重金属污染沉积物质量评价研究—以太湖为例

以太湖的表层沉积物为研究对象,运用相平衡分配法(EqP)探讨了沉积物中4种重金属(Cu, Pb, Zn, Cd)的沉积物质量基准(CSQC)值;根据美国国家环境保护局(US EPA)基于水生生物对重金属的最终慢性毒理水平的淡水水质基准,制定了太湖4种重金属(Cu, Pb, Zn,和Cd)的沉积物质量基准值分别为145.2,308.72,293.01,0.46mg/kg.以此CSQC为参比值,参考潜在生态危害指数法对各元素赋予不同的权重值,运用综合污染指数法对太湖沉积物重金属的环境质量进行评价,结果显示,2010年8~9月太湖沉积物质量基本为良.这一结果与沉积物重金属总量分析结果一致.     

我国水生生物水质基准推导的物种选择

水生生物水质基准旨在保护水生生物不受水体中化学物质的有害影响,是水质基准体系的重要组成部分.不同区域水生态系统的生物区系不同,导致基准值也会存在差异.在综合研究美国、欧盟、加拿大、荷兰、澳大利亚和新西兰等国家和地区在推导水生生物水质基准的物种选择及其考虑因素的基础上,初步研究我国水生生物水质基准推导的物种选择原则.结果表明:推导我国水生生物水质基准需要选择来自8科的水生生物,分别为鲤科鱼类、硬骨鱼纲中的另一科、两栖动物纲的一科、浮游动物中节肢动物门和轮虫动物门各一科、底栖动物中节肢动物门和环节动物门各一科及一种最敏感的大型水生植物(或浮游植物),可全面代表我国水生态系统不同的营养级和生命形式.      

扎龙湿地龙湖重金属污染情况及其潜在生态风险评价

为了探讨龙湖中重金属污染情况,测定了龙湖中9个取样点的重金属元素含量,并从中选取Mn、Cu、Pb、As 4种重金属元素进行水质评价。通过灰色关联评价分析,所采集的9个样点中有8个样点都属于Ⅴ类水质、1个样点属于Ⅳ水质。采用Hakanson潜在生态风险指数法对龙湖沉积物进行重金属潜在生态风险评价分析,4种重金属的潜在风险顺序为Cu>As>Pb>Mn,其中每个样点的Cu元素都达到了极强的潜在生态危害,As元素的潜在生态危害程度都达到了强度生态危害。     

太湖水体多环芳烃生态风险的空间分布

以太湖梅梁湾、贡湖湾和胥口湾水体多环芳烃(PAHs)含量水平为基础,通过物种敏感度分布曲线计算三湖湾水体PAHs对水生生物的潜在危害比例,以此表征PAHs对太湖三湖湾水体的生态风险,并对其空间分布特征进行讨论.结果表明:PAHs对太湖三湖湾水体的生态风险大小依次是:Flua(1.1641%),Phe(0.2206%),Pyr(0.1633%),BaP(0.0175%),Ant(0.0021%),Flu(0.0005%), Ace(0.0000%),∑7PAH的联合生态风险(3.0954%)大于单体PAHs的生态风险. Ant, BaP和∑7PAH对梅梁湾(0.0209%,0.1237%和4.1018%)的生态风险显著高于贡湖湾(0.0023%,0.0085%,3.0414%)和胥口湾(0.0002%,0.0015%,2.3899%)(P0.05);Flu和Phe对胥口湾(0.0004%,0.1553%)的生态风险显著低于梅梁湾(0.0011%,0.2999%)和贡湖湾(0.0009%,0.2681%)(P0.05);Pyr和Flua对梅梁湾(0.3268%,1.7156%),贡湖湾(0.1697%,1.2386%)和胥口湾(0.1044%,0.8339%)水生生物的生态风险具有显著性差异(P<0.05).空间分布表明:梅梁湾西北部PAHs的生态风险最大,贡湖湾北部次之,胥口湾最小.     

2008年滇池流域水环境承载力评估

自20世纪70年代以来,随着经济迅猛发展以及人口的快速增长,滇池流域的水环境问题日益突出. 为深入了解造成当前水环境问题的根本原因,以水资源承载力和水环境承载力作为广义水环境承载力的基础进行综合分析,并且利用水资源供需平衡和水资源承载压力度反映水资源承载力,利用水环境承载率反映水环境承载力. 结果表明:滇池流域TN和TP的水环境承载率分别为0677和0355,处于超载状态,是导致滇池流域严重富营养化的主要原因;水资源承载压力度为145,远大于供需平衡,同样也处于超载状态,实际水资源盈亏为-59 037×104 m3,缺失严重. 因此,滇池流域水质型和资源型缺水问题共同存在.      

Chemistry of atmospheric dust and critical load assessment in Delhi region (India)

This is the first study in the Delhi region that assesses the critical load capacity of soil systems with respect to the atmospheric deposition and air quality, from July to October in 2012. Trend analysis of NO₂ and SO₂ in Delhi, using the Central Pollution Control Board (CPCB) data, showed interesting patterns matching with the trends in vehicular load in the city. This was followed by the calculation of the critical load of atmospheric acidity for sulphur and nitrogen in order to check the vulnerability of the soil systems in Delhi. Here, the steady state mass balance approach was majorly applied and the study conducted in the Agra region was taken as reference. The calculated values of critical loads of sulphur (225–275?eq/ha/yr) and nitrogen (298–303?eq/ha/yr), for the soil system in Delhi, were calculated with respect to three plant species, namely Anjan grass, Hibiscus and Black siris. The present loads of sulphur (PL(S)?=?26.40?eq/ha/yr) and nitrogen (PL(N)?=?36.51?eq/ha/yr) were found to be much lower than their respective critical loads. From the results, it can be concluded that the present loads of atmospheric acidic deposition in Delhi region do not pose any danger of acidification of soil system because it is countered by buffering capacity of soil generated dust. However, considering the pace at which the city is growing, it is likely that in coming decades, the present load will increase and thus the values evaluated in this study are likely to serve as an important reference for future assessment of the pollution scenario in the city.     

Assessment of heavy metal pollution and health risks in a main river in Huayuan County,Xiangxi, Hunan Province北大核心CSCD

To study heavy metal pollution and assess the health risk of river water in Huayuan County, Xiangxi, Hunan Province, 11 water samples were collected from the Huayuan River and Brother Rivers in August and December 2016. Heavy metal (Pb, Zn, Cr, Cu, Fe, and Ni) concentrations were determined from the samples. The health risk assessment model recommended by the U.S. Environmental Protection Agency (USEPA) was applied to assess the health risk of heavy metals in the main surface waters of Huayuan County. The results indicated that the concentrations of heavy metals (Pb, Zn, Cr, Cu, Fe, and Ni) of surface water in the research area were 2.57 × 10-3, 4.66 × 10-4, 1.65 × 10-3, 6.27 × 10-4, 0.19, and 8.50 × 10-4 mg/L, respectively. The health risk of surface waters with heavy metals was high. Therefore, the chemical carcinogenic substance (Cr) health risk index was five or six times higher than that of chemical non-carcinogens (Pb, Zn, Cu, and Ni). The average health risk indices of non-carcinogenic substances were in the order Pb > Cu > Zn > Ni. The correlation and principal component analysis of surface water showed that the six heavy metal elements were composed of three main components in the main surface waters of the county. The first principal component was comprised of Fe and Ni (33.28%), which was mainly from internal pollution. The second component was comprised of Cu and Cr (26.98%), which was primarily due to industrial waste water, rainwater leaching mineral waste produced by heavy metal mining, and smelting enterprises. The third component, resulting from geochemical pollution, was Zn (17.10%). The health risk indices triggered by heavy metal in surface waters was high. Heavy metal pollutants in the research area need to be controlled in the order Cr, Pb, Cu, Zn and Ni. © 2018 Science Press. All rights reserved.     

基于Box Behnken设计的煤导热系数分析与预测

为研究分析水分、固定碳及密度3个因素对煤导热系数的影响,选取多个矿井不同煤质的煤作为实验煤样,使用NETZSCH LFA457型激光导热系数测试仪进行测定,并引入二次响应曲面试验设计思想,采用Design Expert软件进行煤质指标的Box Behnken试验设计,按设计表筛选实验数据,构建了导热系数多因素、多水平影响下二次回归响应曲面模型,并对不同采样地点的煤导热系数进行了分析与预测。结果表明:二次回归方程P值小于0.000 1,极显著,失拟项为0.072 4,不显著,回归方程具有统计学意义;当水分在0.9%~10.9%,固定碳在49.3%~83.6%,密度在1.2~1.92 g·cm³之间,对煤的导热系数一次项影响程度为密度>固定碳>水分;二次项影响程度为固定碳和密度>水分和密度>水分和固定碳,且固定碳和密度之间存在交互作用,水分和密度、水分和固定碳之间无交互作用;应用响应曲面模型预测的煤导热系数误差为4.3%,满足精度要求。     

大豆传统产区种植结构变化及影响因素的定量化评价——以黑龙江省嫩江县为例

东北地区,特别是黑龙江省是中国传统的大豆产区,其近年的种植结构变化导致国内大豆产量大幅度减少,而进口量持续增加,并已成为全球第一大豆进口国。为探究大豆传统产区种植结构变化现状及主要影响因素,论文以黑龙江省嫩江县为研究区,解译遥感影像分析其种植结构的演变过程,并以农户大豆种植意愿为因变量,对影响因素进行定量化评价。研究结果表明：1）2000年以来,研究区种植结构发生了较大调整,2000-2007年间,第四积温带大豆种植面积大幅度增加;2007-2014年第四、五积温带玉米种植面积大幅度增加,达到17.4×10⁴ hm²,且有继续北扩趋势,而大豆北扩东移,2014年在粮食作物总播种面积中的比重较2000年减少27个百分点;2）目标价格政策对农户大豆种植意愿的影响度最大,达18.89%,其次大豆市场价格和轮作种植的影响度均达18.54%,大豆总投入的影响度为13.82%,其他因素影响度均在10%以下。国产大豆的竞争优势在于“非转基因”和“食用蛋白豆”,国家除了在政策上扶持大豆生产外,更重要的是要鼓励相关企业生产多样化的“非转基因”大豆制品,并严控转基因大豆进入食品领域,使加工企业和豆农获得合理溢价,通过市场机制提高大豆传统产区豆农的生产积极性。     

中国西北旱区农业水土资源利用情景潜力研究

西北旱区水土资源供需矛盾突出,同时作为该区农业生产的瓶颈因素,决定该区经济社会生态可持续发展,因此有必要开展西北旱区农业水土资源相结合的空间情景潜力研究。论文采用水土资源匹配指数计算分析了西北旱区现状年（2010年）农业水土资源的匹配状况,采用农业水土资源利用潜力估算方法计算了西北旱区2020、2030年RCP 8.5和RCP 4.5两种情景下的农业水土资源利用潜力,实现了西北旱区农业水土资源利用潜力的可视化表达。结果表明：2020和2030年RCP 8.5和RCP 4.5排放情景下,相对于2010年,西北旱区各省2020和2030年的总农业水资源量和种植面积均减小。西北旱区6省份2020和2030年两种情景下整体综合效益和整体潜力值均为正,表明各省种植结构整体得到了优化。2020年RCP 8.5和RCP 4.5情景下,西北旱区农业水土资源利用潜力分布范围分别在-0.10×10⁴~0.83×10⁴元/hm²之间和 -1.20×10⁴~0.97×10⁴元/hm²之间;2030年RCP 8.5和RCP 4.5情景下,农业水土资源利用潜力分布范围分别在-0.39×10⁴~2.17×10⁴元/hm²之间和-0.36×10⁴~1.66×10⁴元/hm²之间。