煤炭自燃指标性气体确定的实验研究

矿井火灾是矿井五大灾害之一,煤炭自燃则是矿井火灾最主要的起因。为了了解煤炭氧化、自燃规律,本文采用TG-DSC技术研究了不同煤种在水分蒸发、吸氧增重、受热分解及燃烧等不同氧化阶段的氧化特征值;并采用TG-DSC-GC联用技术研究了不同煤种在整个氧化阶段的气体产物生成规律及其特征。在煤的低温氧化阶段,找出了CO等可作为判别煤自燃的指标性气体及C2H4等辅助指标性气体;并得出了各煤种氧化阶段的耗氧规律。     

松花江沉积物汞的新变化:分布、演化与现状及潜在生态风险评估

分析了第二松花江中下游和松花江干流表层沉积物中总汞的含量水平和分布规律,同期采集了牡丹江、黑龙江沉积物作为对照,并采用地累积指数法以及潜在生态风险指数法,初步评价了松花江沉积物中汞的污染状况和潜在的生态风险.结果表明,松花江10个断面沉积物总汞含量范围0.029~1.317 mg·kg~(-1),均值0.183 mg·kg~(-1).第二松花江3个典型断面沉积物总汞含量均显著高于松花江干流的7个典型断面(P0.05).地累积指数(Igeo)及潜在生态风险指数(Er)表明第二松花江3个典型断面沉积物汞污染程度为偏中度至重度污染,存在高度生态风险;松花江干流7个典型断面为轻度污染,具有较高生态风险.近10年松花江沉积物汞含量变化及空间分布结果显示,现阶段第二松花江沉积物汞含量有所下降,但松花江干流个别江段沉积物汞含量有所上升,应引起重视.     

Assessment of deep aquifer groundwater quality in a geographically unique climatic region of Southern Western Ghats,India using water quality indices

Water quality index (WQI) models are generally used in hydrochemical studies to simplify complex data into single values to reflect the overall quality. In this study, deep groundwater quality in the Chittur and Palakkad Taluks of the Bharathapuzha river basin of Kerala, India, was assessed by employing the WQI method developed by the Canadian Council of Ministers of the Environment (CCME). The assessment of overall water quality is indispensable due to the specific characteristics of the study area, such as geography, climate, over-drafting, and prevalent agricultural practices. Forty representative samples were collected from the study area for monsoon (MON) and pre-monsoon (PRM) seasons. The results showed a general increase of contents from MON to PRM. The major cations were spread in the order Ca²⁺>Na+>Mg²⁺>K⁺ and the anions HCO₃⁻>Cl⁻>CO₃²⁻ based on their relative abundance. Among various parameters analysed, alkalinity and bicarbonate levels during MON were comparatively high, which is indicative of carbonate weathering, and 90% of the samples failed to meet the World Health Organization (WHO, 2017)/Bureau of Indian Standards (BIS, 2012) drinking water guidelines. The CCME WQI analysis revealed that nearly 50% of the samples during each season represented good and excellent categories. The samples in the poor category comprised 10% in MON and 15% in PRM. The overall WQI exhibited 15% of poor category samples as well. The spatial depiction of CCME WQI classes helped to expose zones of degraded quality in the centre to eastward parts. The spatial and temporal variations of CCME WQI classes and different physicochemical attributes indicated the influence of common factors attributing to the deep groundwater quality. The study also revealed inland salinity at Kolluparamba and Peruvamba stations, where agricultural activities were rampant with poor surface water irrigation.     

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.     

绥化市城市生态系统健康状况研究

针对当前城市生态系统健康问题,从自然、经济、社会三个子系统出发,运用数学模型对绥化市城市生态系统的健康水平进行了评价。结果表明,2000年-2004年绥化市生态系统综合健康处于亚健康状态,但有逐年好转的趋势。其中自然子系统的健康水平最好,对综合健康指数贡献值最大,经济和社会子系统健康水平相对较低,对综合健康指数的贡献值相对较小。提高经济和社会子系统的健康水平,使经济、社会和自然三大子系统健康协调发展是提高绥化市城市生态系统健康水平的关键。     

青岛市城市资源、基础设施与其经济社会协调发展的定量评价和分析

在分析青岛市城市资源、基础设施条件与其经济社会发展之间关系的基础上．构建了多层次评价指标体系，对城市资源和基础设施这两大因素与青岛市经济社会发展的协调关系进行定量评价。结果表明,2001—2004年期间，青岛市城市盗源、基础设施与其经济社会各年度的协调发展度均大于0．8。其中,经济社会发展水平呈现持续增长的势头，而城市资源和基础设施的发展水平则呈现出波浪型态势。说明后者的发展尚不够稳定；另外．除了2002年城市资源与基础设施的发展超前于经济社会发展水平外。其余年份都是滞后的。今后要进一步加大对青岛市城市资源与基础设旌开发和建设的力度，以满足城市协调可持续发展的要求。     

东北玉米热量指数预测方法研究(Ⅲ)——GM(1,1)预测方法

GM(1,1)是开展时间序列环境要素变化趋势预测的有效方法之一。通过对东北地区玉米热量指数的分析,建立了热量指数时间变化趋势的GM(1,1)预测模型,各模型的平均预测精度虽低于逐步回归统计模型,但也都达91%以上,可以应用该模型的预测结果指导农业生产。     

中国技术灾害的时序变化与区域差异

近年来,由于生产的全球化、工业水平的迅速提高、技术系统的复杂化和规模化,以及社会结构急剧变化,我国技术灾害的发生频次增多,强度加剧,经济损失趋于上升.技术灾害继自然灾害之后,已逐渐发展为威胁我国人民生命安全和生存环境的主要灾种.基于技术灾害数据库,从致灾因子多度、风险频数、相对损失强度和综合风险指数等4个方面对中国技术灾害的时序变化和区域差异进行了分析与探讨,以期加深对中国技术灾害的系统认识,并为中国技术灾害的风险管理提供依据.     

基于SML指数的环境回弹效应分析：模型与测算

本文通过搭建环境回弹效应理论框架,采用熵权法构造各地区综合环境污染指数,利用Sequential Malmquist-Luenberger指数全要素生产率模型测度技术进步对经济增长的贡献率,定量评估了1999—2017年我国30个省份的环境回弹效应,识别了环境回弹效应时序演变和区域差异,并进一步利用空间分析技术探究环境回弹效应的空间分布特征。研究表明:样本期内各省份环境回弹效应均值集中在-13.23%~29.63%,全国平均环境回弹效应为10.42%,实际减污率仅为65.74%;时序特征上,环境回弹效应与技术进步有部分相关性,但存在滞后作用,经济发展水平和技术溢出效应是主要的异质性来源;空间特征上,环境回弹效应的区域差异显著,但具有空间相关性,地理因素在解释环境回弹效应的影响因素中不容忽视;全局自相关检验表明2006—2011年各省份环境回弹效应呈显著的正自相关,空间集聚特征明显。建议进一步挖掘环境降污空间,加快经济增长与环境污染的脱钩,关注区域协同减排,是改善污染治理的有效措施。     

市政污泥热解过程中重金属迁移特性及环境效应评估

以昆明某市政污泥为原料,研究生物炭制备过程中重金属Fe、Zn、Mn和Ni的迁移特性,并基于其潜在环境风险确定污泥基生物炭制备的最佳热解温度.本实验选择总量较高的4种重金属Fe、Zn、Mn和Ni,采用BCR提取法测定不同热解温度下4种重金属的形态和含量变化,得到各金属的形态分布变化规律和迁移路径,利用潜在生态风险指数（PERI）和风险评估代码（RAC）对污泥基生物炭进行环境风险评估.结果表明,4种金属的易挥发程度排序为Zn > Mn > Fe > Ni,4种金属形态分布情况和变化规律各不相同,但迁移路径具有共通性.在低温热解阶段,不稳定形态向稳定形态转化;随着温度的升高,可氧化态和残渣态逐步分解破碎,部分逸散到大气中,部分形成可还原态.在环境风险评估方面,高温条件（>500℃）下制备的生物炭环境风险较低,500℃制备的生物炭经济性最好.