| contributor author | Jonathan Berry | |
| contributor author | William E. Hart | |
| contributor author | Cynthia A. Phillips | |
| contributor author | James G. Uber | |
| contributor author | Jean-Paul Watson | |
| date accessioned | 2017-05-08T21:08:07Z | |
| date available | 2017-05-08T21:08:07Z | |
| date copyright | July 2006 | |
| date issued | 2006 | |
| identifier other | %28asce%290733-9496%282006%29132%3A4%28218%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/40011 | |
| description abstract | We present a mixed-integer programming (MIP) formulation for sensor placement optimization in municipal water distribution systems that includes the temporal characteristics of contamination events and their impacts. Typical network water quality simulations track contaminant concentration and movement over time, computing contaminant concentration time series for each junction. Given this information, we can compute the impact of a contamination event over time and determine affected locations. This process quantifies the benefits of sensing contamination at different junctions in the network. Ours is the first MIP model to base sensor placement decisions on such data, compromising over many individual contamination events. The MIP formulation is mathematically equivalent to the well-known | |
| publisher | American Society of Civil Engineers | |
| title | Sensor Placement in Municipal Water Networks with Temporal Integer Programming Models | |
| type | Journal Paper | |
| journal volume | 132 | |
| journal issue | 4 | |
| journal title | Journal of Water Resources Planning and Management | |
| identifier doi | 10.1061/(ASCE)0733-9496(2006)132:4(218) | |
| tree | Journal of Water Resources Planning and Management:;2006:;Volume ( 132 ):;issue: 004 | |
| contenttype | Fulltext | |
