The cumulative dimensions of impact in resource regions

The development of mineral and energy resources worldwide has placed pressure on regional environments, economies and communities. The cumulative impacts, or cumulative effects, arising from overlapping development have stretched political systems that have traditionally been geared toward the regulation and management of individual resource developments, presenting challenges for policy makers, resource developers and civil society actors. An equally challenging task has been realisation of the potential development dividends of mineral and energy resources in the areas of business development, infrastructure, human development or the management of resource revenues. This paper introduces a special issue on ‘Understanding and Managing Cumulative Impacts in Resource Regions’. The special issue interrogates the effectiveness of new and traditional policy responses, explores methods and strategies to better respond to cumulative impacts, and details practical examples of collaborative and coordinated approaches. Papers cover a range of environmental, economic and social issues, geographical regions, commodities, and conceptual approaches. This introductory paper introduces the cumulative impact issues that have manifest in resource regions, critically appraises current conceptions of cumulative impacts, and details management and policy responses to address the cumulative dimensions of impact.     

矿山工业企业绿色经济评价指标体系研究

绿色经济是一种既注重生产经济发展,又注重资源、能源节约利用和生态环境可持续发展的经济。我国矿山企业传统经济评价往往忽视或过度简化了环境保护、资源合理利用、节能指标的量化经济评价,亟待改进。以“费用一收益”经济分析思想为基础,从生产经济、环境保护、资源合理利用和节能降耗四个方面综合构建了矿山工业企业绿色经济评价指标体系,并提出了应用指标体系评价时应注意的问题。     

“One thing leads to another”—Commodities,linkages and industrial development

With a particular focus on low income economies in SSA, this paper addresses the nature and determinants of linkages from the commodities sectors and challenges the received view that enclave development is an inherent characteristic of resource extraction, particularly in the hard and energy commodities sectors. It argues that there has been a steady increase in linkage development and that there are significant opportunities for deepening this process. The opportunities may be greater for backward than for forward linkages, particularly in the minerals and energy sectors. In making this case, this Discussion Paper draws on the experience of high income countries which have resource intensive economic structures, the geographical specificity of many resources and the growing interest of large resource extracting firms in outsourcing the production of inputs which are outside of their core competences and in supporting local production of some inputs, it sets out a general model of linkage development which distinguishes between win–win and win–lose outcomes.     

我国能源开发面临的问题与对策

分析了我国能源开发的现状,指出现行能源结构给能源开发和消费带来的三个主要问题:能源开发利用程度低、环境污染严重、现行能源战略不能满足社会可持续发展的需要.在此基础上,提出了调整现行能源结构、发展洁净煤技术、加大我国西部天然气开发的投入、发展核能和加大可再生能源的开发利用等发展战略.     

有色金属工业固废资源属性多维度评价体系构建——以锡尾矿为例

提升固废综合利用水平是近年各类政策、法规、标准的要求,从固废资源属性入手,全面分析和评价固废资源属性特征,有利于固废综合利用技术的开发应用,是提升固废综合利用水平的有效途径。本文针对目前固废资源属性特征评价体系缺失、资源属性数据缺乏等问题,以有色金属工业固废为例建立了一套资源属性评价体系。从有色金属工业固废自身的物质和能量属性,以及使其成为固废的环境、经济、技术、社会等6个维度构建评价指标体系,形成定性和定量相结合的14项指标,并以锡尾矿为例,进行实证。结果表明,除能量维度外,对锡尾矿开展资源化利用的综合潜力较大,其最具潜力的利用途径是回收有价金属,其次是作为陶瓷制品的原料,评价也指出未来在锡尾矿作为建材利用的技术方面仍需要加强研发和应用推广。评价结果以定量为主结合定性描述,为锡尾矿资源化利用方向提供了具体参照和指导,也为探索固废资源属性全面评价、完善固废资源属性数据库提供理论和方法学的借鉴。     

“土壤污染防治面临两大挑战”——专访中国科学院南京分院院长周健民

<正>2016年,国务院印发了《土壤污染防治行动计划》(以下简称"土十条")。这是我国土壤环境管理历史上里程碑式的文件。在中国科学院南京分院院长周健民看来,土壤污染具有长期性、复杂性和潜伏性的特点,所以其修复过程比大气和水污染治理所需技术更为综合、时间更为漫长。"土壤污染治理面临两大挑战:一是土壤污染的底数不清,我们还没建立起详细而完整的地块污染数据库;     

Analysis and application of forest fuels data

Recent advances in fire modeling permit quantitative estimations of fire behavior from quantitative inputs that describe the fuel array and conditions, such as weather and site data, under which it will burn. This paper describes the collection, analysis, and stratification of flammable forest fuels data for coniferous forest ecosystems in Montana and then illustrates the resource management application of these data in three areas: the development of the fire behavior model, a determination of the model's sensitivity to input errors as reflected by fire behavior prediction errors, and the development of a fire hazard simulator (TAROT). A new integrated stand simulator, GANDALF, is highlighted.Conclusions center on the need to integrate fire management into the land management planning decision-making process.This work was supported by a USDI National Park Service contract to Gradient Modeling, Inc., a nonprofit research foundation devoted to ecologic research and resource management applications, and by cooperative aid agreements between Gradient Modeling, Inc. and the USDA Forest Service, Intermountain Forest and Range Experiment Station, Northern Forest Fire Laboratory (Fire in Multiple Use Management, R, D, and A Program).     

基于能值分析的城市生态效率研究——以南京市为例

本文采用能值分析和数据包络分析方法,构建了城市物质代谢生态效率的度量模型,从代谢流量和生态效率两个角度评价了南京市生态经济系统1990～2010年间的可持续发展情况。结果表明：（1）21年来,南京地区的能值产出率和可持续指标不断降低,环境负载率呈持续增长趋势;（2）南京城市系统生态效率总体呈波动上升趋势,1990～2006年间资源生态效率一直低于环境生态效率,2006年后开始有所提升。虽然南京市生态效率有所提高,但未来的发展面临快速增长的环境压力等阻碍。为此,南京应优化进口能值组成,加大可更新资源开发力度,提高不可更新资源利用率,实现废弃物资源化等。     

A Complex Systems Model Approach to Quantified Mineral Resource Appraisal

For federal and state land management agencies, mineral resource appraisal has evolved from value-based to outcome-based procedures wherein the consequences of resource development are compared with those of other management options. Complex systems modeling is proposed as a general framework in which to build models that can evaluate outcomes. Three frequently used methods of mineral resource appraisal (subjective probabilistic estimates, weights of evidence modeling, and fuzzy logic modeling) are discussed to obtain insight into methods of incorporating complexity into mineral resource appraisal models. Fuzzy logic and weights of evidence are most easily utilized in complex systems models. A fundamental product of new appraisals is the production of reusable, accessible databases and methodologies so that appraisals can easily be repeated with new or refined data. The data are representations of complex systems and must be so regarded if all of their information content is to be utilized.The proposed generalized model framework is applicable to mineral assessment and other geoscience problems. We begin with a (fuzzy) cognitive map using (+1,0,–1) values for the links and evaluate the map for various scenarios to obtain a ranking of the importance of various links. Fieldwork and modeling studies identify important links and help identify unanticipated links. Next, the links are given membership functions in accordance with the data. Finally, processes are associated with the links; ideally, the controlling physical and chemical events and equations are found for each link. After calibration and testing, this complex systems model is used for predictions under various scenarios. Published on line     

A comprehensive set of resource use indicators from the micro to the macro level

Many of today's most urgent environmental problems arise from increasing volumes of worldwide production and consumption and the associated use of natural resources, including renewable and non-renewable raw materials, energy, water and land. Solid indicators to measure different dimensions of anthropogenic resource use are essential for designing appropriate policy measures for a sustainable management of these resources. Based on a brief review of the current state of the art of resource use indicators, this paper suggests a new set of complementary resource use indicators, combining existing measures for resource use. The suggested indicator set covers the core resource input categories of materials, water and land area and includes the output category of greenhouse gas emissions. This set can be applied consistently from the micro level of products and companies up to the macro level of countries and world regions. All suggested indicators take a life-cycle wide perspective on production and consumption activities. This set of indicators deals with the issue of the overall scale of the human production and consumption system. It can be regarded as the general indicator framework, based on which more specific indicators, for example, on different environmental impacts related to natural resource use, can be calculated.     

Identifying Opportunities for Decision Support Systems in Support of Regional Resource Use Planning: An Approach Through Soft Systems Methodology

/ Regional resource use planning relies on key regional stakeholder groups using and having equitable access to appropriate social, economic, and environmental information and assessment tools. Decision support systems (DSS) can improve stakeholder access to such information and analysis tools. Regional resource use planning, however, is a complex process involving multiple issues, multiple assessment criteria, multiple stakeholders, and multiple values. There is a need for an approach to DSS development that can assist in understanding and modeling complex problem situations in regional resource use so that areas where DSSs could provide effective support can be identified, and the user requirements can be well established. This paper presents an approach based on the soft systems methodology for identifying DSS opportunities for regional resource use planning, taking the Central Highlands Region of Queensland, Australia, as a case study.     

INTERFACING GIS WITH WATER RESOURCE MODELS: A STATE‐OF‐THE‐ART REVIEW1

Two distinctive, independently developed technologies, geographic information systems (GIS) and predictive water resource models, are being interfaced with varying degrees of sophistication in efforts to simultaneously examine spatial and temporal phenomena. Neither technology was initially developed to interact with the other, and as a result, multiple approaches to interface GIS with water resource models exist. Additionally, continued model enhancements and the development of graphical user interfaces (GUIs) have encouraged the development of application “suites” for evaluation and visualization of engineering problems. Currently, disparities in spatial scales, data accessibility, modeling software preferences, and computer resources availability prevent application of a universal interfacing approach. This paper provides a state‐of‐the‐art critical review of current trends in interfacing GIS with predictive water resource models. Emphasis is placed on discussing limitations to efficient interfacing and potential future directions, including recommendations for overcoming many current challenges.     

Global and regional potential of wastewater as a water,nutrient and energy source

There is a proactive interest in recovering water, nutrients and energy from waste streams with the increase in municipal wastewater volumes and innovations in resource recovery. Based on the synthesis of wastewater data, this study provides insights into the global and regional “potential” of wastewater as water, nutrient and energy sources while acknowledging the limitations of current resource recovery opportunities and promoting efforts to fast-track high-efficiency returns. The study estimates suggest that, currently, 380 billion m³ (m³ = 1,000 L) of wastewater are produced annually across the world which is a volume five-fold the volume of water passing through Niagara Falls annually. Wastewater production globally is expected to increase by 24% by 2030 and 51% by 2050 over the current level. Among major nutrients, 16.6 Tg (Tg = million metric ton) of nitrogen are embedded in wastewater produced worldwide annually; phosphorus stands at 3.0 Tg and potassium at 6.3 Tg. The full nutrient recovery from wastewater would offset 13.4% of the global demand for these nutrients in agriculture. Beyond nutrient recovery and economic gains, there are critical environmental benefits, such as minimizing eutrophication. At the energy front, the energy embedded in wastewater would be enough to provide electricity to 158 million households. These estimates and projections are based on the maximum theoretical amounts of water, nutrients and energy that exist in the reported municipal wastewater produced worldwide annually. Supporting resource recovery from wastewater will need a step-wise approach to address a range of constraints to deliver a high rate of return in direct support of Sustainable Development Goals (SDG) 6, 7 and 12, but also other Goals, including adaptation to climate change and efforts in advancing “net-zero” energy processes towards a green economy.     

Evaluating the prospects for sustainable energy development in a sample of Chinese villages

This paper describes the methods used to evaluate the potential for achieving sustainable energy development in six Chinese villages included in the Sustainable Users' Concepts for China Engaging Scientific Scenarios (SUCCESS) Project by examining energy efficiency potential and local renewable energy prospects. The approaches needed to obtain and analyse information on possible energy efficiency measures and renewable energy resources are summarised. Results are presented in terms of cumulative net savings in primary energy consumption, as an indicator of energy resource depletion, and associated carbon dioxide emissions, as an indicator of global climate change. Options for sustainable energy development are ranked in order of likely implementation and practical actions which could be considered in each village are identified.     

Ecosystem modeling with GIS

Management of natural resources is becoming a complex problem. To ensure sustainability of the resources, the manager must have better tools with which to make decisions. The development of simulation models that make use of GIS data bases is an emerging area of resource management. This paper examines several grid-based models and addresses the use of GIS programs to construct spatial dynamic models. Some considerations for the implementation of modeling using GIS data bases are provided. The capability to simulate ecosystem processes such as fire, erosion, and other factors will allow the resource manager to make more informed decisions by evaluating potential consequences on the computer.     

Valuing regional geoscientific data acquisition programmes: addressing issues of quantification,uncertainty and risk

Geological surveys worldwide are involved with research in support of sustainable mineral resource development.The socio-economic benefits to be derived from these activities, however, continue to raise organisational and government sector questions. Fundamental questions include whether or not the resources committed are appropriate and in economic balance with the total benefits to be derived. Another question concerns the degree to which such services should be funded by the community at large. These questions in turn raise important issues regarding the role and cost of geological surveys, the impact of their services, and how they should maximise community benefit from their activities and expertise. To assess the value of geoscientific information,standard valuation processes need to be modified. This paper reports on a methodology designed to quantify the 'worth' of programmes upgrading regional geoscientific infrastructure. An interdisciplinary approach is used to measure the impact of geoscientific information using quantitative resource assessment, computer-based mineral potential modelling, statistical analysis and risk quantification to model decision-processes and assess the impact of additional data. These modelling stages are used to address problems of complexity,uncertainty and credibility in the valuation of geoscientific data. A case study demonstrates the application of the methodology to generate a dollar value for current regional data upgrade programmes in the Geological Survey of Queensland. The results obtained are used for strategic planning of future data acquisition programmes aimed at supporting mineral resource management and stimulating effective exploration activity.     

A convective wind resource model for Solar Vortex power generation

ABSTRACT

Climate change has increased the need for clean, nonpolluting energy sources to decrease dependence on fossil fuels. Alternative energy sources, mainly solar and horizontal wind, have been the primary focus for producing clean energy. New technologies are being developed, such as the Solar Vortex (SoV), which was developed at the Georgia Institute of Technology, and relies on a vertical wind resource to generate power. The National Renewable Energy Lab (NREL) has resource models representing solar and horizontal wind resources across the 48 United States. This research developed a vertical wind resource model that is comparable in resolution to NREL’s solar and horizontal wind resource models and uses the model for estimating power output for the SoV. This model complements NREL’s existing resource models and supports the deployment of an additional clean energy generation technology. The model was applied to Mesa, Arizona to find feasible sites for a small-scale vertical wind farm.     

SYSTEMS ANALYSIS AND MODELING TECHNIQUES APPLIED TO WATER MANAGEMENT

This paper gives an overview of systems analysis and modeling applied to water resource management. With increased concern for economic efficiency in water resource usage, the need to exploit the complementary nature of various modes of usages has become more important. Systems analysis is particularly helpful in this regard because assessment of the relative allocation of costs and benefits of two more potential uses requires a systems framework. The process of systems analysis for comprehensive water planning is discussed outlining recognition of the problems, definition of a model, questions of data collection and finally implementation of a practical program of action. The methodology and advantages of water resources systems analysis are discussed relative to three main areas of concern - hydrologic uncertainty, objectives of governments and sponsoring agencies, and overlapping institutional and political boundaries.     

Developing alternative land-use scenarios to facilitate natural resource management across jurisdictional boundaries

Scenario planning is an effective approach for examining possible futures by exploring the implications and consequences of different policy responses to landscape stressors. We present here a case study that explores plausible futures of urban growth in Southern Nevada, USA that illustrates how scenario analysis can be used to inform region-wide resource management by spatially modeling drivers of change, resource impacts, and potential policy responses. Using a suite of energy, water and biodiversity impact models, we assess the outcomes of the various futures on priority resources, resulting in a clear basis of comparison between alternative policies and their potential outcomes. This case study demonstrates the utility of scenario modeling for natural resource management by exploring crucial policy decisions that might be made in the near-term that could have lasting and sometimes conflicting influences on regional resources over the long term.     

IMPACTS OF WATER USE EFFICIENCY ON ENERGY DEVELOPMENT1

ABSTRACT: To help meet national energy demands, interest has been focused on the coal, oil shale, and uranium deposits of the Upper Colorado River Basin. Several energy output projections for the basin have been presented based upon water availability. Inherent in all these analyses are estimates as to the rate of water use in each energy development. New energy technologies are characterized by parameters extrapolated from small scale energy facilities. The data provide projected costs, conversion efficiencies, and material inputs and outputs. Alternative techniques for process cooling and solids handling provide variable rates of water use which affect other conversion parameters. Results from a mathematical model are used in analyzing the sensitivity of an optimal energy development strategy for the Upper Colorado River Basin. The impacts of alternative water use rates are investigated in terms of net energy output, total cost, and displacements in the development strategy. Similarly, controls and regulations on energy resource development are evaluated.