Institute of Environmental Engineering, National Chiao Tung University, 1001 University Road, Hsinchu 30010, Taiwan, Republic of China.
Environ Monit Assess. 2012 Jan;184(1):43-52. doi: 10.1007/s10661-011-1945-6. Epub 2011 Mar 8.
A water quality monitoring network (WQMN) must be designed so as to adequately protect the water quality in a catchment. Although a simulated annealing (SA) method was previously applied to design a WQMN, the SA method cannot ensure the solution it obtained is the global optimum. Therefore, two new linear optimization models are proposed in this study to minimize the deviation of the cost values expected to identify the possible pollution sources based on uniform cost (UC) and coverage elimination uniform cost (CEUC) schemes. The UC model determines the expected cost values by considering each sub-catchment being covered by which station, while the CEUC model determines the coverage of each station by eliminating the area covered by any upstream station. The proposed models are applied to the Derchi reservoir catchment in Taiwan. Results show that the global optimal WQMN can be effectively determined by using the UC or CEUC model, for which both results are better than those from the SA method, especially when the number of stations becomes large.
水质监测网络（WQMN）的设计必须能够充分保护集水区的水质。尽管先前已经应用模拟退火（SA）方法来设计 WQMN，但 SA 方法不能保证其获得的解决方案是全局最优的。因此，本研究提出了两种新的线性优化模型，以最小化基于均匀成本（UC）和覆盖消除均匀成本（CEUC）方案识别可能污染源的成本值的偏差。UC 模型通过考虑每个子流域被哪个站覆盖来确定预期的成本值，而 CEUC 模型则通过消除任何上游站覆盖的区域来确定每个站的覆盖范围。所提出的模型应用于台湾的 Derchi 水库集水区。结果表明，通过使用 UC 或 CEUC 模型可以有效地确定全局最优的 WQMN，这两种结果都优于 SA 方法的结果，特别是当站的数量增加时。
