基于组合赋权法的宁波市城市生态系统质量评价

为评价宁波市城市生态系统质量状况,在建立城市生态系统质量指数(UEQI)评价模型的基础上,首先由不同等级指标值线性拟合得到的标准化函数进行原始数据的标准化,然后根据变异系数法与层次分析法相结合的组合赋权法确定指标权重,最后对宁波市9个评价区的城市生态系统质量进行评价对比。结果表明,2006年宁波市城市生态系统质量属于一般水平(UEQI=64),其中宁海县城市生态系统质量最高(UEQI=70),其次为余姚市(UEQI=69)、奉化市(UEQI=68)、主城区(UEQI=67)、北仑区(UEQI=65)、镇海区(UEQI=62)、慈溪市(UEQI=61)和象山市(UEQI=59),而鄞州区的城市生态系统质量最差(UEQI=53)。     

陕西省生态城市建设评价指标体系

从陕西省各城市的社会状况和地域情况入手,选择和构建了适合陕西省自身情况的生态城市指标评价体系,并进一步建立了描述城市生态系统发展状况的标准化处理方法和计算方法,最后使用以上方法,对陕西省2008年的生态城市建设进行综合分析和评价。结果表明:陕西省10个城市的生态城市建设基本可以分为3类,其中西安等3个城市生态建设水平较高;铜川市等5个城市生态建设水平一般;延安市等2个城市生态城市建设水平较低。各个城市都应该依照自身情况明确生态建设的发展方向,制定生态建设方案,大力开展城市生态建设,从而使整个陕西省生态实现一体化发展。     

空气污染物远程传输对海岛型城市污染的影响

为探明海岛型城市的污染成因,采用MM5/CALPUFF模型定量测算区域传输对舟山群岛大气环境的影响.结果显示,舟山在冬季主要受西北方向大陆上空高浓度污染物传输影响,上海对其外来影响最大,SO2和NO2的贡献率在71%~79%和72%~83%之间;而在夏季受偏南气流影响,浙江省对其影响最大,SO2和NO2贡献率在52%~63%和49%~55%之间.舟山群岛在高频率、高风速的持续性西北风和偏北风作用下,易形成重污染天气,各监测点NO2最大小时浓度在122~194μg/m3之间,区域传输的贡献率在98%以上.开展区域联防联控工作,才能根本改善舟山群岛环境空气质量.     

四川遂宁现代生态田园城市建设的研究

生态田园城市是现代城市的发展目标,已成为我国城市建设的热点.现代生态田园城市建设的关键在于建立城市生态基础设施系统,为城市可持续发展和营造宜居环境提供生态系统服务.遂宁现代生态田园城市规划将生态基础设施规划、产业发展规划、社会公共服务设施规划"三规合一",营造一个生态安全健康、生产低碳高效、生活安康富裕,社会公平和谐的美丽新城市.     

天津市生态环境监测

“十五”期间,天津市开展了生态环境监测工作,并取得了一定成绩,但由于生态监测指标体系和技术手段的不完善,生态监测的继续开展仍存在着一定的问题。从今后环境保护的实际需求出发,提出了天津市开展生态监测的总体构想。     

利用黄河生态屏障建设济南生态城市

黄河与济南息息相关,建设沿黄大型绿化体系,构筑绕城生态屏障是济南建设生态城市的一个重要内容,阐述了构筑黄河生态屏障对建设泉城生态城市的重要意义,提出了沿黄生态屏障的建设思路,进行了生态屏障效果分析,并从生态学原理角度提出了生态化建设中应注意的几个方面。     

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.     

Hydrologic and water quality performance of a laboratory scale bioretention unit

A bioretention unit (BRU) or cell is a green infrastructure practice that is widely used as a low impact development (LID) technique for urban stormwater management. Bioretention is considered a good fit for use in China’s sponge city construction projects. However, studies on bioretention design, which incorporates site-specific environmental and social-economic conditions in China are still very much needed. In this study, an experimental BRU, consisted of two cells planted with Turf grass and Buxus sinica,was tested with eighteen synthesized storm events. Three levels (high, median, low) of flows and concentrations of pollutants (TN, TP and COD) were fed to the BRU and the performance of which was examined. The results showed that the BRU not only delayed and lowered the peak flows but also removed TN, TP and COD in various ways and to different extents. Under the high, medium and low inflow rate conditions, the outflow peaks were delayed for at least 13 minutes and lowered at least 52%. The two cells stored a maximum of 231 mm and 265 mm for turf grass and Buxus sinica, respectively. For both cells the total depth available for storage was 1,220 mm, including a maximum 110 mm deep ponding area. The largest infiltrate rate was 206 mm/h for both cells with different plants. For the eighteen events, TP and COD were removed at least 60% and 42% by mean concentration, and 65% and 49% by total load, respectively. In the reservoir layer, the efficiency ratio of removal of TN, TP and COD were 52%, 8% and 38%, respectively, within 5 days after runoff events stopped. Furthermore, the engineering implication of the hydrological and water quality performances in sponge city construction projects is discussed.

Open image in new window

     

国土空间规划体系下的全域环境空间管控研究——以苏州市为例

立足新时期国土空间规划体系强化全域环境空间管控,推动各类环境要素管控分区降尺度与融合化,实现环境污染源头管控与精准落地,是系统应对当前高强度、复合型环境问题的有效途径.构建基于国土空间规划的全覆盖、多层级环境功能分区管控体系,在单要素人为污染物排放量和综合排放强度评价基础上,提出环境功能分区的管控等级集成评价模型,探索分区管理和分级施策的全域环境空间管控途径,并以高度工业化和城市化的苏州市为案例开展应用研究.结果表明：①基于国土空间规划体系的"三区三线"与现行环境要素管控分区的空间耦合性,建立由8个一级分区和21个二级分区构成的环境功能分区管控体系;②按照"三区三线"管控属性和综合排放强度,可进一步将环境功能分区的管控等级由高至低划分为Ⅴ、Ⅳ、Ⅲ、Ⅱ、Ⅰ及○级;③苏州市人为污染物排放量总体偏大,城镇空间内的工矿业生产空间及城乡居住空间、农业空间内的生产养殖空间的综合排放强度较高,主要分布于姑苏、虎丘等中心城区及昆山、常熟等工业集聚区;④苏州市Ⅴ级和Ⅳ级管控区以工矿业生产空间、城乡居住空间和特殊生产空间为主,Ⅲ级管控区以混合空间为主,Ⅱ级以农业种植空间和生产养殖空间为主,Ⅰ级和○级管控区主要包括一般生态空间和生态保护红线.案例应用表明,国土空间规划体系下的全域环境空间管控可操作性强,可实现环境规制精准落实到污染源空间;建议以环境功能分区分级管控体系为基础,将环境空间管控全面融入国土空间规划体系,建立综合施策的环境协同管理机制.     

厦门湾空气质量对新冠疫情管控的响应

通过对厦门湾城市群在COVID-19封锁前后6周内（2020-01-11~2020-02-21）的空气污染物浓度变化进行分析,以确定影响本区域空气质量的主要人为污染源.在春节假期与封锁叠加期间,SO₂、NO₂、CO、PM₁₀和PM_2.5浓度相比于节前1周的下降幅度分别为6%~22%、53%~70%、34%~48%、47%~64%和53%~60%,而O₃浓度变化没有一致的规律性;与2018~2019年历史同期相比,PM_2.5、PM₁₀、CO和NO₂的下降幅度更大,但SO₂的下降幅度相当;在复工复产后,NO₂的反弹幅度最大（38%~138%）,远高于SO₂（2%~42%）,显示交通源相对于固定源更易受到疫情管控的影响;春节后风速增大和降水增多也为SO₂、NO₂和PM的下降提供了正向影响.利用反距离插值权重法,得到管控前后厦门湾城市群不同污染物的空间分布变化特征,显示NO₂浓度高值区的变化与交通源高度相关,CO和SO₂空间分布特征保持稳定,复工后PM_2.5和PM₁₀在人口与路网密集区变化不明显,而在工地相对集中区域有明显上升,O₃空间分布的低值区与NO₂的高值区具有较好的空间匹配性,显示NO₂对O₃滴定作用明显,可为进一步O₃污染减排措施的制定提供参考.