大亚湾海域4种常见危化品对发光细菌的生物毒性研究

采用发光细菌法对大亚湾海域海水进行生物急性毒性实验,掌握大亚湾海域海水水质情况,并对大亚湾海域海水进行4种危化品生物急性毒性实验。结果显示,7月和11月大亚湾海域各站位海水对发光细菌的抑制率均小于30%,为低度毒性风险。4种危化品生物急性毒性实验结果显示,甲醛对发光细菌的半抑制浓度IC₅₀为8.609 mg/L,甲醇对发光细菌的IC₅₀为0.048 mg/L,甲苯对发光细菌的IC₅₀为0.002 mg/L,苯酚对发光细菌的IC₅₀为43.484 mg/L,4种危化品对发光细菌的IC₅₀为甲苯<甲醇<甲醛<苯酚。     

高海拔水电水库温室气体的排放特征——以雅鲁藏布江藏木水库为例

水电水库是大气温室气体的重要来源,在一定程度上影响着区域气候变化.然而目前关于水库温室气体排放的估算仍然存在很大的不确定性,一方面原因是缺失了世界各地山区水库的数据,另一方面原因是未将受水库影响的上下游河道考虑在内.本研究重点关注雅鲁藏布江流域水电水库——藏木水库丰枯水期CO2、CH4和N2O的溶存浓度与扩散通量的时空...     

基于BAT-OOPN理论的煤电机组超低排放限值研究

应用由经典Petri网发展而来的面向对象Petri网的理论和方法,将Petri网移植引入绥电超低排放(BAT)工艺中,对绥电超低排放(BAT)数值模拟进行研究。结果表明,在置信水平为99%时,颗粒物、SO2、NOx的浓度正态分布均值置信区间为颗粒物(4.0,4.9),SO2(10.9,14.2),NOx(35.1,39.1);最佳排放质量浓度为:颗粒物1.7 mg/m^3,SO22.0 mg/m^3,NOx19.8 mg/m^3;最差排放质量浓度为:颗粒物7.5 mg/m^3,SO231.0 mg/m^3,NOx47.9 mg/m^3。根据最佳排放浓度指出污染物削减潜力以及绥电减排的空间,可以根据最差排放浓度进行污染源预警;依据仿真结果并结合现有的排放标准,拟定燃煤电厂超低排放限值为颗粒物5.0mg/m^3,SO215 mg/m^3,NOx40 mg/m^3。     

长江流域鄂西四河流大型底栖动物群落结构特征及水质生物学评价

鄂西水系是国家级水源保护区,也是湖北省重要的生态旅游区。为了解鄂西水生态健康状况,于2014年10月~2017年1月不同时段在宜昌国家可持续发展实验示范区卷桥河（J）、清江利川段（Q）、宜昌市水源地黄柏河（H）和丹江口入库河流天河郧西段（T）开展了底栖动物群落特征研究。研究表明：4个河段共采集到大型底栖动物5门8纲18目61科。基于底栖动物指示种耐污性及其丰度占比分析,表明J、Q和T三河流污染程度沿水流方向呈加重趋势,而H水体健康状况整体较好。运用FBI和SIGNAL底栖生物评价指数,显示四条河流健康程度沿水流方向均呈下降趋势,但H变化趋势平缓,结果表明H水体上下游均处于较健康状态,其他3条河流上游或源头水体健康状况良好,下游受到较重污染。对主要环境因子（TP、NH₃-N、COD_Mn和TN）做主成分分析表明,轴1的解释率达到65.1%,表明轴1可以有效表征主要环境压力梯度。FBI和SIGNAL指数与轴1线性拟合度均较高,表明二者在鄂西河流水生态健康评估中可作为快速生物评价指数。     

安徽省用水网络管理与关键区域界定

基于2005~2016年安徽省16个城市的用水量数据,利用社会网络分析（SNA）方法刻画了区域用水空间关联的网络结构特征,并进一步对水资源管理重点区域进行了筛选。研究发现：安徽省域内的用水联系紧密,不存在孤立的城市节点,样本考察期内,区域用水空间关联的网络密度有所下降,但呈现为等级森严的网络结构;个体网络特征表现出明显的“极化效应”和“马太效应”,合肥、马鞍山和芜湖具有较高的度数中心度、中间中心度和接近中心度,处于网络中的核心位置,主导着关联网络中水资源的流动和溢出;目前安徽省区域用水网络处于多核心阶段,且由初期的合肥和马鞍山-芜湖-铜陵双核驱动模式逐步演变成以阜阳、合肥和马鞍山-芜湖-铜陵为三大增长极的空间稳定格局。     

Does underweight amplify the relationship between short-term particulate matter exposure and blood pressure in children and adolescents: a large cross-sectional study in a metropolis of China

Environmental Science and Pollution Research - Overweight/obesity modified the effects of ambient particulate matter (PM) exposure on blood pressure (BP). This study aims to assess whether...     

Laccase production by Phomopsis liquidambari B3 cultured with food waste and wheat straw as the main nitrogen and carbon sources

Food waste is the most difficult waste to manage because of the high treatment costs and the risk of environmental contamination. Wheat straw burning has become an increasingly discussed topic in recent years because of the air pollution it causes. However, food waste and wheat straw contain high amounts of nutrient elements; efficient utilization of these wastes can improve the environment by lessening airborne pollutant emission and the amount of waste that must be landfilled. It is well known that use of low-cost and abundant waste materials in microbial fermentations can reduce product costs. We aimed to use these resources while improving laccase production by the endophytic fungus Phomopsis liquidambari B3. We cultured P. liquidambari B3 in medium containing food waste and wheat straw as the main nitrogen and carbon sources, respectively. We optimized the fermentation conditions by response surface methodology (RSM), using a Box–Behnken design for RSM I and a central composite design for RSM II. Optimization resulted in an 11.07-fold (1.98-fold RSM I; 5.59-fold RSM II) increase in laccase yield compared with that before optimization. The model was validated by mathematical evaluations and by comparisons between predicted and experimental values. Under optimized conditions, 53.76% of lignin in wheat straw was degraded. By optimizing fermentation conditions and using multiple bioresources, laccase production by this fungus was increased. These results provide the foundation for future research and for scaled-up laccase production.

Implications:Food waste and wheat straw are waste products, but they could be bioresources if they were managed properly. In this work, we innovatively used a mixture of food waste and wheat straw as a substrate for the novel strain Phomopsis liquidambari B3 to produce laccase. This process, which provided the foundation for the subsequent research and for scaled-up laccase production, offers solutions for both rural and urban pollution problems: that is, it reduces the amount of waste material that needs to be disposed of by burning or dumping, and it also produces a valuable product.     

Identifying influencing factors on paved roads silt loading

The factors that influence the increase or decrease of silt loadings on paved roadways have not been fully quantitatively investigated. They were identified in this study based on the quarterly silt loading sampling data collected from 20 sites by the Clark County Department of Air Quality and Environmental Management in Southern Nevada for the period from 2000 to 2003. The silt loading and associated data collected over these years at one sampling site may inherently possess site-specific characteristics that can be better incorporated by using panel data models. The factors that are identified as significant are the presence of curbs and gutters, shoulder type, pavement conditions, and the presence of construction activities in the vicinity of roadways. The presence of curbs and gutters, stabilized shoulders, and good pavement conditions would result in decreased silt loadings. Conversely, the presence of construction activities within the immediate vicinity of sampled areas would result in increases of silt loadings on the roadway surfaces. Based on the analysis of the results, it was recommended that constructing curbs, gutters and stabilized shoulders, preventing or reducing construction track-out from construction activity, and improving pavement conditions be the preferred control measures to reduce silt loading on paved roadways.     

利用悬浮填料附着生物膜同步去除碳氮磷

采用移动床生物膜反应器（MBBR）处理配制模拟废水,实验结果表明,水力停留时间为6h、悬浮填料填充率为40％时,在不同C／N／P比率条件下,MBBR对COD、NH4＋-N和TN去除性能好且稳定,平均去除率分别达到90％、94．8％和62．39％以上,而TP的去除率受C／N／P值影响较大,当C／N／P的比值为100／10／1．8时,平均去除率达到58．03％。一定的溶解氧（DO）质量浓度能保证反应器中COD、NH4-N高效稳定的去除,同时是TN和TP同时去除的重要影响因素,在MBBR中最佳DO值约为3mg／L。由于附着在悬浮填料生物膜内部存在厌氧、缺氧微环境条件,在反应器中存在少量的反硝化聚磷菌。     

Quality Assured Measurements of Animal Building Emissions: Gas Concentrations

Abstract

Comprehensive field studies were initiated in 2002 to measure emissions of ammonia (NH₃), hydrogen sulfide (H₂S), carbon dioxide (CO₂), methane (CH₄), nonmethane hydrocarbons (NMHC), particulate matter <10 µm in diameter, and total suspended particulate from swine and poultry production buildings in the United States.

This paper focuses on the quasicontinuous gas concentration measurement at multiple locations among paired barns in seven states. Documented principles, used in air pollution monitoring at industrial sources, were applied in developing quality assurance (QA) project plans for these studies. Air was sampled from multiple locations with each gas analyzed with one high quality commercial gas analyzer that was located in an environmentally controlled on-farm instrument shelter. A nominal 4 L/min gas sampling system was designed and constructed with Teflon wetted surfaces, bypass pumping, and sample line flow and pressure sensors. Three-way solenoids were used to automatically switch between multiple gas sampling lines with ≥10 min sampling intervals. Inside and outside gas sampling probes were between 10 and 115 m away from the analyzers. Analyzers used chemiluminescence, fluorescence, photoacoustic infrared, and photoionization detectors for NH₃, H₂S, CO₂, CH₄, and NMHC, respectively. Data were collected using personal computer-based data acquisition hardware and software. This paper discusses the methodology of gas concentration measurements and the unique challenges that livestock barns pose for achieving desired accuracy and precision, data representativeness, comparability and completeness, and instrument calibration and maintenance.