金盆水库汛期高浊水径流的潜入及热分层水体水质响应

以西安金盆水库为研究对象,在汛期通过对河流区至库区的水温、浊度、DO和营养盐等水质指标进行连续监测,探究降雨径流的潜入规律及热分层水体水质动态响应特性.结果表明:在外界气温变化条件下,水库出现季节性热分层现象.汛期径流的汇入导致下温跃层消亡,热分层稳定性减弱;汛期径流水体携带大量颗粒态营养盐物质和泥沙以异重流形式潜入,其流态从过渡区的底层潜流向主库区间层流转变,潜入初期间层流厚度达20m.降雨早期异重流的潜入导致中下层水体的TN、TP、TOC显著增加,水体平均TN、TP、TOC、浊度最高分别超出平时0.2,2,0.6,16倍,水质呈现短时高污染负荷.底层潜流水体水温较高,大量沉降于沉积物中的颗粒态污染物分解速率加快,內源污染负荷进一步提高,底层水体中TN、TP、TOC浓度高达1.88,0.05,4.6mg/L;汛期可通过分层取水方案和排放高浊水来保障供水安全.     

大跨度高支模设计施工与安全

大跨度现浇钢筋混凝土建筑物中高支模设计施工是工程质量和安全的双重保证。某跨度14 m、长90 m、高10．5 m大跨度现浇钢筋混凝土建筑物屋面由10根主梁及若干井格次梁组成。以此重载荷的厂房为例,对其满堂支撑体系进行荷载设计及验算,在满足载荷力和稳定性的前提下,设计以核心支撑环节、拱卫加固卸荷支撑环节及一般支撑环节为一体的安全支撑体系,保证工程顺利完成,积累了此类设计的施工经验。     

基于降雨事件监测的非点源污染对灞河水质的影响

在对灞河马渡王水文站断面5次降雨事件过程和2次非洪水过程监测的基础上,分析了灞河流域非点源污染对灞河水质的影响.结果表明:降雨过程期间,COD、总氮、氨氮、硝氮、亚硝氮、总磷指标监测平均值均小于非洪水期监测平均值.各指标负荷输移速率随时间的变化趋势和径流量变化趋势大体相同,即先逐渐增大达到峰值,再逐渐变小;各指标浓度随时间的变化规律大致为:COD、硝氮、总氮浓度先增大后减小;亚硝氮为先减小后增大,总磷的变化规律不明显.总氮、硝氮的浓度峰和负荷输移速率峰均接近或滞后于流量峰;COD的浓度峰接近或滞后于流量峰,而负荷输移速率峰接近或超前于流量峰;总磷、氨氮的浓度峰和负荷输移速率峰均接近或超前于流量峰;而亚硝氮的浓度峰变化规律不明显,负荷输移速率峰接近或超前于流量峰.采用平均浓度法计算了各指标的非点源污染平均浓度及负荷:2009年灞河流域马渡王断面COD、总氮、氨氮、总磷的非点源污染负荷分别为8707.28,723.63,245.52,43.07t.2009年灞河流域马渡王断面NSP负荷COD、总氮、氨氮、总磷所占总负荷相应的比例分别为31.86%、32.69%、42.21%、34.42%.由此可见,非点源污染在灞河水污染中占有较大比重,其对于灞河水质的影响不容忽视.     

基于人均生态承载力的安徽省资源环境公平性研究

通过对人均生态承载力内涵的扩展,提出了生态承载系数的概念。从多个时间断面出发,计算2001—2010年安徽省17个地市的人均生态承载力,并选取能源消耗、水资源消耗、SO2排放和COD排放4个评价因子,构建基于人均生态承载力的安徽省资源环境基尼系数和生态承载系数的计算与评价方法。结果表明:(1)安徽省SO2排放的资源环境基尼系数高于0.4的警戒线,能源消耗的资源环境基尼系数接近0.4的警戒线,水资源消耗和COD排放的资源环境基尼系数均处于相对平均等级。(2)总体来看,省内资源型城市马鞍山、淮南,经济较发达城市合肥和沿江工业城市安庆、芜湖是安徽省资源消耗和污染物排放不公平性的主要因子,需要优化资源环境分配;皖南山区城市黄山、池州和宣城是安徽省资源消耗和污染物排放公平性的主要因子。该研究可为安徽省资源环境安全性评估和分配提供理论依据。     

洱海北部2种典型种植制度下农田氮污染负荷研究

洱海北部区域农村面源污染是富营养化初期湖泊——洱海氮磷负荷的主要来源.以洱海北部2种典型种植制度下的农田为研究对象,采用现场调查与采样分析相结合的方法,定量分析氮的输入通量(农作物施肥、大气降水降尘、灌水和生物固氮)及输出通量(农田收获物和生物脱氮),并计算其对水环境产生的氮污染负荷净排放量(包括农田地表径流和地下渗透流).结果表明,在水稻-蚕豆种植制度下,农田为环境友好型,基本不向水环境排放氮负荷,净排放量为-30.73 kg·hm-2·a-1,主要氮输入通量为生物固氮(占43.3％),其次为有机肥(占35.O％),且输出通量主要为农作物吸收(占98.5％).在水稻-大蒜种植制度下,农田为环境污染型,净排放量为306.75 kg·hm-2·a-1,主要氮输入通量为肥料(占84.7％),其中化肥占62.1％,而输出通量中水环境排放占45.4％.水稻-大蒜种植制度亟需采取合理施肥和提高肥料利用率等农田污染防治对策.     

珠三角工业城市污染物入河量空间特征分析

以东莞市第一次全国污染源普查成果为数据基础,调查估算2010年东莞市33个镇街和25个水功能区的COD、氨氮入河量,并应用GIS技术及相关分析法分析污染物入河量空间分布特征及其影响因素。研究发现：①东莞市各镇街及水功能区的污染物入河量呈明显不均匀分布,人口、GDP是影响污染物入河量空间分布的主要因素。②河网区、非河网区镇街的工业污染物入河量与GDP均呈较好的正相关关系,但非河网区单位污染物入河量GDP产出拟合曲线斜率是河网区的31倍,显示河网区镇街每增长单位污染物入河量所产生的GDP远远小于非河网区,河网区镇街往往付出巨大的污染代价而经济增长却非常有限。     

An approach to calculating allowable watershed pollutant loads

To improve the management of discharge pollutants loads in the reservoirs’ watershed, an approach of the allowable pollutants loads calculation and its allocation, based on the water environment model, was proposed. Establishment of the approach framework was described at first. Under the guidance of this framework, two major steps were as follows: modeling and scenario analysis were involved and should be applied to support the decision of discharge loads management; Environmental Fluid Dynamic Code (EFDC) model was selected as the kernel model in this framework. In modeling step, spatial discretization for establishing cell map in model, data preprocessing, parameter calibration and uncertainty analysis (which is considered as the significantly relevant factor of the margin of safety (MOS)), were conducted. As a result of the research, the model-based approach presented as a combination of estimation and precise calculation, which contributed to scenario analysis step. Some integrated modules, such as scenario simulation, result analysis and plan optimization were implemented as cycles in the scenario analysis. Finally, allowable pollutant loads under various conditions were calculated. The Chaihe Reservoir in Liaoning Province, China was used as a case study for an application of the approach described above. Results of the Chaihe reservoir water quality simulation, show good agreement with field data and demonstrated that the approach used in the present study provide an efficient and appropriate methodology for pollutant load allocation.     

Chemistry of atmospheric dust and critical load assessment in Delhi region (India)

This is the first study in the Delhi region that assesses the critical load capacity of soil systems with respect to the atmospheric deposition and air quality, from July to October in 2012. Trend analysis of NO₂ and SO₂ in Delhi, using the Central Pollution Control Board (CPCB) data, showed interesting patterns matching with the trends in vehicular load in the city. This was followed by the calculation of the critical load of atmospheric acidity for sulphur and nitrogen in order to check the vulnerability of the soil systems in Delhi. Here, the steady state mass balance approach was majorly applied and the study conducted in the Agra region was taken as reference. The calculated values of critical loads of sulphur (225–275?eq/ha/yr) and nitrogen (298–303?eq/ha/yr), for the soil system in Delhi, were calculated with respect to three plant species, namely Anjan grass, Hibiscus and Black siris. The present loads of sulphur (PL(S)?=?26.40?eq/ha/yr) and nitrogen (PL(N)?=?36.51?eq/ha/yr) were found to be much lower than their respective critical loads. From the results, it can be concluded that the present loads of atmospheric acidic deposition in Delhi region do not pose any danger of acidification of soil system because it is countered by buffering capacity of soil generated dust. However, considering the pace at which the city is growing, it is likely that in coming decades, the present load will increase and thus the values evaluated in this study are likely to serve as an important reference for future assessment of the pollution scenario in the city.     

山丘地形下近浅埋煤层综采面静动载叠加的矿压显现特征研究

针对近浅埋综采面过山丘地形发生强矿压显现的问题,采用现场监测、理论分析与数值模拟相结合的方法,建立山丘静载应力传递模型和不同岩层赋存特征的沙土型与土石型山丘工作面关键块体结构力学模型,分析山丘地形工作面矿压发生机理。研究表明:山丘静载向工作面传递的垂直应力呈钟形分布,山丘高静载应力易激发弱铰接结构失稳;山丘坡体中关键层的有无导致了土石型和沙土型山丘工作面矿压发生机理的差异性;坡体断裂块的倾斜回转运动是沙土型山丘工作面发生强矿压的主导因素,断裂块不同的倾斜回转方向导致工作面在上坡段矿压显现缓和而下坡段显现剧烈;土石型山丘工作面的矿压显现主要受坡体中关键块体结构稳定状态的控制,工作面在上坡初和坡顶段动载矿压强烈而下坡段后期较缓和。数值计算结果与现场监测和理论分析相符。     

沱江流域总氮面源污染负荷时空演变

根据四川省沱江流域水环境受总氮（TN）面源严重污染的现状,采用排污系数法估算2007~2017年该流域来自各面源污染源的TN污染负荷,并利用空间重心统计法和空间分析技术揭示沱江流域TN污染负荷时空分布特征及转移趋势,以期为相关部门精准防控和预警沱江流域面源污染提供理论依据.结果表明,2007~2017年畜禽养殖污染源对整个流域的TN污染负荷贡献率每年均在45%以上,是TN面源污染的主要污染源.农村生活和农村生活垃圾污染源的贡献率呈逐年减少趋势,农田固废和农田径流污染源的贡献率则呈增加趋势.TN总污染负荷总体呈下降趋势,2010年污染负荷最大,达到5.7×10⁴ t,2017年最小,为4.69×10⁴ t.污染负荷在空间上的异质性变化及降雨径流的不均匀分布驱使畜禽养殖、农田固废类和农田径流污染源的TN污染负荷重心由西北向东南方向移动,流域东南部是畜禽养殖、农田固废类和农田径流TN污染的重点防控区域.东南部各区县的农业人口大量向城市人口转化,进而驱动农村生活和农村生活垃圾污染源的TN污染负荷重心由东南向西北方向转移,其转移范围高达66.35 km²,由此确定的最小边界圆是污染源污染负荷变化的重点识别区域,沱江流域西北部则是农村生活和农村生活垃圾TN污染的重点防控区域.本研究拓展了环境科学领域对流域污染负荷时空演变的探究方法,对于改善水环境质量,促进流域经济可持续发展具有重要意义.