Urban landscape services planning in an urban river-valley corridor system case study: Tehran’s Farahzad River-valley landscape system

Environment, Development and Sustainability - Undesirable changes in structural-functional relation of urban landscape structures’ ecological processes lead to energy-information fluxes of...     

Performance evaluation of lean sustainable systems using adaptive neuro fuzzy inference system: a case study

The modern manufacturing organisations have been adopting both lean and sustainable manufacturing paradigms to survive in the competitive environment. Lean and sustainable strategies aim at achieving productivity improvement by streamlined processes and waste elimination. The performance of such integrated lean sustainable system has to be assessed to ensure whether the strategic objectives are in line with customer value and to identify improvement opportunities that enable and enhance the competitive advantage of an integrated lean sustainable system. This paper presents the formulation of conceptual performance evaluation model to assess lean sustainable systems. Appropriate performance indicators have been identified and adaptive neuro fuzzy inference system approach is used to evaluate lean sustainability. A case of automotive component manufacturing firm in Indian scenario is exemplified. Based on the evaluation, lean sustainability index was computed and the firm was found to be ‘Averagely Lean Sustainable’. Further improvement actions to enhance the lean sustainable performance were planned and implemented. The developed performance evaluation model is capable of effectively evaluating the lean sustainable performance of manufacturing firms and has more practical relevance.     

Assessing water quality in rivers with fuzzy inference systems: a case study

In recent years, fuzzy-logic-based methods have demonstrated to be appropriated to address uncertainty and subjectivity in environmental problems. In the present study, a methodology based on fuzzy inference systems (FIS) to assess water quality is proposed. A water quality index calculated with fuzzy reasoning has been developed. The relative importance of water quality indicators involved in the fuzzy inference process has been dealt with a multi-attribute decision-aiding method. The potential application of the fuzzy index has been tested with a case study. A data set collected from the Ebro River (Spain) by two different environmental protection agencies has been used. The current findings, managed within a geographic information system, clearly agree with official reports and expert opinions about the pollution problems in the studied area. Therefore, this methodology emerges as a suitable and alternative tool to be used in developing effective water management plans.     

长江中游城市群城市人居环境竞争力格局及优化路径

从人居环境与城市竞争力的关联性入手,将生态、居住、生产环境纳入一个分析框架。运用AHP与多级模糊综合评价相结合的方法,构建城市人居环境竞争力指标体系,对长江中游城市群城市人居环境竞争力进行评估并解析了其空间分异特征。此外,依托Arcgis平台,运用空间聚类分析法,基于人居环境竞争力特征进行区域归类,并借助箱型图,对城市人居环境竞争力领域及区域类别特征进行了探索。研究表明:(1)竞争力分布中,浙赣线江西段沿线城市生态、休闲环境竞争力等级最高,京广线沿线城市的居住、公共服务环境竞争力等级最高,居住、公共服务竞争力空间格局具有高度相似性。区域中心及副中心城市在经济发展环境竞争力领域具有显著优势。(2)综合竞争力二级以上等级的城市主要分布于环鄱阳湖地区,包括九江、景德镇、上饶、鹰潭、南昌,以及省会城市武汉、长沙。(3)四类空间的城市人居环境竞争力优劣格局十分清晰。第1类区域围绕省会等区域中心、副中心城市分布,生态环境具有最优竞争力,居住、公共服务、经济发展环境最劣;第2类区域多为区域中心、副中心城市,强势竞争力集中于居住、公共服务、经济发展环境领域,而休闲环境为最劣势;第3类区域多为临山型城市,具有最优异的休闲环境竞争力;第4类区域以老工业城市居多,在生态环境、公共服务环境拥有相对优异的竞争力。最后,以因地制宜、突出特色为出发点,基于格局、类别特征等提出了涵盖现实特征、发展定位、重点措施等内容的长江中游城市群城市人居环境竞争力提升路径选择。其中,第1类区域定位为生态优异的山水园林城市;第2类应以营造城市外部开放空间为重心,推进公共服务设施智慧转型,打造为智慧高效的综合都市;第3类区域建议以良好的休闲环境作为特色人居环境建设的切入点,有序推进对居住、生产、生活空间的综合整治,致力建成休闲舒适的中小田园城市;第4类区域按照老工业基地调整改造规划要求,重塑城市形象,建成安居乐业的可持续发展城市。     

The valuation of wetland conservation in an urban/peri urban watershed

This study estimates the social benefits of wetland conservation in the Credit River watershed, located in an urban/peri urban area in Southern Ontario, Canada. A stated preference approach was employed to value wetland conservation programs which ranged from retaining the existing wetlands to restoring various levels of acres of wetlands over the 2009–2020 period. A total of 1,407 households completed an internet-based survey which presented trade-offs in binary choice scenarios framed as referenda. Responses were analyzed using various models, one of which was a latent class analysis which segmented respondents into three classes. This econometric approach uncovered significant preference heterogeneity for wetland conservation. Assignment of respondents to the classes suggested that about one-third of the sample was willing to pay small amounts to retain the existing wetlands. An additional third was willing to pay several hundred dollars a year for retention and small positive amounts for additional restoration. The final third were apparently willing to pay considerable sums for retention, but lesser amounts for additional restoration. However, further analysis revealed that respondents in this third class largely constituted yea-sayers. These results suggest caution in interpreting associated economic valuation estimates and highlight the importance of attempting to understand hypothetical bias in wetland and other such valuation studies.     

模糊环境下的城市公共基础设施投资评价研究

公共基础设施是城市经济运行的支撑体系和物质载体,提高它的利用效益已经成为实现城市经济、社会和环境可持续发展的关键。政府资金的投入对促进公共基础设施建设有至关重要的作用。公共基础设施资金分配已成为城市发展的重要问题,如何将有限的资金合理地投资给不同的城市建设企业是公共管理领域研究的核心内容。本文根据公共基础设施投资建设环境的模糊性,通过使用三角模糊数,在引入交易成本的基础上,考虑了城市公共基础设施带来的经济、社会、环境影响,建立了基于模糊环境下的公共基础设施投资组合模型,使得在给定风险最大容忍水平的前提下,追求政府资金收益最大化。本文将公共基础设施投资组合模型运用到北京、天津、上海、重庆四大直辖市的城市建设投资公司中,在考虑公共基础设施投资数量因素的影响下得到了2000-2013年的最优投资比例。研究结果显示:国家一直将北京作为重点投资城市,在受到2008年北京奥运会的影响下,其它三市的投资比例逐渐减少,并在2012-2013年期间北京的投资比率达到了64.41%,这对天津和重庆的影响最大,特别是在2012-2013年期间天津的投资比率降到了5.22%。在四大直辖市中,上海的公共基础设施数量一直占有相当的优势,加上世博会的影响,上海的投资比例在2000-2011年期间一直保持稳定上升。综上可见,北京和上海仍然是国家重点建设城市,为了全面加快城市建设,应该在抓重点城市发展的同时加大对偏远地区的新型城镇化的投资建设支持,发挥好政府投资的带动作用。     

Mitigation of greenhouse gas emissions from an abandoned Baltic peat extraction area by growing reed canary grass: life-cycle assessment

Abandoned peat extraction areas are continuous emitters of GHGs; hence, abandonment of peat extraction areas should immediately be followed by conversion to an appropriate after-use. Our primary aim was to clarify the atmospheric impact of reed canary grass (RCG, Phalaris arundinacea L.) cultivation on an abandoned peat extraction area and to compare it to other after-treatment alternatives. We performed a life-cycle assessment for five different after-use options for a drained organic soil withdrawn from peat extraction: (I) bare peat soil (no management), (II) non-fertilised Phalaris cultivation, (III) fertilised Phalaris cultivation, (IV) afforestation, and (V) rewetting. Our results showed that on average the non-fertilised and fertilised Phalaris alternatives had a cooling effect on the atmosphere (?10,837 and ?477 kg CO₂-eq ha^?1 year^?1, respectively), whereas afforestation, rewetting, and no-management alternatives contributed to global warming (9,511, 8,195, and 2,529 kg CO₂-eq ha^?1 year^?1, respectively). The main components influencing the global warming potential of different after-use alternatives were site GHG emissions, carbon assimilation by plants, and emissions from combustion, while management-related emissions played a relatively minor role. The results of this study indicate that, from the perspective of atmospheric impact, the most suitable after-use option for an abandoned peat extraction area is cultivation of RCG.     

An approach for environmental risk assessment of engineered nanomaterials using Analytical Hierarchy Process (AHP) and fuzzy inference rules

The usage of Engineered Nanoparticles (ENPs) in consumer products is relatively new and there is a need to conduct environmental risk assessment (ERA) to evaluate their impacts on the environment. However, alternative approaches are required for ERA of ENPs because of the huge gap in data and knowledge compared to conventional pollutants and their unique properties that make it difficult to apply existing approaches. This study aims to propose an ERA approach for ENPs by integrating Analytical Hierarchy Process (AHP) and fuzzy inference models which provide a systematic evaluation of risk factors and reducing uncertainty about the data and information, respectively. Risk is assumed to be the combination of occurrence likelihood, exposure potential and toxic effects in the environment. A hierarchy was established to evaluate the sub factors of these components. Evaluation was made with fuzzy numbers to reduce uncertainty and incorporate the expert judgements. Overall score of each component was combined with fuzzy inference rules by using expert judgements. Proposed approach reports the risk class and its membership degree such as Minor (0.7). Therefore, results are precise and helpful to determine the risk management strategies. Moreover, priority weights calculated by comparing the risk factors based on their importance for the risk enable users to understand which factor is effective on the risk. Proposed approach was applied for Ag (two nanoparticles with different coating) and TiO₂ nanoparticles for different case studies. Results verified the proposed benefits of the approach.     

Creating an academic landscape of sustainability science: an analysis of the citation network

Sustainability is an important concept for society, economics, and the environment, with thousands of research papers published on the subject annually. As sustainability science becomes a distinctive research field, it is important to define sustainability clearly and grasp the entire structure, current status, and future directions of sustainability science. This paper provides an academic landscape of sustainability science by analyzing the citation network of papers published in academic journals. A topological clustering method is used to detect the sub-domains of sustainability science. Results show the existence of 15 main research clusters: Agriculture, Fisheries, Ecological Economics, Forestry (agroforestry), Forestry (tropical rain forest), Business, Tourism, Water, Forestry (biodiversity), Urban Planning, Rural Sociology, Energy, Health, Soil, and Wildlife. Agriculture, Fisheries, Ecological Economics, and Forestry (agroforestry) clusters are predominant among these. The Energy cluster is currently developing, as indicated by the age of papers in the cluster, although it has a relatively small number of papers. These results are compared with those obtained by natural language processing. Education, Biotechnology, Medical, Livestock, Climate Change, Welfare, and Livelihood clusters are uniquely extracted by natural language processing, because they are common topics across clusters in the citation network.     

Scenario-based urban growth allocation in a rapidly developing area: a modeling approach for sustainability analysis of an urban-coastal coupled system

Being located in an urban-coastal coupled system, the Hashtpar City is one of the most attractive areas for urban construction, tourism, agricultural activities and environmental protection in northern Iran. To resolve the issues between land developers and environmental conservation agencies, we conducted a scenario-based urban growth allocation procedure through the SLEUTH model. The scenarios consisted of ‘business as usual’, ‘managed urban growth’ and ‘environmentally sound growth’ that were introduced by modification of model parameters and exclusion layer. The resultant urban growth arrangements were compared for composition and configuration attributes of landscape patterns. According to the results, the pattern of urbanized lands under managed urban growth option demonstrated better connectivity and compactness of urban patches, while the two other scenarios generated a highly fragmented pattern. The managed urban growth can be considered as a compromised solution between other scenarios since it simultaneously takes into accounts both developers and environment protectors points’ of views. On this basis, a combination of centralized and decentralized urban land use planning is a recommended strategy for our urban-coastal environment to fulfill the purposes of a sustainable development process. The findings of the present article suggest that further expansion of the major urban core in the targeted area should be prohibited since it can lead to an urban patch with considerable physical size and noticeable ecological footprint.     

Population of birds in the boreal mountain-valley landscape disturbed by gold mining

The article characterizes the changes in the species composition and population of birds of the boreal mountain-valley landscape in connection with disturbances caused by extraction of gold (based on researched material in the Bureya Mountains, Far East). It displays the ratio of faunal assemblages and layered bird groupings in the technogenic habitats (lixiviation and open-pit dump sites of 1–5 years of age and 35–40 years of age) and undisturbed sites of river valleys. On the basis of coefficient of inclusion and similarity, we compared the populations of birds of different habitats either on species composition or taking into account the density of species.     

The molecular properties of humic substances isolated from a UK upland peat system: a temporal investigation.

The study concerns the possible changes in the molecular characteristics of humic materials isolated from the same source as a function of time. A great deal of data has been reported concerning the contrast in molecular characteristics of humic substances isolated from different environments. This has primarily been an attempt to identify source-specific molecular characteristics. However, data presented in this paper suggests that humic substances isolated from a single catchment have significant changes in molecular characteristics over time. Two naturally occurring peat pools (X and Y) situated upon a small organic catchment on Great Dun Fell, Cumbria, UK were sampled monthly between November 1994 and November 1996. Dissolved organic matter (DOM) from the pool water samples was fractionated using macroporous nonionic resins (XAD8 and 4), and the humic, fulvic and hydrophilic acids were collected. These fractions were analysed for elemental composition (C, H and N), weight average molecular weight, functional group content and adsorption (340 nm) of a 1 g l(-1) solution measured in a 1-cm spectrophotometer cell. The molecular characteristics were compared to those of natural DOM described by Scott et al. (1998). Scott et al. reported that drought conditions and seasonal climatic changes could have appreciable effects upon molecular characteristics of natural DOM. Results showed that the atomic H/C ratio of the humic substances increased immediately after strong drought conditions experienced in the summer of 1995. This change was temporary with atomic H/C ratio decreasing gradually over the following months. A similar decrease was observed in the carboxyl group content of the isolated compounds. The data set suggested that atomic H/C ratio in the fulvic and hydrophilic fractions exhibited seasonal characteristics of higher ratios during the late summer/early autumn months. This was not observed in the humic fraction. Humic acids exhibited a seasonal pattern of higher weight average molecular weight during the summer months. These trends were explained in terms of summer production of DOM in the catchment soils, their sequestering in the soil due to limited soil water movement during the summer months and their relative ease of dissolution when rainfall and soil water movement increased during the late summer/early autumn period. The results were found to support seasonal and long-term patterns observed in natural DOM as reported by Scott et al. (1998).     

Road-traffic noise and factors influencing noise annoyance in an urban population

Noise annoyance is influenced by sound-related factors: type of noise, noise level and frequency, and person-related factors—physiological, psychological, and social factors. Prior to implementation of the Directive 2002/49/EC of the European Parliament and of the Council in Serbia, there was a need for the first comprehensive study on noise annoyance in Serbian urban population. The aim of this study was to determine principal factors for high noise annoyance in an adult urban population and to assess their predictive value. A cross-sectional study was performed on 3097 adult residents of a downtown municipality in Belgrade (1217 men and 1880 women), aged 18–96 years. Equivalent noise levels [Leq (dBA)] were measured during day, evening and night in all streets of the municipality. Noise annoyance was estimated using self-reported annoyance scale. Noise annoyance showed strong correlation with noise levels, personal characteristics and some housing conditions. Dose–response relationship was found between the percentage of highly annoyed residents and Lden. Logistic regression model identified increased risk for a high level of noise annoyance with regard to: orientation of living room/bedroom toward the street (Odds Ratio = 2.60; 95% Confidence Interval = 2.04–3.31), duration of stay at apartment during the day [OR = 1.04, 95%CI = 1.02–1.06 (per hour)], noise sensitivity [OR = 1.04, 95%CI = 1.03–1.04 (per scale unit)], and nighttime road-traffic noise level [OR = 1.03, 95%CI = 1.02–1.04 (per decibel)].     

Spatiotemporal change in urban landscape and its effect on behavior of diurnal temperature range: a case study of Pune District,India

Environment, Development and Sustainability - Urbanization plays a crucial role in the urban landscape dynamics, contributing to numerous ecosystems and urban climate changes. Diurnal variation of...     

Monitoring urban land use in developing countries—an aerial photographic approach

In most developing countries, the ground survey method of data collection is usually the traditional method of monitoring urban land use. Since this procedure is costly in terms of time and energy, which developing countries can hardly afford, it is suggested that aerial photography be employed in monitoring urban land use. The usefulness of sequential aerial photography in estimating the relative growth of thirteen land-use categories in Ilorin (Nigeria) has been evaluated. It was discovered that the spatial distribution pattern of the land-use types in 1950, 1963, and 1973 could be estimated and changes detected. The methodology employed emphasises simplicity and speed of data collection, and so could be incorporated into an overall urban information system on which land-use planning could be based.     

吉林省玉米农田保护性耕作的环境影响评价

以吉林省玉米农田4种保护性耕作为例,应用生命周期评价方法(Life Cycle Assessment,LCA)系统综合地评价吉林省玉米农田不同保护性耕作模式对环境的潜在影响。结果表明,四种保护性耕作模式的能源消耗、温室气体排放、环境酸化和富营养化的潜在环境影响分别平均比传统耕作模式减少14.62%、82.82%、15.37%和15.28%,主要由氮肥的生产及施用引起;水体毒性、土壤毒性及人体毒性则分别比传统耕作高7.40%、6.42%和7.38%,主要由农药的施用引起。综合各种环境影响类型,尽管4种保护性耕作模式较传统耕作模式能显著减缓全球变暖,但对其他环境类型的改变不明显,其中水体毒性为该种植系统中最主要的环境影响类型,富营养化次之。     

Genetic biomonitoring of an urban population exposed to mutagenic airborne pollutants

Biomonitoring studies have increased as a consequence of risks and effects to human health on exposure to environmental contaminants, mainly air pollutants. Genetic biomarkers are useful tools for the early assessment of exposure to occupational and environmental pollution. The objective of the present study was to investigate genotoxic effects on people residing and/or working downwind from an oil refinery in southern Brazil and the mutagenic activity of airborne particulate matter (PM10). Samples of peripheral blood and buccal mucosa cells were evaluated using the single-cell gel electrophoresis assay (comet assay) and the micronucleus (MN) assay, respectively. PM10 samples were collected in the target site and the organic matter extraced with dichloromethane was assessed for mutagenic activity in the Salmonella/microsome assay. The exposed group (n = 37) was compared to a reference group (n = 37) of subjects living in an urban area with limited traffic and industrial influence, located far from the main industrial areas. All PM10 organic extracts showed mutagenic positive responses and the effect decreased in the presence of S9 mix indicating that the predominant compounds present were direct-acting mutagens. The responses of YGs strains are consistent with aromatic amines and nitroarenes being present in the PM10 extracts. The group in the area under the influence of the oil refinery (exposed group) showed significantly higher DNA damage in lymphocytes than the reference group. The MN frequencies in buccal mucosa were very low for both groups and no difference between groups was observed. No association was found between age and tobacco smoking habit and level of DNA damages measured by the comet assay. The results indicate that the comet assay was a sensitive tool to detect DNA damage in subjects under the influence of an oil refinery, with marked genotoxic activity in the atmospheric environment.