Title :
Optimization of Urban Drain Layout Using GIS
Author :
Qiu, Dongwei ; Wan, Shanshan ; Lv, Shuqiang ; Luo, Dean
Author_Institution :
Beijing Univ. of Civil Eng. & Archit., Beijing
Abstract :
The optimization of urban drain layout plays an important role to the protection of water ecosystem and urban environment. The paper puts forward a method to properly locate urban drain using population based incremental learning (PBIL) algorithm. The main factors such as regional containing sewage capacity, sewage disposal capacity quantity limit of drains within specific area are considered as constraint conditions. Analytic hierarchy process is used to obtain weight of single factor, and spatial analysis of environmental influencing factors is carried on based on GIS. The method is applied to actual engineering. The results have proved urban drain layout using GIS and PBIL algorithm excels traditional method and it can protect the urban environment efficiently and ensure the healthy development of water ecosystem successfully.
Keywords :
expert systems; geographic information systems; learning (artificial intelligence); optimisation; water resources; GIS; analytic hierarchy; drains; optimization; population based incremental learning algorithm; sewage capacity; sewage disposal capacity; urban drain layout; urban environment; water ecosystem; Cities and towns; Civil engineering; Ecosystems; Genetic mutations; Geographic Information Systems; Optimization methods; Protection; Sustainable development; Urban areas; Water pollution; Algorithm; Environmental factors; GIS; Optimization method; Urban area;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4779242