A probabilistic approach to rainwater harvesting systems design and evaluation
Journal
Resources, Conservation and Recycling
Journal Volume
53
Journal Issue
7
Pages
393-399
Date Issued
2009
Author(s)
Lin, C.-H.
Chang, L.-F.
Kang, J.-L.
Lin, M.-C.
Su, Ming-Daw
Lin, Chun-Hung
Chang, Ling-Fang
Kang, Jui-Lin
Lin, Mei-Chun
Abstract
Although rainwater harvesting system (RHS) is an effective alternative to water supply, its efficiency is often heavily influenced by temporal distribution of rainfall and water demand. Since natural precipitation is a random process and has probabilistic characteristics, it will be more appropriate to describe these probabilistic features of rainfall and its relationship with design storage capacity as well as supply deficit of RHS. This paper aims at developing a methodology for establishing the probabilistic relationship between storage capacities and deficit rates of RHS. A simulation model was built to simulate the input rainfall and water release in RHS. Historical rainfall records were then used as input for simulation and the results were used in probabilistic analysis for establishing the relationships between storage capacities and water supply deficits. The city of Taipei was used as study area for demonstration of this methodology and probabilistic distribution curves for storage capacity and deficit rate relationships were presented. As a result, a set of curves describing the continuous relationships between storage capacities and deficit rates under different exceedance probabilities were generated as references to RHS storage design. At a chose exceedance probability of failure, the engineer can decide from the curve on the storage size under a preset deficit rate. Crown Copyright © 2009.
Subjects
Probability distribution; Rainwater harvesting systems; Simulation; Storage capacity
SDGs
Other Subjects
Exceedance probabilities; Probabilistic analysis; Probabilistic approaches; Probabilistic characteristics; Probabilistic distributions; Rainwater harvesting systems; Simulation; Simulation models; Storage capacity; Study areas; Temporal distributions; Water demands; Water release; Competition; Harvesting; Rain; Rhodium compounds; Water analysis; Water supply; Water supply systems; Probability distributions; rain; design; probability; rainfall-runoff modeling; rainwater; water demand; water resource; water storage; water supply; article; building; mathematical model; probability; rainwater harvesting system; seasonal variation; simulation; storage; Taiwan; topography; water supply; Asia; Eurasia; Far East; Taipei; Taiwan
Type
journal article
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