A digraph permanent approach to evaluation and analysis of integrated watershed management system

Ratha, Dwarikanath; Agrawal, Vikesh

doi:10.1016/j.jhydrol.2015.03.046

Cited by 17 publications

(6 citation statements)

References 23 publications

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“…The step-by-step methodology [36,37] that is used for developing the GT model is briefly described below:…”

Section: Methodsmentioning

confidence: 99%

“…1, is useful for understanding the structure of the system, with all the noise parameters shown by vertices (S i ) and the directional interactions as edges (e i j ) [36,37] between them by arrows. It is not possible to carry out mathematical operations with this GT representation, to derive meaningful results.…”

Section: Graph Theoretic Model Of the Road Traffic Subsystem (Rts)mentioning

confidence: 99%

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Modelling and Analysis of Urban Traffic Noise System Using Algebraic Graph Theoretic Approach

et al. 2016

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An Urban Traffic Noise System can be considered to consist of various subsystems like Road Traffic Subsystem, Human Subsystem, Environment Subsystem, Traffic Network Subsystem and Urban Prosperity Subsystem. These subsystems would include all the relevant parameters which affect the noise in an urban traffic scenario. In the present work, only the Road Traffic System and some of its major parameters have been considered and an Algebraic Graph Theoretic model is presented which emulates the chosen input dataset with a satisfactory level of accuracy, after incorporating the interaction effects. The parameters like traffic volume, street width, height of measuring point above street level and estimated speed with the interactions between them have been identified and modelled as permanent noise function. The evaluation of the 'permanent function' as a noise index and its correlation with the experimental values of traffic noise level descriptors, L eq , L 90 and L 10 , is shown with the help of an illustrative example.

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“…The step-by-step methodology [36,37] that is used for developing the GT model is briefly described below:…”

Section: Methodsmentioning

confidence: 99%

Section: Graph Theoretic Model Of the Road Traffic Subsystem (Rts)mentioning

confidence: 99%

Modelling and Analysis of Urban Traffic Noise System Using Algebraic Graph Theoretic Approach

et al. 2016

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“…All the subsystem variables considered and their interactions with each other are represented in the form of a matrix known as PFM ( permanent function matrix ). The model, along with the relevant parameters, is described in the form of a block diagram and then based on intuition, previous works, and expert opinion weights for the interaction terms are assigned (Prabhakaran et al 2006 ; Ratha and Agrawal 2015 ). The inconsistencies that may arise due to improper human judgment are taken care of using the Eigenvalue approach, as has been proved in the pioneering work of Hwang and Yoon (Hwang and Yoon 1981 ).…”

Section: Graph-theoretic Approachmentioning

confidence: 99%

Modelling road traffic Noise under heterogeneous traffic conditions using the graph-theoretic approach

Gilani

Mir

2021

Environ Sci Pollut Res

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A traffic noise system involves several subsystems like road traffic subsystem, human subsystem, environment subsystem, traffic network subsystem, and urban prosperity subsystem. The study’s main aim was to develop road traffic noise models using a graph theory approach involving the parameters related to road traffic subsystem. The road traffic subsystem variables selected for the modeling purposes included vehicular speed, traffic volume, carriageway width, number of heavy vehicles, and number of honking events. The interaction of the selected variables considered in the form of permanent noise function is given in the matrix form. Eigenvalues and corresponding eigenvectors are calculated for removing any human judgmental error. The permanent noise function matrix was then updated using the eigenvectors, which was ultimately utilized for obtaining the permanent noise index. Data regarding the selected variables were collected for three months, and the noise parameters included in the study were equivalent noise level (L eq,1h ), maximum noise level (L 10,1h ), and background noise level (L 90,1h ). A logarithmic transformation was applied to the permanent noise index and linear regression models were developed for L eq,1h , L 90,1h , and L 10,1h respectively. The models were validated using the data collected from the same locations for nine months. The models were found to provide satisfactory results, although the results were somewhat overestimated. The method can prove beneficial for estimating future noise levels, given the expected changes in values for the independent variables considered in the study.

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“…In the present study, IWM has been highlighted, which operates based on a combination of political, economic, social, environmental, technological, and legal dimensions and seeks to create balance and adaptation to optimal environmental, economic, cultural and social conditions (Wang et al, 2016). In management, the problem that has increased the optimal decision for watershed managers is the complexity and high cost of recognizing the relationships that exist between the components of natural and human factors (Ratha & Agrawal, 2015; Tranmer et al, 2020). Watershed managers often face problems in complex decision‐making because many factors and variables must be considered in decision‐making (Witlox, 2005).…”

Section: Introductionmentioning

confidence: 99%

Comparative applicability of MCDM‐SWOT based techniques for developing integrated watershed management framework

Khiavi

Vafakhah

Sadeghi

2023

Natural Resource Modeling

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Environmental planning facilitates decision‐making to achieve sustainable development goals and provides a crucial way to achieve integrated watershed management (IWM). However, such systematic planning has not been adequately conducted worldwide. Therefore, this study was conducted to develop an IWM framework using SWOT (i.e., strengths, weaknesses, opportunities, and threats) model for the Cheshmeh–Kileh Watershed, Mazandaran Province, Iran. The input components were comparatively weighted using different multicriteria decision‐making (MCDM) techniques, including Game Theory Algorithm (GTA), Best–Worst Method (BWM), VIekriterijumsko KOmpromisno Rangiranje (VIKOR), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and Simple Additive Weighting (SAW). Semistructured interviews with stakeholders, including watershed residents, executive experts, and policymakers, were used to identify the SWOT factors. The number of interviewees in subgroups of local users, policy‐making institutions and executive organization were 75, 13, and 6 respectively. Five different MCDM techniques were then used to calculate the overall weight of SWOT factors. According to the results, the groups of SWOT factors of abundant water resources, severe floods, promotion of environmental conservation culture, and increasing migration of young age groups with respective weights of 0.298, 0.298, 0.372, and 0.279 scored higher than other factors. Based on the overall weights, it can be said that positive factors scored more points than negative factors. Therefore, according to the opinions of the stakeholders, the Cheshmeh–Kileh Watershed was in a good condition based on strengths and opportunities compared to weaknesses and threats, and for this reason, GTA and SAW, which had included the watershed status in the growth and development strategy, were selected as the best method. BWM and TOPSIS provided relatively acceptable results, and the weakest result was associated with VIKOR, which showed the watershed status in the defensive strategy. The present study results can help managers in optimal decisions for planning and optimal management in the Cheshmeh–Kileh Watershed to create ecological balance and increase the welfare of watershed residents.

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A digraph permanent approach to evaluation and analysis of integrated watershed management system

Cited by 17 publications

References 23 publications

Modelling and Analysis of Urban Traffic Noise System Using Algebraic Graph Theoretic Approach

Modelling and Analysis of Urban Traffic Noise System Using Algebraic Graph Theoretic Approach

Modelling road traffic Noise under heterogeneous traffic conditions using the graph-theoretic approach

Comparative applicability of MCDM‐SWOT based techniques for developing integrated watershed management framework

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