The water footprint assessment manual: setting the global standard

This book contains the global standard for \u27water footprint assessment\u27 as developed and maintained by the Water Footprint Network (WFN). It covers a comprehensive set of definitions and methods for water footprint accounting. It shows how water footprints are calculated for individual processes and products, as well as for consumers, nations and businesses. It also includes methods for water footprint sustainability assessment and a library of water footprint response options. A shared standard on definitions and calculation methods is crucial given the rapidly growing interest in companies and governments to use water footprint accounts as a basis for formulating sustainable water strategies and policies

Mesoscale mapping of sediment source hotspots for dam sediment management in data-sparse semi-arid catchments

Land degradation and water availability in semi-arid regions are interdependent challenges for management that are influenced by climatic and anthropogenic changes. Erosion and high sediment loads in rivers cause reservoir siltation and decrease storage capacity, which pose risk on water security for citizens, agriculture, and industry. In regions where resources for management are limited, identifying spatial-temporal variability of sediment sources is crucial to decrease siltation. Despite widespread availability of rigorous methods, approaches simplifying spatial and temporal variability of erosion are often inappropriately applied to very data sparse semi-arid regions. In this work, we review existing approaches for mapping erosional hotspots, and provide an example of spatial-temporal mapping approach in two case study regions. The barriers limiting data availability and their effects on erosion mapping methods, their validation, and resulting prioritization of leverage management areas are discussed.BMBF, 02WGR1421A-I, GROW - Verbundprojekt SaWaM: Saisonales Wasserressourcen-Management in Trockenregionen: Praxistransfer regionalisierter globaler Informationen, Teilprojekt 1DFG, 414044773, Open Access Publizieren 2019 - 2020 / Technische Universität Berli

Identifying hotspots and management of critical ecosystem services in rapidly urbanizing Yangtze River Delta Region, China

Rapid urbanization has altered many ecosystems, causing a decline in many ecosystem services, generating serious ecological crisis. To cope with these challenges, we presented a comprehensive framework comprising five core steps for identifying and managing hotspots of critical ecosystem services in a rapid urbanizing region. This framework was applied in the case study of the Yangtze River Delta (YRD) Region. The study showed that there was large spatial heterogeneity in the hotspots of ecosystem services in the region, hotspots of supporting services and regulating services aggregately distributing in the southwest mountainous areas while hotspots of provisioning services mainly in the northeast plain, and hotspots of cultural services widespread in the waterbodies and southwest mountainous areas. The regionalization of the critical ecosystem services was made through the hotspot analysis. This study provided valuable information for environmental planning and management in a rapid urbanizing region and helped improve China's ecological redlines policy at regional scale

Interactive Visual Analysis of Networked Systems: Workflows for Two Industrial Domains

We report on a first study of interactive visual analysis of networked systems. Working with ABB Corporate Research and Ericsson Research, we have created workflows which demonstrate the potential of visualization in the domains of industrial automation and telecommunications. By a workflow in this context, we mean a sequence of visualizations and the actions for generating them. Visualizations can be any images that represent properties of the data sets analyzed, and actions typically either change the selection of data visualized or change the visualization by choice of technique or change of parameters

End-of-life vehicle (ELV) recycling management: improving performance using an ISM approach

With booming of the automobile industry, China has become the country with increasing car ownership all over the world. However, the end-of-life vehicle (ELV) recycling industry is at infancy, and there is little systematic review on ELV recycling management, as well as low adoption amongst domestic automobile industry. This study presents a literature review and an interpretive structural modeling (ISM) approach is employed to identify the drivers towards Chinese ELV recycling business from government, recycling organizations and consumer’s perspectives, so as to improve the sustainability of automobile supply chain by providing some strategic insights. The results derived from the ISM analysis manifest that regulations on auto-factory, disassembly technique, and value mining of recycling business are the essential ingredients. It is most effective and efficient to promote ELV recycling business by improving these attributes, also the driving and dependence power analysis are deemed to provide guidance on performance improvement of ELV recycling in the Chinese market

Exploring Urban Spaces across Human-Natural systems and the Potential to Enhance City Resilience

In dieser Dissertation werden vier Studien durchgeführt, um die acht Arten von Räumen in Mensch-Natur-Systemen für die Widerstandsfähigkeit von Städten vorzuschlagen, die Verbesserung von städtischen Grünflächen unter qualitativen und quantitativen Gesichtspunkten zu analysieren, die Beziehung zwischen UGSLandschaftsmerkmalen und menschlichen Emotionen zu bestimmen und das Konzept der selbstlernenden Stadt für die städtische Raumplanung zu veranschaulichen. (1). Unterschiedliche Strategien in den Acht-Typen-Räumen in Mensch-Natur-Systemen. (2). Verbesserung der städtischen Grünflächen mit natürlichem Angebot und menschlicher Nachfrage. (3). Das Konzept der selbstlernenden Stadt für urbane Nachhaltigkeit. (4) Für die städtische Nachhaltigkeit erfordert die Planung eine Neubewertung der Verbindungen zwischen den verschiedenen menschlichen und natürlichen Systemen mit den Wechselwirkungen zwischen Bedarf und Versorgung Städtische Räume sind komplex, weisen aber in verschiedenen Methoden und Konzepten Regelmäßigkeiten auf. Für eine nachhaltige Entwicklung in Städten sind kreative Denkansätze für die Umsetzung und Integration von sich überschneidenden Räumen, Elementen und Kulturen in städtischen Mensch-Natur-Systemen erforderlich. Um eine nachhaltige Stadt zu schaffen, sind urbane Räume unerlässlich.This dissertation conducts four studies to propose the eight-type spaces in human-natural systems for city resilience, to analyze the improvement of urban green spaces from quality and quantity perspectives, to determine the relationship between UGS landscape characteristics and human emotions and to illustrate the concept of city self-learning for urban space planning. (1). Different strategies in the eight-type spaces across human-natural systems. (2). Improving urban green spaces with natural supply and human demand. (3). The concept of city self-learning for urban sustainability. (4) For urban sustainability, planning requires reevaluating the connections between different human-natural systems with the interactions of demands and supplies. Dissertation title: Exploring Urban Spaces across Human-Natural systems And the Potential to Enhance City Resilience Urban spaces are complex but have regularity in several methods and concepts. For sustainable development in cities, creative ways to think about implementations and integrations utilize crossing spaces, elements, and cultures in urban human-natural systems. To make a sustainable city, urban spaces are essential

Organic agriculture and climate change mitigation - A report of the Round Table on Organic Agriculture and Climate Change

Summary and next steps Participants of the workshop were able to draw from their discussions and from the input of guest speakers and synthesize a set of conclusions that can be used to guide future activities concerning LCAs and other activities that seek to identify and quantify the potential contributions of organic agriculture to climate change mitigation. - LCA is the best tool for measuring GHG emissions related to agricultural products. - There is a risk of oversimplification when focusing on climate change as a single environmental impact category. - Farm production and transport (at least for plant products) are important hotspots for agricultural products. - Studies have shown no remarkable difference in GHG emissions between organic and conventional but, traditionally, soil carbon changes have not been included – which can have a major impact, especially for plant products. - The challenges of LCA of organic products – accounting for carbon sequestration and interactions in farming systems, including the environmental costs of manure – need to be addressed. - Attempts should be made to secure a consistent LCA methodology for agricultural products, including organic products

CPC: Crime, Policing and Citizenship - Intelligent Policing and Big Data

Crime, Policing and Citizenship (CPC) – Space-Time Interactions of Dynamic Networks has been a major UK EPSRC-funded research project. It has been a multidisciplinary collaboration of geoinformatics, crime science, computer science and geography within University College London (UCL), in partnership with the Metropolitan Police Service (MPS). The aim of the project has been to develop new methods and applications in space-time analytics and emergent network complexity, in order to uncover patterning and interactions in crime, policing and citizen perceptions. The work carried out throughout the project will help inform policing at a range of scales, from the local to the city-wide, with the goal of reducing both crime and the fear of crime. The CPC project is timely given the tremendous challenging facing policing in big cities nationally and globally, as consequences of changes in society, population structure and economic well-being. It addresses these issues through an intelligent approach to data-driven policing, using daily reported crime statistics, GPS traces of foot and vehicular patrols, surveys of public attitudes and geo-temporal demographic data of changing community structure. The analytic focus takes a spatio-temporal perspective, reflecting the strong spatial and temporal integration of criminal, policing and citizen activities. Street networks are used throughout as a basis for analysis, reflecting their role as a key determinant of urban structure and the substrate on which crime and policing take place. The project has presented a manifesto for ‘intelligent policing’ which embodies the key issues arising in the transition from Big Data into actionable insights. Police intelligence should go beyond current practice, incorporating not only the prediction of events, but also how to respond to them, and how to evaluate the actions taken. Cutting-edge network-based crime prediction methods have been developed to accurately predict crime risks at street segment level, helping police forces to focus resources in the right places at the right times. Methods and tools have been implemented to support senior offices in strategic planning, and to provide guidance to frontline officers in daily patrolling. To evaluate police performance, models and tools have been developed to aid identification of areas requiring greater attention, and to analyse the patrolling behaviours of officers. Methods to understand and model confidence in policing have also been explored, suggesting strategies by which confidence in the police can be improved in different population segments and neighbourhood areas. A number of tools have been developed during the course of the project include data-driven methods for crime prediction and for performance evaluation. We anticipate that these will ultimately be adopted in daily policing practice and will play an important role in the modernisation of policing. Furthermore, we believe that the approaches to the building of public trust and confidence that we suggest will contribute to the transformation and improvement of the relationship between the public and police