大管径真空排水技术在雨水泵站中的应用与数值分析

针对传统雨水泵站存在的问题,介绍了大管径真空排水技术在雨水泵站应用中的独特优势及具体实施方法。为研究其排水过程中的流态分布、流体动力学性能,建立了典型管道的数值模型,采用κ-ξ紊流模型及Vof方法,对其进行了非稳态数值模拟,分析了两相流在大管径管道充水过程中的气液流动特性。结果表明:大管径排水过程中存在分层流、气泡流及波浪流,并在弯管附近出现短暂集气现象;液相在倾斜管路中有短暂流速停滞现象,随着压差的推进,最终在管道中形成液相满管流。     

2,3,7,8-Tetrachlorodibenzo-p-dioxin promotes migration ability of primary cultured rat astrocytes via aryl hydrocarbon receptor

Emerging evidence showed that 2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD) could induce expression of certain reactivation-associated genes in astrocytes, however, the consequent cellular effects and molecular mechanisms are still unclear. During the process of astrocyte reactivation, migration is a critical cellular event. In the present study, we employed wound-healing assay and Transwell® motility assay to explore the effects of TCDD on cell migration in primary cultured rat cortical astrocytes. We found that upon TCDD treatments at relative low concentrations (10^? 10 and/or 10^? 9?mol/L), the ability of primary astrocytes to migrate horizontally and vertically was promoted. In line with this cellular effect, the mRNA expression of two pro-migratory genes, including cell division cycle 42 (CDC42) and matrix metalloproteinase 2 (MMP2) was induced by TCDD treatment. Dioxin exerts its toxic effects mainly through aryl hydrocarbon receptor (AhR) pathway. So the role of AhR pathway in the pro-migratory effects of TCDD was examined using an AhR antagonist, CH223191. We found that application of CH223191 significantly reversed the pro-migratory effects of TCDD. Interestingly, the basal ability of horizontal migration as well as basal levels of CDC42 and MMP2 expression were dramatically reduced suggesting a possible physiological role of AhR in maintaining the endogenous migration ability of the primary astrocytes. These findings support the notion that dioxin promotes astrocyte reactivation at molecular and cellular levels.     

Robust Regression with Data-Dependent Regularization Parameters and Autoregressive Temporal Correlations

We introduce robust procedures for analyzing water quality data collected over time. One challenging task in analyzing such data is how to achieve robustness in presence of outliers while maintaining high estimation efficiency so that we can draw valid conclusions and provide useful advices in water management. The robust approach requires specification of a loss function such as the Huber, Tukey’s bisquare and the exponential loss function, and an associated tuning parameter determining the extent of robustness needed. High robustness is at the cost of efficiency loss in parameter loss. To this end, we propose a data-driven method which leads to more efficient parameter estimation. This data-dependent approach allows us to choose a regularization (tuning) parameter that depends on the proportion of “outliers” in the data so that estimation efficiency is maximized. We illustrate the proposed methods using a study on ammonium nitrogen concentrations from two sites in the Huaihe River in China, where the interest is in quantifying the trend in the most recent years while accounting for possible temporal correlations and “irregular” observations in earlier years.     

Roles of digital technology in China's sustainable forestry development

China has the fifth largest forest area in the world and any change in China's forestry development will have inevitable impacts on global ecological sustainability. China has undergone excessive logging of natural forests and also made tremendous efforts in afforestation during the past half century. China's forestry is now going through a variety of transitions and several forestry programs have been implemented to drive forestry transitions. The goal of these actions is to protect ecological services of forests and sustain China's forestry development. These forestry programs are spatially sophisticated and cannot be successfully implemented without accurate and transparent forest/forestry information. A variety of digital technologies, including forest modeling, remote sensing, geographic information systems, global positioning systems, and visualization, have been applied in handling diverse information in China's forestry. Digital forestry is not just a theoretical concept in China. Our digital forestry experience in northeast China suggests that digital technology is both usable and useful in China's forestry development. Digital technology is playing an important interactive role in China's top-down forestry administration system. The analog-to-digital transition in technology is expected to lead to the success of forestry programs and forestry transitions in China.     

Analysis of household energy consumption and related CO2 emissions in the disregarded villages of Lijiang City,China

Energy is one of the most important elements required for poverty alleviation and socioeconomic development, and it has a particularly strong impact on households in rural areas. An extensive survey on household energy consumption patterns that interrelates socioeconomic and demographic factors was conducted in the disregarded villages of Lijiang City by using the stratified random sampling technique for 120 households. This study focuses on household energy consumption and the related carbon dioxide (CO₂) emissions in the study area. Firewood, biogas, and electricity were identified as the main energy sources of the rural households. This study demonstrates that 100% of the households use firewood, 52% use biogas, and 95% use electricity as fuel types. On average, each household consumed 1752 kg of firewood, 280 m³ of biogas, and 392 kWh of electricity annually. All households generated an annual average amount of CO₂ emissions of 3851 kg, of which 85.08% come from firewood, 7.66% from biogas, and 7.26% from electricity. Family size, income, and educational level were found to be the major factors that influence CO₂ emissions. The results of this study may be useful in explaining the energy consumption characteristics in the rural areas of Lijiang City and are expected to be useful in policy formulation for energy consumption and environmental protection.     

Metal removal with two biochars made from municipal organic waste: adsorptive characterization and surface complexation modeling

The adsorptive characteristics of biochar produced from garden green waste (S-char) and a mixture of food waste and garden green waste (FS-char) were investigated. Adsorption of Cu²⁺, Zn²⁺, and Mn²⁺ onto the two biochars reached equilibrium within 48 hours. The metal adsorption was effectively described by the pseudo-second-order kinetic and Freundlich isotherm models which suggest heterogeneous chemisorption. The initial solution pH influenced adsorption of Zn²⁺ and Mn²⁺ but not of Cu²⁺. Simulation via a surface complexation model showed that the fraction of XOCu⁺ adsorbed onto biochar was increased with increasing pH until it reached the adsorption maximum at pH 8.5, while the endpoint for the maximum of XOMn⁺ was higher than pH 12.     

中国饮水型砷中毒区的水化学环境与砷中毒关系

中国各饮水型砷中毒区的水化学特点受沉积环境和气候因素所控制,砷中毒的流行和发病程度与其地下水的水化学环境、水中砷的形态和价态有密切联系。在实地考察监测和对台湾、新疆、内蒙古、山西、吉林饮水型砷中毒病区环境和地下水水化学特征总结的基础上,系统分析了饮水水源中总As、As(III)、甲基胂、腐植酸与砷中毒的关系,揭示了不同病区病情差异的原因。研究表明,除台湾外,各砷中毒区均分布在干旱半干旱区;各病区多分布在沉积盆地中心或平原内相对低洼的地带,饮用的地下水均取自中新生代地层;砷中毒病情不仅与总砷含量有明显的剂量-效应关系,还与As(III)和甲基胂的浓度直接相关。台湾、内蒙古和山西病区地下水为富含有机质的复杂还原环境,水中不仅As(III)含量高,且检出有机物、腐植酸和甲基胂,新疆和吉林病区地下水为以无机砷中As(V)为主的氧化环境,吉林病区未检测出甲基胂,这是新疆与吉林病区患病率较低的主要原因。研究成果可为区域防病改水、砷中毒的预报提供重要技术支撑。     

Effect of soil crust on evaporation and dew deposition in Mu Us sandy land, China

The development of soil crust on sandy land may affect the surface hydrological process. This paper investigates the process of evaporation and dew deposition influenced by different soil surface types which were dominated by sand, primitive biotic crust, and advanced biotic crust, respectively, in the south fringe of Mu Us sandy land in Northwest China from July to September of 2006. The experimental results indicate that the advanced biotic crust could increase evaporation and dew deposition compared to the primitive biotic crust and bare sand although the differences between them were not significant. The average evaporation from advanced biotic crust, primitive biotic crust and sand was 6.8, 6.6, and 6.5 mm/d, respectively, and water content is around 16.2 % in the condition of initially identical soil. The average dew amount on advanced biotic crust was 0.116 mm/d with extreme 0.05 and 0.24 mm/d. The average values on primitive biotic crust and sand were 0.105 and 0.101 mm/d, respectively, with extreme 0.04 and 0.21 mm/d for both treatments. Also, the dew deposition on advanced biotic crust seemed stable and might rest for a longer time than that on primitive biotic crust and sand. The results suggest that the advanced biotic crust possibly facilitates evaporation and dew deposition. Therefore, the development of biotic crust may potentially enhance the hydrological circulation in the upper sand layer in sandy land.     

"珠三角"地区城市化对地下水水质影响案例研究

以珠海市东部沿海地区为例,探讨城市化地区地下水化学特征及污染状况的关系.结果表明土地利用类型与地下水水质变化密切相关.香洲区地下水化学组分差异较大,电导率范围为49.4~971 μS/cm.大部分地下水呈弱酸性,林地及果园用地地下水电导率较低,水化学类型多属于Na-HCO3型;老城区及新住宅区地下水类型多属于Ca-Mg-HCO3类型,电导率较高,受NO3-及Cl-污染较为严重.新住宅区地下水NO3-污染状况较老城区更为严重可能与旧村改造及市政排水设施不完善有关.除少数采样点外,地下水化学类型受季节变化影响不大.人为污染与自然风化过程是影响地下水化学类型的重要因素.     

机物料中溶解性有机质对土壤吸附除草剂的抑制作用

溶解性有机质(DOM)是陆地及水生生态系统中十分活跃的组分,对有机污染物质的环境行为 (如毒性、迁移转化及生物可降解性等)有着重要的影响,而施用有机物料会释放大量的DOM.采用批量平衡法研究了水稻秸秆腐解产生的溶解性有机质对苄嘧磺隆(BSM)在土壤中吸附行为的抑制作用.结果表明,线性方程能很好地描述BSM在土壤中的吸附行为;添加DOM降低了BSM在土壤中的分配系数即logKd值,其logKd值与对照(不加DOM)间存在极显著差异(P<0.01),秸秆腐解时间越长,logKd值越小;亲水组分和疏水组分在DOM抑制土壤吸附BSM中起着不同的作用;BSM在土壤上的吸附自由能小于40 kJ·mol-1,推测BSM在土壤上主要以物理吸附为主,吸附机理可能有范德华力、疏水键、氢键和偶极键力,不存在化学键吸附作用.