ClimateCafé: An Interdisciplinary Educational Tool for Sustainable Climate Adaptation and Lessons Learned
Abstract
:1. Introduction
Study Area
2. Materials and Methods
2.1. Storytelling and the Impact of Malmö ClimateCafé
2.2. Mapping of Climate Adaptation Measures with the ClimateScan Tool
2.3. Quick Scan Mapping of Pollutants with the Use of Portable XRF
2.4. Water Quality
2.5. Hydraulic Efficiency of Swales
2.6. Heat Stress Mapping with Sensors on a Bike
3. Results
3.1. Storytelling and the Impact of Malmö ClimateCafé
3.2. Mapping of Climate Adaptation Measures with the ClimateScan Tool
3.3. Quick scan Mapping of Pollutants with the Use of Portable XRF
3.4. Water Quality
3.5. Hydraulic Efficiency of Swales
3.6. Heat Stress Mapping
4. Discussion
4.1. The Interdiciplinary Approach for Climate Adaptation
4.2. The Impact of the Different Diciplines on the Participants
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Workshops | Workshop aim | Method | ||
---|---|---|---|---|
1 | Storytelling | To enhance discussions regarding climate adaptation UN SDG #17: partnership for the goals, #4: quality education, #11: sustainable cities and communities | Interviews with participants of ClimateCafé and additional with different stakeholders (government, industry, academia, and civil participants) brought multidisciplinary viewpoints together and created new shared values that benefit Augustenborg to optimize the ecosystem services. | |
2 | Mapping climate adaptation on ClimateScan | To give first impressions of urban resilience projects and examples of existing sustainable climate adaptation. UN SDG #13: climate action, #11 and #9: innovation and infrastructure. | Climate adaptations were mapped on the open-source tool www.climatescan.org | |
3 | Soil quality of NBS | To assess the built-up of potential toxic elements in the NBS in the study area UN SDG #6: clean water and sanitation, and #15: life on land. | A portable X-ray fluorescence (pXRF) instrument was used to measure the build-up of potential toxic elements (PTE) in the topsoil of rain gardens and swales after 20 years. A new method for cost-effective insights into the environmental performance of NBS. | |
4 | Water quality assessment of NBS | To scan water quality in this neighborhood, and gain insights into the spatial variability of water quality between different ponds. UN SDG #14: life below water and #6. | The (surface) water quality of all ponds in Augustenborg was measured by underwater drones with cameras and sensors. | |
5 | Hydraulic performance of NBS | To gain more insight into the hydrological performance of NBS in the study area. UN SDG #6 and #13 | Full-scale testing of swales was conducted using sensors, resulting in detailed measurements of the infiltration capacity of these nature-based solutions | |
6 | Heat stress mapping | To gain more insight into heat stress and the effects of NBS on urban cooling inside and outside of the Augustenborg area. UN SDG #11 and #7: renewable energy | Heat sensors on bikes gave detailed information on ‘hotspots’ in Malmö where nature-based solutions could be implemented to mitigate high temperatures |
Countries | Background | Field | What Are Your Thoughts about Climate Adaptation? | How did ClimateCafé Improve Skills about Climate Adaptation? |
---|---|---|---|---|
Sweden (7) Sri Lanka (1) Indonesia (1) Czech Republic (1) Romania (2) Latvia (6) China (1) Belgium (1) | PhD students (5) Masters students (7) Bachelors students (1) Professionals (7) | Stormwater quality Civil engineering Water resources engineering Environmental engineering Landscape architecture Groundwater engineering Urban drainage system Water management | Need to educate people | More knowledge about climate adaptation (discussions) |
Need more studies, more knowledge | More knowledge about climate adaptation (new techniques) | |||
Important due to climate change (e.g., disasters) | Networking (people from different backgrounds/countries) | |||
It’s a challenge | ||||
Ongoing field with a lot already happening | Spread the knowledge known to hometowns | |||
Important topic to spread to other stakeholders, e.g., municipalities | Experience theory on field (by measurements) | |||
Do not have a strict opinion, need more time to verify if climate is changing | Inspiration for future studies by solutions already applied on field | |||
Necessity of more resilient cities |
Sensor | Variables Collected | Output | Precision |
---|---|---|---|
BME280 | Air temperature, humidity | Temperature in Degrees Celsius, Humidity in 5 | ± 3% |
MLX90615 | Infrared temperature, air temperature | Temperature in Degrees Celsius | ± 3% |
BH1750FVI | Light intensity | Lux | ± 2% |
Velleman Anemometer WS1080 | Windspeed | Wind speed in km/h | ±0.5 km/h |
GY-NEO6MV2 | GPS | Lat/long | Depending on satellite connections |
Participants Have Learned How to Use the Proposed Tools during Malmö ClimateCafé | ||||||
---|---|---|---|---|---|---|
Strongly disagree | Neutral to strongly disagree | Neutral | Strongly agree to neutral | Strongly agree | Sum | |
SDGs | 20% | 10% | 20% | 30% | 20% | 100% |
FullScale | 0% | 10% | 20% | 40% | 30% | 100% |
Water drones | 0% | 0% | 20% | 40% | 40% | 100% |
pXRF | 0% | 0% | 10% | 20% | 70% | 100% |
ClimateScan | 0% | 0% | 0% | 10% | 90% | 100% |
Participants can explain the proposed tools during Malmö ClimateCafé to colleagues / fellow students after attending it | ||||||
Strongly disagree | Neutral to strongly disagree | Neutral | Strongly agree to neutral | Strongly agree | Sum | |
SDGs | 0% | 0% | 50% | 30% | 20% | 100% |
FullScale | 0% | 10% | 20% | 50% | 20% | 100% |
Water drones | 0% | 0% | 20% | 40% | 40% | 100% |
pXRF | 0% | 0% | 10% | 30% | 60% | 100% |
ClimateScan | 0% | 0% | 0% | 20% | 80% | 100% |
The proposed tools are of value to the participants’ work/study and he/she is inclined to use it in the future. | ||||||
Strongly disagree | Neutral to strongly disagree | Neutral | Strongly agree to neutral | Strongly agree | Sum | |
SDGs | 0% | 0% | 10% | 30% | 60% | 100% |
FullScale | 0% | 0% | 20% | 50% | 30% | 100% |
Water drones | 0% | 0% | 20% | 40% | 40% | 100% |
pXRF | 0% | 0% | 0% | 20% | 80% | 100% |
ClimateScan | 0% | 0% | 20% | 30% | 50% | 100% |
Logger | Slope | R2 | k (cm/min) | k (m/d) | |
---|---|---|---|---|---|
Swale 1 | Logger 1 | −21.804 | 0.9594 | 0.0174 | 0.23 |
Swale 1 | Logger 2 | −24.571 | 0.9702 | 0.0155 | 0.20 |
Swale 2 | Logger 1 | −15.824 | 0.9865 | 0.0112 | 0.15 |
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Share and Cite
Boogaard, F.C.; Venvik, G.; Pedroso de Lima, R.L.; Cassanti, A.C.; Roest, A.H.; Zuurman, A. ClimateCafé: An Interdisciplinary Educational Tool for Sustainable Climate Adaptation and Lessons Learned. Sustainability 2020, 12, 3694. https://doi.org/10.3390/su12093694
Boogaard FC, Venvik G, Pedroso de Lima RL, Cassanti AC, Roest AH, Zuurman A. ClimateCafé: An Interdisciplinary Educational Tool for Sustainable Climate Adaptation and Lessons Learned. Sustainability. 2020; 12(9):3694. https://doi.org/10.3390/su12093694
Chicago/Turabian StyleBoogaard, Floris C., Guri Venvik, Rui L. Pedroso de Lima, Ana C. Cassanti, Allard H. Roest, and Antal Zuurman. 2020. "ClimateCafé: An Interdisciplinary Educational Tool for Sustainable Climate Adaptation and Lessons Learned" Sustainability 12, no. 9: 3694. https://doi.org/10.3390/su12093694