江门市人为源挥发性有机物排放清单

将江门市人为源挥发性有机物(VOCs)排放分为工业源、移动源、生活源和农业源四大类,以2014年为基准年,根据江门市的统计数据和实地调研结果,采用"自上而下"和"自下而上"结合的排放因子法建立了江门市人为源VOCs排放清单.结果显示江门市2014年人为源VOCs排放总量约为75.09 kt,工业源、移动源、农业源和生活源VOCs排放量为41.37、19.16、11.07和3.50 kt,占比分别为55.09%、25.51%、14.74%和4.65%.工业源中摩托车制造、集装箱制造、涂料、油墨、颜料及类似产品制造、印刷及包装印刷、塑料及橡胶制品、人造革制造、皮革鞣制加工、化石燃料燃烧、基础化学原料制造、电子制造、胶黏剂制造、家具制造等行业的VOCs排放量均超过1 000 t,为江门市重点VOCs排放行业.江门市蓬江区、江海区、鹤山市这3地以工业源排放为主,占比均超过50%,而恩平市、台山市等地则以农业源排放为主.各区和县级市在进行VOCs减排政策制定时要针对本土化的VOCs清单特征,进行精细化管控,才能取得较好减排效果.     

Carbon dioxide emissions from cities in China based on high resolution emission gridded data

Based on the China high resolution emission gridded data (1 km spatial resolution), this article is aimed to create a Chinese city carbon dioxide (CO₂) emission data set using consolidated data sources as well as normalized and standardized data processing methods. Standard methods were used to calculate city CO₂ emissions, including scope 1 and scope 2. Cities with higher CO₂ emissions are mostly in north, northeast, and eastern coastal areas. Cities with lower CO₂ emissions are in the western region. Cites with higher CO₂ emissions are clustered in the Jing-Jin-Ji Region (such as Beijing, Tianjin, and Tangshan), and the Yangtze River Delta region (such as Shanghai and Suzhou). The city per capita CO₂ emission is larger in the north than the south. There are obvious aggregations of cities with high per capita CO₂ emission in the north. Four cities among the top 10 per capita emissions (Erdos, Wuhai, Shizuishan, and Yinchuan) cluster in the main coal production areas of northern China. This indicates the significant impact of coal resources endowment on city industry and CO₂ emissions. The majority (77%) of cities have annual CO₂ emissions below 50 million tons. The mean annual emission, among all cities, is 37 million tons. Emissions from service-based cities, which include the smallest number of cities, are the highest. Industrial cities are the largest category and the emission distribution from these cities is close to the normal distribution. Emissions and degree of dispersion, in the other cities (excluding industrial cities and service-based cities), are in the lowest level. Per capita CO₂ emissions in these cities are generally below 20 t/person (89%) with a mean value of 11 t/person. The distribution interval of per capita CO₂ emission within industrial cities is the largest among the three city categories. This indicates greater differences among per capita CO₂ emissions of industrial cities. The distribution interval of per capita CO₂ emission of other cities is the lowest, indicating smaller differences of per capita CO₂ emissions among this city category. Three policy suggestions are proposed: first, city CO₂ emission inventory data in China should be increased, especially for prefecture level cities. Second, city responsibility for emission reduction, and partitioning the national goal should be established, using a bottom-up approach based on specific CO₂ emission levels and potential for emission reductions in each city. Third, comparative and benchmarking research on city CO₂ emissions should be conducted, and a Top Runner system of city CO₂ emission reduction should be established.     

Seasonal Fluctuation in Heavy Metal Pollution in Iran´s Siahroud River - A Preliminary Study (7 pp)

Background The management of its available water resources has become a key issue for Iran. During the last few decades, the water quality of Siahroud River in the coastal plain of the Caspian Sea in Gilan Province in Northern Iran has significantly degraded. The scarcity of water has been compounded by rapid population growth and increasing pollution from fertilizers, pesticides, and municipal and industrial wastes. One of the sources of this degradation is the movement of heavy metals from the river's watershed into the various water systems supported by the river, including the water system for Rasht City. Methods To study the magnitude of heavy metal pollution in the Siahroud River, seven heavy metals including Zn, Cu, Pb, Cd, Mn, Fe, and Ni were measured in duplicate from replicated water samples collected over five consecutive seasons and analyzed by Atomic Absorption Spectrometry. In situ measurements of pH were taken with the samples and total organic carbon (TOC) was analyzed by IR gas measurement. Results The results demonstrated that four of the seven heavy metals including Pb, Fe, Cd, and Mn exceeded permissible safe levels as established by the United States Environmental Protection Agency. Multivariate factor analysis suggested that industrial land-use was the main contributing factor for the high levels of Fe and Mn in the Siahroud River, whereas, Cd was principly from agricultural activities in the watershed. The data also suggested that pH and TOC had an important role in the behaviour of Pb and Mn, and that the elevated levels of these two heavy metals in Siahroud River was the consequence of other anthropogenic sources. Only negligible levels of Zn, Cu and Ni were detected. Finally, all the sampling stations were subjected to cluster analysis. The results indicated that three different zones could be distinguished according to the levels of pollution. In addition, it was shown that the urban areas did not have a significant impact on the heavy metal pollution in the river. This observation stems from the fact that the data from the sampling stations before and after Rasht City were not significantly different. Recommendation . Preventive measures need to be undertaken in the land-use systems and watersheds of the Siahroud River to reduce the pollution levels of Pb, Cd, Mn and Fe.     

南京地区农业资源的综合评价研究

客观、准确地评价地区农业资源,对于农业资源的开发和利用具有重要意义。本文从系统论观点出发,将地区农业资源分成自然资源和社会资源,在能够较好地反映系统结构特征、不同样点差异及满足易于收集、便于数量表示和定量处理等基本要求的基础上,选择了若干评价指标。利用综合指数法、区位商法等评价方法,对南京地区的主要农业资源（土地资源、气候资源与社会资源）进行了定量分析,并在此基础上,利用资源优势度分析法进行了综合评价。结果表明,南部小区的农业资源具有整体优势,南部和中部的资源利用较为合理,北部小区则具有较为丰富的后备资源。最后,根据各地资源要素的不同组合,简要给出了较适宜的开发途径,为该地农业资源的进一步开发与利用提供了依据。     

平顶山市工业可持续发展途径探讨

工业的发展既要最大限度地满足人们物质与文化生活的需要,又要创造人类与自然之间和谐的生产与生活环境。从可持续发展的角度出发,分析了平顶山这一典型资源型城市工业发展的条件和现,针长期以高耗资源和粗放经 特征的发展模式,提出了其工业可持发展 途径,实现结构合理化及优化投资环境;建立资源节约型,在环境质量和资源基础上都可以长期承受的新型工业发展模式。     

基于改进粒子群算法和元胞自动机的城市扩张模拟——以南京为例

为合理利用多智能体算法解决城市扩张动态模拟问题,基于地理学理论和社会学规律对粒子群算法进行有针对性的改进,提出分段式粒子群算法(SPSO),并结合元胞自动机模拟复杂时空过程的能力,构建出适用于城市扩张模拟的地理元胞自动机SPSO-CA。在SPSO-CA中我们利用多时像的土地利用数据、交通路网数据和地形数据,挖掘出1995~2000年南京城市扩张的土地转换规则。再由此规则实现1995~2008年的南京市城市扩张过程的动态模拟。最后对比SPSO-CA、PSOCA及NULL模型结果得:SPSO-CA总精度86.3%,Kappa系数为0.792,Moran’s I为0.078,PSO-CA总精度83.6%,Kappa系数为0.755,Moran’s I为0.054,NULL模型总精度81.9%,Kappa系数为0.741,真实的Moran’s I为0.072。这表明无论是总精度还是空间一致性,SPSO-CA都优于PSO-CA和NULL模型,即用SPSO-CA模拟城市扩张是可行的。     

危险废物城市环境风险评估方法及案例研究

在不同经济社会发展情况下,危险废物的风险源危险性和风险受体脆弱性存在很大差异。因此,城市对危险废物采取的风险防控和应急措施应该因城市而异。然而,目前我国大部分城市对危险废物的管理仍然是全过程从严管理,并未建立基于风险评估的环境管理体系。本研究以城市为边界,从危险废物的风险源危险性、风险受体脆弱性和风险防控与应急能力3个维度构建评估指标体系,然后在层次分析法的基础上,采用等比例分配法对指标进行赋权,并运用线性加权法合成经过正向化处理的指标评分值,从而得出危险废物城市环境风险评估结果。通过计算3个维度评分值的耦合度,可以确定风险防控与应急能力维度与风险源危险性维度和风险受体脆弱性维度的匹配程度。运用该方法对深圳市开展案例研究,结果表明,深圳市在“无废城市”建设试点期间,主要通过提升风险防控与应急能力,将危险废物城市环境风险值降低了20.7%;并且风险防控与应急能力维度与风险源危险性维度和风险受体脆弱性维度的匹配度较高,属于高风险高能力城市。因此,建议深圳市在下一步工作中,继续完善涉危险废物项目环境准入审查,严格评估危险废物再利用安全,不断加强信息化手段在环境监管中的应用,避免涉危险废物突发环境事件的发生,全面降低危险废物对城市造成的环境风险。     

“无废指数”反馈机制研究——以浙江省“无废城市”建设为例

“无废指数”是定量、客观、科学、系统、简明的综合性指数,是为了反映“无废城市”建设和固体废物治理成效。“无废指数”建立发布之后如何将指数结果反馈给相关部门,提高指数对管理部门的决策指导作用和时效性是“无废指数”最重要的应用功能。基于我国“无废城市”建设指标体系和浙江省“无废城市”建设水平和任务安排,在前期“无废指数”研究基础上建立了“无废指数”反馈机制,通过拆解指标和分析时效数据,强化“无废指数”的实时反馈功能和 “无废城市”建设任务的指导作用。根据浙江省某年“无废指数”测算结果,分别针对性的给出了省级层面和市级层面的应用建议和实例分析,深化了“无废指数”多维度比较分析和研判的应用功能,实现了在工作考核之前的数据动态更新和及时反馈,将提升基层管理策略调整的精准性、时效性,确保年度等目标的实现。为“无废城市”建设中不同层级管理部门制定管理决策提供依据和支撑。“无废指数”反馈机制创新了固体废物污染防治管理工作机制,进一步形成比学赶超的赛马机制,充分发挥了“无废指数”对全域“无废城市”建设的导向引领作用。     

“无废城市”建设期间工业固体废物管理体系构建

我国工业固体废物产生量大、种类繁多、风险具有隐蔽性,亟需构建规范化管理体系。“无废城市”建设可充分调动社会资源,统筹推动工业固体废物全过程管理工作,在此期间构建我国工业固体废物管理体系具有重要意义。从我国工业固体废物产生与管理现状出发,剖析工业固体废物管理存在的短板,针对性地提出我国工业固体废物管理体系构建原则、方法和主要内容,以期为提升工业固体废物管理工作提供参考。     

福州市城市化进程与大气污染关系研究

以福州市为研究区域,选取福州市1996—2012年的时间序列数据,将大气污染物浓度作为被解释变量,城市化水平作为解释变量,分别设定二次曲线模型和三次曲线模型,通过比较PM10、SO2、NO2浓度与城市化水平的二次曲线和三次曲线模型的回归拟合效果,得出福州市大气污染与城市化水平之间的演化规律。结果表明,1996—2012年,福州市城市化水平平稳上升,城市的大气污染程度与城市化水平之间的关系并不完全符合"倒U型"的环境库兹涅茨曲线,不同的污染物类型具有不同的演化规律。PM10、SO2与城市化水平呈"倒N型"的曲线关系;NO2与城市化水平之间呈现"倒U型"曲线关系。由于研究的时间序列较短,因而研究结果可能只是真实曲线的一部分,福州市的大气污染与城市化水平之间的关系还有待进一步研究。