Venice Research Consortium (CVR), Via della Libertà 12, 30175 Marghera, Venice, Italy.
Sci Total Environ. 2011 Oct 15;409(22):4681-92. doi: 10.1016/j.scitotenv.2011.07.050. Epub 2011 Sep 8.
Many indicators and indices related to a variety of biological, physico-chemical, chemical, and hydromorphological water conditions have been recently developed or adapted by scientists in order to support water managers in the Water Framework Directive (WFD) implementation. In this context, the achievement of a comprehensive and reliable Ecological Status classification of water bodies across Europe is hampered by the lack of harmonised procedures for selecting an appropriate set of indicators and integrating heterogeneous information in a flexible way. To this purpose, an Integrated Risk Assessment (IRA)(2) methodology was developed based on the Weight of Evidence approach. This method analyses and combines a set of environmental indicators grouped into five Lines of Evidence (LoE), i.e. Biology, Chemistry, Ecotoxicology, Physico-chemistry and Hydromorphology. The whole IRA methodology has been implemented as a specific module into a freeware GIS (Geographic Information System)-based Decision Support System, named MODELKEY DSS. This paper focuses on the evaluation of the four supporting LoE (i.e. Chemistry, Ecotoxicology, Physico-chemistry and Hydromorphology), and includes a procedure for a comparison of each indicator with proper thresholds and a subsequent integration process to combine the obtained output with the LoE Biology results in order to provide a single score expressing the Ecological Status classification. The approach supports the identification of the most prominent stressors, which are responsible for the observed alterations in the river basin under investigation. The results provided by the preliminary testing of the IRA methodology through application of the MODELKEY DSS to the Llobregat case study are finally reported and discussed.
最近,为了支持水框架指令(WFD)的实施,科学家们开发或改编了许多与各种生物、物理化学、化学和水形态学水质条件相关的指标和指数。在这种情况下,由于缺乏选择合适指标集和以灵活方式整合异构信息的协调程序,欧洲水体综合和可靠生态状况分类的目标受到了阻碍。为此,基于证据权重方法开发了综合风险评估(IRA)(2)方法。该方法分析并组合了一组环境指标,分为五个证据线(LoE),即生物学、化学、生态毒理学、物理化学和水形态学。整个 IRA 方法已作为一个特定模块实现到一个免费的 GIS(地理信息系统)为基础的决策支持系统中,命名为 MODELKEY DSS。本文重点评估了四个支持 LoE(即化学、生态毒理学、物理化学和水形态学),并包括一种与适当阈值比较每个指标的程序,以及随后的整合过程,将获得的输出与 LoE 生物学结果相结合,以提供表达生态状况分类的单一分数。该方法支持识别最主要的胁迫因素,这些因素是导致所研究流域中观察到的变化的原因。最后报告和讨论了通过将 MODELKEY DSS 应用于 Llobregat 案例研究来初步测试 IRA 方法的结果。