Abstract
Nature-based solutions are increasingly used in domestic wastewater treatment, because of their potential to remove contami-nants and pathogens from water (e.g., stormwater, river water, wastewater) as well as their provided co-benefits, such asmitigation of the heat island effect or enhanced biodiversity. The transition from traditional grey technologies towardsnature-based solutions in domestic wastewater treatment might yield multiple benefits for local communities while enhancing biodiversity. Although some nature-based solutions such as treatment wetlands have been used for decades in domestic wastewater treatment, this is not the case for others such as green walls or roofs, which lack implementation guidelines and design criteria. Aiming to support implementation of nature-based solutions in domestic wastewater treatment, we have developed an online decision-support system for the pre-selection of the best nature-based solution to use in each socio-environmental context and adapted to the needs, as well as an estimate of the required area. Our decision-support system’s recommendations are based on an expert knowledge-driven approach, building on two complementary expert knowledge elicitation workshops. We hope the developed online decision-support system will support the transition towards integrating nature-based solutions into urban water and wastewater treatment systems.
Keywords
wastewater treatment;urban sanitation;treatment wetlands;green walls;co-benefits;
Data
| Language: |
English |
| Year of publishing: |
2023 |
| Typology: |
1.01 - Original Scientific Article |
| Organization: |
UL ZF - University College of Health Studies |
| UDC: |
628.31:628.179.2 |
| COBISS: |
187194883
|
| ISSN: |
2617-4782 |
| Views: |
38 |
| Downloads: |
4 |
| Average score: |
0 (0 votes) |
| Metadata: |
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Other data
| Secondary language: |
Slovenian |
| Secondary keywords: |
čiščenje odpadne vode;urbane sanitarije;čiščenje mokrišč;zelene stene;dodatne koristi; |
| Type (COBISS): |
Article |
| Pages: |
str. 235-251 |
| Volume: |
ǂVol. ǂ5 |
| Issue: |
ǂno. ǂ2 |
| Chronology: |
2023 |
| DOI: |
10.2166/bgs.2023.005 |
| ID: |
23032903 |