银川市城市生态经济系统的物质流分析

运用物质流分析法对银川市2006-2012 年生态经济系统中的物质流进行分析。结果显示, (1)不含水的物质输入与输出总量均呈先减后增的趋势。物质输入以气体和固体为主, 其中固体物质主要以化石燃料、矿物和建筑材料的增加最为明显; 物质输出端主要以气体为主, 其中化石燃料燃烧废气排放量和工业废气(二氧化硫、工业烟粉尘)排放量在总气体排放中所占的量最多。固体废弃物的增加, 也加大了研究区的环境压力。(2)水输入量波动下降, 水输出量不断上升。农业用水和工业用水约占总用水量的98%, 农业用水量在不断下降, 工业用水量和生态用水量在不断上升; 废水排放以工业污水为主。(3)从整体来看, 物质利用强度和输出强度在缓慢降低, 银川市经济发展一方面依靠大量的资源投入, 另一方面, 环境污染的压力在迅速减轻; 单位产值的物质消耗量在减少, 废弃物的输出效率明显提高, 银川市资源利用效率在稳定提高。     

厦门市生态经济系统物质流分析

运用物质流分析(MFA)方法和STIRPAT模型,对1996～2007年厦门生态经济系统物质输入与输出进行分析,结果表明:(1)在不考虑水的情况下,物质输入与输出不断增加(年均增长率分别为11.48%、11.41%),但均小于GDP增长速度(15.94%),二者成正比;物质流增长集中表现在对金属、非金属矿物的需求及化石燃料燃烧废气、工业废气的排放.(2)用水量和废水排放量均不断增加,尤以生活污水排放量增长速度较快,加重了区域环境的压力.(3)物质输入与GDP、物质输出与GDP呈良好线性关系.厦门经济发展很大程度上依赖资源消耗.(4)单位GDP物质输入与输出均不断减小,表明资源利用率、处置率明显提高,区域逐步走向生态环境与社会经济的协调发展.(5)构建了厦门物质输入驱动机制的STIRPAT模型,得出人口数量、富裕程度、技术水平或经济结构每分别发生1%的变化,将引起输入量相应发生0.99%、0.98%、0.17%、0.31%的变化.提升技术水平和优化经济结构具有较大调控空间,将是厦门物质减量化战略的实施重点.     

城市物质流分析框架及其指标体系构建

借鉴国内外物质流分析的研究成果,结合我国城市物质代谢特点,建立了城市物质流分析的框架及指标体系。该框架以城市社会经济系统物质通量的变化为核心,增加了对城市社会经济系统可持续能力的考察以及对城市和区域循环经济贡献的关注。论文识别了城市物质流分析中系统边界界定等关键问题,并提出了解决方法;指标体系在借鉴国家层面物质流分析指标体系的基础上,注重对城市经济系统内部循环及不同城市经济系统间的物质循环的考察,增加了再生资源输入量、内部资源回收量、可回收废物输出量、新鲜水输入量、中水回用量等指标,用于表征城市可持续发展的能力及实践成果。     

基于POET模型的重庆市水资源利用影响因素分析

作为人类生存和社会发展的重要基础资源,水资源的合理高效利用对人类社会的可持续发展具有重要战略意义。目前,大量结构性因素深刻影响着城市乃至国家层面的水资源利用机制。文章基于Duncan的生态复合体(POET)模型,运用多元回归分析方法,从人口、社会组织、环境和技术4个维度,探讨了重庆市水资源利用结构性因素对用水总量和用水强度的影响。结果表明:人口维度方面,总人口及15~64岁人口比率的增加会加大用水总量、提高用水强度;社会组织维度方面,城镇化率、第二产业占GDP比重的增长对用水总量和用水强度的增加具有促进作用,而人均GDP的增加会减少用水总量、降低用水强度;社会环境维度方面,实际利用外商投资额占GDP比值的增长会加大用水总量、提高用水强度,而水价的上涨会抑制用水总量和降低用水强度;技术维度方面,污水处理率的提高会减少用水总量、降低用水强度。     

辽宁省能源消费和碳排放与经济增长的关系

在广泛收集资料的基础上,对辽宁省的能源利用效率、能源消费强度与经济增长的关系进行探索,其目的为辽宁省的节能与CO2减排及经济的快速发展提供科学依据。结果表明:辽宁整体单位GDP能耗高出全国水平52%—70%,第二产业单位GDP能耗是第三产业的5.67—8.41倍,第一产业的7.2—9.0倍;辽宁能源利用率只有全国平均水平的60%左右,第二产业能源利用效率只有第一产业的11.89%,第三产业的12.60%;GDP年增长速率大于能源消费量年增长速率,能源投入增加促进了国民生产总值的提高,但是经济增长并不是完全依赖能源消费的增长;能源消费量与经济增长的关系,呈现出"N型"曲线特征,随着GDP的增加,能源消费量出现反复上升和下降过程,辽宁省能源消费和经济增长关系没有达到长期的均衡性,尚处于非平衡的发展阶段。     

厦门市海岸带水污染负荷估算及预测

综合采用灰色模型、曲线回归等预测方法,建立了基于厦门市海岸带特征的主要污染源水污染负荷估算及预测模型,并采用厦门市历年统计数据对模型加以验证.对厦门市近岸海域近10年的废水和主要污染物质排放量估算的结果表明:万元产值工业废水排放量呈逐年下降的趋势,而各污染物的排放总量却逐年缓慢增长;在点源污水排放总量预测中,约76%的氮、磷来自于生活污水;在非点源污染负荷中,农业非点源中的氮、磷负荷占较大比例,城市非点源污染负荷比例最小.2005年厦门海岸带各污染源产生的氮污染负荷大小比较结果为:生活污染源>农业非点源>工业污染源>旅游业污染源>城市非点源,磷污染负荷则为:农业非点源>生活污染源>工业污染源>旅游业污染源>城市非点源.     

通州市快速工业化县域生态经济系统物质代谢演变

1996-2005年,通州市工业化得到了快速的发展,与此同时,资源环境压力也越来越大。本文采用区域系统物质代谢的方法,分析了通州市自然环境负荷的演变。结果表明：固体废弃物输出的增长率高于固体物质输入增长率;废气排放的增长率高于化石燃料输入的增长率;废水输出的增长率高于淡水输入的增长率;固定物质快速积累;通州市物质代谢效率不断提高;物质代谢的速率持续上升,环境冲击越来越大;在物质不断减少、环境得不到有效改善的情况下,提高物质代谢效率对于可持续发展具有更为重要的意义;在快速工业化条件下,为提高县域系统物质代谢效率,降低物质代谢脆弱性,需要建立合理的产业结构体系、提高物质循环利用水平以及建立物系管理体系等一系列措施。     

高产水稻品种及种植方式对稻田甲烷排放的影响

采用大田试验研究了不同水稻品种（早稻：超级稻“陆两优996”和常规稻“创丰1号”;晚稻：T优259）及不同种植方式（直播和移栽）对稻田甲烷排放通量的影响.结果表明：早稻晒田前甲烷排放量占排放总量的52%～73%,排水晒田减少了甲烷排放通量;晚稻生育前期甲烷排放量占生长期间甲烷排放总量的70%.早稻直播方式的甲烷排放通量均值低于移栽种植方式,但甲烷排放总量大于移栽种植方式;晚稻直播方式的甲烷排放通量均值与排放总量都大于移栽种植方式.早、晚稻直播方式的单位稻谷甲烷排放量与移栽种植方式间均存在显著差异,早稻中超级稻和常规稻直播方式的单位稻谷甲烷排放量分别比移栽方式高4.84和3.48 g·kg^-1稻谷,常规稻的甲烷排放量高于超级稻;晚稻直播方式的单位稻谷甲烷排放量比移栽方式高6.67 g·kg^-1稻谷.相同面积、相同时间不同种植方式的稻田甲烷排放量、单位经济产量甲烷排放量表现为：早稻：常规稻直播＞常规稻移栽＞超级稻直播＞超级稻移栽;晚稻：直播＞移栽.     

基于生态足迹方法的西南地区典型资源型城市攀枝花市的可持续发展研究

生态足迹是衡量区域可持续发展程度的重要评价指标。运用生态足迹方法, 估算西南地区典型资源型城市攀枝花市1995-2013 年人均生态足迹及人均生态承载力, 并在此基础上通过生态压力指数、单位万元GDP 生态足迹以及生态可持续指数对攀枝花市生态可持续利用状况进行评价与分析。结果表明：攀枝花市人均生态足迹上升较快尤其是能源生态足迹, 同期人均生态承载力变化趋势较小, 人均生态赤字的变化与人均生态足迹的增长具有同步性, 从1995 年的4.783 hm²·人^-1 增长到2013 的11.74 hm² 人^-1, 人均生态赤字较大; 生态压力指数逐年增加, 2013 达22.15, 较1995 年增长8.69, 生态环境压力较大; 单位万元GDP 生态足迹随着攀枝花市经济转型, 从1995 年的6.14 hm²·万元^-1下降到2013 年的1.72 hm²·万元^-1, 自然资源的利用率有逐年提高的趋势; 但近年来生态可持续指数<0.2, 且有下降趋势, 其可持续发展程度仍属于强不可持续。     

安徽省温室气体排放趋势及减排路径研究

控制温室气体排放是我国积极应对全球气候变化的重要任务, 区域温室气体排放控制是实现国家减排目标的基本保障。通过建立安徽省温室气体排放量的指标体系, 计算安徽省2001-2010 年十年间各领域产生的温室气体, 并利用回归分析预测安徽省2015 年和2020 年温室气体排放量; 应用聚类分析方法将全省各地市温室气体排放类型进行划分, 利用地理信息系统(Arc GIS)软件分析碳排放空间格局。结果显示: 2001 年以来, 安徽省的温室气体排放量呈现逐年上升趋势, 至2010 年达到3.96 ×10⁸ t。单位GDP 碳排放量自2007 年开始呈现下降趋势, 表明碳减排的经济效益已有所提高。在各排放源类别中, 原煤消耗产生碳排放量最多, 且增势明显。区域格局分析表明, 马鞍山市为省内工业发达城市, 温室气体排放源主要为能源及工业领域, 排放量也较多, 温室气体排放地域差异显著。根据安徽省经济发展特点及温室气体排放特征有针对性提出的减排对策对于健全全省碳减排体系具有积极意义。     

Material flow analysis (MFA) of an eco-economic system:a case study of Wujin District,Changzhou,China

The economic and ecological aspects of a social system are coherently linked and can be examined by its material and energy flows.In this study,we used the material flow analysis (MFA) to model the material input and output of the Wujin District of Changzhou City,Jiangsu Province in China.It was revealed that:(1) total material input and material input per capita increased with economic development,while the total material out-put and material output per capita decreased consistently;(2) except for water,the total material input continued to increase.Input of solid materials grew faster than that of gaseous materials,while the total material output declined.The gas output accounted for the largest pro-portion of the output resulting in primary environmental pollution as burned fossil fuel; (3) water use in agriculture continued with an increasing trend while that in industrial and residential sectors decreased per capita.The total wastewater discharge and wastewater discharge per capita decreased with a faster decreasing rate of residential was-tewater discharge followed by industrial wastewater dis-charge; (4) material input per unit GDP fluctuated and material output per unit GDP decreased.A decreasing trend in both water use and wastewater discharge per unit GDP was disclosed.These results suggest that the effi-ciency of resource use in the Wujin District has improved.This weakened the direct link between economic develop-ment and environmental deterioration.Additionally,we discussed the harmonic development between environ-ment and economy.Potential limitations of MFA's application were also discussed.It is suggested that effec-tive measures should be taken for the enforcement of cir-cular economic strategies and the construction of a resource-saving economy     

Material flow analysis (MFA) of an eco-economic system: a case study of Wujin District, Changzhou, China

The economic and ecological aspects of a social system are coherently linked and can be examined by its material and energy flows. In this study, we used the material flow analysis (MFA) to model the material input and output of the Wujin District of Changzhou City, Jiangsu Province in China. It was revealed that: (1) total material input and material input per capita increased with economic development, while the total material output and material output per capita decreased consistently; (2) except for water, the total material input continued to increase. Input of solid materials grew faster than that of gaseous materials, while the total material output declined. The gas output accounted for the largest proportion of the output resulting in primary environmental pollution as burned fossil fuel; (3) water use in agriculture continued with an increasing trend while that in industrial and residential sectors decreased per capita. The total wastewater discharge and wastewater discharge per capita decreased with a faster decreasing rate of residential wastewater discharge followed by industrial wastewater discharge; (4) material input per unit GDP fluctuated and material output per unit GDP decreased. A decreasing trend in both water use and wastewater discharge per unit GDP was disclosed. These results suggest that the efficiency of resource use in the Wujin District has improved. This weakened the direct link between economic development and environmental deterioration. Additionally, we discussed the harmonic development between environment and economy. Potential limitations of MFA’s application were also discussed. It is suggested that effective measures should be taken for the enforcement of circular economic strategies and the construction of a resource-saving economy __________ Translated from Acta Ecologica Sinica, 2006, (8): 2578–2586 [译自:生态学报]     

基于物质流分析和数据包络分析的区域生态效率评价——以江苏省为例

区域生态效率(eco-efficiency)评价是考量区域可持发展的重要内容.基于物质流分析(material flow analysis, MFA)构建区域生态效率评价指标体系,并将污染物排放作为一种非期望输入引入到数据包络分析(data envelopment analysis, DEA)模型中,以江苏省(1990～2005年)为例进行生态效率分析评价.结果表明,江苏省的区域生态效率在1990～2005年期间呈现逐步上升的趋势.但是,同期的总物质投入(total material input, TMI)、物质需求总量(total material requirement, TMR)和污染物排放量也呈上升趋势.因此,江苏省社会经济发展和环境影响总体上呈现"弱脱钩(weak de-link)".     

中国城市低碳发展水平评估方法研究

城市低碳发展水平评估对推动城市可持续发展,提高城市应对气候变化能力具有重要意义。基于低碳城市理念和内涵,构建了由6类(碳排放、经济发展、社会进步、交通、人居环境和自然环境)、13个具体指标组成的城市低碳发展评价指标体系及综合评价指数,并结合中国35个城市2010—2015年社会经济发展数据,对参评城市的低碳发展水平及趋势进行评价与分析。结果表明:多数参评城市的低碳发展水平呈现上升的趋势,其中,城市低碳发展水平最高和最低城市名单无明显变化,且深圳市在2010年和2015年均为低碳发展水平最高的城市。与2010年相比,杭州市、银川市、郑州市、石家庄市和昆明市的城市低碳发展指数相对持平,而成都市、长沙市、合肥市和大连市有所下降。城市低碳发展水平较低可能是由于城市碳排放、经济、社会、交通、人居环境和自然环境等方面之间协调发展程度不够造成的。最后,对如何提高我国城市低碳发展水平给出了对策和建议。     

北京城市化进程中家庭食物碳消费动态

不可持续的家庭消费是造成全球环境问题的主要原因,食物碳消费研究是促进可持续家庭消费的重要内容。基于政府宏观统计数据,分析北京城市化进程中城市家庭食物碳消费的变化趋势和影响因素。结果表明,与1979年相比,1999年北京城市家庭人均及户均食物消费量分别减少了15.2%和38.6%,而食物碳消费总量增加了28.5%,食物碳消费结构由“以粮食为主”转变成“以粮食和肉类为主”。城市化进程中,以1993年为界,家庭食物人均及户均碳消费量均由明显减少趋势转变为明显增长趋势,变化的主要原因由“食物消费结构变化引起的人均谷物类碳消费量的减少”转变为“人均食物消费量增加引起的人均肉类碳消费量的增加”。北京城市家庭已基本完成食物消费结构的转变,人均食物消费量仍继续增加。GDP指数是影响人均食物碳消费量的主要经济因素,经济的继续增长可能带来人均食物碳消费量的增加,北京城市家庭食物碳消费尚未达到稳定状态。     

Features and influencing factors of carbon emissions indicators in the perspective of residential consumption: Evidence from Beijing,China

This research establishes a residential indirect carbon emissions model through input–output structure decomposition analysis (IO-SDA) and LMDI, analyses the influencing factors affecting urban and rural residential carbon emissions indicators in Beijing through input–output tables from 2000 to 2010, and calculates the direct carbon emissions from residential consumption. As the results suggest, the total carbon emissions from residential consumption in Beijing showed volatility. Growing rural and urban differences in direct emissions, and for indirect emissions, mean that urban greatly exceeds rural in this regard. Rising per capita GDP and population, as well as intermediate demand and sectoral emissions intensity change induce growth in indirect emissions in both urban and rural settings: of which, per capita GDP contributes the most. Declining energy intensity contributes the most to emission reductions, followed by residential consumption rates, the rural to urban consumption ratio and consumption structure effects are much smaller.     

Reverse Problem Formulation for Integrating Process Discharges with Watersheds and Drainage Systems

This work introduces a new approach to integrating the discharges of industrial processes with macroscopic watershed systems. The key concept is that environmental quality models (such as material flow analysis) can be inverted and included in an optimization formulation that seeks to determine the maximum allowable target for the process discharges while meeting the overall environmental requirements of the watershed. Because of its holistic nature, this approach simultaneously considers the effects of the inputs and outputs to the watershed (e.g., agricultural, residential, wastewater treatment plants, industrial, and so on) and the various physical, chemical, and biological phenomena occurring within the watershed. An optimization formulation is developed to systematically represent the reverse problem formulation. To illustrate the effectiveness of this approach, a case study is solved to manage phosphorus in Bahr El‐Baqar drainage system leading to Lake Manzala in Egypt. The key environmental and economic aspects are addressed and used to screen plant location and discharges.     

基于物质流分析方法的生态海岛建设研究——以长海县为例

建设生态海岛是海岛生态经济系统实现可持续发展的重要途径。运用物质流分析方法对长海县的物质输入与输出状况进行计算,并用物质消耗强度、废物排放强度和环境负荷强度3个指标衡量了该海岛县生态效率的变化,分析了技术进步对海岛生态经济系统生态压力变化的贡献状况。结果表明,2003—2009年间,长海县物质输入总量、物质输出总量和环境负荷总量呈增长态势;生态效率明显提高;技术进步对减轻海岛生态经济系统生态压力的贡献没有抵消经济增长所产生的生态压力的增加量。为了减少物质输入和废物输出,减轻经济活动对海岛生态系统产生的压力,建立创新型管理机制有效促进技术进步,不断提高生态效率具有特别重要的作用。     

Impact of the Economic Structure of Cities on Urban Scaling Factors: Implications for Urban Material and Energy Flows in China

We explore the population‐scaling and gross domestic product (GDP)‐scaling relationships of material and energy flow (MEF) parameters in different city types based on economic structure. Using migration‐corrected population data, we classify 233 Chinese city propers (Shiqu) as “highly industrial” (share of secondary GDP exceeds 63.9%), “highly commercial” (share of tertiary GDP exceeds 52.6%), and “mixed‐economy” (the remaining cities). We find that, first, the GDP population‐scaling factors differ in the different city types. Highly commercial and mixed‐economy cities exhibit superlinear GDP population‐scaling factors greater than 1, whereas highly industrial cities are sublinear. Second, GDP scaling better correlates with city‐wide MEF parameters in Chinese cities; these scaling relationships also show differences by city typology. Third, highly commercial cities are significantly different from others in demonstrating greater average per capita household income creation relative to per capita GDP. Further, highly industrial cities show an apparent cap in population. This also translates to lower densities in highly industrial cities compared to other types, showing a size effect on urban population density. Finally, a multiple variable regression of total household electricity showed significant and positive correlation with population, income effect, and urban form effect. With such multivariate modeling, the apparent superlinearity of household electricity use with respect to population is no longer observed. Our study enhances understanding of MEFs associated with Chinese cities and provides new insights into the patterns of scaling observed in different city types by economic structure. Results recommend dual scaling by GDP and by population for MEF parameters and suggest caution in applying universal scaling factors to all cities in a country.