The Science of the total environment
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Sci. Total Environ. · Feb 2017
Retraction Of PublicationWITHDRAWN: Cause and predictability for the severe haze pollutions in downtown Beijing during November-December 2015.
This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/our-business/policies/article-withdrawal.
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Sci. Total Environ. · Feb 2017
Engineering imaginaries: Anticipatory foresight for solar radiation management governance.
Since solar radiation management (SRM) technologies do not yet exist and capacities to model their impacts are limited, proposals for its governance are implicitly designed not around realities, but possibilities - baskets of risk and benefit that are often components of future imaginaries. This paper reports on the project Solar Radiation Management: Foresight for Governance (SRM4G), which aimed to encourage an anticipatory mode of thinking about the future of an engineered climate. ⋯ The scenarios then provided the context for the design of systems of governance with the capacity and legitimacy to respond to those challenges, and for the evaluation of the advantages and drawbacks of different options against a wide range of imaginary but plausible futures. SRM4G sought to initiate a conversation within the SRM research community on the capacity of foresight approaches to highlight the centrality of conceptions of the future to discussions of SRM's threats and opportunities, and in doing so, examined and challenged the assumptions embedded in conceptualizing SRM's aims, development and governance, and discussed the capacity of governance options to adapt to a wide range of possibilities.
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Sci. Total Environ. · Feb 2017
Evaluating the influence of geo-environmental factors on gully erosion in a semi-arid region of Iran: An integrated framework.
Despite the importance of soil erosion in sustainable development goals in arid and semi-arid areas, the study of the geo-environmental conditions and factors influencing gully erosion occurrence is rarely undertaken. As effort to this challenge, the main objective of this study is to apply an integrated approach of Geographic Object-Based Image Analysis (GEOBIA) together with high-spatial resolution imagery (SPOT-5) for detecting gully erosion features at the Kashkan-Poldokhtar watershed, Iran. We also aimed to apply a Conditional Probability (CP) model for establishing the spatial relationship between gullies and the Geo-Environmental Factors (GEFs). ⋯ The validation findings illustrated that overall accuracy for GEOBIA approach and the area under the ROC curve for the CP model were 92.4% and 89.9%, respectively. Also, based on sensitivity analysis, soil texture, drainage density, and lithology represent significantly effects on the gully erosion occurrence. This study has shown that the integrated framework can be successfully used for modeling gully erosion occurrence in a data-poor environment.