FieldEco
domingo, 11 de octubre de 2026
AGORA (2026) Rapport annuel 2025. Luxembourg: AGORA. Corporate annual report covering Belval and Metzeschmelz.
Mulè Stagno, L. (2019) ‘Msida Bastion Garden of Rest Geothermal Project’, Vigilo, 51, p. 44. Din l-Art Ħelwa, Malta.
Brankov, B. (2019) ‘Common areas in development of multi-family housing’, Arhitektura i urbanizam, 49, pp. 32–39. https://doi.org/10.5937/a-u0-22134.
Łukaszkiewicz, J., Długoński, A., Fortuna-Antoszkiewicz, B. and Fialová, J. (2024) ‘The ecological potential of poplars (Populus L.) for city tree planting and management: A preliminary study of central Poland (Warsaw) and Silesia (Chorzów)’, Land, 13(5), 593. https://doi.org/10.3390/land13050593.
Jansson, J., Nordlund, A. and Westin, K. (2017) ‘Examining drivers of sustainable consumption: The influence of norms and opinion leadership on electric vehicle adoption in Sweden’, Journal of Cleaner Production, 154, pp. 176–187. https://doi.org/10.1016/j.jclepro.2017.03.186.
Stefánsdóttir, H. (2015) ‘Offentlige rom for mennesker eller for biler? [Public spaces for people or cars?]’, Kart og Plan, 75(4), pp. 320–327.
Therán-Nieto, K.R., Pérez-Arévalo, R., Marín-Carranza, J. and Caballero-Calvo, A. (2025) ‘Variaciones del microclima local en zonas de tejido urbano abierto en clima tropical seco’, Revista AUS, 37, pp. 32–39. https://doi.org/10.4206/aus.2025.n37-05.
Vitale, C.M., Price, E.J., Miller, G.W., David, A., Antignac, J.-P., Barouki, R. and Klánová, J. (2021) ‘Analytical strategies for chemical exposomics: Exploring limits and feasibility’, Exposome, 1, osab003. https://doi.org/10.1093/exposome/osab003.
Koch, S., Khomenko, S., Cirach, M., Ubalde-Lopez, M., Baclet, S., Daher, C., Hidalgo, L., Löhmus, M., Rizzuto, D., Rumpler, R., Susilo, Y., Venkataraman, S., Wegener, S., Wellenius, G.A., Woodcock, J. and Nieuwenhuijsen, M. (2022) ‘Impacts of changes in environmental exposures and health behaviours due to the COVID-19 pandemic on cardiovascular and mental health: A comparison of Barcelona, Vienna, and Stockholm’, Environmental Pollution, 304, 119124. https://doi.org/10.1016/j.envpol.2022.119124.
Helbich, M., Browning, M.H.E.M., Voets, D. and Dadvand, P. (2025) 'Adherence to the 3+30+300 urban green space rule and mental health, physical activity, and overweight: A population-based study in the Netherlands', Environment International, 202, 109643. https://doi.org/10.1016/j.envint.2025.109643.
Willberg, E., Fink, C., Klein, R., Heinonen, R. and Toivonen, T. (2024) 'Green or short: choose one – A comparison of walking accessibility and greenery in 43 European cities', Computers, Environment and Urban Systems, 113, 102168. https://doi.org/10.1016/j.compenvurbsys.2024.102168.
Ornelas, A.J.A., Cordeiro, A.M.R. and Lameiras, J.M. (2026) ‘Green spaces: Urban heat island mitigation and building climate resilience in Coimbra’, Atmosphere, 17(3), 284. https://doi.org/10.3390/atmos17030284.
Ornelas and colleagues make temporal sampling indispensable to spatial diagnosis. Their multi-site observations of near-surface air temperature in Coimbra distinguish recurrent intra-urban thermal hotspots from cooler green and blue settings, tracking contrasts across different parts of the day and different urban conditions. Santana and the Seminary surroundings emerge as prominent heat-exposed locations; the Botanical Garden and Mermaid Garden operate as local cooling refuges. The research instrument is not a single climatic map but a sequence of situated measurements, interpreted against urbanisation intensity, surface cover and site context. This matters because an apparently homogeneous neighbourhood may change thermal character within hours. It would be incorrect to infer individual thermal comfort, health outcomes or the causal effectiveness of a proposed design intervention directly from those temperature contrasts. The paper nevertheless establishes a powerful empirical requirement: exposure must be observed at the scale and frequency at which urban conditions actually diverge. The city has no single temperature, and an observation made once should not silently become a permanent attribute of place.
Sfîcă, L., Crețu, C.-Ș., Ichim, P., Hrițac, R. and Breabăn, I.-G. (2023) 'Surface urban heat island of Iași city (Romania) and its differences from in situ screen-level air temperature measurements', Sustainable Cities and Society, 94, 104568. https://doi.org/10.1016/j.scs.2023.104568.
The thermal city is not a single temperature field. Sfîcă and colleagues align MODIS land-surface temperature with screen-level air observations in Iași, making disagreement between two legitimate measurements the object of investigation rather than an error to suppress. Their analysis relates the geometry and intensity of the surface urban heat island to season, atmospheric circulation and impervious land cover. In spring and summer daylight conditions, surface and two-metre air temperatures can diverge by approximately 5–7°C; nighttime relationships differ. The study therefore interrupts a common slide from thermal imagery to claims about human exposure. Satellite surfaces, measured air and felt heat occupy different observational layers, each with its own spatial and temporal assumptions. The transferable operation is paired measurement: keep data streams distinct, register where they converge or diverge, and preserve the circumstances of observation. For walking-based comparative fieldwork, the mismatch is a research finding in its own right, especially across heterogeneous urban materials, slopes, shade structures and seasons.
De Ridder, K., Lauwaet, D. and Maiheu, B. (2015) 'UrbClim – a fast urban boundary layer climate model'. VITO, Mol, Belgium. Research manuscript.
UrbClim turns the urban atmosphere into an object that can be compared at a scale wider than the individual street but finer than conventional regional climate modelling. Its operation is selective simplification: an urban land-surface scheme, with representations of imperviousness, albedo, heat storage, roughness and anthropogenic heat, is coupled to a three-dimensional atmospheric boundary-layer model. Validation against observations from Toulouse, Ghent, Antwerp and Bilbao shows that this reduced architecture can reproduce important urban–rural climatic contrasts while running far faster than more elaborate mesoscale models. Its achievement is not an exhaustive reproduction of street-level experience; it is to make long integrations across urban domains computationally practicable. That distinction matters. Model resolution is an epistemic bargain, not a measure of observational completeness. A distributed European study could use such modelling to describe comparable background conditions, but must not mistake a grid-cell prediction for the microclimate a pedestrian encounters under a particular tree, beside a wall, or at a particular hour.