我国公众灾害教育研究综述

面向公众的灾害教育是防灾减灾工作中的重要一环。通过对公众灾害教育相关研究梳理,明确其概况、实施途径,在此基础上提出策略促进其开展,进而提高全民防灾素养。     

城市生活垃圾管理规划优化研究

通过研究为城市生活垃圾规划管理系统建立了不确定性多目标规划模型 ,并将其应用于深圳市。目前深圳市主要有 2种处理方式 :焚烧和填埋。根据不确定性多目标规划模型 ,在此就深圳市内生活垃圾处理规划未来 5a内(2 0 0 3～ 2 0 0 7年 )进行了 4种情景计算和分析 ,包括 :保证系统经济投入最小化 ;保证处理过程中大气污染最小化 ;保证处理过程中地下水污染最小化 ;以及结合当地专家和政府部门的偏好等。根据结果比较 ,认为第 4种处理方案最为科学。     

Impacts of farmer field schools on productivity of vegetable farming in Indonesia

This study assesses the impact of farmer field schools (FFS) on the productivity of vegetable farming in vegetable‐producing areas of East Java and Bali, Indonesia. The FFS have equipped over 3,000 vegetable farmers with integrated crop management knowledge applicable to chilies and tomatoes. The FFS are expected to enhance farmers’ capacity such that they can increase production. This study employs a difference‐in‐differences (DiD) method to overcome selection bias. A survey of 250 FFS‐graduated farmers and 250 non‐FFS farmers were purposively randomly selected from the overall community of farmers. Focus group discussion was used to support the survey. The results indicate that FFS were successful for enhancing farmers’ capability in vegetable farming. Farmers who participated in FFS have higher productivity than those who did not. Farmers also could adapt and adopt the knowledge gained from FFS as they underwent a process of learning by doing. The impacts of the increase in farmers’ capacity can be more evident if weaknesses during the FFS preparation and implementation can be overcome, to ensure more participation, flexibility to fit different conditions/needs and continuous learning.     

我国对大湄公河次区域国家投资与贸易环境影响的估算研究

本文运用改进的IPCC延伸法,将资源环境要素引入投资与贸易核算,将经济价值量引入排放因子,将CO2排放量作为环境影响的一个指标,从国家层面估算投资贸易的环境影响。结果表明:我国对大湄公河次区域国家投资与贸易带来的环境影响,总体利好,各国有差异。     

概率分析法在污水海洋排放近区模拟中的应用

污水海洋排放时需要分析排放口近区的羽流几何特性和稀释特性,概率分析法是其中重要的方法之一．本文阐述了概率分析法的基本原理,通过实例演示了概率分析法应用于污水海洋排放近区模拟分析的过程． 根据概率分析法所提供的结果,总结了概率分析法的优点,即提供了排放口近区的全面信息,由此可以进行后续工作,如远区模拟和风险评估;结合实例, 指出了应用概率分析法的局限,它对输入信息量和计算速度（ 计算工作量） 的要求较高;随计算机运算速度的提高和自动监测技术的发展,应用概率分析法的这一局限可以克服,因此,概率分析法具有广阔的应用前景．     

Discovery of emerging organic pollutants in the atmosphere through an omics approach

● We review the framework of discovering emerging pollutants through an omics approach. ● High-resolution MS can digitalize atmospheric samples to full-component data. ● Chemical features and databases can help to translate untargeted data to compounds. ● Biological effect-directed untargeted analyses consider both existence and toxicity. Ambient air pollution, containing numerous known and hitherto unknown compounds, is a major risk factor for public health. The discovery of harmful components is the prerequisite for pollution control; however, this raises a great challenge on recognizing previously unknown species. Here we systematically review the analytical techniques on air pollution in the framework of an omics approach, with a brief introduction on sample preparation and analysis, and in more detail, compounds prioritization and identification. Through high-resolution mass spectrometry (HRMS, typically coupled with chromatography), the complicated environmental matrix can be digitalized into “full-component” data. A key step to discover emerging compounds is the prioritization of compounds from massive data. Chemical fingerprints, suspect lists and biological effects are the most vital untargeted strategies for comprehensively screening critical and hazardous substances. Afterward, compressed data of compounds can be identified at various confidence levels according to exact mass and the derived molecular formula, MS libraries, and authentic standards. Such an omics approach on full-component data provides a paradigm for discovering emerging air pollutants; nonetheless, new technological advancements of instruments and databases are warranted for further tracking the environmental behaviors, hence to evaluate the health risk of key pollutants.     

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.     

辽宁省港口邻近区域海运废气排放测算

为准确测算沿海地区船舶废气排放量,基于试验数据确定了NO_x、CO、HC和CO₂排放因子;结合文献资料和海事局进出港船舶签证数据,采用基于船舶活动过程的方法测算了2014年辽宁省港口邻近区域〔距港口减速区外边界25 n mile(1 n mile=1 852 m)以外的边界线与港口陆地岸线所围成的区域〕海运废气排放清单. 结果表明:2014年辽宁省港口邻近区域海运NO_x、CO、HC、CO₂、SO₂和PM(颗粒物)的排放量分别为11 827.1、971.4、399.6、1 097 426.5、11 654.1和959.2 t;散货船、集装箱船和油船3种主要类型船舶的NO_x、CO、HC、CO₂、SO₂和PM的分担率之和分别为74.7%、77.8%、70.8%、68.0%、70.9%和70.6%;主机NO_x、CO、HC、CO₂、SO₂和PM的分担率最大,分别为63.7%、63.0%、46.0%、40.4%、46.4%和45.3%;停泊工况下的NO_x、CO、HC、CO₂、SO₂和PM排放量分别为3 318.3、281.7、168.3、520 194.9、4 894.0和411.5 t. 船舶降速运行、减少停港时间、燃用低硫油和向船舶供应岸电等措施能降低港口邻近区域海运废气排放. 基础数据缺乏或数据代表性不足给废气排放清单带来了一定的不确定性.      

Exploration of spatial morphometry and socioeconomic variables in modelling urban land use change

The incorporation of land use (LU) data with socioeconomic data is a main issue in modelling. This is as a result of difference in data model and scale. This study proposed and tested the change–pattern approach, which allows the incorporation of these data sets in modelling LU change. Focusing on LU dynamics for a selected part of the Thames Gateway within the City of London, the approach tested two different methods of input selection for the modelling operations. Variables selected from these two methods serve as inputs into several neural networks tested in order to identify the direction of change for each of the LU types within the study area. The result shows that direction of LU change across the study area could be identified when spatial morphology of the area and socioeconomic variables are considered. Some classes of change could be identified fairly accurately using landscape metrics indicating level of fragmentation, extent of LU patches, shape complexity of LU patches in combination with some socioeconomic variables.     

矿产资源规划环境影响评估方法及实例研究

矿产资源规划环境影响评价有利于矿产资源的可持续利用和矿区的环境保护,随着全国性矿产资源规划、地区性矿产资源规划的制定和实施,探讨适合于矿产资源规划环境影响评价的方法体系显得相当重要.本文从矿产资源的特点出发,结合实例研究,构建了由可持续目标和环境目标设立法、专家评判法、矩阵法、强度分析法和GIS技术方法等组成的矿产资源规划环境影响评价方法体系,定量地评价了矿区环境的现状和规划引起的环境变化,为我国矿产资源规划环境影响评估提供借鉴.