The Experts below are selected from a list of 164700 Experts worldwide ranked by ideXlab platform
Goran Vučković - One of the best experts on this subject based on the ideXlab platform.
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THE EFFECT OF Environmental Indicators TO THE WASTE TREATMENT SCENARIOS RANKING
2015Co-Authors: Biljana Milutinović, Gordana Stefanović, Goran Vučković, Mladen Tomić, Petar S. ĐekićAbstract:The selection of an appropriate waste treatment scenario is a complex problem in which a set of Environmental, economic, and social criteria must be taken into account. Different waste treatment scenarios have different effects on the environment, which is expressed through a variety of Environmental Indicators. The main problem is to determine the Indicators that clearly and fully express the most important influential factors. This paper presents a number of different Environmental Indicators and their influence on the waste treatment scenarios ranking. The study is carried out on the example of waste management in the city of Nis. Four scenarios are developed: the business as a usual scenario (meaning the landfilling of waste) and the three other scenarios with energy recovery and preservation of resources including composting organic waste with recycling inorganic waste, incineration of waste, and anaerobic digestion of waste. Four experiments were conducted in order to assess the influence of Environmental Indicators: the first experiment was done using four Indicators, the second by using seven Indicators, the third experiment by using nine Indicators, and the fourth experiment by twelve Indicators. The ranking of each scenario was performed on the basis of a multi-criteria analysis, the Analytic Hierarchy Process (AHP method). The obtained results have shown that the increasing number of Environmental Indicators has led to a change in the ranking of scenarios in terms of their impact on the environment. Namely, it is necessary to increase the number of Environmental Indicators to a number which will be sufficient to carry out the relevant waste treatment scenario ranking in terms of the impact on the environment.
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THE EFFECT OF Environmental Indicators ON THE WASTE TREATMENT SCENARIOS RANKING UDC 628.4:005.311.6
2015Co-Authors: Goran VučkovićAbstract:The selection of an appropriate waste treatment scenario is a complex problem in which a set of Environmental, economic, and social criteria must be taken into account. Different waste treatment scenarios have different effects on the environment, which is expressed through a variety of Environmental Indicators. The main problem is to determine the Indicators that clearly and fully express the most important influential factors. This paper presents a number of different Environmental Indicators and their influence on the waste treatment scenarios ranking. The study is carried out on the example of waste management in the city of Nis. Four scenarios are developed: the business as a usual scenario (meaning the landfilling of waste) and the three other scenarios with energy recovery and preservation of resources including composting organic waste with recycling inorganic waste, incineration of waste, and anaerobic digestion of waste. Four experiments were conducted in order to assess the influence of Environmental Indicators: the first experiment was done using four Indicators, the second by using seven Indicators, the third experiment by using nine Indicators, and the fourth experiment by twelve Indicators. The ranking of each scenario was performed on the basis of a multi-criteria analysis, the Analytic Hierarchy Process (AHP method). The obtained results have shown that the increasing number of Environmental Indicators has led to a change in the ranking of scenarios in terms of their impact on the environment. Namely, it is necessary to increase the number of Environmental Indicators to a number which will be sufficient to carry out the relevant waste treatment scenario ranking in terms of the impact on the environment.
Brian A. Needelman - One of the best experts on this subject based on the ideXlab platform.
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Environmental Indicators of Agroecosystems
Advances in Agronomy, 1999Co-Authors: O.h. Smith, G. W. Petersen, Brian A. NeedelmanAbstract:Conventional production agricultural practices are partly responsible for intensifying the degradation of productive lands throughout the world. In monitoring the impacts of these practices, a variety of biological, physical, chemical, landscape, and economic measures are being used as Indicators of Environmental change. This chapter is largely a review of both common and uncommonly used Environmental Indicators of agricultural systems. Soil organic matter content is discussed in detail as a candidate Environmental indicator. A ranking scheme is proposed for the use of multiple Indicators in decision-making applications.
J. Shutler - One of the best experts on this subject based on the ideXlab platform.
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On the potential of surfers to monitor Environmental Indicators in the coastal zone
PLoS ONE, 2015Co-Authors: Robert J. W. Brewin, Lee De Mora, Thomas G. Brewin, Thomas Jackson, J. ShutlerAbstract:The social and economic benefits of the coastal zone make it one of the most treasured environments on our planet. Yet it is vulnerable to increasing anthropogenic pressure and climate change. Coastal management aims to mitigate these pressures while augmenting the socio-economic benefits the coastal region has to offer. However, coastal management is challenged by inadequate sampling of key Environmental Indicators, partly due to issues relating to cost of data collection. Here, we investigate the use of recreational surfers as platforms to improve sampling coverage of Environmental Indicators in the coastal zone. We equipped a recreational surfer, based in the south west United Kingdom (UK), with a temperature sensor and Global Positioning System (GPS) device that they used when surfing for a period of one year (85 surfing sessions). The temperature sensor was used to derive estimates of sea-surface temperature (SST), an important Environmental indicator, and the GPS device used to provide sample location and to extract information on surfer performance. SST data acquired by the surfer were compared with data from an oceanographic station in the south west UK and with satellite observations. Our results demonstrate: (i) high-quality SST data can be acquired by surfers using low cost sensors; and (ii) GPS data can provide information on surfing performance that may help motivate data collection by surfers. Using recent estimates of the UK surfing population, and frequency of surfer participation, we speculate around 40 million measurements on Environmental Indicators per year could be acquired at the UK coastline by surfers. This quantity of data is likely to enhance coastal monitoring and aid UK coastal management. Considering surfing is a world-wide sport, our results have global implications and the approach could be expanded to other popular marine recreational activities for coastal monitoring of Environmental Indicators.
Virginia H. Dale - One of the best experts on this subject based on the ideXlab platform.
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Environmental Indicators for sustainable production of algal biofuels
Ecological Indicators, 2015Co-Authors: Rebecca A. Efroymson, Virginia H. DaleAbstract:Abstract For analyzing sustainability of algal biofuels, we identify 16 Environmental Indicators that fall into six categories: soil quality, water quality and quantity, air quality, greenhouse gas emissions, biodiversity, and productivity. Indicators are selected to be practical, widely applicable, predictable in response, anticipatory of future changes, independent of scale, and responsive to management. Major differences between algae and terrestrial plant feedstocks, as well as their supply chains for biofuel, are highlighted, for they influence the choice of appropriate sustainability Indicators. Algae strain selection characteristics do not generally affect which Indicators are selected. The use of water instead of soil as the growth medium for algae determines the higher priority of water- over soil-related Indicators. The proposed set of Environmental Indicators provides an initial checklist for measures of algal biofuel sustainability but may need to be modified for particular contexts depending on data availability, goals of stakeholders, and financial constraints. Use of these Indicators entails defining sustainability goals and targets in relation to stakeholder values in a particular context and can lead to improved management practices.
Nikolaos Misopolinos - One of the best experts on this subject based on the ideXlab platform.
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selecting agri Environmental Indicators to facilitate monitoring and assessment of eu agri Environmental measures effectiveness
Journal of Environmental Management, 2004Co-Authors: George C Zalidis, Maria A Tsiafouli, V Takavakoglou, George Bilas, Nikolaos MisopolinosAbstract:Since its introduction in the early 1960s, the EU Common Agricultural Policy (CAP) has demonstrated a capacity to adapt and change in the face of new challenges. The reformed CAP, under AGENDA 2000, encourages more Environmentally friendly farming practices. In the context of their rural development plans, Member States are required to link policies on agriculture with protection of the environment and to ensure that farmers meet Environmental standards. Additionally, Member States should maintain and restore the quality of both their aquatic and adjacent terrestrial ecosystems according to the Directive 2000/60/EU, 'Establishing a framework for Community Action in the field of Water Policy'. Within this framework, agri-Environmental Indicators play an important role in planning and implementing CAP guidelines. However, selection and use of the proper Indicators remains unresolved, considering that ecosystem processes are complex and interactions in most cases not obvious. This paper proposes a methodology for assessing the Environmental state and impacts of current land use and management when implementing agri-Environmental measures of CAP. The proposed methodology includes a modified Driving forces-Pressures-Impacts-Responses (DPSIR) framework, identification of Zones of Specific Functional Interest (ZSFI), and criteria for selecting agri-Environmental Indicators, which assess the functional performance of each zone and meet existing legislation. The Mygdonia Watershed (Greece) is an example where through use of both the appropriate Minimum Data Set of agri-Environmental Indicators at the identified zones and the proposed modified DPSIR, the functioning performance of each ZSFI can be assessed to evaluate the applied agri-Environmental measures.