Despite being a simple and inexpensive pretreatment technology, the cost-effectiveness of riverbank filtration (RBF) depends on complex hydrogeological and hydrogeochemical variables. One of the most important issues for decision makers regarding RBF is optimal site selection. Therefore, a methodology for multicriteria site evaluation for large-scale RBF schemes is offered. The methodology is primarily designed as a prescreening method, applied over a wide area, but can also serve as a guide for evaluating individual RBF sites. To facilitate further discussion about improvements on the methodology, the reasoning behind each relevant factor and its weight in the evaluation is presented. The methodology is divided into three sequential steps through which a site can be assessed. The first step is to establish the existence of connectivity between the river and aquifer. This is termed the essential criterion, and is a binary determination of site suitability. If the site is determined to be suitable, it is then assessed via a set of quantity criteria, which measure the aquifer capacity and amount of bank filtrate that can be effectively abstracted. Lastly, water quality criteria are assessed by means of surface-water and groundwater quality. The quantity and quality criteria form a result expressed as the site suitability index (SSI), which ranges from 0 to 1, where higher scores represent increased suitability. Finally, the methodology is applied to evaluate existing sites of large-scale RBF application as a demonstration of its applicability. The success of these existing sites is compared to the calculated SSI value and discussed.

尽管是一种简单且廉价的预处理技术，但河岸过滤 (RBF) 的成本效益取决于复杂的水文地质和水文地球化学变量。对于 RBF 决策者而言，最重要的问题之一是最佳选址。因此，提供了一种用于大规模 RBF 方案的多标准场地评估的方法。该方法主要设计为一种预筛选方法，适用于广泛的领域，但也可以作为评估单个 RBF 站点的指南。为便于进一步讨论该方法的改进，本文介绍了每个相关因素背后的原因及其在评估中的权重。该方法分为三个连续步骤，通过这些步骤可以评估站点。第一步是建立河流和含水层之间的连通性。这被称为基本标准，是场地适宜性的二元确定。如果确定该地点合适，然后通过一组数量标准进行评估，这些标准衡量含水层容量和可以有效提取的银行滤液量。最后，水质标准通过地表水和地下水质量进行评估。数量和质量标准形成一个结果，表示为场地适宜性指数 (SSI)，范围从 0 到 1，其中得分越高表示适宜性越高。最后，将该方法应用于评估现有的大规模 RBF 应用站点，以证明其适用性。