Design of River Water Quality Monitoring Networks: A Case Study
Design of River Water Quality Monitoring Networks: A Case Study
复制标题
DOI：
10.1007/s10666-008-9172-4
复制
发表时间：
2009-12
影响因子：
2.4
通讯作者：
M. Karamouz;R. Kerachian;M. Akhbari;Bahareh Hafez
中科院分区：
文献类型：
--
作者：
M. Karamouz;R. Kerachian;M. Akhbari;Bahareh Hafez
卡龙河，从戈特万大坝到波斯湾，全长450多公里，年流量118.91亿立方米，是伊朗最大的河流。越来越多的取水和废水排放到这条河已经危及了这个重要生态系统的水生生物。此外，饮用水和溪流中的水质标准在许多情况下都被违反。本文设计了河流水质监测网，包括采样频率的确定和水质监测站的选址。在这方面，开发了两个模型。第一个模型是基于遗传算法的优化模型，第二个模型是克立格法和层次分析法相结合的模型。评价了卡龙河和德兹河水质变量浓度的时间变化，并选取了主要水质指标。在此基础上，选取了35个测站，论证了信息熵理论在采样频率计算中的应用。结果表明，该方法在监测网络设计中具有重要的应用价值。
Karoon River, from Gotvand Dam to Persian Gulf with more than 450 km in length and an annual discharge of 11,891 million cubic meters, is the largest river in Iran. Increasing water withdrawal from and wastewater discharge to the river has endangered the aquatic life of this important ecosystem. Furthermore, the drinking and in-stream water quality standards have been violated in many instances. In this paper, a river water quality monitoring network is designed, including determination of sampling frequencies as well as location of water quality monitoring stations. In this regard, two models are developed. The first model is a Genetic Algorithm-based optimization model and the second one is a combination of Kriging method and Analytical Hierarchy Process. The temporal variation of the concentration of water quality variables along Karoon and Dez Rivers are evaluated and the main water quality indicators are selected. Then, thirty five stations are selected and the application of Entropy Theory in calculating the sampling frequency is demonstrated. The results show the significant value of the proposed methodology in the design of monitoring network.