Models provide invaluable visions to decision-makers for basin-scale management of water resources. However, decision-makers have difficulties in directly using these complex models. Water managers are primarily interested in user-friendly features allowing an integration of their judgments into the decision-making process, rather than applying detailed theories and methodologies. This knowledge gap between technical simulation models and policy-makers highlights the urgent need for developing an integrated water resource management decision support system (IWRM-DSS). This paper describes the main aspects of a new IWRM-DSS in which Microsoft Visual Studio under the C# language was employed to integrate the Microsoft SQL server as a database and ArcGIS Engine DLLs for pre/postdata processing for the SWAT and MODFLOW models. Two particular ‘module’ and ‘presentation’ shells are specifically designed for decision-makers to create four different scenarios, namely, ‘climatic’, ‘recharge’, ‘discharge’, and ‘coupled’ and to analyze the results. Decision-makers, without any detailed modeling knowledge and computer skills, can access the data and run models to test different management scenarios in an attractive graphical user interface. The IWRM-DSS, which was applied for the Neishaboor watershed, Iran, reveals that mean annual potential evapotranspiration increased to 8.2%, while runoff and recharge rates are reduced to 35 and 63%, which led to a decline of 13.5 m in mean groundwater level for the 13-year projected period.

模型为流域规模水资源管理的决策者提供了宝贵的愿景。然而，决策者很难直接使用这些复杂的模型。水管理人员主要对用户友好的功能感兴趣，这些功能允许将他们的判断整合到决策过程中，而不是应用详细的理论和方法。技术模拟模型和政策制定者之间的这种知识差距凸显了开发综合水资源管理决策支持系统 (IWRM-DSS) 的迫切需要。本文描述了新的 IWRM-DSS 的主要方面，其中使用 C# 语言下的 Microsoft Visual Studio 将 Microsoft SQL 服务器作为数据库和 ArcGIS Engine DLL 集成，用于 SWAT 和 MODFLOW 模型的前/后数据处理。两个特定的“模块”和“演示”外壳专为决策者设计，以创建四种不同的场景，即“气候”、“充电”、“放电”和“耦合”并分析结果。决策者无需任何详细的建模知识和计算机技能，就可以访问数据并运行模型，以在有吸引力的图形用户界面中测试不同的管理场景。应用于伊朗 Neishaboor 流域的 IWRM-DSS 显示，年平均潜在蒸散量增加至 8.2%，而径流和补给率分别降低至 35% 和 63%，导致平均地下水减少 13.5 m 13 年预计期间的水平。和“耦合”并分析结果。决策者无需任何详细的建模知识和计算机技能，就可以访问数据并运行模型，以在有吸引力的图形用户界面中测试不同的管理场景。应用于伊朗 Neishaboor 流域的 IWRM-DSS 显示，年平均潜在蒸散量增加至 8.2%，而径流和补给率分别降低至 35% 和 63%，导致平均地下水减少 13.5 m 13 年预计期间的水平。和“耦合”并分析结果。决策者无需任何详细的建模知识和计算机技能，就可以访问数据并运行模型，以在有吸引力的图形用户界面中测试不同的管理场景。应用于伊朗 Neishaboor 流域的 IWRM-DSS 显示，年平均潜在蒸散量增加至 8.2%，而径流和补给率分别降低至 35% 和 63%，导致平均地下水减少 13.5 m 13 年预计期间的水平。