水安全及城市水安全研究进展与趋势

归纳和总结国内外水安全及城市水安全相关研究实践及其所用的评价指标体系,并对几种常用模型与方法的应用情况及其各自的特点进行分析,针对目前水安全及城市水安全研究中存在的主要问题,指出水安全及城市水安全进一步研究的方向:从自然、生态环境、社会经济、人文4个基本方向,以系统性、持续性、动态性和层次性4个特征为基础,分析水安全及城市水安全的概念与内涵;根据研究区域特征及其主要水安全问题建立评价指标体系;以研究者对各个模型的理解程度及驾驭能力为准则选用或改造现有模型与方法;针对加强城市应急水源地建设、突发性水安全事件应急预案、湿润地区水安全等问题开展研究。     

考虑人为因素的可靠性评估

统计数据表明,系统的可靠运行不可忽略人为误操作造成的故障,该故障发生率有时甚至超过设备本身导致的系统故障发生率。将人为因素与设备自身因素造成的系统故障进行对比,分析人为因素造成系统故障后的特点,可得出人为因素的可靠性参数。根据解析法和模拟法的相关理论计算考虑人为因素的可靠性指标,可以看出考虑人为因素的计算结果更加符合实际运行特点,便于相关人员采取对策,保障系统的安全运行。     

双台子河流域综合水质评价方法的对比研究

本研究利用双台子河2011年枯、丰、平水期的22个水文监测断面数据,并借助主成份分析法,确定主要污染因子和超标断面。分别采用综合标识指数、单因子、模糊评判、灰色关联四种评价法,选取DO、COD、NH3-N、TP、TN、BOD 6个评价因子,对河流水污染特性进行综合评价与分析。结果表明:以Bartlett球度检验,主成份因子负荷值较高的NH3-N、TP、BOD因子,累积方差贡献率91.97%,主要污染因子;超标断面的污染因子判别应考虑周边污染源的类型和河流上游的排放物浓度。模糊评判、灰色关联评价结果中均没有劣V类,两者的水质类别累积频率均在V类到达100%;考虑到单因子法在同一水质类别中不能判定多项因子共同对水体的综合影响,本文采用标识指数法为最佳评价方法。从枯、丰、平水期的劣V类和V类断面比重分析,枯水期>平水期>丰水期。从劣V类和V类数量与分布来看,盘锦市辖区控制单元的污染程度,比大洼县和盘山县污染较重。     

溪源宫水源保护区浮游植物群落结构分析研究

文章主要对2011年8月至12月溪源宫水源保护区浮游植物群落结构进行调查分析。溪源宫水体共鉴定出浮游植物6门51属137种,主要都是以绿藻门、硅藻门、蓝藻门为主。通过采用浮游植物生物量以及多样性指数对研究区域水体进行了评价,结果表明溪源宫水源保护区水质状况较好。同时还将溪源宫水源保护区、闽江、山仔水库等不同水源地的浮游植物群落结构进行对比分析,发现不同营养状态下,水体中浮游植物群落结构有显著的不同。     

曝气生物滤池处理城市污水的试验研究

采用两级曝气生物滤池处理含工业废水的城市污水。结果表明:在水温26.7~29.5℃,气/水比6∶1,进水CODcr浓度为260~600mg/L,NH3 浓度为52~90mg/L、SS浓度为60~90mg/L、滤速为2.2m/h条件下,系统取得了良好的处理效果,其CODcr、NH3、SS的平均去除效率分别达到80.2%、97.8%、95.4%、出水CODcr、NH3、SS浓度满足污水综合排放要求。     

哈尔滨市增设空气质量监测点位研究

分析哈尔滨市空气污染的现状、特征和变化趋势,对现有监测点位监测数据的代表性进行回顾性评估,确定增设点位的必要性.进行拟增设点位周围大气污染源调查,收集相关气象资料,进行城市建设规划及土地利用规划调查,划分一定的网格开展空气质量监测,采用数学统计方法对监测数据进行处理,初步确定测点位置.进行指标检查及技术论证,最终确定增设监测点位.     

退耕还林还草对土地利用变化影响程度研究——以延安生态建设示范区为例

文章在分析延安生态建设示范区2000-2003年间各土地利用类型的数量变化和空间特征的基础上,引入退耕指数、退耕影响系数等指标研究退耕还林草对示范区土地利用结构变化的影响。结果显示,示范区已退耕坡耕地36.07%,平均每年退耕12.02%,全区的退耕影响系数高达4.76,该结果表明大规模的退耕还林草活动对区域土地利用变化的影响很大,它推动了土地利用结构的优化。分乡镇的研究显示,退耕对示范区各乡镇土地利用变化的影响存在一定的差异,除2个乡镇的退耕影响系数远远低于全区平均水平外,其他7个乡镇都高于全区平均水平。     

Evaluation of ecological restoration success in mining‐degraded lands

This review article analyzes the importance of assessing the success of ecological restoration by using four indicators: assemblage of the plant and animal communities; enzyme activity; litter accumulation and decomposition; and the improvement of soil quality. These indicators can be used alone or in combinations. Even though the Society for Ecological Restoration International provided a primer containing nine attributes to use as standards for measuring ecological restoration, only three of these attributes could be easily applied due to their low costs and low time requirements. These three attributes include: diversity, vegetation structure, and ecological processes. This review article emphasizes that the criteria for the selection of the indicator species should be based upon: habitat types, abundance of species, ease of measuring, quantifying and interpreting the results, gradual enhancement with time and cost‐effectiveness, sensitivity, variability of response, size, residential status, and requirements of the area. Principal component analysis was applied to calculate the reclaimed mine soil quality index (RMSQI) and the forest soil quality index (FSQI) and the RMSQI value was compared with FSQI (optimum index value of reference ecosystem) to evaluate the restoration success. Available phosphorus, exchangeable magnesium, organic carbon, clay content, field moisture, available nitrogen, electrical conductivity, and pH are identified as the most influential parameters that regulate the health of reclaimed mine soil. Exchangeable calcium, magnesium, cation exchange capacity, sand, silt, clay content, field moisture, available phosphorus, and pH are the controlling properties for forest soil. The observed values of the above‐stated soil indicator properties were converted into a unitless score (0–1.00) and integrated into index calculations (RMSQI and FSQI). The contribution of each soil indicator properties on the calculated index was analyzed, which provides insight into the reason for the measured index. A higher RMSQI indicates better ecological restoration success. The calculated RMSQI was found to be 0.473 in the reclaimed dump, which is 6% lower than the reference ecosystem.     

典型Pb/Zn矿区土壤重金属污染特征与Pb同位素源解析

以我国典型的铅锌矿区——湖南水口山铅锌矿区及其周围地区为研究对象,分析自然土壤(A层和C层)样品中不同重金属(Pb、Zn、Cr、Cu、Cd、Hg)的污染特征和Pb同位素组成.结果表明,受铅锌选矿和冶炼活动的影响,研究区域A层土壤明显受到重金属的污染,尤其是在中心区域(水口山矿区),土壤中Pb、Zn、Cr、Cu、Cd、Hg含量最高达3966.88、 2086.25、 135.31、 185.63、 56.15、 16.434 mg/kg;受原生地质环境的影响,C层土壤重金属含量虽然变化很大,但基本反映土壤背景值.土壤中不同重金属的潜在生态危害大小顺序为Cd>Hg>Pb>Cu>Zn=Cr.中心区域多重金属综合潜在生态危害明显高于周围区域,其34%、 33%、 11%、 22%的采样点分别属于轻微、中等、强和很强生态危害,而周围区域属于轻微、中等、强和很强生态危害的采样点比例分别为68%、 16%、 10%、 6%.与C层Pb同位素相比(²⁰⁶Pb/²⁰⁷Pb为1.168～1.246,²⁰⁸Pb/²⁰⁶Pb为2.014～2.130),由于人为Pb源的污染A层土壤中²⁰⁶Pb/²⁰⁷Pb值(1.166～1.226)低而²⁰⁸Pb/²⁰⁶Pb值(2.043～2.135)高.与铅锌选矿、冶炼废水和烟尘中Pb同位素比值对比表明,A层土壤铅污染主要来自于冶炼厂烟气粉尘的沉降.     

Five-wheel framework for system-based monitoring of heavy metal pollution in rivers

Sectorial approach for monitoring heavy metal pollution in rivers has failed to report realistic pollution status and associated ecological and human health risks. The increasing spread of heavy metals from different sources and emerging risks to human and environmental health call for reexamining heavy metal pollution monitoring frameworks. Also, the sources, spread, and load of heavy metals in the environment have changed significantly over time, requiring consequent modification in the monitoring frameworks. Therefore, studies on heavy metal monitoring in rivers conducted in the last decade were evaluated for experimental designs, research frameworks, and data presentations. Most studies (∼99%) (i) lacked inclusiveness of all environmental compartments; (ii) focused on “one pollutant – one/two compartment” or sometimes “one pollutant – one compartment – one effect” approach; and (iii) remained “data-rich but information poor.” An ecological approach with integrative system thinking is proposed to develop a holistic approach for monitoring river pollution. It is visualized that heavy metal monitoring, risk analyses, and water management must incorporate tracking pollutants in different environmental compartments of a river (water, sediment, and floodplain/bank soil) and consider correlating it with riverbank land use. The systems-based pollution monitoring and assessment studies will reveal the critical factors that drive heavy metals pollutant movement in ecosystems and associated potential risks to the environment, wildlife, and humans. Also, water quality and pollution indexing tools would help better communicate complex pollution data and associated risks among all stakeholders. Therefore, integrating systems approaches in scientific- and policy-based tools would help sustainably manage the health of rivers, wildlife, and humans.