两种工艺对污水再生水中微量有机物的去除效果

以20种微量有机污染物为目标物,针对北京市2个再生水厂的不同工艺,系统地考察了污水再生水中目标化合物的去除效果,并采用重组酵母雌激素活性筛检法(YES法)对再生水中雌激素活性进行评价.结果表明,超滤(UF)+臭氧(O3)氧化处理工艺可有效地去除微量有机污染物,出水中雌二醇当量浓度(EEQ)低于YES法检出范围.A2/O+膜生物反应器(MBR)+反渗透(RO)处理工艺对微量有机污染物有很高的去除能力,出水中可检测出的目标化合物较少.2种工艺均可降低再生水的环境风险,保障其使用安全.     

Soil selenium concentration and Kashin-Beck disease prevalence in Tibet, China

In order to investigate the correlation between the prevalence of Kashin-Back disease (KBD) and Se concentrations, natural soil samples and cultivated soil samples were collected from southeastern Tibet, China; and the soil Se concentrations were measured by atomic fluorescent spectrophotometer. It was found that the mean Se concentrations of natural soil samples in KBD areas, from the first layer to the third layer, were 0.17 mg/kg, 0.11 mg/kg, and 0.10 mg/kg, respectively, and in nondisease areas were 0.21 mg/kg, 0.24 mg/kg, and 0.13mg/kg, respectively. The mean Se concentrations of cultivated soil samples were 0.10 mg/kg in KBD areas and 0.23 mg/kg in non-disease areas, respectively. Soil Se concentrations in KBD areas were lower than that in non-disease areas, and the mean concentrations of soil Se in Tibet were lower than the average of China (0.29 mg/kg). Therefore, there is a close relationship between soil Se concentrations and KBD in Tibet. More studies should be concentrated on the impacts of Se deficiency in soils and its relationship with Se concentrations in food-grain and the human body in Tibet areas.     

池塘残饵对底泥氮、磷释放影响的模拟研究

运用室内静态模拟的方法,设置静态释放组(A组)和饲料添加组(B组),研究了池塘残饵分解对底泥氮、磷释放的影响.结果表明,A组DO高于B组(P<0.05),A组pH值为中性,B组pH值呈弱酸性.添加饲料后,B组硝态氮低于A组(P<0.05),而B组活性磷高于A组(P<0.05).实验第2~14 d,A组氨氮高于B组(P<0.05),此后B组氨氮升高,实验结束时B组氨氮高于A组(P<0.05).研究表明,添加饲料的B组,初期氨氮和硝态氮的释放都受到抑制.静态释放的A组,氮的释放变化是先上升,后降低的趋势,而饲料添加的B组,氮的释放变化趋势则是先降低,后升高.B组饲料分解向上覆水释放大量的磷,活性磷的变化呈现先上升后下降的趋势.     

Review on water leakage control in distribution networks and the associated environmental benefits

Water supply is the primary element of an urban system. Due to rapid urbanization and water scarcity, maintaining a stable and safe water supply has become a challenge to many cities, whereas a large amount of water is lost from the pipes of distribution systems. Water leakage is not only a waste of water resources, but also incurs great socio-economic costs. This article presents a comprehensive review on the potential water leakage control approaches and specifically discusses the benefits of each to environmental conservation. It is concluded that water leakage could be further reduced by improving leakage detection capability through a combination of predictive modeling and monitoring instruments, optimizing pipe maintenance strategy, and developing an instant pressure regulation system. The environment could benefit from these actions because of water savings and the reduction of energy consumption as well as greenhouse gas emissions.     

Evaluation of accuracy of linear regression models in predicting urban stormwater discharge characteristics

Stormwater runoff has been identified as a source of pollution for the environment, especially for receiving waters. In order to quantify and manage the impacts of stormwater runoff on the environment, predictive models and mathematical models have been developed. Predictive tools such as regression models have been widely used to predict stormwater discharge characteristics. Storm event characteristics, such as antecedent dry days （ADD）, have been related to response variables, such as pollutant loads and concentrations. However it has been a controversial issue among many studies to consider ADD as an important variable in predicting stormwater discharge characteristics. In this study, we examined the accuracy of general linear regression models in predicting discharge characteristics of roadway runoff. A total of 17 storm events were monitored in two highway segments, located in Gwangju, Korea. Data from the monitoring were used to calibrate United States Environmental Protection Agency＇s Storm Water Management Model （SWMM）. The calibrated SWMM was simulated for 55 storm events, and the results of total suspended solid （TSS） discharge loads and event mean concentrations （EMC） were extracted. From these data, linear regression models were developed. R2 and p-values of the regression of ADD for both TSS loads and EMCs were investigated. Results showed that pollutant loads were better predicted than pollutant EMC in the multiple regression models. Regression may not provide the true effect of site-specific characteristics, due to uncertainty in the data.     

BP神经网络在再生水补给密云水库水质评价中的应用

基于环境质量基本模型,将补给的再生水视为点源污染,建立了再生水补给后的湖库污染物浓度变化模型.在得到补给后主要污染物稳定浓度的基础上,建立BP神经网络模型,使用随机数发生器生成随机数据作为模型的学习样本和检验样本以满足BP模型对样本数量的需求.使用BP模型对再生水补给后的水质进行评价,评价结果证明了再生水补给的可行性与相对安全性.     

生物炭改良剂对小白菜生长及低质土壤氮磷利用的影响

生物炭技术是近年来新兴的具有多重农业和环境效益的土壤改良技术.本研究以宁夏低质淡灰钙土为研究对象,以"中白78"小白菜(Brassica chinensis)为供试作物,分别按0、1.5%、3%和5%(质量分数)的比例添加花生壳生物炭(Biochar,BC)和基于花生壳生物炭研发的生物炭改良剂(BC-based amendment,AD),系统研究了BC和AD对小白菜植株生长、产量及土壤养分利用有效性的影响.结果表明:BC和AD的添加均增加了小白菜的株高和产量,与BC相比,AD对小白菜的增产效果更为显著(BC和AD处理的产量分别为对照的2.34~3.77倍和4.37~4.60倍).各剂量BC处理中,小白菜地上部、根系生物量的顺序为1.5%BC3%BC≈5%BC;而对于AD处理,3种添加量处理的小白菜生物量无显著性差异.增产的主要原因包括两方面:第一是两种材料中主要养分对小白菜生长的直接贡献;第二则是两种材料均促进了小白菜根系的生长,增强了根际效应,从而改变了N、P等土壤养分的利用有效性.BC和AD的加入均增加了小白菜对N的利用有效性,AD促进了小白菜对P的利用有效性.可见,BC和AD均可作为土壤改良剂,改善宁夏低质淡灰钙土的养分状况,提高作物产量.     

海洋环境水下电场时频特征分析

目的掌握海洋环境水下电场主要能量来源和衰减规律。方法结合理论研究环境电场幅值随时间的变化规律,重点分析水下环境电场不同频带的频谱分布,最后计算得到海洋环境水下电场不同频点的幅值在整个频带所占比重。结果海洋环境水下电场随海水电导率和海水运动强度的减弱,幅值降低,能量主要集中在0.01~1 Hz的低频以及工频处,在一定的空间范围内海洋环境水下电场的一致性较强。结论实验结果与理论分析结果具有一定的吻合度。     

陕北水蚀风蚀交错区小流域苔藓结皮的空间特征及其影响因子

生物结皮是旱区普遍存在的活性地被物,在生态系统中发挥重要的生态功能,研究其发育特征与形成机理是有效管理和利用该资源的基础。退耕还林（草）工程实施以来,黄土高原地区生物结皮大面积发育,但相比荒漠地区,相关的研究工作还较薄弱。生物结皮的发育具有过程的复杂性和空间的分异性,诸多荒漠地区的研究结果不能直接外推至黄土高原地区。鉴于此,论文选择黄土高原典型小流域,通过全面调查和测算分析,应用GIS 软件,探讨了生物结皮的空间特征及其影响因子。结果表明：①流域内藓类共有2 科8 属13 种,狭网真藓、真藓、尖叶对齿藓分布最广;②苔藓结皮占绝对优势,面积为4.18 km²,占流域面积的60.7%,主要分布在干扰少、侵蚀弱、水分好的梁峁坡或梁峁顶上;③土壤、植被、坡向均对苔藓结皮的发育有显著影响。同黄土地相比,沙地苔藓结皮的覆盖度高、呈连片分布。乔、灌植被下的生物结皮发育优于草本群落,植被盖度对苔藓结皮产生先促进后抑制的作用（拐点约在覆盖度30%处）。总体上,阴坡生物结皮的覆盖度、厚度均高于阳坡。     

基于第二次全国土地调查的云南省坝区县、半山半坝县和山区县的划分

云南是我国西部的典型山区省份,地形坡度<8°的坝区面积仅占土地总面积的6%左右。应用云南省第二次全国土地调查中对各县（市、区）≥1 km²坝子的调查和核定成果,选取坝区耕地面积比例、坝区土地面积比例、≥100 km²坝子数等3 个单项指标,并构建了综合指标--坝区土地综合指数,采用主导指标与综合分析相结合的方法,对全省129 个县（市、区） 进行坝区县、半山半坝县和山区县的划分。结果表明,全省有21 个县属于坝区县,37 个县属于半山半坝县,71 个县属于山区县。这一研究修订了以往云南省仅以坝区耕地面积比例为指标而划分出的坝区县、半山半坝县和山区县方案,为云南省及各地合理地进行产业布局（尤其是农业生产布局）、保护坝区优质耕地资源提供科学依据和基础支撑。