Supply–Demand Risk and Resilience Assessment for Household Rainwater Harvesting in Melbourne, Australia

By the concept of systems risk and resilience, this paper presents a technique based on probabilistic and stochastic modelling to gauge the adequacy of the supply—demand relation of rainwater tank harvesting in suburban Melbourne, Australia. A domestic rainwater harvesting system may be viewed from a technical (e.g. risk of demand not being met), economic (e.g. most economical tank capacity), or managerial (e.g. acceptable duration of time with empty tank) perspective. Rather than the traditional command-and-control approach to system selection and management, risk assessment provides a flexible way, in probabilistic term, to address the technical and economic perspectives, whereas resilience concept addresses the managerial perspective. This has the advantage of allowing a number of criteria for gauging the performance of alternative harvesting systems, as shown in an example by Monte Carlo simulation for a typical household rainwater tank system in Melbourne. This research provides a typical paradigm for analysis of systems of cluster or regional scales.

[1]  Monica G. Turner,et al.  Surrogates for Resilience of Social–Ecological Systems , 2005, Ecosystems.

[2]  Standards New Zealand.,et al.  Risk management guidelines: companion to AS/NZS 4360:2004 , 2004 .

[3]  Wilson H. Tang,et al.  Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering , 2006 .

[4]  Daniel P. Loucks,et al.  Reliability, resiliency, and vulnerability criteria for water resource system performance evaluation , 1982 .

[5]  Enedir Ghisi,et al.  Rainwater tank capacity and potential for potable water savings by using rainwater in the residential sector of southeastern Brazil , 2007 .

[6]  M. Kabir,et al.  Rainwater: A Potential Alternative Source for Scarce Safe Drinking and Arsenic Contaminated Water in Bangladesh , 2010 .

[7]  David Salt,et al.  Resilience Thinking : Sustaining Ecosystems and People in a Changing World , 2017 .

[8]  Jared L. Cohon,et al.  A Programming Model for Analysis of the Reliability, Resilience, and Vulnerability of a Water Supply Reservoir , 1986 .

[9]  N. Apostolidis,et al.  Integrated Water Management in brownfield sites — more opportunities than you think , 2006 .

[10]  Niranjali Jayasuriya,et al.  Forecasting Residential Water Demand: Case Study , 2007 .

[11]  Ana Deletic,et al.  Urban stormwater harvesting - sensitivity of a storage behaviour model , 2008, Environ. Model. Softw..

[12]  Dirk P. Kroese,et al.  Simulation and the Monte Carlo method , 1981, Wiley series in probability and mathematical statistics.

[13]  J. Hammersley SIMULATION AND THE MONTE CARLO METHOD , 1982 .

[14]  Jane M. Blackmore,et al.  Risk and Resilience to Enhance Sustainability with Application to Urban Water Systems , 2008 .

[15]  J. Dutoit The Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) , 2007 .

[16]  Sunil Kumar Singh,et al.  Water Balance Approach for Rainwater Harvesting using Remote Sensing and GIS Techniques, Jammu Himalaya, India , 2009 .

[17]  Yacov Y. Haimes,et al.  Risk modeling, assessment, and management , 1998 .

[18]  Niranjali Jayasuriya,et al.  Optimal sizing of rain water tanks for domestic water conservation , 2010 .

[19]  O. Edenhofer,et al.  Mitigation from a cross-sectoral perspective , 2007 .

[20]  Y. Haimes Risk Modeling, Assessment, and Management: Haimes/Risk Modeling, Assessment 2e , 2005 .

[21]  M. Saier,et al.  Climate Change, 2007 , 2007 .

[22]  Chao-Hsien Liaw,et al.  OPTIMUM STORAGE VOLUME OF ROOFTOP RAIN WATER HARVESTING SYSTEMS FOR DOMESTIC USE 1 , 2004 .

[23]  Chi-Hsiang Wang,et al.  Resilience Concepts for Water Resource Systems , 2009 .

[24]  Wenyan Wu,et al.  Single-Objective versus Multiobjective Optimization of Water Distribution Systems Accounting for Greenhouse Gas Emissions by Carbon Pricing , 2010 .

[25]  Valerie Grace Mitchell,et al.  A Stochastic Demand Generator for Domestic Water Use , 2008 .

[26]  Andrew J. Higgins,et al.  The multiple criteria analysis tool (MCAT): A new software tool to support environmental investment decision making , 2009, Environ. Model. Softw..

[27]  S. Kaplan,et al.  On The Quantitative Definition of Risk , 1981 .

[28]  Nasiman Sapari,et al.  Variations in rainwater quality from roof catchments , 1989 .