Modeling groundwater probability index in Ponnaiyar River basin of South India using analytic hierarchy process

There are many factors that influence the formation and development of floods, such as rainfall, soil, slope, land cover, drainage, and density. Therefore, a quantitative assessment of their importance is necessary, especially in the determination of flood risk zones, using the Analytic Hierarchy Process algorithm and Geographic Information System. In comparison with other methodologies, an obvious advantage of Analytic Hierarchy Process is the ability to solve multi-variable qualitative and quantitative problems with precise and trustworthy results. This paper presents the application of the Analytic Hierarchy Process algorithm in analyzing and evaluating the level at which various criteria affect flood risk in the Lam River basin. Some of the flood-causative factors considered in this paper are annual rainfall, soil, slope, land cover, drainage density, and relative slope length. These factors were chosen based on the physical conditions of the study area. The research results are the weight of different criteria. The higher the weight, the higher the effect of that criterion on flood risk. The computed weights show that annual rainfall and slope are the factors that contribute the most to flooding, based on decision-makers’ judgement. The results of this article can be used to construct a flood risk zoning map and flood susceptibility map for flood warnings in the Lam River basin, using the Analytic Hierarchy Process method and Geographic Information System technology. New research shows that Analytic Hierarchy Process can be trustworthy when assessing the level of influence of the different factors on determining flood-prone areas in the Lam River basin, as well as other basins.

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Ecosystem Health of the Beiyun River Basin (Beijing, China) as Evaluated by the Analytic Hierarchy Process Method

10.21203/rs.3.rs-367201/v1 ◽

2021 ◽

Author(s):

Qianhui Yuan ◽

Huihui Wu ◽

Yunqiang Zhao ◽

Yuhang Zhang ◽

Ruihua Yao ◽

...

Keyword(s):

Water Quality ◽

Health Status ◽

Analytic Hierarchy Process ◽

River Basin ◽

Ecosystem Health ◽

Weak Links ◽

Health Evaluation ◽

Ecosystem Structure ◽

Analytic Hierarchy ◽

Hierarchy Process

Abstract Ecosystem services provided by river ecosystems rely on healthy ecosystem structure and ecological processes. The Beijing-Tianjin-Hebei urban is a typical water-deficient area. As an important part of the urban-rural integration construction, evaluating the health status of the Beiyun River Basin and discovering the weak links in the water environment is the basis for improving the health of the basin. In this study, Analytic Hierarchy Process was used to establish an evaluation index system for the Beiyun River Basin from 5 aspects including water quality, biology, habitat, hydrology, and social functions, and to assign weights to the index layer. The evaluation results showed that the health evaluation results of the Beiyun River Basin in 2019 are “sub-healthy”, and the overall health status is gradually worsening from northwest to southeast. In the middle reaches of the region, the evaluation result is "healthy", followed by the upstream, and the downstream is the worst. The results showed that areas with less human interference are in better health. The factors that affect the overall health evaluation status in the basin are the level of nutrition, biodiversity, and vegetation coverage. For the comprehensive management of the Beiyun River, the improvement of water quality and habitat ecological restoration is the key to the health of the upstream ecosystem health status. The improvement of the health status of the downstream should focus on equal emphasis on water quality and quantity, restoration of biodiversity, and improvement of the quality of the riparian ecological environment.

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Active tectonics of the Gharasu river basin in Zagros, Iran, investigated by calculation of geomorphic indices and group decision using analytic hierarchy process (AHP) software

Episodes ◽

10.18814/epiiugs/2016/v39i1/89235 ◽

2016 ◽

Vol 39 (1) ◽

pp. 39-44 ◽

Cited By ~ 8

Author(s):

Zahra Aram ◽

Mehran Arian

Keyword(s):

Analytic Hierarchy Process ◽

River Basin ◽

Group Decision ◽

Active Tectonics ◽

Analytic Hierarchy ◽

Geomorphic Indices ◽

Hierarchy Process

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Assessment of plain river ecosystem function based on improved gray system model and analytic hierarchy process for the Fuyang River, Haihe River Basin, China

Ecological Modelling ◽

10.1016/j.ecolmodel.2013.07.023 ◽

2013 ◽

Vol 268 ◽

pp. 37-47 ◽

Cited By ~ 26

Author(s):

Tao Yang ◽

Jingling Liu ◽

Qiuying Chen

Keyword(s):

Analytic Hierarchy Process ◽

River Basin ◽

Ecosystem Function ◽

System Model ◽

Haihe River Basin ◽

River Ecosystem ◽

Haihe River ◽

Analytic Hierarchy ◽

Gray System ◽

Hierarchy Process

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ANÁLISE DA SUSCETIBILIDADE E VULNERABILIDADE À EROSÃO HÍDRICA PELO PROCESSO ANALÍTICO HIERÁRQUICO (AHP)

Revista Eletrônica de Gestão e Tecnologias Ambientais ◽

10.9771/gesta.v9i1.37588 ◽

2021 ◽

Vol 9 (1) ◽

pp. 1

Author(s):

Marianne Silva Santos ◽

Paulo Sérgio De Rezende Nascimento

Keyword(s):

Analytic Hierarchy Process ◽

River Basin ◽

Management Practices ◽

Water Erosion ◽

Significant Loss ◽

Analytic Hierarchy ◽

Sao Francisco River ◽

São Francisco River ◽

Starting Point ◽

Hierarchy Process

A determinação da potencialidade à erosão hídrica é o ponto de partida para minimizar os processos de degradação do solo e a perda da biodiversidade. As geotecnologias apresentam-se como ferramentas de suporte no diagnóstico e prognóstico ambiental, a partir da análise espacial dos processos erosivos. Dessa forma, o objetivo deste estudo foi aplicar a análise multicriterial para determinar a suscetibilidade e vulnerabilidade à erosão hídrica da Bacia Hidrográfica do Rio São Francisco no estado de Sergipe. O principal procedimento empregado foi o Processo Analítico Hierárquico (AHP), cujos critérios utilizados foram: erodibilidade, erosividade, hipsometria, declividade e cobertura do solo. Os resultados obtidos foram um aumento expressivo das áreas que apresentaram suscetibilidade erosiva moderadamente baixa, moderadamente alta e alta. Por outro lado, as áreas com vulnerabilidade erosiva muito baixa e baixa foram maiores do que as áreas suscetíveis à erosão. Foi possível concluir que a Bacia Hidrográfica do Rio São Francisco apresentou, predominantemente, baixo potencial à vulnerabilidade erosiva em função das práticas adequadas de manejo nas áreas de pastagens. Entretanto, é fundamental a recomposição da vegetação ciliar e o reflorestamento dos biomas Caatinga e Mata Atlântica, visto que houve uma perda significativa da vegetação nativa.Palavras-chave: Erosão do solo; conservação do solo; sistema de manejo do pastejo. ANALYSIS OF SUSCEPTIBILITY AND VULNERABILITY TO WATER EROSION BY ANALYTIC HIERARCHY PROCESS (AHP)AbstractDetermining the potential for water erosion is the starting point for minimizing soil degradation processes and loss of biodiversity. Geotechnologies are presented as support tools in environmental diagnosis and prognosis based on the spatial analysis of erosive processes. Thus, the objective of this study was to apply multicriterial analysis to determine the susceptibility and vulnerability to water erosion in the São Francisco River Basin in the state of Sergipe. The main procedure used was the Analytic Hierarchy Process (AHP), whose criteria used were erodibility, erosivity, hypsometry, slope and soil cover. The results obtained were a significant increase in areas that presented moderately low, moderately high and high erosive susceptibility. In opposition, areas with very low and low erosive vulnerability were greater than areas susceptible to erosion. It was possible to conclude that the São Francisco River Basin presented, predominantly, low potential to erosive vulnerability due to the adequate management practices in the pasture areas. However, the restoration of riparian vegetation and the reforestation of the Caatinga and Atlantic Forest biomes are essential, since there was a significant loss of native vegetation.Keywords: Soil erosion; soil conservation; grazing management system.

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