Spatial economic theory of pollution control

In February 1972 the Nixon Administration proposed a tax on sulfur oxide emissions, beyond the Federal standards, of electric power plants. It was hoped that such a tax would discourage power plant locations in heavily polluted areas like urban areas. Assuming that such a tax varies over space because pollution is not invariant over space, the spatial theory of the firm is presented in this paper cast doubt on the efficacy of such a polltuion tax to achieve the desired goal of the administration. In particular it is shown that the cost-minimizing spatial firm would abate its pollution in response to a tax by either changing its location or by reducing waste through process change or by using a transportable abatement good if the tax savings due to the change in marginal abatement through location change per unit change in abatement is greater than or equal to transport rate on the abatement good. If the goal of the firm is to maximize profits, the desired outcome would follow if in addition to the fulfillment of the above condition the percentage change in the delivered price of raw material (situated at one end of the linear location space) per unit distance is greater than or equal to the percentage change in net marginal revenue, i.e., marginal revenue net of transport cost per unit of output. In simple terms, the conclusions of this paper raise doubts regarding the effectiveness of a pollution tax in curtailing pollution of a firm which is operating in a space economy. This outcome is peculiar to a spatial firm. Sufficient conditions also have been obtained when land input is included in the production function of the firm.     

Synthesis and spatial dynamics of socio-economic metabolism and land use change of Taipei Metropolitan Region

Ever since the concept of metabolism was extended from biological science by social scientists to analyze human systems, socio-economic metabolism has been extensively applied to explore resource consumption, asset accumulation, waste emissions, and complex processes of land use change in a socio-economic system. Current research in socio-economic metabolism and land use change has used accounting approaches for macroscopic comparisons of countries and regions. However, socio-economic metabolism has seldom been applied to the analysis of land use change. To simulate the spatial-temporal dynamics of socio-economic metabolism and land use change, this study adopts a spatial system modeling method to develop a Socio-Economic Metabolism and Land Use Change (SEMLUC) model for the Taipei Metropolitan Region. The simulation results illustrate that the Taipei Metropolitan Region is highly dependent on inflows of non-renewable energy and exhibits a spatial hierarchy of non-renewable energy consumption centering on Taipei's Main station. Additionally, urban assets provide feedback to natural and agricultural systems to extract additional resource inflows which, driven by the maximum power principle, accelerate the convergence of energy flows toward urban assets. Accumulating urban assets also facilitates inflows of non-renewable material to nearby cells thereby enhancing land use conversion to urban areas. This work also demonstrates the capability of ArcGIS software in simulating socio-economic metabolism and land use change in an urban system.     

Use of Inverse Spatial Conservation Prioritization to Avoid Biological Diversity Loss Outside Protected Areas

Globally expanding human land use sets constantly increasing pressure for maintenance of biological diversity and functioning ecosystems. To fight the decline of biological diversity, conservation science has broken ground with methods such as the operational model of systematic conservation planning (SCP), which focuses on design and on‐the‐ground implementation of conservation areas. The most commonly used method in SCP is reserve selection that focuses on the spatial design of reserve networks and their expansion. We expanded these methods by introducing another form of spatial allocation of conservation effort relevant for land‐use zoning at the landscape scale that avoids negative ecological effects of human land use outside protected areas. We call our method inverse spatial conservation prioritization. It can be used to identify areas suitable for economic development while simultaneously limiting total ecological and environmental effects of that development at the landscape level by identifying areas with highest economic but lowest ecological value. Our method is not based on a priori targets, and as such it is applicable to cases where the effects of land use on, for example, individual species or ecosystem types are relatively small and would not lead to violation of regional or national conservation targets. We applied our method to land‐use allocation to peat mining. Our method identified a combination of profitable production areas that provides the needed area for peat production while retaining most of the landscape‐level ecological value of the ecosystem. The results of this inverse spatial conservation prioritization are being used in land‐use zoning in the province of Central Finland.     

Cost-sharing approach for air quality control implementation A case study

The objective of the study was to investigate and develop new alternative approaches to effectively meeting the federal SOx and particulate ambient air quality standards at cost savings. Since air pollution control costs would very likely be passed along to the consumer, it is in the best interests of the consumer and industry to find the least-cost alternative policies. Cost-sharing possesses advantages not shared by other control schemes, such as emissions taxes, auctioning of “pollution certificates,” or other methods. The results of this paper indicate that the cost-sharing approach is useful for particulates control in order to minimize the burden of plants already performing substantial control who may require significant added capital investment beyond their initial amount. For SO_ξ emissions control the cost-sharing analysis calculations show significant savings in nearly all situations, whether or not stack gas treatment methods were assumed available. Furthermore, the cost-sharing approach may allow further savings when the particular cost requirements of an individual firm differ substantially from the average engineering cost estimates. A cost-sharing option should thus be included in implementation plans as an option to be used by industries at their own initiative. The spatial characteristics of emissions resulting from a particular application of the cost-sharing approach are considered. A spatial airshed emissions allocation model is discussed as a useful method of evaluating cost sharing.     

Exploring the future of European crop production in a liberalised market, with specific consideration of climate change and the regional competitiveness

Long-term future development of European agriculture within the global market is highly uncertain, but can potentially have large impacts on the future of agricultural businesses, rural communities and amenities such as traditional landscapes and biodiversity. Despite great uncertainties it is of interest to explore the extent of these potential changes. This paper provides an explorative scenario of the European crop production in a liberalised world without European Union (EU) market interventions. The results do not form a prediction or a business as usual scenario, but rather a plausible and salient thought-experiment of a possible future based on the consistent integration of current conceptual and quantitative models.Future scenarios for climate, demography, technology and global demand for agricultural commodities are used to assess the competitiveness of European agriculture. Regional economic competitiveness is determined by combining indicators for the economic strength of farms in a region and population pressure on agricultural land, and subsequently used to determine where agricultural production is likely to sustain under the market liberalisation scenario. The method is illustrated for the 27 EU member state countries for three commodities: wheat, potato and milk (relying on grass).Results include maps of the dominant wheat, potato and milk producing regions across Europe as projected for 2050. They show that due to increased agricultural productivity, less agricultural land will be needed to supply the European demand for food and feed. In addition, production will concentrate in those regions which have a comparative advantage. This potentially leads to a strong polarisation between north-western Europe and southern Europe, which faces negative impacts of climate change and central and northern Europe where agricultural businesses lag in economic strength and farm size. A contrasting policy intervention scenario illustrates how differences in demand and productivity result in an expansion of the agricultural area, especially for the production of wheat.Although the complete liberalisation scenario may seem unlikely, and the underlying assumptions have great uncertainty, the results help identify and map market pressures on agricultural land use across regions in Europe. As such, it stimulates policy debate on the desired future for the European agricultural sector and the trade-offs between economic competitiveness under global market conditions and policy intervention. In addition, it provides a basis for the planning of alternative economic strategies for agriculturally less competitive regions.     

Circular economy strategies for combating climate change and other environmental issues

Global industrialization and excessive dependence on nonrenewable energy sources have led to an increase in solid waste and climate change, calling for strategies to implement a circular economy in all sectors to reduce carbon emissions by 45% by 2030, and to achieve carbon neutrality by 2050. Here we review circular economy strategies with focus on waste management, climate change, energy, air and water quality, land use, industry, food production, life cycle assessment, and cost-effective routes. We observed that increasing the use of bio-based materials is a challenge in terms of land use and land cover. Carbon removal technologies are actually prohibitively expensive, ranging from 100 to 1200 dollars per ton of carbon dioxide. Politically, only few companies worldwide have set climate change goals. While circular economy strategies can be implemented in various sectors such as industry, waste, energy, buildings, and transportation, life cycle assessment is required to optimize new systems. Overall, we provide a theoretical foundation for a sustainable industrial, agricultural, and commercial future by constructing cost-effective routes to a circular economy.

     

Assessment of non-point source pollution using a spatial multicriteria analysis approach

Eutrophication caused by the enrichment of nutrients from diffusing sources is degrading surface water quality throughout the world. Assessing the potential contributions of different land areas in diffuse nutrient export has become an important task in non-point source (NPS) pollution control. Existing methods were often limited by the availability of local data and the complexity of model formulation. This study developed a spatial multicriteria method to evaluate the nitrogen loss potential at the basin level. Four criteria were formulated to characterize the source capacity of nitrogen export, the flow path to water body, the efficiency of runoff generation and the climatic driving force. The proposed method is a low-effort approach since the required data is either already available in a global context or easily produced with limited inputs. Being implemented in GIS environment, this method generates maps that can be easily interpreted to provide decision support. The method was applied to the Huai River Basin, China. The results were validated based on the correlation between the nitrogen loss potential of sub-basin and the water quality class of river. The maps of nitrogen loss potential were helpful for examining the regional pattern of diffuse nitrogen loss, and could facilitate the decisions of NPS pollution management at the provincial or basin level.     

The integration of land and marine spatial planning

Whilst spatial planning has evolved as a tool to manage the development and use of the terrestrial environment over decades, the development of spatial planning systems for the marine environment are in their infancy. This paper focuses on the integration of land and marine based spatial planning systems. This is informed by a brief overview of the regional development of the lands and seas of Europe which underlie spatial planning systems and by a discussion of respective spatial planning systems in terms of economic sectors, land use, and sea use. The integration of spatial planning systems is then considered, followed by evaluation of relationships between spatial planning, and the wider field of environmental management. This includes consideration of organisational and geographical scales, technical management including legal aspects, policy, strategic planning and time scales of decision-making. The paper identifies the significant factors which must be considered in the integration of marine and terrestrial planning systems over the coming decades.     

基于LandsatTM影像的武汉市热岛效应研究

采用定量遥感与GIS相结合的方法,利用武汉市2006年TM遥感影像,定量分析武汉市植被指数和热岛效应的关系和空间分布。在空间剖面上,研究了植被指数（NDVI）与地表辐射温度的关系并对植被指数（NDVI）与地表辐射温度进行了回归拟合。在此基础上,研究了武汉市热岛空间分布,解释了武汉市热岛等级空间分布的特点。研究结果表明：植被指数（NDVll与地表辐射温度存在着明显的负相关性;随着植被覆盖的变化,城市建设用地的地表辐射温度明显比其他土地类型敏感;城市中工业区和人口活动密集的商业区热岛强度高;水体和绿地对于分割城市热岛和缓解热岛效应有显著作用。该研究可为城市生态规划、用地合理布局等提供参考。     

Coastal flood management in rural planning unit through land-use planning: Kaikhali, West Bengal, India

The Indian subcontinent is highly prone to the detrimental impacts of hazards viz. cyclones, floods and storm surges. Of late, these events have become extreme in nature and intensity. While occurrence and severity of the events is being linked to the phenomenon of climate change, their devastating potentialities are also getting triggered due to lack of resilience and coping capacity of the human community. That in turn depends on distribution of activities over the land i.e. land use pattern, affecting the socio -economic conditions directly. A coastal village often lacks infrastructural support, administrative attention and planning standards compared to a coastal city, thereby making it more vulnerable to disasters like flood. In a coastal city it is easy to govern and manage livelihood as land use depends highly on anthropogenic decisions. While in a coastal village, activities would highly depend on its natural characteristics viz. coastal geomorphology, soil, vegetation cover i.e. governance of livelihood by the eco-system. Hence, managing disaster through in-situ pro-active or developmental measures in a rural planning unit though imperative, is a challenging task. This paper focuses on spatial planning techniques for Restoration of ecological buffers and livelihood enhancement that would sustainably combat the impact of flood at village level in a coastal area. Geographic Information System (GIS) and Remote Sensing (RS) techniques have been used extensively in this study as application tools.     

Climate change and urban land systems: bridging the gaps between urbanism and land science

ABSTRACT

Land science has generated critical knowledge about how humans modify Earth’s surface and has advanced our understanding of land as a coupled human–environment system. However, to date, most work has been in frontier environments with less attention – both conceptually and empirically – on how urban land systems affect the carbon cycle. Much of what is known about urban areas and the carbon cycle is limited to aggregate levels of activities within urban areas, usually by sector, with little focus on how the spatial configuration of urban land systems affects carbon-emitting activities. Given that urban areas produce about 70% of global energy-related CO₂ emissions, it is crucial to understand the relationship between urban environments, the activities they influence, and the resulting carbon emissions. This paper summarizes the current state of knowledge of how urban land systems affect carbon emissions and vulnerability, and identifies research gaps and opportunities for urban land science to contribute to climate change science, particularly through land architecture. We argue that more attention to urban land science conceptualization, measurement, and analysis would contribute to both fundamental knowledge about urban systems, as well as help identify policies and strategies for mitigation and adaptation to climate change at the urban scale.     

Industrial development and land use/cover change and their effects on local environment: a case study of Changshu in eastern coastal China

The interactions among industrial development, land use/cover change (LUCC), and environmental effects in Changshu in the eastern coastal China were analyzed using high-resolution Landsat TM data in 1990, 1995, 2000, and 2006, socio-economic data and water environmental quality monitoring data from research institutes and governmental departments. Three phases of industrial development in Changshu were examined (i.e., the three periods of 1990 to 1995, 1995 to 2000, and 2000 to 2006). Besides industrial development and rapid urbanization, land use/cover in Changshu had changed drastically from 1990 to 2006. This change was characterized by major replacements of farmland by urban and rural settlements, artificial ponds, forested and constructed land. Industrialization, urbanization, agricultural structure adjustment, and rural housing construction were the major socio-economic driving forces of LUCC in Changshu. In addition, the annual value of ecosystem services in Changshu decreased slightly during 1990–2000, but increased significantly during 2000–2006. Nevertheless, the local environmental quality in Changshu, especially in rural areas, has not yet been improved significantly. Thus, this paper suggests an increased attention to fully realize the role of land supply in adjustment of environment-friendly industrial structure and urban-rural spatial restructuring, and translating the land management and environmental protection policies into an optimized industrial distribution and land-use pattern.     

Metal contamination of surface soils of industrial city Sialkot,Pakistan: a multivariate and GIS approach

In this study concentrations of selected metals viz., Ca, Cd, Co, Cr, Cu, Fe, K, Mg, Na, Ni, Pb and Zn in surface soils of Sialkot city known worldwide for tanneries and pharmaceutical industries were measured to assess the status of urban soil pollution and to identify sources of contamination. Hierarchical cluster analysis (HACA) indicated concentrations of Mg and Ca related to parent rock material, Cd, Co, and Pb with traffic related activities, Cr, Cu, Ni and Zn either associated with automobiles activities or industrial pollution and Fe, K and Na related with anthropogenic activities or lithogenous materials. Correlation analyses and principal component analysis based on factor analysis confirmed the results of HACA. Spatial distribution maps exhibited relatively higher concentrations of Cd, Co, Cu, Ni, Pb, Cr and Zn along traffic routes in the city and streams. The results highlighted concentration of Cd, Ni, Cr, Zn, and Pb measured in urban soil exceeded the permissible limit of surface soils and advocated an imperative need for detailed baseline investigations of spatial distribution of heavy metals and other contaminants for the formulation of geochemical database that should be made available to stakeholder involved in monitoring, assessment and conservation of soil contamination for future planning and management of the Sialkot city.     

Costs of expanding the network of protected areas as a response to climate change in the Cape Floristic Region

The expansion of protected areas is a critical component of strategies to promote the continued existence of biodiversity (i.e., life at all levels of biological organization) as climate changes, but scientific, social, and economic uncertainties associated with climate change are some of the major obstacles preventing such expansion. New models of climate change and species distribution and new methods of conservation planning now make it possible to explore the uncertainties associated with climate changes and species responses. Yet few reliable estimates of the costs of expanding protected areas and methods for determining these costs exist, largely because of the many (and uncertain) determinants of these costs. We developed a cost-accounting model to estimate the range in costs of various options for expanding protected areas and to explore the variables that drive these costs. Model development was informed by an existing plan to expand protected areas in the Cape Floristic Region of South Africa to address species conservation under a scenario of climate change. The 50-year present value of total costs varied from US$260 million ($1077/ha) for an off-reserve option that involves agreements with landowners and no compensation of forgone production and associated revenue to $1020 million ($4228/ha) for an on-reserve option that involves land acquisition and protection. The costs of acquiring land or compensating landowners for forgone production and development opportunities were the major drivers of the total costs across all options because most of the area identified in the protected-area expansion plan consisted of urban and high-quality agricultural lands. Total costs were also affected by changes in protected area extent and discount rate. Model-generated outputs such as these may be useful for informing implementation strategies and the allocation of future efforts in monitoring, data collection, and model development.     

A novel participatory and remote-sensing-based approach to mapping annual land use change on forest frontiers in Laos,Myanmar, and Madagascar

Tropical forests are under pressure from both commercial and smallholder agriculture. Forest frontiers are seeing dynamic land use changes that frequently lead to land system regime shifts, posing challenges for the sustainability of entire local social-ecological systems. Monitoring highly dynamic land use change and detecting land system regime shifts is methodologically challenging due to trade-offs between spatial and temporal data resolution. We propose an innovative approach that combines analysis of very-high-resolution satellite imagery with participatory mapping based on workshops and field walks. Applying it in Laos, Myanmar, and Madagascar, we were able to collect annual land use information over several decades. Unlike conventional land use change mapping approaches, which assess only few points in time, our approach provides information at a temporal resolution that enables detection of gradual and abrupt land system regime shifts.     

中国冶炼行业场地土壤污染特征及分布情况

通过收集大量国内各个地区冶炼场地的最新污染数据,试图从全国尺度范围进行分析,反映中国冶炼行业场地的土壤污染状况。运用污染指数评价法、潜在生态危害指数法和生物毒性评价法,以《土壤环境质量建设用地土壤污染风险管控标准(试行)》(GB 36600—2018)的第一类用地标准值为参比,对土壤中重金属和有机物的污染特征及生态风险进行了分析。单因子指数结果表明:As、Pb、Cd和Ni的浓度均超过了土壤污染风险管制值,其中As的单因子指数为3.80;有机物的评价结果均为清洁。内梅罗指数结果表明:As、Pb、Cd和Ni的土壤污染风险管制值的评价结果为重度污染,且指数均大于35;二苯并(a,h)蒽的评价结果为警戒限,其余有机物的评价结果均为清洁。潜在生态风险评价表明:As具有很强的潜在生态风险,Cd有较强的潜在生态风险,多种元素的综合生态风险评价指数RI为409,具有较强的潜在生态环境风险。空间分布结果表明:南方地区的重金属潜在生态风险远高于西北地区和北方地区,其中潜在生态风险等级为很强的点位主要分布在贵州、湖南和江西等地区,且As和Cd的生态风险因子占据较高的比重。生物毒性评价表明:2-甲基萘、苊烯和二苯并(a,h)蒽将频繁地发生负面生态效应。贵州等南方部分地区的冶炼行业周边土壤已受到As和Cd等重金属的严重污染,应采取有效措施减少排放。该研究可为中国冶炼行业的污染防治提供科学依据和数据支撑。     

Conservation Businesses and Conservation Planning in a Biological Diversity Hotspot

The allocation of land to biological diversity conservation competes with other land uses and the needs of society for development, food, and extraction of natural resources. Trade‐offs between biological diversity conservation and alternative land uses are unavoidable, given the realities of limited conservation resources and the competing demands of society. We developed a conservation‐planning assessment for the South African province of KwaZulu‐Natal, which forms the central component of the Maputaland–Pondoland–Albany biological diversity hotspot. Our objective was to enhance biological diversity protection while promoting sustainable development and providing spatial guidance in the resolution of potential policy conflicts over priority areas for conservation at risk of transformation. The conservation‐planning assessment combined spatial‐distribution models for 646 conservation features, spatial economic‐return models for 28 alternative land uses, and spatial maps for 4 threats. Nature‐based tourism businesses were competitive with other land uses and could provide revenues of >US$60 million/year to local stakeholders and simultaneously help meeting conservation goals for almost half the conservation features in the planning region. Accounting for opportunity costs substantially decreased conflicts between biological diversity, agricultural use, commercial forestry, and mining. Accounting for economic benefits arising from conservation and reducing potential policy conflicts with alternative plans for development can provide opportunities for successful strategies that combine conservation and sustainable development and facilitate conservation action. Negocios de Conservación y Planificación de la Conservación en un Sitio de Importancia para la Biodiversidad     

低碳经济与农业发展思考

大气中碳浓度的升高是导致全球气候变化的主要原因.以低能耗、低排放、低污染为特征的低碳经济是目前人类应对全球气候变化,减缓温室气体排放的根本出路.农业生产与全球气候变化息息相关,农业是温室气体的第二大重要来源,如何减少农业温室气体排放量并探寻减排方法已经成为当务之急.从低碳经济这一热点问题谈起,论述了农业生产与全球气候变化的关系,以及当前农业面临的问题和挑战,提出了发展低碳农业的对策以及具体措施,旨在为呼应低碳经济,应对全球气候变化提供科学决策,促进现代农业由高碳经济向低碳经济转型,实现农业的可持续发展.     

Spatiotemporal multimedia emission inventory for polycyclic aromatic hydrocarbons near petroleum production plants in China based on a 10′ × 10′ grid

A spatiotemporal model was developed to investigate emissions of polycyclic aromatic hydrocarbons (PAHs) in Daqing, a Chinese city with large petroleum industry plants. The model was based on land-use types determined on a 10′?×?10′ grid. A geographic information system and regression analyses were used to characterise spatial and temporal variations in PAH emissions into multiple environmental media. The simulated results were validated using previously published experimental data, and the model was found to function well. PAH emissions to the atmosphere, soil, and surface water between 1998 and 2013 were estimated. The results indicated that PAH emissions to the atmosphere increased but PAH emissions to the soil and surface water decreased over the study period. PAH emissions to the atmosphere were markedly higher in winter than in summer. PAH emissions were concentrated in urban areas and areas near petroleum production plants, indicating that PAH emissions were closely related to industrial activities. The results will support research into the migration and transformation of PAHs and human health and ecological risk assessments. The results may also be useful for developing policies for controlling PAH pollution and managing risks associated with PAHs.     

Eco-hydrological modelling in a highly regulated lowland catchment to find measures for improving water quality

Water quality modelling in the meso-scale Rhin catchment in the German federal state Brandenburg was done (1) to answer some specific questions concerning identification of point and diffuse sources of nutrient pollution in the catchment, (2) to assess the influences of possible climate and land use changes on water quantity and quality and (3) to evaluate potential measures to be done in order to achieve a “good ecological status” of the river and its lakes as required by the Water Framework Directive (WFD).The Rhin catchment is a typical highly regulated lowland river basin in Northern Germany. The regulations complicate water quantity and quality modelling in the catchment. The research was done by using the eco-hydrological model SWIM (Soil and Water Integrated Model), which simulates water and nutrient fluxes in soil and vegetation, as well as transport of water and nutrients to and within the river network. The modelling period was from 1981 until 2005. After calibrating the hydrological processes at different gauges within the basin with satisfactory results, water quality (nitrogen and phosphorus) modelling was done taking into account the emissions of different point sources (sewage treatment plants, etc.) and identifying the amount of diffuse pollution caused mainly by agriculture.For suggesting some feasible measures to improve water quality and to reduce diffuse pollution considering possible climate and land use changes, different reasonable scenarios were applied in consultation with the Environmental Agency of Brandenburg (LUA). The study revealed that the amount of water discharge has significant influence on the concentration of nutrients in the river network, and that nitrogen pollution, caused mainly by diffuse sources, could be notably reduced by application of agricultural measures, whereas the pollution by phosphorus could be diminished most effectively by the reduction of point source emissions.