煤层瓦斯含量测定定点取样方法研究进展

基于文献调研及前期研究,分析了目前煤矿井下煤层瓦斯含量直接测定时所采用定点取样方法及其弊端,阐述了学者们提出的改进型定点取样方法,并对煤层瓦斯含量测定定点取样方法的研究进行了展望,指出:①取样过程瓦斯损失量小、取样时升温低、机械复杂度低是基于煤芯管法定点取样方法的发展方向;②开展煤储层条件下的瓦斯运移规律研究,建立并完善各种基于煤芯管法的定点取样方法的瓦斯损失量模型;③适用于松软煤层的定点取样方法的研发亟待开展;④基于负压气力输送理论的定点取样方法是定点取样方法研究的趋势,动态颗粒煤变负压瓦斯解吸规律是建立对应瓦斯损失量模型的基础研究。     

基于小波神经网络的地下水流数值模拟模型的替代模型研究

以吉林西部为研究区,建立地下水流数值模拟模型,分别应用蒙特卡罗方法和拉丁超立方方法在研究区10个县(市)开采量的可行范围内进行采样,经对比选择拉丁超立方抽样结果得到输入(开采量)—输出(水位降深)数据集,建立小波神经网络模型作为地下水流数值模拟模型的替代模型,而后对替代模型有效性作误差分析,并与多元非线性回归替代模型进行对比.结果显示,2种替代模型在功能上都能逼近地下水流数值模拟模型,但小波神经网络模型得到的水位降深均值和水位降深剩余标准差与模拟模型计算结果的相对误差分别低于多元非线性回归模型76%和45%,说明小波神经网络模型更适合作为地下水流数值模拟模型的替代模型,这为减少优化模型求解过程中直接调用模拟模型所造成的计算负荷提供了一种有效的替代方法.     

利用POCIS技术监测城市地表水中全氟化合物

采用一种针对水体中全氟化合物的改进的极性有机化合物整合采样技术(POCIS)进行了不同水流速度下污染物的吸附动力学,以及水流速度对全氟化合物在该采样器上采样速率的影响研究.结果表明,在不同水流速度下7种全氟化合物在放置时间10d内呈线性关系.POCIS对全氟化合物的采样速率随着水流速度(0.085~0.0018m/s)的降低而减小,但是对个别物质如全氟十一酸的采样速率无明显影响.将所建立的POCIS采样方法应用于南京市地表水中,并与常规的主动监测方法进行比较,发现利用POCIS采样技术推算出的污染物时间权重浓度和两次主动采样测定浓度基本一致.     

洋河-戴河河口海域COD时空分布特征研究

首先应用MIKE 21软件建立了洋河-戴河河口海岸水域水动力与污染物输运数学模型,然后采用实测潮流和化学需氧量(COD)浓度对数学模型进行了验证,最后模拟分析了河口海岸水域COD的输运过程.结果表明,洋河-戴河近岸海域潮波为驻波;潮流为顺岸往复流,涨潮流方向为NE向SW,落潮流方向为SW向NE.涨、落急时刻,河口至外海水域潮流流速递增.COD输运方向与涨落潮潮流方向一致.涨憩时刻,COD高浓度区向河道推进,其面积最小;落憩时刻,COD高浓度区向外海推进,其面积最大;葡萄岛周围潮流流速低,在潮周期内小于0.14m/s,对COD的稀释作用较弱.     

Effects of site-selection bias on estimates of biodiversity change

Estimates of biodiversity change are essential for the management and conservation of ecosystems. Accurate estimates rely on selecting representative sites, but monitoring often focuses on sites of special interest. How such site-selection biases influence estimates of biodiversity change is largely unknown. Site-selection bias potentially occurs across four major sources of biodiversity data, decreasing in likelihood from citizen science, museums, national park monitoring, and academic research. We defined site-selection bias as a preference for sites that are either densely populated (i.e., abundance bias) or species rich (i.e., richness bias). We simulated biodiversity change in a virtual landscape and tracked the observed biodiversity at a sampled site. The site was selected either randomly or with a site-selection bias. We used a simple spatially resolved, individual-based model to predict the movement or dispersal of individuals in and out of the chosen sampling site. Site-selection bias exaggerated estimates of biodiversity loss in sites selected with a bias by on average 300–400% compared with randomly selected sites. Based on our simulations, site-selection bias resulted in positive trends being estimated as negative trends: richness increase was estimated as 0.1 in randomly selected sites, whereas sites selected with a bias showed a richness change of −0.1 to −0.2 on average. Thus, site-selection bias may falsely indicate decreases in biodiversity. We varied sampling design and characteristics of the species and found that site-selection biases were strongest in short time series, for small grains, organisms with low dispersal ability, large regional species pools, and strong spatial aggregation. Based on these findings, to minimize site-selection bias, we recommend use of systematic site-selection schemes; maximizing sampling area; calculating biodiversity measures cumulatively across plots; and use of biodiversity measures that are less sensitive to rare species, such as the effective number of species. Awareness of the potential impact of site-selection bias is needed for biodiversity monitoring, the design of new studies on biodiversity change, and the interpretation of existing data.     

民用燃料燃烧排放PM2.5和PM10中碳组分排放因子对比

在实验室中模拟民用燃料在家庭炉灶中的燃烧,应用稀释通道系统采集颗粒物,获得玉米秸秆、薪柴、蜂窝煤和块煤四种常用民用燃料燃烧排放PM10,PM2.5及载带碳组分的排放因子.结果表明,民用燃料燃烧排放的颗粒物以细颗粒为主, PM2.5占PM10的70%~90%.颗粒物排放因子最大的为块煤,其PM2.5和PM10的排放因子分别为9.837和11.929g/kg,分别是蜂窝煤的12.6和13.7倍;玉米秸秆和薪柴PM2.5和PM10的排放因子稍低于块煤,为7.359~10.444g/kg.4种燃料燃烧OC排放因子块煤最高,其在PM2.5和PM10中分别为5.29和5.19g/kg.薪柴燃烧EC的排放因子最高,其在PM2.5和PM10 中的排放因子分别为1.065和1.126g/kg.块煤两种粒径上EC的排放因子略低于薪柴.蜂窝煤EC的排放因子最低,比薪柴低300倍左右,玉米秸秆EC的排放因子也要比薪柴低10倍左右.碳组分是块煤,秸秆,薪柴排放颗粒物的主要成分,其含量在40%~60%之间,该值比蜂窝煤高3倍.四种燃料对应的OC/EC比值差异很大,薪柴和块煤燃烧排放颗粒该值为3~6,秸秆和蜂窝煤燃烧排放颗粒其值高达30~50.     

罐采样与气相色谱/质谱结合在VOCs监测中的应用

气态挥发性有机物(VOCs)引起的污染严重威胁人们的健康,因而对其监测技术的研究也越来越多。其中罐采样与气相色谱/质谱联用的检测技术在VOCs气态污染物测定中的应用逐步受到关注。对罐采样技术进行了综述,重点介绍了罐采样与气相色谱/质谱联用技术在环境空气、室内空气、废气中VOCs检测的应用。     

Employment of passive sampling in monitoring indoor air quality in selected residences in a Tri-city area in Poland

Time-weighted average concentrations of selected volatile compounds were measured in chosen residences in a Tri-City area of Poland by means of passive sampling. The results were compared to those obtained by dynamic technique – sorption tubes filled with Tenax TA sorbent. Results obtained by employing the two techniques were similar. Total volatile organic compound (TVOC) parameters were also determined. An attempt was also made to evaluate the influence of outdoor air pollutants on indoor air quality.     

Measurement of watershed phosphorus: A review

Eutrophication control programs are based on phosphorus management which, in turn, requires a detailed quantification of the watershed phosphorus budget. This involves an assessment of non‐point sources of phosphorus, a key element of which is determining the fraction of soil‐P and sediment‐P available to support algal growth. This paper presents a review of the state‐of‐the‐art of estimating algal available‐P from non‐point sources, and an analysis of pertinent data. The need to employ multi‐interval algal bioassays in developing phosphorus management systems is stressed.     

Wastewater management for hazardous chemicals ‐ disposal of ammonium perchlorate wastes from propellant production for space vehicles

An attempt to depict the wastewater treatment system for the production of ammonium perchlorate, a component of solid propellant used in space vehicles, has been made. The waste‐water management system uses solar ponds and seawater dilution for the retention and disposal of the undesirable constituents of the wastewater. The details of the wastewater generation and its treatment are highlighted in this paper.