SCREEN3模型在大气环境管理中的应用研究

基于高斯扩散的单源估算模式SCREEN3计算佛山市环境统计企业的SO2排放最大落地浓度距离,发现全市工业企业SO2排放最大落地浓度距离为0.4~13.5 km.其中水泥和火电等高架源的最大落地浓度的距离最远.佛山市及五区纳入环境统计的重点废气排放企业平均的SO2排放最大落地浓度距离为2.9~4.9 km,能直接影响国控监测点位的企业合计37家,其中40%为高明区的企业.该结果证明加强空气质量国控监测点位周边至少5 km内废气排放企业的督查有利于空气质量的改善.     

因子分析在黄河上游干流地区滑坡灾害中的应用

黄河上游地区干流滑坡灾害频繁发生,造成了严重的经济损失和人员伤亡。对该区滑坡灾害进行研究,对于指导该区的抗灾、减灾和预防工作意义重大。采用遥感技术和野外采样实测,获取了研究区的129处滑坡灾害数据,进而对滑坡灾害影响因素进行了因子分析。通过因子分析,得到公因子,并对公因子命名。在此基础上,计算了因子得分及综合得分,并对其进行了排序。研究结果表明:灾害数据变量之间有较强的相关性,滑坡发生主要受到滑体标高因子、滑体外形因子、地表因子、环境因子和滑体性质5个公共因子的影响。滑体标高、环境特征和滑体性质对滑坡的影响较大,滑体外形因素和地表因素对滑坡发生的影响相对较小。     

黑龙江及周边中强震前不同参数模型矩加速释放(AMR)现象特征分析

应用时间破裂分析方程中表征地震距释放程度的m值,选取不同空间尺度进行时空扫描研究,得到震前1年以每2个月为时间间隔的空间m值随时间变化的分布图像,运用不同参数设置计算了地震前Benioff累积应变释放特征。通过对比这些变化找出研究区内m值空间分布搜索主震破裂点扫描效果较好的参数模型,尝试性地给出了"矩释放程度空间扫描"方法应用于地震预测的经验指标。并结合与矩加速释放具有相同物理机制的加卸载响应比(Load/Unload Response Ratio)方法进行综合分析,利用这两种方法对地震进行中短期预测,达到两种方法互相检验、相互辅助的目的。考虑到本文仅对6个震例进行研究,无法给出具有统计显著性的结论,所以仍需结合其他方法进行点、线、面的综合分析。     

城市应急避难场所服务能力评价综述

应急避难场所对于救灾及灾后恢复都具有至关重要的作用。近年来有关应急避难场所的研究重点逐渐由场地选址转移到了空间优化配置及服务能力提升等方面。对我国城市应急避难场所的现状问题进行分析,提出从避难者的需求出发提升应急避难场所的服务水平;对城市应急避难服务能力评价的有关研究进行了整理,总结归纳了相关评价指标及评价方法。认为目前应急避难场所服务能力评价工作还有待进一步研究,应该建立合适的评价体系,为提高城市应急避难场所服务能力提供决策依据。     

基于风险沟通的城市居民应急宣教培训体系构建——以北京市海淀区为例

针对资源与需求不匹配的实践难题,依据风险感知与风险沟通理论,对城市居民应急宣教培训问题进行了研究。调查数据来自于北京市海淀区的1444份有效问卷。按照个性特征、灾害、社区等维度划分居民类型,在城市居民的风险感知、培训意愿和培训偏好三个方面开展分析。研究发现:城市居民风险感知状况存在差异、应急培训意愿强烈的参与意愿、应急培训偏好呈现复杂性。在此基础上提出应急宣教培训体系构建思路:一是从需求调研与专家库和师资库建设方面科学制定应急宣教培训计划;二是从组织机构、常态机制、内容体系、软硬件建设等方面开展标准化的应急宣教培训活动;三是适应社会化趋势创新应急宣教培训方式,适时开展政府购买服务,强化家庭教育和学校教育,并探索引入第三方机构测评等。     

极低风速条件下水-气界面甲烷气体传输速率分析

薄边界层理论被广为用来计算水-气界面气体通量,而气体传输速率(k600)则是其中的关键性环境因子.为了研究极低风速下小型浅水湿地水-气界面甲烷气体传输速率,以宜昌饮用水水库梅子垭水库和周邻5个富营养化池塘为研究对象,采用静态通量箱进行了为期一年的水-气界面甲烷气体通量观测,同步监测了水环境因子和气象因子.野外监测时的风速(U10)范围为0~0.75 m·s~(-1),平均值约为0.19 m·s~(-1);水温(Tw)变化范围为6.3~30.9℃,平均值约为19.3℃.结果表明,梅子垭水库和周边5个池塘水-气界面甲烷气体传输速率较小,在0.20~1.99 cm·h~(-1)之间变化,平均值约为0.50 cm·h~(-1).本研究利用表层水温和风速指标两个参数的双二次项模型和二次项加幂函数模型,回归得到了气体传输速率的数学公式,回归结果与原始数据和对k600进行深度平均(bin-averaged)后的数据均存在极显著性关系.     

基于转运站满负荷的北京市新东西城区生活垃圾物流优化方案研究

北京市新东城和新西城成立后迫切需要对现有生活垃圾物流方案进行优化,实现生活垃圾资源化处理.以北京市东西城区生活垃圾为研究对象,利用统计预测模型和GIS空间分析技术与方法,在分析了4个老城区生活垃圾产生量及所属密闭清洁站垃圾流向和流量基础上,提出了基于满负荷运行的三大转运站(马家楼、小武基和大屯)生活垃圾等距离收集运输优化物流模式,分析了现状及新物流模式下生活垃圾物料平衡.结果表明,与现状收集模式相比,等距离优化物流模式可使清运距离减少约9.3×105km.a-1,与现状相比减少10%;同时,基于三大转运站满负荷运转的,部分考虑海淀、丰台和朝阳区跨区运行的生活垃圾优化物流模式下,且充分利用现有的处理处置设施,可减少原生垃圾填埋量约28.3%.在优化模式的基础上若北京市正筹建的3座垃圾焚烧厂建成后,可使新东西城区生活垃圾焚烧、生化、填埋比例由现状1∶4.8∶4.2,达到3.8∶4.5∶1.7,可基本接近北京市2015年生活垃圾焚烧、堆肥和填埋比例达到4∶3∶3规划目标.     

呼和浩特市可镇污水处理厂工程设计

呼和浩特市可镇污水处理厂近期建设规模1.0×104m3/d,远期总规模2.5×104m3/d。污水处理主体工艺采用组合式A2/O生化池+砂滤,污泥处理采用污泥贮池+带式浓缩脱水一体机,尾水采用液氯消毒,设计出水水质执行GB 18918—2002《城镇污水处理厂污染物排放标准》一级A排放标准。介绍了该工程的工艺流程、设计参数,总结分析了工艺设计的技术特点。同时阐述了针对低温条件下的运行保障措施和要求,为寒冷地区同类污水处理厂的设计提供参考和借鉴。     

Investigation of low-molecular weight organic acids and their spatiotemporal variation characteristics in Hongfeng Lake, China

The identities and concentrations of low-molecular-weight organic acids (LMWOAs) were determined by ion chromatography throughout a 20-m water column in Hongfeng Lake, China. The spatiotemporal variations of LMWOAs and their contributions to dissolved organic matter (DOM) in a research period of 24 hr were also investigated. The results demonstrated that five LMWOAs (lactic, acetic, pyruvic, sorbic, oxalic acid) were detected, and their total concentration and proportion in DOC were 6.55 μmol/L and 7.47%. Their average levels were 2.50, 0.65, 2.35, 0.96 and 0.09 μmol/L, respectively. LMWOAs were higher during daytime (10:00-18:00 on Jun 13, 2008) than nighttime (21:00-6:00 the next morning), in particular 4.99 μmol/L high in the epilimnion ( 1 m water depth), reflecting the fact that direct import from terrigenous sources and photochemical production from humic materials were dominant during LMWOAs’ origin and accumulation. The same factors caused LMWOAs to be 0.63 μmol/L in the epilimnion higher than in the hypolimnion. The rapid decrease of total organic acid (TOA) up until 18:00 mainly resulted from bio-uptake and mineralization in the hypolimnion (>1 m water depth). Pyruvic acid increased with time in the epilimnion and decreased in the hypolimnion, largely related to the two contrary processes of continuous degradation and synthesis of macromolecular organic matter during life materials’ cycle mediated by organisms. Simultaneously, plankton behavior and thermal stratification played a pivotal role in LMWOAs’ behavior in the water column, causing decreasing and increasing profiles. The distribution of LMWOAs represents an interesting resource for biogeochemical research of DOM in aquatic ecosystems.     

Occurrence and distribution of hexabromocyclododecane in sediments from seven major river drainage basins in China

The concentrations and geographical distribution of hexabromocyclododecane (HBCD) were investigated in 37 composite surface sediments from seven major river drainage basins in China, including Yangtze River, Yellow River, Pearl River, Liaohe River, Haihe River, Tarim River and Ertix River. The detection frequency of HBCD was 54%, with the concentrations ranged from below limit of detection (LOD) to 206 ng/g dry weight. In general, the geographical distribution showed increasing trends from the upper reaches to the lower reaches of the rivers and from North China to Southeast China. Compared to other regions in the world, the average concentration of HBCD in sediments from Yangtze River drainage basin was at relatively high level, whereas those from other six river drainage basins were at lower or similar level. The highest HBCD concentration in sediment from Yangtze River Delta and the highest detection frequency of HBCD in Pearl River drainage basins suggested that the industrial and urban activities could evidently affect the HBCD distribution. HBCD diastereoisomer profiles showed that γ-HBCD dominated in most of the sediment samples, followed by α- and β-HBCD, which was consistent with those in the commercial HBCD mixtures. Further risk assessment reflected that the average inventories of HBCD were 18.3, 5.87, 3.92, 2.50, 1.77 ng/cm 2 in sediments from Pearl River, Haihe River, Tarim River, Yellow River and Yangtze River, respectively.