Assessment of Urban Water Supply Options by Using Fuzzy Possibilistic Theory

Ghandehari, Ahmad; Davary, Kamran; Khorasani, Hamid Omranian; Vatanparast, Maryam; Pourmohamad, Yavar

doi:10.1007/s40710-020-00441-8

Cited by 15 publications

(4 citation statements)

References 33 publications

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“…Environmental change is likely to affect global migration flows in several ways, particularly by reducing livelihoods in countries depending on agriculture (Martin, 2013;Pourmohamad et al, 2019Pourmohamad et al, , 2020. Environmental migration is currently one of policymakers' top priorities (UN DESA, 2013; Ghandehari et al, 2020), with many scientific and policy studies addressing it as a potential security concern (Boas et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Toward the development of a conceptual framework for the complex interaction between environmental changes and rural-urban migration

et al. 2023

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Environmental changes can result in dramatic increases in human migration as households become unable to adapt to such changes. Addressing environmental migration is a complex puzzle that can become a wicked problem. Despite the growing literature on the nexus between environmental change and migration, the inextricable link between nature and society has made it difficult to establish causal relations between the two. To examine the relationship between environmental change and migration, it is necessary to develop a conceptual model that includes environmental changes as potential causes of rural-urban migration (RUM). Such a model should be built on an enhanced understanding of the different factors that stimulate environmentally induced RUM. This paper proposes such a model, focusing on loss of agricultural land, loss of agricultural productivity and the economic repercussions of these losses. The model is based on the model of Perch-Nielsen et al. but extends this model by incorporating additional factors. In our model, the three leading causes of RUM are climate change, human maladaptive activities, and hydro-climatic disasters (the push factors). In addition, there may be pull factors in the cities. RUM may be counteracted or reduced by governmental policy and individuals' characteristics. The model was applied to Iran. The results show that the model can help to bridge the knowledge gap regarding environmentally induced RUM and may inform policymaking on RUM and related issues, such as environmental management and adaptation to climate change.

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Section: Introductionmentioning

confidence: 99%

Toward the development of a conceptual framework for the complex interaction between environmental changes and rural-urban migration

et al. 2023

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“…e frequent occurrence of contradictions in the water supply industry also means that the water supply industry must make revolutionary innovations in the management style [2]. However, although the number of urban residents has been increasing in recent years and the city has been expanding to meet the development needs, the pipeline network infrastructure has also been growing, resulting in an urban water supply pipeline network with multiple water sources, multiple water plants, multiple transmission and distribution ring networks, and frequent uncertainty accidents, but the way urban infrastructure is managed has not changed much [3].…”

Section: Introductionmentioning

confidence: 99%

A Multivariate Statistical Model of Water Leakage in Urban Water Supply Networks Based on Random Matrix Theory

Chen¹,

Yang

2022

Mathematical Problems in Engineering

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In this paper, model construction of random matrix theory is carried out to analyze water leakage of urban water supply pipeline network, and a multivariate statistical model of water leakage of urban water supply pipeline network based on random matrix theory is proposed. This paper presents a three-level DMA, short-term water demand prediction method based on water use patterns, aiming to solve the problem of inaccurate water demand prediction caused by climate and social factors. Correlation analysis and factor analysis analyze the main factors affecting daily water demand changes. The extracted information of the main influencing factors and historical monitoring data are used to establish the Elman water demand prediction model. At the same time, the daily water consumption pattern was extracted by correlation analysis, matched with the water consumption pattern of the predicted day, and combined with the expected value of water demand for momentary water demand allocation, which improved the prediction accuracy of short-term water demand. This paper is based on the precise leakage location based on the real-time hydraulic model. The real-time hydraulic model under leakage conditions is established, GA and NSGA2 are designed, and the nondominated ranking algorithm with elite strategy is used to achieve accurate leakage location using hydraulic model calibration search. This paper uses a random matrix algorithm to establish the leakage estimation model. A laboratory case pipe network is built to simulate the water supply conditions in residential areas, and the operating data of the laboratory case pipe network are used to confirm that the random matrix leakage estimation model can estimate the leakage. The applicability of the random matrix leakage estimation model and the wavelet transform algorithm for leakage calculation are compared in an engineering example. The example confirms that the leakage amount calculated by the random matrix model has a less relative error and more similar trend than the wavelet transform algorithm.

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“…The Fuzzy Logic is a perfect tool among white-box methods (models based on laws of physics, chemistry, others, that govern the dynamic behavior of the system) for risk analysis due to the capabilities in dealing with limited data, subjective and temporal variables, and modeling expert opinions, among others [11]. For this reason, Fuzzy Logic was used as comprehensible framework for assessing water supply risk based on existing and under-construction projects in Mashhad city, Iran.…”

Section: Introductionmentioning

confidence: 99%

“…The results showed that the framework based on the Fuzzy and possibility theory is befitting to information gathered from experts. Such a framework can provide a simple method to apply the proposed methodology to other water management projects, where, despite the high level of investment, there is no clear idea of the risks and their consequences [11].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Modeling of Urban Water Supply Crisis

Silva¹,

Souza²

2022

Fuzzy Systems - Theory and Applications

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The chaotic growth of cities results in numerous problems related to public health and urban environment. One of these problems is the urban water supply system crisis. This research aims to develop a mathematical model for urban water supply crises (UWC) able to deal with the ambiguity of the real available data. The applied methodology comprises the following steps: (i) identifying the influencing factors in UWC; (ii) proposing a conceptual model for the description of UWC; (iii) collecting and simulating the necessary and available data; (iv) optimizing the conceptual model parameters; and (v) verifying the proposed model performance. The results indicate that there are many influencing factors in UWC. The model developed comprises two parts or two sub-models. The first sub-model explains water consumption, and the second sub-model explains water availability. In the first sub-model, the functions are related to the factors that influence water consumption. In the second sub-model, the functions are related to the factors that influence the availability of water. This research also aims to analyze the possibility of applying Fuzzy Logic to deal with the ambiguity of real data. It was concluded that, with the proposed model, the UWC was modeled appropriately. The model proposed can help to predict the impact of actions such as reducing losses, reducing pressure on the water supply network and intermittent supply on the intensity of water crisis cases in cities.

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Assessment of Urban Water Supply Options by Using Fuzzy Possibilistic Theory

Cited by 15 publications

References 33 publications

Toward the development of a conceptual framework for the complex interaction between environmental changes and rural-urban migration

Toward the development of a conceptual framework for the complex interaction between environmental changes and rural-urban migration

A Multivariate Statistical Model of Water Leakage in Urban Water Supply Networks Based on Random Matrix Theory

Fuzzy Modeling of Urban Water Supply Crisis

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