纳氏试剂分光光度法测定水质氨氮不确定度的评估

本文对采用纳氏试剂分光光度法（HJ535-2009）测定水中氨氮的实验过程可能引入的各不确定分量的来源进行了详细的分析,然后对各分量进行评定,对测定不确定度做出评估。得出影响测定结果的几种重要因素。     

西北地区水窖水质的污染原因及防治措施

文章结合我国西北地区雨水集蓄利用工程水质的基本情况,对典型地区水窖水质的检测数据、结果和污染成因作了分析,并提出了水窖防治水质污染的措施。     

环境地表γ计量率、工频电磁场和射频电场监测实验结果对比分析研究

本文通过两实验室针对环境地表γ计量率、工频电磁场和射频电场仪器对比实验,并对结果进行了统计检验。分析结果表明,两者监测数据无显著差异。     

紫色丘陵区不同弃土弃渣下垫面入渗特征及影响因素

采用环刀法研究了紫色丘陵区不同碎石含量弃土弃渣下垫面的入渗特征及影响因素.结果表明,不同弃土弃渣下垫面入渗性能随碎石含量的增加而差异显著,其中,碎石含量为40%的弃土弃渣下垫面初始入渗率、稳定入渗率及平均入渗率分别是土质弃渣下垫面的1.30、1.13和1.54倍.不同下垫面初始入渗率和稳定入渗率与弃渣初始含水率、容重呈显著负相关,与下垫面总孔隙度、非毛管孔隙度呈显著正相关.其中,初始入渗率与初始含水率相关系数在-0.689~-0.912之间,稳定入渗率与容重相关系数为-0.745~-0.999,且稳定入渗率随非毛管孔隙度增加而显著提高.Horton模型对不同弃土弃渣下垫面入渗率与时间拟合的可决系数在0.899以上,且Horton模型计算入渗率与实测入渗率的相对误差在0.07%~6.60%之间,是紫色丘陵区分析不同弃土弃渣下垫面入渗过程的适宜性模型.研究结果可为紫色丘陵区弃土弃渣水土流失量预测和评价提供技术参数.     

基于物元分析的表层岩溶带“二元”水生态承载力评价

针对目前水生态承载力评价中信息屏蔽和主观性问题,该文以喀斯特典型分布区贵州省为例,在阐述表层岩溶带"二元"水生态承载力概念的基础上,构建表层岩溶带"二元"水生态承载力评价指标体系,结合物元分析法,对贵州省2007—2010年的表层岩溶带"二元"水生态承载力进行定量评价.研究结果表明:2007—2010年贵州省表层岩溶带"二元"水生态承载力等级都为"可承载",整体呈现出比较稳定的发展趋势,但是"可承载"水平并不稳定,不完全符合No2的标准."可承载"水平不稳定.贵州省表层岩溶带"二元"水生态承载力的主要提升因子是地表产流率、输沙模数、森林覆盖率、水资源利用率等8个,而单位面积地表水资源量、生态用水率、工业废水排放达标率、工业固体废物综合利用率以及城镇化率等9个成为制约贵州省表层岩溶带"二元"水生态承载力等级提升的因子.贵州省的表层岩溶带"二元"水生态承载力不仅关系到自身的社会、经济和生态安全也关系到下游的长江流域和珠江流域的水资源安全、生态安全以及环境建设.因此,应制定区域生态补偿措施,经济发达地区反哺经济落后地区,形成联动的共同保护生态环境脆弱区的水生态承载力的机制.为促进贵州省的水土资源开发利用和生态环境建设提供理论借鉴,并为类似地区的水生态承载力评价提供了一种新方法.     

旅游和区域大气污染对四川九寨沟气溶胶的贡献

2010年4月~2011年4月,在九寨沟连续监测了总悬浮颗粒物(TSP)和水溶性无机离子的浓度.结果表明:旅游活动显著增加了空气中TSP、SO42-、Ca2+、K+、NH4+和NO3-的含量,而Na+、Mg2+和Cl-则主要来自自然源;旅游强度最高时期(6~10月),降水对空气的清洗作用最强,气溶胶污染程度为全年最低;旅游强度较低时期(1~3、4~5和11~12月),降水量较低且西北沙尘易在春季抵达九寨沟,所以气溶胶污染程度较高;区域燃煤可能是气溶胶[SO42-]:[NO3-]比值较高的原因;生物质燃烧可能是K+在秋末至次年初春较高的原因之一.九寨沟大气环境已明显受当地旅游活动和污染物长距离传输的影响.     

浑河流域地表水和地下水氮污染特征研究

通过分析浑河流域地表水、地下水中主要离子和不同形态氮含量,探讨了水体中水化学组成特点、各形态氮污染水平与分布特征,并采用综合指数法对流域浅层地下水水质进行了评价.结果表明,地表水水型从上游到下游由Ca-HCO3型转变为Ca-SO4型.NO3--N浓度由1.06mg/L增至6.13mg/L,NO2--N和NH4+-N仅在中游和下游地表水中检出,表明地表水在流域中下游地区受到的人为影响强烈;地下水沿流动方向水型由Ca-HCO3型依次演进为Ca-SO4和Ca-Cl型.NO3--N的含量(0.62~23.47mg/L)明显高于其在地表水中的含量.局地土地利用类型(林地、旱地、城镇用地、水田)对附近地表水体NO3--N浓度影响不显著,而旱地与水田地下水中NO3--N浓度存在显著差异,旱地地下水NO3--N浓度最高.浅层地下水质量评价结果显示流域浅层地下水总体质量一般,NO3--N超出背景值1.4倍,中游地区NO2--N和NH4+-N污染严重,达到Ⅳ类水标准.地下水中ORP、DO、Cl-浓度和各形态氮组成特征表明由于反硝化作用,中下游地区地下水中NO3--N浓度逐渐降低,而NO2--N浓度上升到0.041mg/L.     

NirS-type denitrifying bacteria in aerobic water layers of two drinking water reservoirs: Insights into the abundance, community diversity and co-existence model

The nirS-type denitrifying bacterial community is the main drivers of the nitrogen loss process in drinking water reservoir ecosystems.The temporal patterns in nirS gene abundance and nirS-type denitrifying bacterial community harbored in aerobic water layers of drinking water reservoirs have not been studied well.In this study,quantitative polymerase chain reaction (qPCR) and Illumina Miseq sequencing were employed to explore the nirS gene abundance and denitrifying bacterial community structur...     

Enhanced activity of ZnS(111) by N/Cu co-doping:Accelerated degradation of organic pollutants under visible light

High-efficiency photocatalysts are of great significance for the application of photocatalytic technology in water treatment.In this study,N/Cu co-doped ZnS nanosphere photocatalys(N/Cu-ZnS) is synthesized by a hydrothermal method for the first time.After doping,the tex ture of nanosphere becomes loose,the nanometer diameter is reduced,making the specific surface area of catalyst increased from 34.73 to 101.59 m²/g.The characterization results show that more ZnS (111) crystal planes a...     

Effectiveness evaluation of water-sprinkling in controlling urban fugitive road dust based on TRAKER method: A case study in Baoding, China

Fugitive road dust (FRD) contributes a great deal to urban rainwater and air pollution and is commonly controlled by water-sprinkling in most Chinese cities. However, there is a lack of information on its effectiveness. We used the Testing Re-entrained Aerosol Kinetic Emissions from Roads (TRAKER) method to monitor different types of roads in Baoding city before and within 1 hr after water-sprinkling and obtained the road dirtiness index (a) and PM concentration in the road environment ($T_{\mathrm{T}}^{*}$), to evaluate the removal efficiency for PM deposited on the road surface (${\eta }_a$) and the reduction efficiency for the PM concentration in the road environment (${\eta }_{\text{PM}}$). The results give that the ${\eta }_a$ for three types of roads is ranked: branch road (87%-–100%) > major arterial road (80%-83%) > minor arterial road (68%-77%), and the ${\eta }_{\text{PM}}$ ranked: minor arterial road (70%) > branch road (46%-58%) > major arterial road (37%-53%). The ${\eta }_a$ and ${\eta }_{\text{PM}}$ varied non-linearly with time and presented a quadratic curve. The average effective control time (${\eta }_{\mathit{a}}$> 0) was 62 min on the major and minor arterial roads, and much longer than 1 hr on branch roads. The ${\eta }_{\text{PM}}$ values diminished completely by 72 min on average from the end of sprinkling for the three types of roads. Water-sprinkling can remove PM₁₀ particles from the road surface and reduce their concentration in the road environment more thoroughly than PM_2.5. Our findings could be helpful for controlling urban FRD emissions more efficiently and precisely.