Risk Analysis Model for Water Pipeline Leakage Based on FAHP and BPNN

2013 ◽  
Vol 441 ◽  
pp. 1093-1096
Author(s):  
Wen Zeng ◽  
Yong Ting Pan ◽  
Hong Mei Huang
Keyword(s):  
Neural Network ◽  
Risk Analysis ◽  
Bp Neural Network ◽  
Distribution System ◽  
Water Distribution ◽  
Water Distribution System ◽  
Economic Loss ◽  
Analysis Model ◽  
Initial State ◽  
Water Pipeline

Scientific analysis of the leakage of the water distribution system in city is very helpful to water supply network’s maintenance and renovation, and hence reduces negative social effect and economic loss. A leakage risk nalysis model for water distribution system was established based on fuzzy analytical hierarchy process (FAHP) and BP neural network (BPNN). This model introduces FAHP to reasonably ensure initial state of BP neural network, and uses weighted superposition to mend learning sample set of BP neural network. The water distribution system of a city in Zhejiang province P. R. China was selected to test the proposed risk analysis model, which verifise its feasibility and effectivity.

A Neural Network Approach for Modeling Water Distribution System

2017 ◽  
Author(s):  
Andrei S. Popa ◽  
Conor O'Toole ◽  
Juan Munoz ◽  
Steve Cassidy ◽  
Dallas Tubbs ◽  
...  
Keyword(s):  
Neural Network ◽  
Distribution System ◽  
Water Distribution ◽  
Water Distribution System ◽  
Network Approach ◽  
Neural Network Approach

scholarly journals ANALISA KEBUTUHAN AIR BERSIH (STUDI KASUS DESA SIMPANG GAUNG KECAMATAN GAUNG KABUPATEN INDRAGIRI HILIR)

2021 ◽  
Vol 7 (1) ◽  
pp. 61-68
Author(s):  
Wiro Saputra
Keyword(s):  
Distribution System ◽  
Water Distribution ◽  
Water Distribution System ◽  
Level Of Service ◽  
Clean Water ◽  
Raw Water ◽  
Total Water ◽  
Flow Pressure ◽  
Water Pipeline ◽  
Total Water Demand

Abstract Water is a basic need for human survival, clean water needs continue to increase while the supply of raw water infrastructure is still limited, there is often a lack of fulfillment of needs during the dry season, clean water crisis is one of the problems in Indragiri Hilir District especially in Simpang Gaung Village. Planning for a clean water distribution system really needs to be taken into account in order to guarantee the fulfillment of the level of service, in planning the clean water pipeline is determined by the water requirements and the required flow pressure. The amount or discharge of water provided depends on the population and industry served. The purpose of this study is to obtain clean water needs and a piping network system 15 based on the needs of the population in the next 15 years. The population of Simpang Gaung Village in 2018 is 4,100 people, with the semi average soul method of population growth up to 2033 is 4,283 people. The total water demand with a population of 4334 million in 2033 is 2.9420 liters / second. The source of water used is the river.     Abstrak Air merupakan kebutuhan yang mendasar bagi kelangsungan hidup manusia, kebutuhan air bersih terus meningkat sementara penyediaan prasarana air baku masih terbatas, sering terjadi kekurangan pemenuhan kebutuhan saat musim kemarau, krisis air bersih merupakan salah satu masalah di Kabupaten Indragiri Hilir khusunya di Desa Simpang Gaung. Perencanaan sistem distribusi air bersih sangat perlu diperhitungkan agar dapat menjamin terpenuhinya tingkat pelayanan, pada perencanaan jaringan pipa air bersih ditentukan oleh kebutuhan air dan tekanan aliran yang diperlukan. Jumlah atau debit air yang disediakan tergantung pada jumlah penduduk dan industri yang dilayani. Tujuan dari studi ini adalah untuk mendapatkan kebutuhan air bersih dan sistim jaringan perpipaan 15 berdasarkan kebutuhan penduduk 15 tahun kedepannya. Jumlah penduduk Desa Simpang Gaung tahun 2018 berjumlah 4.100 jiwa, dengan metode semi average jiwa pertumbuhan penduduk sampai dengan tahun 2033 adalah 4.283 jiwa. Total kebutuhan air dengan jumlah penduduk 4334 juta jiwa pada tahun 2033 adalah 2,9420 liter/detik. Sumber air yang digunakan adalah sungai.

scholarly journals Indirect flood impacts and cascade risk across interdependent linear infrastructures

2020 ◽  
Author(s):  
Chiara Arrighi ◽  
Maria Pregnolato ◽  
Fabio Castelli
Keyword(s):  
Risk Analysis ◽  
Distribution System ◽  
Road Network ◽  
Water Distribution ◽  
Water Distribution System ◽  
Critical Infrastructures ◽  
The Road ◽  
Flood Impacts ◽  
System Risk ◽  
Indirect Impacts

Abstract. Floods are the most frequent and damaging natural threat worldwide. Whereas the assessment of direct impacts is well advanced, the evaluation of indirect impacts is less frequently achieved. Indirect impacts are not due to the physical contact with flood water but result from the reduced performance of infrastructures. Linear critical infrastructures (such as roads and pipes) have an interconnected nature that may lead to failure propagation, so that impacts extend far beyond the inundated areas and/or period. This work presents the risk analysis of two linear infrastructure systems, i.e. the water distribution system (WSS) and the road network system. The evaluation of indirect flood impacts on the two networks is carried out for four flooding scenarios, obtained by a coupled 1D-quasi 2D hydraulic model. Two methods are used for assessing the impacts on the water distribution system and on the road network, a Pressure-Driven Demand network model and a transport network disruption model respectively. The analysis is focused on the identification of: (i) common impact metrics; (ii) vulnerable elements exposed to the flood; (iii) similarities and differences of the methodological aspects for the two networks; (iv) risks due to systemic interdependency. The study presents an application to the metropolitan area of Florence (Italy). When interdependencies are accounted for, results showed that the risk to the WSS in terms of Population Equivalent (PE/year) can be reduced by 71.5 % and 41.8 %, if timely repairs to the WSS stations are accomplished by 60 and 120 minutes respectively; the risk to WSS in terms of pipes length (km/year) reduces by 53.1 % and 15.6 %. The study highlights that resilience is enhanced by system risk-informed planning, which ensures timely interventions on critical infrastructures; however, temporal and spatial scales are difficult to define for indirect impacts and cascade effects. Perspective research could further improve this work by applying a system-risk analysis to multiple urban infrastructures.

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