scholarly journals The co-development of HedgeDATE, a public engagement and decision support tool for air pollution exposure mitigation by green infrastructure

2021 ◽  
Vol 75 ◽  
pp. 103299
Author(s):  
Yendle Barwise ◽  
Prashant Kumar ◽  
Arvind Tiwari ◽  
Fahad Rafi-Butt ◽  
Aonghus McNabola ◽  
...  
PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245729
Author(s):  
Ipsita Das ◽  
Jessica J. Lewis ◽  
Ramona Ludolph ◽  
Melanie Bertram ◽  
Heather Adair-Rohani ◽  
...  

Cooking with polluting and inefficient fuels and technologies is responsible for a large set of global harms, ranging from health and time losses among the billions of people who are energy poor, to environmental degradation at a regional and global scale. This paper presents a new decision-support model–the BAR-HAP Tool–that is aimed at guiding planning of policy interventions to accelerate transitions towards cleaner cooking fuels and technologies. The conceptual model behind BAR-HAP lies in a framework of costs and benefits that is holistic and comprehensive, allows consideration of multiple policy interventions (subsidies, financing, bans, and behavior change communication), and realistically accounts for partial adoption and use of improved cooking technology. It incorporates evidence from recent efforts to characterize the relevant set of parameters that determine those costs and benefits, including those related to intervention effectiveness. Practical aspects of the tool were modified based on feedback from a pilot testing workshop with multisectoral users in Nepal. To demonstrate the functionality of the BAR-HAP tool, we present illustrative calculations related to several cooking transitions in the context of Nepal. In accounting for the multifaceted nature of the issue of household air pollution, the BAR-HAP model is expected to facilitate cross-sector dialogue and problem-solving to address this major health, environment and development challenge.


Author(s):  
Karen Wuyts ◽  
Wenke Smets ◽  
Sarah Lebeer ◽  
Roeland Samson

Abstract The microbial habitat on leaf surfaces, also called the phyllosphere, is a selective environment for bacteria, harbouring specific phyllosphere bacterial communities (PBCs). These communities influence plant health, plant-community diversity, ecosystem functioning and ecosystem services. Host plants in an urban environment accommodate different PBCs than those in non-urban environments, but previous studies did not address individual urban factors. In this study, the PBC composition and diversity of 55 London plane (Platanus x acerifolia) trees throughout an urban landscape (Antwerp, Belgium) was determined using 16S rRNA amplicon sequencing. An increasing proportion of green infrastructure in the surrounding of the trees, and subsequently decreasing proportion of anthropogenic land use, was linked with taxa loss, expressed in lower phyllosphere alpha diversity and higher abundances of typical phyllosphere bacteria such as Hymenobacter, Pseudomonas and Beijerinckia. Although air pollution exposure, as assessed by leaf magnetic analysis, did not link with alpha diversity, it correlated with shifts in PBC composition in form of turnover, an equilibrium of taxa gain and taxa loss. We found that both urban landscape composition and air pollution exposure—each in their own unique way—influence bacterial communities in the urban tree phyllosphere.


Elem Sci Anth ◽  
2017 ◽  
Vol 5 ◽  
Author(s):  
Erika von Schneidemesser ◽  
Rebecca D. Kutzner ◽  
Julia Schmale†

Decision-support tools are increasingly popular for informing policy decisions linked to environmental issues. For example, a number of decision-support tools on transport planning provide information on expected effects of different measures (actions, policies, or interventions) on air quality, often combined with information on noise pollution or mitigation costs. These tools range in complexity and scale of applicability, from city to international, and include one or several polluting sectors. However, evaluation of the need and utility of tools to support decisions on such linked issues is often lacking, especially for tools intended to support local authorities at the city scale. Here we assessed the need for and value of combining air pollution and climate change mitigation measures into one decision-support tool and the existing policy context in which such a tool might be used. We developed a prototype decision-support tool for evaluating measures for coordinated management of air quality and climate change; and administered a survey in which respondents used the prototype to answer questions about demand for such tools and requirements to make them useful. Additionally, the survey asked questions about participants’ awareness of linkages between air pollution and climate change that are crucial for considering synergies and trade-offs among mitigation measures. Participants showed a high understanding of the linkages between air pollution and climate change, especially recognizing that emissions of greenhouse gases and air pollutants come from the same source. Survey participants were: European, predominantly German; employed across a range of governmental, non-governmental and research organizations; and responsible for a diversity of issues, primarily involving climate change, air pollution or environment. Survey results showed a lack of awareness of decision-support tools and little implementation or regular use. However, respondents expressed a general need for such tools while also recognizing barriers to their implementation, such as limited legal support or lack of time, finances, or manpower. The main barrier identified through this study is the mismatch between detailed information needed from such tools to make them useful at the local implementation scale and the coarser scale information readily available for developing such tools. Significant research efforts at the local scale would be needed to populate decision-support tools with salient mitigation alternatives at the location of implementation. Although global- or regional-scale information can motivate local action towards sustainability, effective on-the-ground implementation of coordinated measures requires knowledge of local circumstances and impacts, calling for active engagement of the local research communities.


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