Siting analyses for water quality sampling in a catchment |
| |
Authors: | Jehng-Jung Kao Pei-Hao Li Chin-Lien Lin Wen-Hsin Hu |
| |
Institution: | (1) Institute of Environmental Engineering, National Chiao Tung University, 75 Po-Ai Street, Hsinchu, 300, Taiwan, Republic of China |
| |
Abstract: | Pollution loads discharged from upstream development or human activities significantly degrade the water quality of a reservoir.
The design of an appropriate water quality sampling network is therefore important for detecting potential pollution events
and monitoring pollution trends. However, under a limited budgetary constraint, how to site an appropriate number of sampling
stations is a challenging task. A previous study proposed a method applying the simulated annealing algorithm to design the
sampling network based on three cost factors including the number of reaches, bank length, and subcatchment area. However,
these factors are not directly related to the distribution of possible pollution. Thus, this study modified the method by
considering three additional factors, i.e. total phosphorus, nitrogen, and sediment loads. The larger the possible load, the
higher the probability of a pollution event may occur. The study area was the Derchi reservoir catchment in Taiwan. Pollution
loads were derived from the AGNPS model with rainfall intensity estimated using the Thiessen method. Analyses for a network
with various numbers of sampling sites were implemented. The results obtained based on varied cost factors were compared and
discussed. With the three additional factors, the chosen sampling network is expected to properly detect pollution events
and monitor pollution distribution and temporal trends. |
| |
Keywords: | Nonpoint source pollution Water quality sampling Siting analysis Multi-objective model Optimization Environmental systems analysis |
本文献已被 PubMed SpringerLink 等数据库收录! |
|