scholarly journals A Blended Risk Index Modeling and Visualization Based on Hierarchical Fuzzy Logic for Water Supply Pipelines Assessment and Management

Processes ◽  
2018 ◽  
Vol 6 (5) ◽  
pp. 61 ◽  
Author(s):  
Muhammad Fayaz ◽  
Shabir Ahmad ◽  
Israr Ullah ◽  
DoHyeun Kim
Keyword(s):  
Fuzzy Logic ◽  
Water Supply ◽  
Risk Index

scholarly journals A Water Supply Pipeline Risk Analysis Methodology Based on DIY and Hierarchical Fuzzy Inference

Symmetry ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 44 ◽  
Author(s):  
Muhammad Fayaz ◽  
Quoc Bao Pham ◽  
Nguyen Thi Thuy Linh ◽  
Pham Thi Thao Nhi ◽  
Dao Nguyen Khoi ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Water Supply ◽  
Manufacturing Industry ◽  
Fuzzy Inference ◽  
Residential Buildings ◽  
Risk Index ◽  
The People ◽  
Fuzzy Logic Method ◽  
Do It Yourself ◽  
Water Supply Pipeline

The standard manufacturing organizations follow certain rules. The highest ubiquitous organizing principles in infrastructure design are modular idea and symmetry, both of which are of the utmost importance. Symmetry is a substantial principle in the manufacturing industry. Symmetrical procedures act as the structural apparatus for manufacturing design. The rapid growth of population needs outstrip infrastructure such as roads, bridges, railway lines, commercial, residential buildings, etc. Numerous underground facilities are also installed to fulfill different requirements of the people. In these facilities one of the most important facility is water supply pipelines. Therefore, it is essential to regularly analyze the water supply pipelines’ risk index in order to escape from economic and human losses. In this paper, we proposed a simplified hierarchical fuzzy logic (SHFL) model to reduce the set of rules. To this end, we have considered four essential factors of water supply pipelines as input to the proposed SHFL model that are: leakage, depth, length and age. Different numbers of membership functions are defined for each factor according to its distribution. The proposed SHFL model takes only 95 rules as compared to the traditional mamdani fuzzy logic method that requires 1225 rules. It is very hard and time consuming for experts to design 1225 rules accurately and precisely. Further, we proposed a Do-it-Yourself (DIY) system for the proposed SHFL method. The purpose of the DIY system is that one can design the FIS model according to his or her need.

scholarly journals Underground Risk Index Assessment and Prediction Using a Simplified Hierarchical Fuzzy Logic Model and Kalman Filter

Processes ◽  
2018 ◽  
Vol 6 (8) ◽  
pp. 103 ◽  
Author(s):  
Muhammad Fayaz ◽  
Israr Ullah ◽  
Do-Hyeun Kim
Keyword(s):  
Fuzzy Logic ◽  
Kalman Filter ◽  
Fuzzy Inference ◽  
Risk Index ◽  
Significant Risk ◽  
Assessment Method ◽  
Logic Model ◽  
Membership Functions ◽  
Inference System ◽  
Fuzzy Logic Model

Normally, most of the accidents that occur in underground facilities are not instantaneous; rather, hazards build up gradually behind the scenes and are invisible due to the inherent structure of these facilities. An efficient inference system is highly desirable to monitor these facilities to avoid such accidents beforehand. A fuzzy inference system is a significant risk assessment method, but there are three critical challenges associated with fuzzy inference-based systems, i.e., rules determination, membership functions (MFs) distribution determination, and rules reduction to deal with the problem of dimensionality. In this paper, a simplified hierarchical fuzzy logic (SHFL) model has been suggested to assess underground risk while addressing the associated challenges. For rule determination, two new rule-designing and determination methods are introduced, namely average rules-based (ARB) and max rules-based (MRB). To determine efficient membership functions (MFs), a module named the heuristic-based membership functions allocation (HBMFA) module has been added to the conventional Mamdani fuzzy logic method. For rule reduction, a hierarchical fuzzy logic model with a distinct configuration has been proposed. In the simplified hierarchical fuzzy logic (SHFL) model, we have also tried to minimize rules as well as the number of levels of the hierarchical structure fuzzy logic model. After risk index assessment, the risk index prediction is carried out using a Kalman filter. The prediction of the risk index is significant because it could help caretakers to take preventive measures in time and prevent underground accidents. The results indicate that the suggested technique is an excellent choice for risk index assessment and prediction.

scholarly journals Water Supply Pipeline Risk Index Assessment Based on Cohesive Hierarchical Fuzzy Inference System

Processes ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 182 ◽  
Author(s):  
Muhammad Fayaz ◽  
Shabir Ahmad ◽  
Lei Hang ◽  
DoHyeun Kim
Keyword(s):  
Water Supply ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Residential Buildings ◽  
Risk Index ◽  
Inference System ◽  
Full Structure ◽  
Implementation Time ◽  
Novel Method ◽  
Water Supply Pipeline

As populations grow, facilities such as roads, bridges, railways lines, commercial and residential buildings, etc., must be expanded and maintained. There are extensive networks of underground facilities to fulfil the demand, such as water supply pipelines, sewage pipelines, metro structures, etc. Hence, a method to regularly assesses the risk of the underground facility failures is needed to decrease the chance of accidental loss of service or accidents that endanger people and facilities. In the proposed work, a cohesive hierarchical fuzzy inference system (CHFIS) was developed. A novel method is proposed for membership function (MF) determination called the heuristic based membership functions determination (HBMFD) method to determine an appropriate MF set for each fuzzy logic method in CHFIS. The proposed model was developed to decrease the number of rules for the full structure fuzzy inference system with all rule implementation. Four very crucial parameters were considered in the proposed work that are inputs to the proposed CHFIS model in order to calculate the risk of water supply pipelines. In order to fully implement the proposed CHFIS just 85 rules are needed while using the traditional Mamdani fuzzy inference system, 900 rules are required. The novel method greatly reduces implementation time and rule design sets that are extremely time consuming to develop and difficult to maintain.

scholarly journals Fuzzy Logic Analysis of the Build, Capacity Build and Transfer (B-CB-T) Modality for Urban Water Supply Service Delivery in Ethiopia

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 979 ◽  
Author(s):  
Samuel Godfrey ◽  
Getachew Asmare ◽  
Tamene Gossa ◽  
Michele Paba
Keyword(s):  
Fuzzy Logic ◽  
Water Supply ◽  
Financial Management ◽  
Urban Water ◽  
Urban Water Supply ◽  
Rapid Urbanization ◽  
Appropriate Behavior ◽  
Contractual Arrangements ◽  
And Performance ◽  
Fuzzy Logic Analysis

Rapid urbanization in Ethiopia is resulting in the need for alternative sustainable service models for urban water supply. Contractual arrangements to improve the functionality of urban water services in Ethiopia have included build, operate and transfer (BOT), design, build and operate (DBO), performance-based contracts (PBC) and utility development. UNICEF undertook a review of these modalities and concluded that a modified version of the BOT modality was required to both incentivize private sector engagement in urban water supply and to enhance public sector utilities. This paper describes the contractual modality developed to achieve this aim, namely an Ethiopian build, capacity build and transfer (B-CB-T) modality. This paper tests the applicability of the B-CB-T model using fuzzy logic statistical analysis and concludes that of the four tested variables (internal accountability, external accountability, operation and maintenance and financial management), the most statistically significant was the clear mandate to address complaints and maintain a positive relationship with the clients (users). This paper concludes that the B-CB-T is an effective contracting modality that should be accompanied by appropriate behavior change and social mobilization outreach to maximize tariff, billing, extension and performance of the infrastructure that is administered within the B-CB-T arrangement.

An Integrated Decision-Making Framework to Appraise Water Losses in Municipal Water Systems

2020 ◽  
Vol 19 (05) ◽  
pp. 1293-1326 ◽  
Author(s):  
Shaher H. Zyoud ◽  
Daniela Fuchs-Hanusch
Keyword(s):  
Water Supply ◽  
Management Practices ◽  
Risk Index ◽  
Water Shortage ◽  
Influential Factors ◽  
Water Utilities ◽  
Weighted Averaging ◽  
Fuzzy Synthetic Evaluation ◽  
Water Losses ◽  
The Individual

To mitigate the acute water shortage problems, water utilities are combating to find potential solutions. Water losses management in Water Supply Networks (WSNs) is amongst the prominent solutions. This work intends to develop a decision support framework to diagnose the criticality of WSNs according to an associated Water Loss Risk Index (WLRI) at pipe and zone levels. It utilized the Fuzzy Analytic Hierarchy Process (FAHP) to evaluate the influential factors that contribute to water losses. The Fuzzy Synthetic Evaluation Technique (FSET) has been utilized to assess WLRI at pipe level and Ordered Weighted Averaging (OWA) operator has been used to aggregate the individual WLRI values for each zone. The framework is extended by incorporating Monte Carlo simulation model to generate the final ranking of zones. The outcomes of this simulation showed fair stability in terms of ranking the scrutinized zones. The integration of this framework in water losses management practices and planning policies of water utilities has a large potential in improving water supply services and the performance of WSNs.

Risk Index and Application of Fuzzy Logic

1995 ◽  
pp. 273-284
Author(s):  
Christian Preyssl ◽  
Yasushi Nishiwaki
Keyword(s):  
Fuzzy Logic ◽  
Risk Index

scholarly journals Ένα παράδειγμα σύζευξης γεωγραφικών συστημάτων πληροφοριών (Γ.Σ.Π) με μεθόδους τεχνητής νοημοσύνης (ασαφής λογική & νευρωνικά δίκτυα): εφαρμογή στη γεωμορφολογία.

2005 ◽  
Vol 38 ◽  
pp. 101
Author(s):  
Θ. ΓΚΟΥΡΝΕΛΟΣ ◽  
Ν. ΕΥΕΛΠΙΔΟΥ ◽  
Α. ΒΑΣΙΛΟΠΟΥΛΟΣ
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Fuzzy Logic ◽  
Information Systems ◽  
Geographical Information Systems ◽  
Spatial Database ◽  
Risk Index ◽  
Geographical Information ◽  
Erosion Risk

In this paper we are studying the erosional procedures on the basis of Geographical Information Systems (GIS) and Artificial Intelligence (Al) methods. More precisely we use fuzzy logic rules to estimate the erosion risk index for the surface rocks and a model of neural networks to spatially categorise the erosion risk index. The described procedure is applied at Zakynthos island, where a complete spatial database already exists.

scholarly journals Risco de Desabastecimento Hídrico na Região Seridó, Rio Grande do Norte, Brasil.

2021 ◽  
Vol 14 (6) ◽  
pp. 3711
Author(s):  
Yuri Marques Macedo ◽  
Adriano Lima Troleis ◽  
Lutiane Queiroz de Almeida
Keyword(s):  
At Risk ◽  
High Risk ◽  
Water Supply ◽  
Risk Index ◽  
Rio Grande ◽  
Water Shortage ◽  
Vulnerability Index ◽  
Water Sources ◽  
Water Shortages ◽  
State Planning

Este trabalho tem como propósito analisar o risco de desabastecimento hídrico urbano municipal em uma região do estado do Rio Grande do Norte (RN), a partir dos resultados do Índice de Risco de Desabastecimento Hídrico (IRDH). A pesquisa foi direcionada pela hipótese de que a relação entre fatores ambientais, infraestruturais, socioeconômicos e de planejamento estatal, produz territórios de risco de desabastecimento hídrico. Os pressupostos teórico-metodológicos estão baseados em Welle e Birkmann (2015); Almeida, Welle e Birkmann (2016); Medeiros (2018); Oliveira (2018); Macedo e Troleis (2020). Neste contexto, o IRDH foi estruturado em uma perspectiva sistêmica, onde os territórios de risco de desabastecimento hídrico foram identificados a partir de indicadores ambientais, infraestruturais, socioeconômicos e de planejamento estatal, utilizando como instrumentos de análise 19 variáveis. Como resultado o artigo apresenta a região de abastecimento hídrico Seridó, com 23 municípios, dos quais 20 foram classificados como ‘alto risco’ de desabastecimento hídrico (87%); 3 com ‘médio risco’ (13%) e nenhum com ‘baixo’, ‘muito baixo’ e ‘muito alto’ risco conforme a classificação do IRDH. A região apresentou-se extremamente vulnerável ao desabastecimento hídrico, principalmente pelas características ambientais e infraestruturais destacados por períodos de estiagem prolongada, baixa disponibilidade de abastecimento dos mananciais superficiais e subterrâneos, além de fragilidade na infraestrutura de saneamento básico, a partir da exposição dos mananciais à contaminação. Foram propostas a transposição de bacias, integração de sistemas de abastecimento, pesquisa hidrogeológica entre outras, para mitigação do risco de desabastecimento hídrico resultante para esta região.Palavras-chave: Vulnerabilidade; Índice; Seridó, Colapso Hídrico.  Risk of Water Shortage in The Seridó Region of Rio Grande Do Norte, Brazil A B S T R A C TThis paper aims to analyze the risk of municipal urban water shortages in a region of the state of Rio Grande do Norte (RN), based on the results of the Water Supply Risk Index (IRDH). The research was guided by the hypothesis that the relationship between environmental, infrastructural, socioeconomic and state planning factors produces territories at risk of water shortages. The theoretical-methodological assumptions are based on Welle e Birkmann (2015); Almeida, Welle and Birkmann (2016); Medeiros (2018); Oliveira (2018); Macedo and Troleis (2020). In this context, the IRDH was structured from a systemic perspective, in which the territories at risk of water shortages were identified through environmental, infrastructural, socioeconomic and state planning indicators - as instruments of analysis, nineteen variables were used. As a result, the article presents the Seridó water supply region, with 23 municipalities, of which 20 were classified as 'high risk' of water shortages (87%); 3 as ‘medium risk’ (13%) and none as ‘low’, ‘very low’ and ‘very high’ risk as per the IRDH rating. The region is extremely vulnerable to water shortages, the main reasons are the environmental and infrastructural characteristics highlighted by periods of prolonged drought, low availability of supply of surface and underground water sources, in addition to shortcoming in basic sanitation infrastructure, which caused by the exposure of water sources to contamination. Watershed transposition, integration of supply systems, hydrogeological research, among others, were proposed to mitigate the risk of resulting water shortages for this region.Keywords: Vulnerability; Index; Seridó, Water Collapse

scholarly journals ON THE ISSUE OF THE USE OF HEALTH RISK ASSESSMENT TECHNIQUES FOR HYGIENIC CHARACTERISTICS OF WATER SUPPLY SYSTEMS

2019 ◽  
Vol 96 (7) ◽  
pp. 686-689 ◽  
Author(s):  
K. B. Fridman ◽  
Yuliia A. Novikova ◽  
A. S. Belkin
Keyword(s):  
Risk Assessment ◽  
Drinking Water ◽  
Water Treatment ◽  
Water Supply ◽  
Chronic Exposure ◽  
Risk Index ◽  
Statistical Treatment ◽  
Water Supply Systems ◽  
Leningrad Region ◽  
Chemical Safety

The study was aimed to assess the dynamics of risk indices for population health at main stages of surface source water treatment for centralized domestic water supply of the Leningrad region communities. Practical application issues of calculation procedure for the integrated assessment of drinking water from centralized water supply by chemical safety indices, as exemplified by Vsevolozhsk communities (Leningrad region) water supply from the Lake Ladoga and the Neva River as water sources, are discussed. Results of quality monitoring of water from centralized domestic supply system at the stage of water intake, at the output of water treatment, and in the distributing system, accomplished by Russian Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing administration and Center of hygiene and epidemiology in the Leningrad region were used as study materials. The following study techniques were used: descriptive statistics, comparative analysis, risk assessment, generalization. Microsoft Excel program was used for analysis and statistical treatment. Integral water quality index appears to be quite an informative integrated index of the efficacy of the water treatment, however, the same index value can be derived by various combinations of risk values of reflex-olfactory, non-carcinogenic and carcinogenic effects. Therefore, during the calculations, a “risk index of the effects of chronic exposure” was introduced with a view to distinguishing them from effects caused by the adverse organoleptic properties of water (reflex-olfactory effects). For the population these properties are the main reason for refusal from the use drinking water, and at the same time they are physiological, lying outside the pathology. The risk of effects of chronic exposure, carcinogenic and non-carcinogenic, expresses the probability of the development of pathology in time, but not the likelihood of an immediate refusal to use drinking water due to its unsatisfactory organoleptic qualities.

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