Abstract
Rainwater harvesting systems (RWHSs) are promoted by many governments to ease urban water shortages. Such systems have also been adopted by the Sustainable Campus Project in Taiwan. However, spatial-temporal variances in precipitation significantly influence the hydraulic and economic performance of RWHSs, and a decision supporting system is essential for large scale application. This study proposes a simulation-based spatial system (SBSS) incorporating economic analysis to support the decision making of RWHSs. A case study is presented, which adapts the SBSS to the rooftop RWHSs of seven universities in the Taipei Area applied as part of the Sustainable Campus Project. Compared with the traditional generalized method, the SBSS enhances the information value. Also, the results of the case study show that SBSS provides more holistic and comprehensive support for the decision making of both end-users and policy makers. Therefore, the SBSS is a useful tool for promoting RWHSs on a large scale.
