Many nature-based solutions are seen as favourable and effective measures to increase urban resilience during more extreme weather events, by for example decrease high temperatures in summer. Since space is often scarce in urban environments, roofs have received increased attention in mitigating the consequences of climate change in urban areas. This resulted in a variety of roof systems of green and blue-green roofs designed as an integral part of the built environment due to their hydrological, insulative and biodiverse capacities. This study examined the impact of blue-green, and conventional roofs on roof surface temperatures, indoor temperatures and insulative properties of the building. Temperature sensors (IButtons) have been used for summer and winter measurements on roofs for early 20th century buildings in the city of Amsterdam (NL).The results indicate the strongest effect of blue-green roofs on surface temperatures in summer, with significantly lower surface temperatures (2-3°C) than for conventional roofs. During winter days, the surface temperatures were not significantly different on blue-green roofs than on conventional roofs. The measurements in the water crate layers of blue-green roofs show an all year-round temperature buffering effect. During hot summer days, the temperature in the water storage of the blue-green roof was much lower than other measured surfaces (up to 12 °C and 7 °C compared to gravel roofs and the blue-green roof substrate, respectively) and also experienced the least diurnal variation. Similarly, the empty water crate layer showed up to 3 °C higher minimum temperatures during cold winter nights. The measurements also show a small positive systematic effect on the indoor environment under a blue-green roof compared to traditional gravel roof type. The variation in indoor temperature is smaller underneath the blue-green roofs compared to the reference roofs during both warm and cold periods (0.19 – 0.35 °C reduction in STD). This suggests that rooms located under a blue-green roof are less sensitive to the outside air temperature and its natural diurnal variation.Although the effect on indoor thermal comfort seems to be small, blue-green roofs contribute to overall greening of the city. Second, thanks to the water storage the potential for growing biodiverse vegetation is higher than on extensive green roofs.
Environmental or ‘green' education is an important driving force behind the ‘greening' of society as it plays a critical role in raising environmental awareness and preparing students for green jobs. None of the existing environmental attitudes and behavior measures is focused on the evaluation of green education, especially in relation to consumption. To date, no longitudinal studies of children and students' attitudes towards consumption influenced by education exist. Also, little has been done to explore the socio-cultural context in which attitudes toward consumption are being formed and to explain the cross-cultural differences in environmental attitudes. This pilot study is designed to take the first step towards developing methods complementing existing quantitative measurements with qualitative strategies, such as consumption diaries, focus groups, and concept mapping. While this research is just a first attempt to tackle children's knowledge and attitudes consumption, preliminary results of the research on which this chapter is based and enthusiasm of the research participants encourage the author to stress the importance of consumption studies as part of green education for educational program developers. As a chapter of this volume, the author hopes that this study will add to the anthropological depository of research on the cultural variants in the perception of the environment in children. This chapter draws upon the consumption diaries collected from the upper-elementary school children in Amsterdam, The Netherlands, between September 2009 and May 2010. Consumption diaries are chronological documents recording purchase, use, and waste of materials, which can be used both as analytical tools and the means to stimulate environmental awareness. The four main methodological steps involved in this research were as follows. Children were asked to complete the consumption diary, paying specific attention to use and waste materials. Consequently, focus group meetings were held with parents and their children to discuss the diaries. Finally, interviews with the children were conducted in order to generate statements that supplement those generated by focus groups for carrying out the concept mapping analysis. The concept mapping analysis was then conducted to organize the order and analyze the ideas expressed in the focus group and interview sessions. This is an Accepted Manuscript of a book chapter published by Routledge/CRC Press in "Environmental Anthropology Today" on 8/5/11 available online: https://doi.org/10.4324/9780203806906 LinkedIn: https://www.linkedin.com/in/helenkopnina/
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Green data centres are the talk of the day. But who in fact is involved in developing green data centres? What is their contribution? And what does this contribution constitute in practical terms? This article states which stakeholders are involved in green data centres in the Netherlands, what their involvement is and what effect their involvement has. The article starts by giving the definitions for sustainability and by determining the stakeholders and their possibilities in this field. Next, we examine the actual impact of each stakeholder for arriving at greener data centres. This leads to a number of conclusions for achieving a larger degree of sustainability.
Het is een tijds- en kostenintensief proces om de conditie van assets in de publieke ruimte te monitoren. Nieuwe technologie in de vorm van 3D LiDAR scanning biedt nieuwe mogelijkheden voor conditiemonitoring. Het doel van deze KIEM-aanvraag is (i) om de hardware geschikt te maken voor frequente en goedkope opnames in de stedelijke omgeving, (ii) de analysetechnieken van de geproduceerde datasets verder te ontwikkelen en (iii) een geannoteerde dataset gefocust op asset management te produceren. Dit zorgt ervoor dat publieke en MKB-partijen slimmere, snellere en volledigere onderhoudsbeslissingen kunnen nemen. Het consortium van Fietskoerier.nl, Sonarski, Gemeente Amsterdam en de Hogeschool van Amsterdam heeft elkaar gevonden in de vraag: “Hoe kan (publieke) LiDAR data bijdragen aan SMART Asset Management?” Dit project bevat een unieke combinatie van twee technologieën die op dit moment in ontwikkeling zijn (i) sensor data gedreven conditiemonitoring en (ii) point cloud algoritmes op LiDAR data. Fietskoerier.nl heeft de resources om op een duurzame manier de stad in kaart te brengen. Sonarski heeft een oplossing voor het uitvoeren van de 3D scans en Gemeente Amsterdam is een belangrijke kennispartner en heeft groot scala aan assets in de publieke ruimte. De deelnemers van dit project zien deze aanvraag als een eerste stap en hebben de intentie om te groeien tot een groter consortium welke de gehele keten van onderhoud omvat.
The demand for mobile agents in industrial environments to perform various tasks is growing tremendously in recent years. However, changing environments, security considerations and robustness against failure are major persistent challenges autonomous agents have to face when operating alongside other mobile agents. Currently, such problems remain largely unsolved. Collaborative multi-platform Cyber- Physical-Systems (CPSs) in which different agents flexibly contribute with their relative equipment and capabilities forming a symbiotic network solving multiple objectives simultaneously are highly desirable. Our proposed SMART-AGENTS platform will enable flexibility and modularity providing multi-objective solutions, demonstrated in two industrial domains: logistics (cycle-counting in warehouses) and agriculture (pest and disease identification in greenhouses). Aerial vehicles are limited in their computational power due to weight limitations but offer large mobility to provide access to otherwise unreachable places and an “eagle eye” to inform about terrain, obstacles by taking pictures and videos. Specialized autonomous agents carrying optical sensors will enable disease classification and product recognition improving green- and warehouse productivity. Newly developed micro-electromechanical systems (MEMS) sensor arrays will create 3D flow-based images of surroundings even in dark and hazy conditions contributing to the multi-sensor system, including cameras, wireless signatures and magnetic field information shared among the symbiotic fleet. Integration of mobile systems, such as smart phones, which are not explicitly controlled, will provide valuable information about human as well as equipment movement in the environment by generating data from relative positioning sensors, such as wireless and magnetic signatures. Newly developed algorithms will enable robust autonomous navigation and control of the fleet in dynamic environments incorporating the multi-sensor data generated by the variety of mobile actors. The proposed SMART-AGENTS platform will use real-time 5G communication and edge computing providing new organizational structures to cope with scalability and integration of multiple devices/agents. It will enable a symbiosis of the complementary CPSs using a combination of equipment yielding efficiency and versatility of operation.
