Semi-automatic identification of optimal location for the implementation of LID practices at the watershed scale**

城市和郊区的发展改变了水文循环，扩大了不透水表面，从而改变了流域尺度的水文过程(减少了入渗和蒸散；增加了快速径流、径流量和来自雨水的峰值流量)。城市化还有助于增加向溪流和水体输送污染物。绿色基础设施，通常被称为低影响发展(LID)实践，已在全球范围内用于管理城市化环境中非点源水资源的数量和质量。例如，这种做法包括绿化屋顶、透水人行道、雨桶等。盖子做法的局部规模效应已在科学文献中得到了很好的记录。现在人们对开发综合工具越来越感兴趣，也有明显的科学需要，这些工具可以帮助决策者和工程师在制定分水岭规模的水管理总计划时，为多个盖子做法进行半自动选址。这类工具应该能够利用城市水文模型和高分辨率空间信息。该项目与LaSalle|NHC合作，旨在研究如何更有效地利用ArcGIS中的空间信息处理来指导识别哪个LID实践更适合哪个位置，以提供一种在分水岭尺度上衡量LID实践的实用方法。*

Urban and suburban growth modifies the hydrological cycle by expanding impermeable surfaces thus modifying hydrological processes at the watershed scale (decreased infiltration and evapotranspiration; increased rapid runoff, runoff volumes and peak flows from stormwater). Urbanisation also contributes to increased delivery of pollutants to streams and water bodies. Green infrastructure, typically referred to as low-impact development (LID) practices has been used worldwide to manage non-point source water quantity and quality in urbanised environments. Such practices include, for instance, green roofs, permeable pavements, rain barrels, etc. The local-scale effect of LID practices has been well documented in the scientific literature. There is now a growing interest and clear scientific need for the development of integrated tools that can assist decision makers and engineers in semi-automatic site selection for multiple LID practices, as they elaborate water management master plans at the watershed scale. Such tools should be able to take advantage of urban hydrological modelling, and of high-resolution spatialized information. In collaboration with Lasalle | NHC, this projects aims at studying how the spatial information treatment in ArcGIS can be more effectively exploited to guide the identification of which LID practice is better suited for which location, to provide a pragmatic approach to scale LID practices at the watershed scale.******