基于属性识别理论的城市生态安全评价——以广州市为例

城市生态安全评价可以使管理者和公众及时了解城市发展中生态环境压力的严重态势,为城市可持续发展战略的制定和生态系统的管理提供依据和指导。文章构建了由活力、组织结构、恢复力、生态系统服务功能和人类健康状况5个要素构成的城市生态安全评价指标体系。在有序分割类和属性识别准则的基础上,建立了城市生态安全评价的属性识别模型。采用层次分析法（AHP）和熵权法赋予指标权重,充分利用了主观和客观评价方法的优势。根据此模型对广州市1991—2007年间的生态安全状况进行了实证分析。结果表明城市生态安全状况呈现出,从＂较不安全级＂上升到＂临界安全＂级。在5个评价要素中,除人群健康状况外,其他4个评价要素呈现出逐年改善的趋势。属性识别理论能对事物进行有效识别和比较分析,且原理直观、计算简便、评价结果准确,在评价、预测、决策等领域中具有广泛的适用性。     

Current situation and development of Chinese urban forestry

This paper introduces Chinese urban forestry research in terms of the concept, forest types, ecosystem services, spatial structure, planning and construction, assessment and management. Modern Chinese urban forest had a close relationship with traditional landscape architecture. Urban forest services had been quantified in some case cities, and determined by urban forest spatial patterns and internal structures. Based on landscape ecology and urban planning, urban forest spatial patterns have been analysed and planned rationally in some cities. However, studies on urban forestry generally lack long-term, continuous and systemic observations, as well as in-depth research on ecological processes and mechanisms. The development trends in urban forestry in China might include extensive application of '3S' technology, research on the relationship between urban forest landscape spatial patterns and their ecological effects, economic assessment, ecological and economic benefits and studies on the negative effects of pollutants.     

网络分析法在城市绿网优化中的应用

2005-2020年天津总规之绿地系统规划(总规绿网),由于缺乏绿网优化配置,其生态效益仍将不尽如人意。为此,采用图论和网络分析法(ANP),构建、评价了4个具有不同连接度和生态水平的绿网方案。ANP模型计算结果表明,绿网4最大化地利用现状和潜在廊道、连接各斑块,效益排序最优,成本次优,综合效益最高,且敏感度分析证明当效益与成本比大于0.25时,首位排序稳定。协调土地利用与交通等相关规划要素,给出基于网络4的绿地系统规划方案,为总规绿网优化提供依据。ANP适用于多目标、多因子、多方案决策,可解决以往网络指数与景观指数分离问题,实现不同顶点位置的网络评价,是绿网优化的有力工具。     

城市自然生态空间的价值评估及规划启示

城市自然生态空间是城市生态文明建设重要的物质基础。在规划过程中,应该将城市自然生态空间的生态价值评估作为城市规划的重要理论基础,通过相应的规划方法引导城市生态化建设和品质提升。文章通过对城市自然生态空间的界定,以及对城市自然生态空间生态价值评估的理论模型的研究,提出对规划建设的启示：积极构建城市自然生态空间统一的评估指标体系和建立适应中国本土的动态评估模型能够理性的指导城市的生态化建设,同时通过对城市自然生态空间的价值评估能够科学制定城市生态调控政策和正确引导公共参与城市生态化建设。     

Application of ecosystem health cost-effect analysis in eco-planning in Guangzhou City, China

Ecosystem health has been a focal point and research frontier of applied ecology in recent years, increasingly used in urban ecological studies. To quantify the effect of ecological improvement from eco-planning, an ecosystem health assessment method is used in eco-planning evaluation and decision support in the urban eco-planning research of Guangzhou City of China. Based on features of an urban ecosystem, five factors such as vigor, organizational structure, resilience, ability to maintain ecosystem service, and influence on people’s health were selected to develop the assessment indicator system. Then, to evaluate the validity of planning measures, a cost-effect analysis of the different scenarios on eco-planning was made, taking investment of the planned projects as the cost and ecosystem health state after implementing the scenarios as the effect. To establish priority of all the proposed planning schemes or countermeasures, variation of the ecosystem health state was evaluated when the investment of eco-environmental construction projects changes by ±10%, ±20% and ±50%, respectively. Thus, the order of importance of eco-environment construction projects to the urban ecosystem health state can be worked out, providing a reference for prioritizing the implementation of such urban eco-environmental projects. The study proved the trial value of an ecosystem health evaluation method in urban eco-planning research.     

广州中心城区公园绿地空间格局及可达性分析

公园绿地是城市中一类典型的开敞空间,对维护城市生态与人居环境健康具有重要意义,其空间布局的合理性与可达性直接影响其对城市居民的服务水平。以广州中心城区为例,借助GIS技术和景观格局指数,分析城市公园绿地景观格局、可达性和服务状况,并探讨城市公园绿地空间格局对其可达性影响。结果表明：①市级公园其面积占公园绿地总面积的84.71%,城市公园绿地聚集度为92.44,广州中心城区公园绿地景观类型和空间格局不尽合理;②网络分析表明研究区仅有22.35%的面积和44.67%的人口能够较便捷地到达邻近公园绿地,广州中心城区公园绿地的可达性和服务效果不理想;③城市公园绿地数量与空间格局是影响其可达性与服务水平的重要因子。     

Ecological risk assessment from the viewpoint of surface water pollution in Xiamen City,China

The ecological security of urban surface water is subject to significant risk due to rapid urbanization. Pollutant discharge and accumulation are among the most critical stressors endangering urban surface water and affecting the normal operation of urban aquatic ecosystem services. In this study, we assessed how pollutant accumulation stresses water purification systems, which perform important urban ecosystem services. First, we applied a water environmental capacity model to calculate thresholds of urban surface water environmental capacity under a given water quality target. Second, based on a stepwise regression method, an equation was used to describe the relationship between stressor factors (pollutant accumulation) and measurable socioeconomic indicators. Third, an ecological risk index was used as an assessment endpoint indicator to assess the negative ecological effect of pollutant accumulation. Finally, risk level was classified according to the risk quotient method. Taking Xiamen City as an example, we analyzed the contribution of different sources of pollutants and evaluated the urban ecological risk posed by two major contaminants present in the environment by measuring chemical oxygen demand (COD) and ammonium nitrogen (NH₄⁺-N). The results show that the ecological risk indexes of both COD and NH₄⁺-N are expected to decrease from 2020 to 2030; that of COD is expected to fall from medium to low, whereas that of NH₄⁺-N is expected to fall from high to medium. These findings demonstrate that the ecological risk posed to the surface water in Xiamen City can be reduced by controlling population growth, optimizing industrial structure, and promoting economic development.     

A concise review of ecological risk assessment for urban ecosystem application associated with rapid urbanization processes

ABSTRACT

Urban ecological risk (UER) caused by rapid urbanization means potential threat to urban ecosystem structure, pattern and services. The scales of ecological risk assessment (ERA) have been expanded from individual organisms to watersheds and regions. The types of stressor range from chemical to physical, biological and natural events. However, the application of ERA in urban ecosystems is relatively new. Here, we summarize the progress of urban ERA and propose an explicit framework to illumine future ERA based on UER identification, analysis, characterization, modeling, projection and early warning and management. The summary includes six urban ERA-relevant methods: weight-of-evidence (WoE), procedure for ecological tiered assessment of risks (PETAR), relative risk model (RRM), multimedia, multi-pathway, multi-receptor risk assessment (3MRA), landscape analysis and ecological models. Furthermore, we review critical cases of urban ERA in landscape ecology, soil, air, water and solid waste. Based on the Internet of Things (IoT) and cloud computing, an urban ERA management platform integrates various urban ERA methodologies that can be developed to provide better implementation strategies of UER for urban ecosystem managers and stakeholders. We develop a conceptual model of urban ERA based on the urban characteristics in China. The future applications of urban ERA include uncertainty analysis using Monte Carlo techniques on the basis of geospatial techniques and comprehensive urban ERA using nonlinear models or process models.     

The development of a multi-species algal ecodynamic model for urban surface water systems and its application

An ecodynamic model that can simulate four phytoplankton species has been developed to deal with the unique characteristics of urban river systems which has manmade river profile, flow controlled by gates, severe eutrophication status, and fragile aquatic ecosystem. The ecodynamic model was developed referencing two typical models: the water quality simulation model WASP and ecological model CAEDYM. The model can simulate 11 state variables: dissolved oxygen, carbonaceous biochemical oxygen demand, ammonia nitrogen, nitrate nitrogen, organic nitrogen, inorganic phosphorus, organic phosphorus and four phytoplankton species with zooplankton as a boundary condition. The ecodynamic model was applied to Sihai section of the Beijing urban river system, where serious algal blooms broke out in recent years. The dominant phytoplankton species are Cyanophyta, Chlorophyta, Bacillariophyta, and Cryptophyta. Site-specific data on geometry, meteorology, pollution sources, and existing ecosystem parameters were collected and used for model calibration and verification The model results mimic observed trends of water quality and phytoplankton species succession and can be used for forecasting algal blooms as well as assessment of river management measures.     

An integrated assessment method of urban drainage system: A case study in Shenzhen City, China

In recent years, the urban drainage system in China is facing the dual pressure of renovation and construction. This requires that the integrated assessment for the planning and operation of the urban drainage system is obligatory. To evaluate the urban drainage system, an integrated assessment methodology based on the analytic hierarchy process (AHP), integrated simulation, and fuzzy assessment is established. This method is a multi-criteria decision adding app roach to the assessment of the urban drainage system comprehensively. Through the integration of the Storm Water Management Model (SWMM), a simple wastewater treatment plant model, and a surface water quality model, an integrated modelling system for the urban drainage system is developed and applied as a key tool for assessment. Using the established method, a case study in Shenzhen City has been implemented to evaluate and compare two urban drainage system reno vation plans, the distributed plan and the centralized plan. Because of the particularity of this case study, the established method is not applied entirely. Considering the water environ mental impact, ecological impact, technological feasibility, and economic cost, the integrated performance of the distri buted plan is better. As shown in this case study, the proposed method is found to be both effective and practical.     

芜湖市鸟类组成及分布

鸟类是城市生态系统的重要组成部分,对于维持城市生态平衡具有重要作用。2005年5月-2007年5月,对芜湖市及周边地区4种生境鸟类进行了调查,共记录到鸟类种类138种,隶属于16目41科。通过与上海、广州、淄博及呼和浩特4个城市的鸟类群落相似性及G—F指数进行了比较,结果显示,芜湖市与上海鸟类群落的相似性最高,与呼和浩...     

区域大气环境质量变化趋势研究

本文研究了城市及其开发区域大气环境质量变化趋势的计算方法，并对一城市开发区进行了实例研究，应用本文的方法可以对城市及其开发区进行多点源和的影响下大气环境质量模拟。预测，评价与规划。     

Assessment of ecological risks induced by land use and land cover changes in Xiamen City,China

The landscape ecological risk (LER) in Xiamen City, China, from 1990 to 2030 was studied using an urban land use and land cover change (LUCC) model and LER analysis. The LUCC model was used to predict the LUCC of Xiamen from 2020 to 2030. We analyzed the characteristics of LUCC and landscape pattern changes and, finally, evaluated the effect of rapid LUCC on LER. Of the six landscape types investigated, built-up land and farmland demonstrated the most significant changes. The area of built-up land increased by 1.5 times in 2010 and is predicted to increase by 2.7 times in 2030 than that in 1990. The area of farmland increased from 34.5% in 1990 to 24.5% in 2010 and is predicted to decrease to 15.1% in 2030. The number of patches (NP) of built-up land decreased with increasing area, which promoted the dominance of built-up land over other landscape types. Five landscape types, those other than built-up land, increased in NP, landscape fragmentation, segmentation, and disturbance but decreased in dominance. The LER of Xiamen in 2010 was slightly lower than that in 1990. However, with the acceleration of urbanization, the LER in 2020 and 2030 will increase by 7.6% and 12.5% than that in 2010. The LER will significantly increase in areas such as the Huandong sea area, the second urban core of Xiamen, and northern Xiang'an. For the areas, some measures (e.g. optimum urban spatial growth patterns and control of coastal reclamation) must inevitably increase to reduce the LER posed by rapid urbanization.     

上海市崇明主要城镇生态环境安全预警初探

在对崇明城桥镇、堡镇和陈家镇生态环境安全现状评价基础上,利用生态环境安全预警理论和方法,运用情景分析法分3种情景对崇明城桥镇、堡镇和陈家镇未来15年生态环境安全状况进行预测。并根据综合指数模型及不良状态预警模型、恶化趋势预警模型和恶化速度预警模型对主要城镇生态环境安全进行预警评判,结果表明:崇明3个主要城镇未来15年生态环境总体仍将处于安全状态。     

基于景观格局的辽河三角洲湿地生态安全分析

以1990年和2005年遥感影像为基本信息源,在GIS技术支持下,在对辽河三角洲湿地景观格局分析的基础上,采用破碎度、分离度、优势度等景观格局指数和景观类型脆弱度为评价指标研究辽河三角洲湿地景观生态安全。20世纪90年代以来大规模的资源开发,加剧了辽河三角洲湿地景观的破碎化程度,使景观优势度增高,多样性下降。从1990-2005年,研究区主要湿地景观类型水稻田、苇田、滩涂的干扰程度有所增加,生态安全度均有所下降,表明人类对自然湿地生态系统的干扰越来越明显。总体来说,15年来研究区整体景观生态安全度呈现下降趋势。以往湿地生态安全的研究主要集中在环境脆弱性和保护策略方面,研究层次着重在生态系统层面,而从景观格局角度对湿地景观生态安全的研究涉及较少,文章涉及的是景观生态学可持续发展研究的一个新领域,所提出的内容实质上是景观生态安全定量表征的方法探讨。应用景观生态学方法研究生态安全,揭示景观结构与功能关系并进一步分析区域生态环境的变化趋势及其内在因素,不但为辽河三角洲湿地及其生物多样性的保护和资源开发提供了科学依据,而且丰富和发展了我国生态安全研究的理论与方法。     

Air pollution-oriented ecological risk assessment in Xiamen city,China

Urban energy consumption is one of the most important causes of air pollution. Air pollution-oriented ecological risk assessment is of great significance to the promotion of urban environmental protection. This paper focuses on ecological risk in Xiamen city caused by air pollutant discharge from urban energy consumption. The Long-range Energy Alternatives Planning model was used to establish two scenarios of energy consumption in Xiamen city, and based on different scenarios, we estimated urban energy consumption and discharge quantity of air pollutant (DQAP). A box model and an expert scoring method were used to calculate the air pollution burden (APB) of SO₂, NO₂, CO, PM₁₀ and PM_2.5 and to obtain the probabilities of different air pollution loads. An ecological risk assessment model was developed and utilized to predict Xiamen city’s ecological risks in 2020. The results showed that under an energy-saving scenario, the ecological risks for PM_2.5, SO₂ and NO₂ are high, whereas the ecological risks for CO and PM₁₀ are low. Under a baseline scenario, the ecological risks for PM_2.5, SO₂ and NO₂ are moderate, whereas the ecological risks for CO and PM₁₀ are low. In addition, the APB of SO₂, NO₂, CO, and PM_2.5, but not of PM₁₀, is predicted to rise. In the simulation, energy generation from coal is the main source of air pollution. Although the DQAP from automobiles is not high, it is predicted to rise year-on-year. In summary, the ecological risk due to pollution in Xiamen city is high, and the main pollutants are SO₂, NO₂ and PM_2.5.     

基于景观指数聚类的粤北典型区景观生态区划

通过选取不同层次的景观指数,对粤北典型区域的景观生态子区进行分区研究,探讨了景观指数在景观生态区划方面的应用,为景观生态区划提供了一种新的思路和方法。采用2009年广东省南雄市DOM数字正射影像为数据源,应用ENVI 4.3和ARCGIS 9.3对遥感影像进行解译和分类,把研究区景观类型分为耕地、林地、疏林地、城镇建设用地、水体、未利用地6大类;根据镇级行政界线把研究区分为18个景观生态子区;选取不同层次的景观指数,应用Fragstats 3.3计算研究区的景观指数;以经过筛选后的景观指数为变量因子,18个景观生态子区为聚类对象,在SPSS 17.0中选择Q型聚类欧式距离平方法进行聚类分析,在聚类图谱中选择水平距离7.5为标准线,对景观子区进行分类,把18个景观生态子区分为4个区域。聚类结果显示,各分区内子区的景观结构特征高度一致。把景观指数应用到景观生态区划,通过聚类分析,分区结果能够较好的反映景观生态结构的显著特征与空间分异状况。     

基于属性理论的长株潭城市群生态系统健康评价

城市生态系统是一种高度人工化的自然-社会-经济复合生态系统,其健康状况直接影响到城市的可持续发展。针对城市生态系统健康评价标准的不确定性问题,在构建评价指标体系的基础上,提出了基于属性理论的城市生态系统健康评价模型及评价方法。以长株潭城市群为研究区域,运用该模型和方法对其生态系统健康进行了综合评价。评价结果表明：长株潭城市群的生态系统现状属于一般健康类,其中自然生态子系统对区域整体健康状况有较大影响,评价结果与实际情况大体吻合。通过对各子系统层的健康度分析,识别了健康限制因素,并提出了相应的调控措施。采用属性理论方法开展城市生态系统健康评价,能较好地识别系统层综合健康状况和子系统层的健康状况,具有一定的实用价值,其评价结果为促进城市生态建设,有效实施生态系统健康管理提供了科学依据。     

Multiscale advanced raster map analysis system: Definition, design and development

This paper brings together a multidisciplinary initiative to develop advanced statistical and computational techniques for analyzing, assessing, and extracting information from raster maps. This information will provide a rigorous foundation to address a wide range of applications including disease mapping, emerging infectious diseases, landscape ecological assessment, land cover trends and change detection, watershed assessment, and map accuracy assessment. It will develop an advanced map analysis system that integrates these techniques with an advanced visualization toolbox, and use the system to conduct large case studies using rich sets of raster data, primarily from remotely sensed imagery. As a result, it will be possible to study and evaluate raster maps of societal, ecological, and environmental variables to facilitate quantitative characterization and comparative analysis of geospatial trends, patterns, and phenomena. In addition to environmental and ecological studies, these techniques and tools can be used for policy decisions at national, state, and local levels, crisis management, and protection of infrastructure. Geospatial data form the foundation of an information-based society. Remote sensing has been a vastly under-utilized resource involving a multi-million dollar investment at the national levels. Even when utilized, the credibility has been at stake, largely because of lack of tools that can assess, visualize, and communicate accuracy and reliability in timely manner and at desired confidence levels. Consider an imminent 21st century scenario: What message does a multi-categorical map have about the large landscape it represents? And at what scale, and at what level of detail? Does the spatial pattern of the map reveal any societal, ecological, environmental condition of the landscape? And therefore can it be an indicator of change? How do you automate the assessment of the spatial structure and behavior of change to discover critical areas, hot spots, and their corridors? Is the map accurate? How accurate is it? How do you assess the accuracy of the map? How do we evaluate a temporal change map for change detection? What are the implications of the kind and amount of change and accuracy on what matters, whether climate change, carbon emission, water resources, urban sprawl, biodiversity, indicator species, human health, or early warning? And with what confidence? The proposed research initiative is expected to find answers to these questions and a few more that involve multi-categorical raster maps based on remote sensing and other geospatial data. It includes the development of techniques for map modeling and analysis using Markov Random Fields, geospatial statistics, accuracy assessment and change detection, upper echelons of surfaces, advanced computational techniques for geospatial data mining, and advanced visualization techniques.     

Urban ecological risk assessment management platform

Due to rapid socioeconomic development in recent years, the influence of human activities on the urban ecosystem and environment is becoming more pronounced, causing increases in accumulated pollutants, resource consumption, and built-up land area. At this time, cities are facing complex ecological threats. We designed a platform to classify and assess the various types of ecological risks that cities and urban agglomerations may encounter. We used PHP to develop a web-based application, with nginx as the platform server, and MySQL to manage the background database. The platform provides users with a clearly structured, visual platform to manage ecological risk. By using this platform, users can quickly identify regional risk sources, find and describe risk factors, and predict possible consequences caused by these risks based on simulation modeling. The forecasting model and database can be synchronously updated and adjusted according to the actual situation. The visual web management platform and user security login system employ the MD5 encryption algorithm. The platform is designed to provide convenient, accurate, and scientific decision-making services for urban planning, construction, environmental protection, and other related areas.