Deliberate Attacks on Freshwater Supply Systems: A Compartmentalized Model for Damage Assessment

The assessmentmodel for post-earthquake lifeline serviceability of electric power, water, and city gas supply systems has been modified and applied to the Great East Japan Earthquake Disaster with the detailed and updated data required for damage assessment. The estimated and observed population affected after the main shock and its decreasing process has been compared for validation on a prefectural basis. Reasonable agreement has been found between the estimation and observation except for discrepancies attributed to unconsidered factors, such as damage to hierarchically high facilities caused by tsunami, liquefaction, and/or ground shaking.

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DAMAGE ASSESSMENT ON WATER SUPPLY SYSTEMS IN THE 2011 OFF THE PACIFIC COAST OF TOHOKU EARTHQUAKE - CASE STUDY FOR THE DATA AT ITAKO CITY AND KAMISU CITY -

Journal of Japan Society of Civil Engineers Ser A1 (Structural Engineering & Earthquake Engineering (SE/EE)) ◽

10.2208/jscejseee.69.i_260 ◽

2013 ◽

Vol 69 (4) ◽

pp. I_260-I_279 ◽

Cited By ~ 2

Author(s):

Takuya TSUKIJI ◽

Ray TERAJIMA ◽

Gaku SHOJI ◽

Shigeru NAGATA

Keyword(s):

Water Supply ◽

Damage Assessment ◽

Pacific Coast ◽

Tohoku Earthquake ◽

Water Supply Systems ◽

The Pacific ◽

Supply Systems

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Developing a Web-based Application for Energy Supply Systems

ICONIET PROCEEDING ◽

10.33555/iconiet.v2i3.28 ◽

2019 ◽

Vol 2 (3) ◽

pp. 164-169

Author(s):

Mohammed Faza ◽

Maulahikmah Galinium ◽

Matthias Guenther

Keyword(s):

Energy Supply ◽

Power Plants ◽

Acceptance Testing ◽

Design Activity ◽

Unit Testing ◽

Validity Testing ◽

Energy Supply System ◽

Time Series Modelling ◽

Supply Systems ◽

Energy Supply Systems

An energy supply system consists of a system of power plants and transmission anddistribution systems that supply electrical energy. The present project is limited to the modellingof the generation system. Its objective is the design and implementation of a web-basedapplication for simulating energy supply systems using the Laravel framework. The projectfocuses on six modules representing geothermal energy, solar energy, biopower, hydropower,storage, and fossil-based energy that are allocated to satisfy a given power demand. It isexecuted as a time series modelling for an exemplary year with hourly resolution. Thedevelopment of the software is divided into four steps, which are the definition of the userrequirements, the system design (activity, use case, system architecture, and ERD), the softwaredevelopment, and the software testing (unit testing, functionality testing, validity testing, anduser acceptance testing). The software is successfully implemented. All the features of thesoftware work as intended. Also, the software goes through validity testing using three differentinput data, to make sure the software is accurate. The result of the testing is 100% accuracy withrespect to the underlying model that was implemented in an excel calculation.

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Delivering Sustainable Water Systems Using Kalman Filter and Statistical Approach

Journal of Applied Information, Communication and Technology ◽

10.33555/ejaict.v4i1.82 ◽

2017 ◽

Vol 4 (1) ◽

pp. 41-52

Author(s):

Dedy Loebis

Keyword(s):

Kalman Filtering ◽

Statistical Approach ◽

Water Systems ◽

Data Sets ◽

Pressure Data ◽

Burst Event ◽

Sample Data ◽

Other Information ◽

Supply Systems ◽

Frequency Features

This paper presents the results of work undertaken to develop and test contrasting data analysis approaches for the detection of bursts/leaks and other anomalies within wate r supply systems at district meter area (DMA)level. This was conducted for Yorkshire Water (YW) sample data sets from the Harrogate and Dales (H&D), Yorkshire, United Kingdom water supply network as part of Project NEPTUNE EP/E003192/1 ). A data analysissystem based on Kalman filtering and statistical approach has been developed. The system has been applied to the analysis of flow and pressure data. The system was proved for one dataset case and have shown the ability to detect anomalies in flow and pres sure patterns, by correlating with other information. It will be shown that the Kalman/statistical approach is a promising approach at detecting subtle changes and higher frequency features, it has the potential to identify precursor features and smaller l eaks and hence could be useful for monitoring the development of leaks, prior to a large volume burst event.

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