Abstract The environmental impacts of road construction on the aquatic environment necessitate the monitoring of receiving water quality. The main contribution of the paper is developing a feasible methodology for spatial optimization of the water quality monitoring network (WQMN) in surface water during road construction using the field data. First, using the Canadian Council of Ministers of the Environment (CCME) method, the water quality index (WQI) was computed in each potential monitoring station during construction. Then, the integrated form of the information-theoretic techniques consists of the transinformation entropy (TE), and the value of information (VOI) were calculated for the potential stations. To achieve the optimal WQMNs, the Non-dominated Sorting Genetic Algorithm II and III (NSGA-II, and III) based multi-objective optimization models were developed considering three objective functions, including i) minimizing the number of stations, ii) maximizing the VOI in the selected network, and iii) minimizing redundant information for the selected nodes. Finally, three multi-criteria decision-making models, including Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Preference Ranking Organisation Method for Enrichment Evaluations (PROMETHEE), and Analytical Hierarchy Process (AHP) were utilized for choosing the best alternative among Pareto optimal solutions considering various weighing scenarios assigned to criteria. The applicability of the presented methodology was assessed in a 22 km long road construction site in southern Norway. The results deliver significant knowledge for decision-makers on establishing a robust WQMN in surface water during road construction projects.

中文翻译：

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使用集成信息论技术评估道路建设中的最佳水质监测网络

摘要 道路建设对水环境的环境影响需要对受纳水质进行监测。本文的主要贡献是开发了一种可行的方法，用于在道路建设期间使用现场数据对地表水中的水质监测网络 (WQMN) 进行空间优化。首先，使用加拿大环境部长理事会（CCME）方法，在施工期间计算每个潜在监测站的水质指数（WQI）。然后，信息论技术的综合形式由信息熵（TE）组成，并计算了潜在站点的信息价值（VOI）。为了实现最佳 WQMN，非支配排序遗传算法 II 和 III (NSGA-II, 和 III) 基于三个目标函数开发的多目标优化模型，包括 i) 最小化站点数量，ii) 最大化所选网络中的 VOI，以及 iii) 最小化所选节点的冗余信息。最后，三个多标准决策模型，包括通过与理想解决方案相似性的排序偏好技术（TOPSIS）、富集评估的偏好排序组织方法（PROMETHEE）和层次分析法（AHP）用于选择最佳替代方案在考虑分配给标准的各种称重场景的帕累托最优解中。在挪威南部一个 22 公里长的道路施工现场评估了所提出方法的适用性。