便携式分光光度计法快速测定水中砷方法研究

通过研究各仪器性能指标以及测定实际水质样品,对3种便携式分光光度计快速测定水中砷的方法进行了优化和比对研究。结果表明,ZZW-Ⅱ测试仪快速测定水中砷的方法检出限(0.2 mg/L)高于JH 916检测仪和PORS-15 V光谱仪的方法检出限(0.008和0.009 mg/L),在突发性环境污染事故应急监测中,JH 916检测仪和PORS-15 V光谱仪具有相对较高的灵敏度。ZZW-Ⅱ测试仪和JH 916检测仪快速测定水中砷的方法精密度相近,其测定结果相对标准偏差均未超过5.7%(n=6),PORS-15 V光谱仪快速测定水中砷的方法精密度稍差,其相对标准偏差最大值为17%。测定实际样品时,加标回收率分别为110%~126%(ZZW-Ⅱ测试仪),63%~108%(PORS-15 V光谱仪),78%~101%(JH 916检测仪)。3种便携式分光光度计与实验室分析方法相比,测定结果精密度均存在显著性差异,测定结果相对偏差亦较大,相对偏差最大值分别为-19.0%(ZZW-Ⅱ测试仪),17.0%(PORS-15 V光谱仪),-15.0%(JH 916检测仪)。     

全二维气相色谱-飞行时间质谱法分离复杂体系中7种指示剂 多氯联苯

采用全二维气相色谱-飞行时间质谱法(GC×GC TOF-MS)分析了混标样品Aroclor 1260、Aroclor 1254、Aroclor 1242中的多氯联苯(PCBs)单体,考察了在复杂体系下对7种PCBs指示剂的分离能力。结果表明,与优化柱系统的分离效果相比,136种单体的混标样品中共分离出121种单体,7种指示剂经一维和二维的保留时间及质谱定性,在121种单体的2D斑点图中清晰可辨。全二维对于复杂体系的PCBs和指示剂的分离表明其强大的分离能力和对于检测复杂体系中指示剂的分辨能力,对该类物质的定性和定量检测具有重要意义。     

电解铝企业阳极残渣、阳极残极浸出毒性鉴别及管理建议

对电解铝企业产生的阳极残渣、阳极残极浸出毒性进行了鉴别。鉴别结果表明：电解铝企业产生阳极残渣浸出液中氟化物（不含氟化钙）平均质量浓度为140 mg／L,最高达244 mg／L,且超标试样数达到《危险废物鉴别标准浸出毒性鉴别》中相应规定,鉴别该废物属于危险废物,应按照危险废物进行管理;阳极残极浸出液中氟化物（不含氟化钙）平均质量浓度为74 mg／L,无超标试样数,该废物不属于具有氟化物浸出毒性的固体废物,建议仍按一般固体废物进行管理。     

大数据解析技术在大气环境监测中的应用研究

针对近年来新兴的大数据及挖掘、分析技术,对大数据解析技术在环境科学研究中的应用进行了分析和探析。以城市局部地区大气细颗粒污染物PM2.5浓度计算为例,筛选了PM2.5浓度历史数据、气象条件、交通状况、人群活动情况、网格道路状况等数据为影响特征量,分析了用神经网络法进行大数据解析和推演的原理和数学过程,是用数学、计算机、统计等方法研究解决多元、非线性复杂环境问题的一种新的探索。     

Vegetation NDVI Linked to Temperature and Precipitation in the Upper Catchments of Yellow River

Vegetation in the upper catchment of Yellow River is critical for the ecological stability of the whole watershed. The dominant vegetation cover types in this region are grassland and forest, which can strongly influence the eco-environmental status of the whole watershed. The normalized difference vegetation index (NDVI) for grassland and forest has been calculated and its daily correlation models were deduced by Moderate Resolution Imaging Spectroradiometer products on 12 dates in 2000, 2003, and 2006. The responses of the NDVI values with the inter-annual grassland and forest to three climatic indices (i.e., yearly precipitation and highest and lowest temperature) were analyzed showing that, except for the lowest temperature, the yearly precipitation and highest temperature had close correlations with the NDVI values of the two vegetation communities. The value of correlation coefficients ranged from 0.815 to 0.951 (p?<?0.01). Furthermore, the interactions of NDVI values of vegetation with the climatic indicators at monthly interval were analyzed. The NDVI of vegetation and three climatic indices had strong positive correlations (larger than 0.733, p?<?0.01). The monthly correlations also provided the threshold values for the three climatic indictors, to be used for simulating vegetation growth grassland under different climate features, which is essential for the assessment of the vegetation growth and for regional environmental management.     

Technological innovation paths toward green industry in China

With the environmental carrying capacity reaching its limits and the decreasing margin benefits of traditional production factors, the green transformation and green development through technological innovations has been a major direction for the future development of Chinese industries. However, the characteristics and heterogeneities of various types of industries call for different approaches regarding technological innovations. How to choose the most effective mode of technological innovation according to the characteristics of a certain industry has been a key issue. This paper measures the green total factor productivity of 32 industrial trades using the Slacks Based Measure(SBM)-DDF method. The effects of three innovation modes in the green transformation of industrial industry, including the independent innovation(Ⅱ), the technology introduction(TI), and the government support(GS), are empirically analyzed based on industry heterogeneity. Results indicate that the green total factor productivities of different industries show significant differences if taking into account the energy input and the undesirable output of pollutant emissions. The green total factor productivities of traditional high input,high pollution, and high energy consumption industrial trades were significantly lower than those with obvious green features. The year of 2009 is a leap year for the industrial green transformation in China. For resource-intensive industries, the II and the GS are the important ways to achieve green transformation. For labor-intensive industries, the TI is the best path to achieve green transformation, while for technology-intensive industries, the II is the primary driving force for the promotion of green developments. In addition, the innovation-compensating effect of the current Chinese environmental regulations to the resource-intensive industries has been revealed. Improving the overall scale and the industrial concentration of the industries is also beneficial for the green transformation of the industries.     

“十二五”时期中国碳排放强度累积目标完成率分析

以中国大陆30个省市(自治区)为例,以2010年为基准年,在ESTDA的框架下,运用ESDA、LISA时间路径和LISA时空跃迁等方法分析了2011~2015年碳排放强度累积目标完成率的时空动态特征,同时,利用空间误差模型和地理加权回归模型分析了中国省域碳排放强度累积目标完成率的影响因素。结果表明：（1)中国省域碳排放强度累积目标完成率存在显著的空间差异性和空间自相关性;(2）东部地区具有相对稳定的局部空间结构;在空间依赖方向上,北京稳定性最强,新疆波动性最大;(3）中国省域碳排放强度累积目标完成率空间格局演化的整合性较弱,稳定性较强,协同高增长省域主要分布在中西部地区,协同低增长省域主要分布在东部地区;（4)影响中国省域碳排放强度累积目标完成率的重要因素是产业结构、能源强度、能源自给度和能源消费结构。 关键词： 碳排放强度累积目标完成率;时空动态;LISA时间路径;LISA时空跃迁;地理加权回归模型     

城市湿地损失和内涝灾害响应的遥感分析——以武汉市南湖为例

随着快速的城市化,城市湿地不断转化成建设用地,这打破了城市水量循环的均衡,城市内涝灾害的敏感性和危害性随之提高。选取城市快速扩张的武汉市南湖地区,基于1988～2015年近30 a南湖湿地多时相遥感影像,以武汉市南湖2016年7月内涝灾害为对象,运用遥感和GIS手段,分析南湖湿地损失过程、驱动因素以及城市涝灾害的响应情况。结果表明：（1）1988~2015年间南湖湿地持续损失,累计消减1 563 hm2;南湖湿地损失经历了快速损失（1988~1996）急剧损失（1996~2004）缓慢损失（1996~2010）相对静止（2010~2015）的4个阶段,每个阶段南湖湿地转化为建设用地量分别为35.3、135、30、5.4 hm2;损失过程从南湖湿地北部开始,逐渐向南部蔓延;（2）环湖地区房地产发展是湖泊湿地损失的主要原因,52%的损失湿地转换为住宅用地;（3）85.7%的内涝灾害区域位于原湖泊湿地内;南湖地区海拔较低,随着住宅用地以及其他建设用地对湖泊湿地的侵占,南湖地区不透水面面积增加,湿地蓄水排水能力下降,在降雨量较多的时段,原湖泊湿地区域更容易受到内涝侵袭。 关键词： 城市湿地; 湿地损失; 内涝灾害; 武汉市南湖     

金属冶炼进口物料的固体废物鉴别方法

建立了金属冶炼进口物料的固体废物鉴别方法,并利用该方法对海关查扣的3种金属冶炼进口物料进行了固体废物鉴别。鉴别结果显示:物料1、2和3的自然属性分别为砷含量超标铜精矿、锰阳极泥、回转窑氧化锌,产生来源分别为有害物质超标的产品、污染控制设施产生的物质、有意识加工的目标产物;物料1和2属于我国禁止进口的固体废物,物料3不属于固体废物。本文建立的固体废物鉴别方法可行,可为金属冶炼进口物料的固体废物鉴别和监管提供参考。     

禾草灵对水稻生长和典型土壤酶活性的影响

禾草灵是一种广泛使用的除草剂,在土壤中大量残留,对非靶标生物产生危害。为探究除草剂对环境生物的毒性作用,本研究模拟水稻自然生长的环境,评估禾草灵对水稻及土壤微生物的影响。研究结果表明,低浓度禾草灵(200 μg L^-1)处理4 d对土壤微生物量没有显著影响(P>0.05);8 d时,水稻生长没有明显变化,但土壤微生物量较对照组显著升高(P<0.05)。高浓度禾草灵(1 000 μg L^-1)处理4天后,土壤脲酶、酸性磷酸酶和过氧化氢酶的活性显著下降(P<0.05),下降幅度分别为8.9%,16.6%和10.2%;处理8 d后,水稻幼苗鲜重显著降低(P>0.05),叶绿素a和叶绿素b含量分别下降了13.5%和13.3%。本研究证实高浓度的禾草灵残留会对植物和土壤微生物产生不良的影响。