2002/2003年，几个荷兰组织合作开展了一项关于该项目的筛查项目 荷兰饮用水和饮用水中药物的出现及其意义 消息来源。在一组105种药物的筛查中，有44种药物被检测到 地表水，地下水3，饮用水9。药品的数量 在饮用水中发现的细菌远远低于健康指南。该项目的一个结果是 更侧重于药物、内分泌干扰物（EDC）和 水公司和水研究机构提供的其他有机微污染物。 因为不可能定期分析饮用水中所有新出现的物质，所以这是可行的 有必要预测通过饮用水处理厂去除的物质。 开展这项研究是为了从根本上了解有机微污染物的去除。 利用定量构效关系（QSAR），研究了 饮用水处理过程中的有机微污染物可以建模，考虑到 考虑工艺的设计和运行以及不同的进水质量参数。作为一个 开发QSAR的第一步是在荷兰表面发现药物和EDC 对水进行分类，并选择指示化合物。这段关系的清单 指示化合物与混凝、臭氧氧化和颗粒物去除之间的关系 采用活性炭过滤。包括34个参考文献、表格、图表。

In 2002/2003 several Dutch organizations cooperated in a screening program on the occurrence and significance of pharmaceuticals in Dutch drinking water and drinking water sources. Out of a screening set of 105 pharmaceuticals, 44 pharmaceuticals were detected in surface water, 3 in groundwater and 9 in drinking water. The amounts of the pharmaceuticals found in drinking water were far below the health guidelines. A result of the project was a more focussed screening on pharmaceuticals, Endocrine Disrupting Compounds (EDCs) and other organic micropollutants by water companies and water research organizations. Because regular analysis of drinking water for all emerging substances is not possible, it is necessary to predict the removal of the substances through the drinking water treatment plant. Research is carried out to obtain fundamental insight in the removal of organic micropollutants. Using the Quantitative Structure-Activity Relationships (QSAR), the behavior of organic micro-pollutants in drinking water treatment processes can be modelled, taking into account the design and operation of the process and varying influent quality parameters. As a first step to develop QSARs the occurring pharmaceuticals and EDCs in the Dutch surface waters are classified and indicator compounds are chosen. An inventory of the relation between the indicator compounds and their removal by coagulation, ozonation and granular activated carbon filtration is made. Includes 34 references, tables, figures.