultural tourisms in the reception of tourists and verified that the "self-network format" analysis model has good matching feature efficiency through experiments on several different types of tourism tourist groups. It has good reliability in the analysis of landscape preference of rural cultural tourism tourists [12]. In order to improve the reliability and social value of the landscape preference of rural cultural tourism tourists, Ahmed et al put forward a landscape preference analysis rule of rural cultural tourism tourists with high social value, which can effectively improve the speed of preference analysis according to the characteristics of tourist visiting routes of different rural cultural tourism scenic spots in different seasons, with the idea of high group nonvalue statistical method in physical space as the core [13].…”

Section: State Of the Artmentioning

confidence: 99%

Landscape Preference of Rural Cultural Tourism Tourists Based on GIS Spatial Statistical Technology and Emotion Analysis

Yang

2022

Security and Communication Networks

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How to combine GIS spatial statistics technology to realize the intelligent and efficient classification of tourists’ landscape preferences is a hot spot in the direction of rural cultural tourism. Based on this, this paper studies the emotion analysis strategy based on GIS spatial statistical method in the field of landscape preference of rural cultural tourism tourists. Firstly, an intelligent and efficient classification model based on remote sensing discrete expansion algorithm is proposed. Combined with the observation strategy of common emotional rules in the landscape preference analysis of rural cultural tourism tourists, the landscape preference of rural cultural tourism tourists is processed with high quantitative emotional information, so as to realize the intelligent separation of preference, and then the error of discrete remote sensing data expansion model is corrected. Secondly, the judgment function of emotional rules is constructed, and the commonly used data layer-driven decentralized method is used in preference classification to eliminate the secondary factors in the landscape preference analysis of rural cultural tourism tourists. At the same time, the remote sensing discrete expansion algorithm is used to optimize and improve the emotional rules of high-volume emotional information based on GIS spatial statistical method. Finally, through the design of confirmatory experiments, the results show that the landscape preference analysis model based on GIS spatial statistics method and remote sensing discrete expansion algorithm is more efficient than the conventional preference classification method.

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Section: State Of the Artmentioning

confidence: 99%

Landscape Preference of Rural Cultural Tourism Tourists Based on GIS Spatial Statistical Technology and Emotion Analysis

Yang

2022

Security and Communication Networks

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“…During pre-monsoon and post-monsoon, the average value of temperature was 30.3 °C, and 27.4 °C respectively. The mean value of pH in pre-monsoon and post-monsoon monsoon is ∼7.9, indicating alkaline water like other Indian rivers (Sarkar & Islam 2019;Setia et al 2021), and it is within the acceptable limit for drinking as per BIS, 2012 (Table 1; Figure 2(b)).…”

Section: Physicochemical Characteristics Of Water Samplesmentioning

confidence: 87%

Mechanisms controlling major ion chemistry and its suitability for irrigation of Narmada River, India

et al. 2021

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Surface water chemistry of the upper Narmada River was investigated at 13 different locations for 4 consecutive years (2017 to 2020) during pre- and post-monsoon seasons. The main objective of the study was to identify the processes governing the water chemistry of Narmada River and evaluate its suitability for irrigation. The physical parameters estimated were; pH (7.9 ± 0.4 for pre- and 8 ± 0.4 for post-monsoon seasons), EC (322.8±93.3 μS/cm for pre- and 312.1±80.2 μS/cm for post-monsoon) and TDS (203.4±41.5 mg/L for pre-and 213.4±48 mg/L for post-monsoon). The obtained concentration of cations and anions were in the order of Ca++ > Na+ > Mg++> K+ and HCO3−> Cl−>SO4−> NO3−> PO4− respectively. Thus, the water of Narmada was found to be alkaline in nature. Piper diagram inferred that the water was dominated by Ca-Mg-HCO3− type of hydrochemical faces. Gibb's plot clarified that rock-water interaction regulates the ion chemistry of the Narmada. Various indices like sodium percentage (Na%), sodium absorption ration (SAR), Kelly index (Ki), permeability index (PI), magnesium hazard (MH) was calculated which showed that the surface water was suitable for irrigation. Lastly, one-way ANOVA (p < 0.05) confirmed no significant differences in water quality except for temperature, EC and SO4−, for pre- and post-monsoon season.

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“…Se determinaron parámetros fisicoquímicos como dureza total (DOF, 2001a), sólidos disueltos totales (SDT) (DOF, 2015a) y alcalinidad total (DOF, 2001b) A partir de los resultados sobre la caracterización fisicoquímica del agua, se realizó una modelación de la especiación química de los elementos traza encontrados mediante el programa Visual Minteq 3.1 y se construyeron diagramas de Piper y Schöeller con el programa AquaChem 10 para conocer las facies hidroquímicas del agua de estudio. Adicionalmente, se calcularon diversos índices para conocer la idoneidad del agua utilizada para riego agrícola, como Relación de Adsorción de Sodio (RAS) (Bashir et al, 2020), porcentaje de sodio (% Na) (Setia et al, 2021), índice de Kelly (IK) (Setia et al, 2021), carbonato de sodio residual (CSR) (Shil et al, 2019) y riesgo por salinidad (RS) (Zhang et al, 2020). Se calculó el ICA propuesto por Montoya et al (1997) y aprobado por la CONA-GUA, con la finalidad de conocer la conveniencia de esta agua para uso potable.…”

Section: Técnicas De Mediciónunclassified

Evaluación de la calidad del agua de manantiales ubicados en la comunidad El Platanal, Michoacán, México

Reyes

Villanueva

Vázquez-Mejía

et al. 2022

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Se evaluó la calidad del agua de seis manantiales que abastecen de agua potable y riego agrícola a la comunidad El Platanal, en Michoacán. Se realizaron dos campañas de colecta, (estiaje y precipitación pluvial). Se evaluaron parámetros fisicoquímicos, microbiológicos y elementos traza. El tipo de agua predominante en la zona fue Ca2+-HCO3-. Se encontraron concentraciones de Fe (0.8 mg/L) superiores a los límites máximos permisibles por las normas mexicanas para agua potable. El sitio (S6) presentó las concentraciones más elevadas de algunos parámetros (NO3-, PO43-, coliformes fecales). El cálculo del Índice de Calidad del Agua (ICA) mostró que el agua en el área de estudio no es apta para uso potable, pero sí para riego agrícola.

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Hydrochemical evaluation of surface water quality of Sutlej river using multi-indices, multivariate statistics and GIS

Cited by 17 publications

References 52 publications

Landscape Preference of Rural Cultural Tourism Tourists Based on GIS Spatial Statistical Technology and Emotion Analysis

Landscape Preference of Rural Cultural Tourism Tourists Based on GIS Spatial Statistical Technology and Emotion Analysis

Mechanisms controlling major ion chemistry and its suitability for irrigation of Narmada River, India

Evaluación de la calidad del agua de manantiales ubicados en la comunidad El Platanal, Michoacán, México

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