环境影响评价中卫生防护距离设置的探讨

文章结合在环境影响评价工作中的经验,对国家行业卫生防护距离标准以及《制定地方大气污染物排放标准的技术方法》中推荐的企业卫生防护距离计算方法中存在的问题提出了一些看法。建议在工作中应考虑项目生产规模、污染物性质、污染源有效高度、建设地点地形等多方面因素,结合实际情况设置合理的卫生防护距离。     

开发区环境管理指标体系研究

开发区环境管理指标体系研究是建立开发区环境管理综合体系的基础性工作,也是考核开发区生态环境建设与管理效果的定量评价工具。本文在探讨环境管理指标体系的确定原则、选择和量化等基础上。提出了一套包括环境保护指标、循环经济指标、绿色管理指标和相关性指标四类指标在内的环境管理综合指标体系。并将该指标体系应用于杭州钱江经济开发区的环境管理实践。结果表明,杭州钱江经济开发区的环境管理完善程度总得分为74．6％,总体上还有待进一步完善,特别是ISO14001管理体系认证和环境质量改善等方面有待进一步加强。     

基于主体功能区划的环境政策框架设计

“十一五”时期,国家在区域协调发展上的新亮点就是创新的提出了“主体功能区”概念,主导这一战略决策的实施需要配套各类专项政策。针对环境问题尝试在主体功能区划条件下设计区域差异化的环境政策,整个政策框架遵循区域差异、综合协调、可操控和环境优先四个原则分区域构建,各区环境政策都沿着政策定位、政府作为和重点政策三条思路充分拓展,对于各项环境政策在不同主体功能区实施的力度也进行了详细描述。本政策框架将为深入研究环境政策和启发其他配套政策的研究思路提供一定的参考。     

Spatial-temporal analysis of wetland landscape pattern under the influence of artificial dykes in the Yellow River delta

The influence of anthropogenic activities,especially artificial dykes,on the coastal wetland landscape is now considered as a serious problem to the coastal ecosystem.It is important and necessary to analyze changes of coastal landscape pattern under the influence of artificial dykes for the protection and management of coastal wetland.Our study aimed to reveal the quantitative characteristics of the coastal wetland landscape and its spatial-temporal dynamics under the influence of artificial dykes in the Yellow River delta(YRD).It was analyzed by the methods of the statistical analysis of landscape structure,five selected landscape indices and the changes of spatial centroids of three typical wetland types,including reed marshes,tidal fiats and aquaculture-salt fields.The results showed that:(1)Reduction of wetland area,especially the degradation of natural wetlands,had been the principal problem since the dykes were constructed in the YRD.The dykes created conditions for the development of artificial wetlands.However,the new born artificial wetlands were still less than the vanished natural wetlands.(2)Compared with the open area,the building of artificial dykes significantly speeded up the changes of landscape patterns and the aggravation of the landscape fragmentation in the closed area.(3)The changes of area-weighted centroids of three typical wetland landscapes were greatly affected by dykes,and the movement of the centroid of the aquaculture-salt field was very sensitive to the dykes constructed in the corresponding period.     

Surface modelling of global terrestrial ecosystems under three climate change scenarios

A high accuracy and speed method (HASM) of surface modelling is developed to find a solution for error problem and to improve computation speed. A digital elevation model (DEM) is established on spatial resolution of 13.5 km × 13.5 km. Regression formulations among temperature, elevation and latitude are simulated in terms of data from 2766 weather observation stations scattered over the world by using the 13.5 km × 13.5 km DEM as auxiliary data. Three climate scenarios of HadCM3 are refined from spatial resolution of 405 km × 270 km to 13.5 km × 13.5 km in terms of the regression formulations. HASM is employed to simulate surfaces of mean annual bio-temperature, mean annual precipitation and potential evapotranspiration ratio during the periods from 1961 to 1990 (T₁), from 2010 to 2039 (T₂), from 2040 to 2069 (T₃), and from 2070 to 2099 (T₄) on spatial resolution of 13.5 km × 13.5 km. Three scenarios of terrestrial ecosystems on global level are finally developed on the basis of the simulated climate surfaces. The scenarios show that all polar/nival, subpolar/alpine and cold ecosystem types would continuously shrink and all tropical types, except tropical rain forest in scenario A1Fi, would expand because of the climate warming. Especially at least 80% of moist tundra and 22% of nival area might disappear in period T₄ comparing with the ones in the period T₁. Tropical thorn woodland might increase by more than 97%. Subpolar/alpine moist tundra would be the most sensitive ecosystem type because its area would have the rapidest decreasing rate and its mean center would shift the longest distance towards west. Subpolar/alpine moist tundra might be able to serve as an indicator of climatic change. In general, climate change would lead to a continuous reduction of ecological diversity.     

贵阳市中心城区土壤重金属污染现状及其评价

以贵阳市中心城区五大功能区(工业区、商业区、行政区、文教区、居民区)的土壤为对象,研究土壤中重金属(Hg、As、Cu、Cr和Zn)污染的特征,采用单因子污染指数和内梅罗(N.L.Neiow)综合污染指数法对土壤重金属污染现状进行了检测与初步评价,Hakanson潜在生态危害指数评价法评价了土壤重金属的潜在生态危害,其结...     

黄河口潮间带表层沉积物重金属和营养元素的分布特征

于2010年5月采集了5个断面的黄河口潮间带高、中和低潮滩的表层沉积物样品,对沉积物的理化性质、重金属和营养元素的空间分布特征进行了研究,并采用单因子污染指数法和综合潜在生态风险指数法,参考加拿大安大略省环境和能源部关于沉积物质量指南,对黄河口潮间带沉积物质量进行了评价。结果表明,除Cu和Pb外,其它重金属和营养元素质量分数均表现为河口北侧高于南侧;除Hg外,高、中和低潮滩的表层沉积物重金属和营养元素质量分数无显著差异,没有表现出成熟潮滩明显的垂岸分带特征。Pb质量分数高于渤海表层沉积物的高值,是该区域的首要污染因子;Hg在河口北侧近河口的两个站位低潮滩质量分数达到海洋沉积物质量一类标准的1.7和1.8倍,存在一定的潜在生态风险;TN和TOC质量分数范围在安全级别,TP质量分数在20%的站位超过最低安全级别,存在一定的安全风险。与国内其它潮滩相比,黄河口潮间带重金属Zn、Cd、Hg和As的质量分数处于较低水平,Cu和Pb质量分数处于中等水平,TOC和TP质量分数与长江口潮间带相当,TN质量分数较低。研究结果将为黄河三角洲地区生态保护、环境管理和污染治理提供基础数据。     

大型商业广场亚安全区设置方式研究

针对大型商业广场类建筑普遍存在的疏散楼梯在首层不能直通室外、疏散距离过长等问题,结合某大型商业广场工程实例,通过性能化分析方法对比了两种不同亚安全区设置方式对烟气蔓延及人员疏散的影响,并给出了针对该工程实例的亚安全区设置建议,指导了该工程项目的消防设计。     

填埋场内温度场下渗滤液饱和带内硫酸盐还原行为表征

填埋场内渗滤液饱和带是物质交换和生化反应的活跃区域,也是含硫恶臭的主要发生源.本研究探究了填埋场内温度场下渗滤液饱和带内硫酸盐还原行为特征,结果表明,在25～55℃逐步升温的温度场下,渗滤液饱和带内的硫酸盐还原行为逐步增强且差异显著.渗滤液饱和带纵向SO42-和DOC迁移转化规律各异但趋势相同.硫酸盐还原行为主要发生在固液交界区和固相区,且固液交界区的电子供、受体呈特定化学计量关系.电子供体是引起硫酸盐还原行为差异的主要原因.本研究揭示的温度场下渗滤液饱和带内硫酸盐还原行为可为填埋场精准除臭提供重要依据.     

扬州市不同功能区表层土壤中多环芳烃的含量、来源及其生态风险

对扬州市6个不同功能区（公园、菜地、文教区、居民区、加油站和工业区）共59个表层土壤样品（0~10 cm）中15种美国环境保护署优控的多环芳烃（PAHs）的含量和来源进行了分析,并利用苯并[a]芘（BaP）毒性当量浓度（TEQ_BaP）评价了土壤中PAHs的生态风险.结果表明,扬州市土壤中Σ15PAHs总量范围为21~36118 μg·kg^-1,中值为295 μg·kg^-1,PAHs组成中以4~6环为主.不同功能区Σ15PAHs总量平均值高低顺序为工业区 > 加油站 > 文教区 > 菜地 > 居民区 > 公园.相关性分析表明,整个扬州市土壤中Σ15PAHs总量与土壤总有机碳（TOC）（P<0.05）和黑碳（BC）（P<0.01）含量都呈显著性正相关,但除了加油站土壤中Σ15PAHs总量与BC含量呈显著性正相关（P<0.01）外,不同功能区土壤中Σ15PAHs总量与TOC、BC含量都无显著相关性.特征比值法结果表明,不同功能区土壤中PAHs来源虽有些差异,但都主要来源于石油泄漏以及石油、煤和生物质等的燃烧.扬州市土壤中15种PAHs总TEQ_BaP值的范围是2~4448 μg·kg^-1.以荷兰土壤环境标准中的10种PAHs总TEQ_BaP值33 μg·kg^-1为标准,扬州市有45.8%的土样超标,各功能区点位超标率高低顺序为工业区（70%） > 加油站（60%） > 文教区（55.6%） > 菜地（50.0%） > 居民区（30%） > 公园（10%）.因此,扬州市不同功能区中都有部分表层土壤存在潜在的生态风险,工业区和加油站风险相对较高,而居民区和公园风险相对较低.