Sustainable urban drainage systems (SuDS) such as swales are designed to collect, store and infiltrate a large amount of surface runoff water during heavy rainfall. Stormwater is known to transport pollutants, such as particle-bound heavy metals, which are known to often accumulate in the topsoil. In this study, a portable XRF instrument is used to provide in situ spatial characterization of soil pollutants. The method uses portable XRF measurements of heavy metals along profiles with set intervals (1 meter) to cover the swale with cross-sections, across the inlet, the deepest point and the outlet. Soil samples are collected, and the In-Situ measurements are verified by the results from laboratory analyses. Stormwater is here shown to be the transporting media for the pollutants, so it is of importance to investigate areas most prone to flooding and infiltration. This quick scan method is time and cost-efficient, easy to execute and the results are comparable to any known (inter)national threshold criteria for polluted soils. The results are of great importance for all stakeholders in cities that are involved in climate adaptation and implementing green infrastructure in urban areas. However, too little is still known about the long-term functioning of the soil-based SuDS facilities.
MULTIFILE
Sustainable urban drainage systems (SuDS) such as swales are designed to collect, store and infiltrate a large amount of surface runoff water during heavy rainfall. Stormwater is known to transport pollutants, such as particle-bound Potential Toxic Elements (PTE), which are known to often accumulate in the topsoil. A portable XRF instrument (pXRF) is used to provide in situ spatial characterization of soil pollutants, specifically lead (Pb), zink (Zn) and copper (Cu). The method uses pXRF measurements of PTE along profiles with set intervals (1 m) to cover the swale with cross-sections, across the inlet, the deepest point and the outlet. Soil samples are collected, and the In-Situ measurements are verified by the results from laboratory analyses. Stormwater is here shown to be the transporting media for the pollutants, so it is of importance to investigate areas most prone to flooding and infiltration. This quick scan method is time and cost-efficient, easy to execute and the results are comparable to any known (inter)national threshold criteria for polluted soils. The results are of great importance for all stakeholders in cities that are involved in climate adaptation and implementing green infrastructure in urban areas. However, too little is still known about the long-term functioning of the soil-based SuDS facilities.
The QuickScan CBM (Circular Business Model) offers an approach to develop a circular business model. It focuses primarily on the manufacturing industry, even though it can be used in other sectors. It consists of three parts: (1) an introduction with an explanation of backgrounds and central concepts, (2) knowledge maps of seven business models that together form a classification and (3) the actual QuickScan.An interactive application can be found at Business Model Lab. This last version is bilingual (Dutch and English). Regardless of the version, it can be used to develop a new CBM or adapt an existing business model based on a qualitative approach. The starting point is that better design and organisation of a CBM contributes to the transformation and transition towards a sustainable and circular economy.
MULTIFILE
In dit project is een quick-scan model ontwikkeld om de potentie van deelsystemen in stadswijken te voorspellen. Door gebruik te maken van voertuigdata van aanbieders van deelmobiliteit, evenals sociaal-demografische, economische en ruimtelijke kenmerken, worden voorspellingen gedaan over het aantal vertrekken van deelfietsen en deelscooters per zone. Deze gegevens zijn geïntegreerd in een quick-scan model binnen een digital twin omgeving, waardoor ambtenaren en andere experts inzicht krijgen in de potentiële vraag naar deelmobiliteit per zone.Deelmobiliteit is bezig aan een opmars in Nederland. Deze ontwikkeling verloopt echter met vallen en opstaan, omdat gemeenten en aanbieders nog onvoldoende inzicht hebben in de potentie van deelmobiliteit in verschillende gebieden.Met het quick-scan model kunnen gemeenten een eerste inzicht krijgen in de gebieden waar deelmobiliteit kansrijk is, gebaseerd op de huidige marktcondities. Op basis van deze inzichten kunnen gemeenten een plan opstellen voor de verdeling van de capaciteit en het aantal plekken voor deelmobiliteit over de verschillende gebieden in de stad. Clients: Tour de Force & Ministerie van Infrastructuur en Waterstaat
