How can negative effects on water quality be mitigated?
Mitigating negative effects of climate change or of adaptation measures on water quality may require additional measures. This page provides an overview of various “water quality measures”. The measures are divided into six clusters. Download the Excel table to find out how the measures impact the indicators. The Excel table is explained below the measures.
Water quality measures can be intended to improve the ecological quality of urban water. In addition, they can be intended to improve the functional quality of urban water, e.g., for use as drinking water or as industrial process water.
→ Read more about the impact of climate change on the ecological quality of urban surface water
Overview of water quality measures
Measures to improve water quality can vary widely. For example, communicating to swimmers on blue-green algae is quite a different measure from adjusting the sewer system. For that reason, the measures have been divided into clusters. Starting at page 156, the interactive knowledge document on Urban Water Quality, Climate and Adaptation (pdf, 13 MB) (in Dutch) provides a brief explanation of each cluster along with photos of measures. This may provide inspiration for exploring ways to improve the resilience of the water system.
Explanation of the table
The table is not exhaustive and mainly intended as a source of inspiration to spark a dialogue on the most effective ways to boost the resilience of the water system. In the table, the measures are also subdivided into clusters. In addition, they have been categorised in three types of measures. Furthermore, the table shows the scale level at which a measure is implemented and by which party (the initiator). For example, “Dredging a watercourse” is a local measure, carried out by a municipality and/or the district water board. On the right-hand side, the indicators are listed, followed by two types of measures: effect-oriented and source-oriented. The “source-oriented measures” list the control variables corresponding to the indicator. The squares indicate the indicators or control variables that will increase or decrease as a result of the measure. This increase (T) or decrease (A) is usually positive (green), but in some cases, it may be negative (red).