基于因子分析法优选河流水体中氮浓度预测方法的研究

定量的河流水体中氮浓度预测方法有很多种,如何优选出预测精度较高的方法一直是学术界多年来致力于研究的重点。本研究采用因子分析法对预测方法的精度评价指标进行分析,并建立了预测方法精度的评价模型,对回归分析法、神经网络法、灰色系统法和增长率统计法4种水体氮浓度预测方法进行综合评估,优选出精度较高的河流水体氮浓度预测模型——BP神经网络预测模型。结果表明,此评估模型对类似研究具有一定的参考价值,能为选择出合适的河流水体氮浓度预测方法提供依据。     

ASBBR-二级SBBR-化学除磷组合工艺处理榨菜腌制废水

针对榨菜腌制废水高盐高氮磷高有机物浓度的特征,提出"厌氧序批式生物膜反应器(ASBBR)-二级序批式生物膜反应器(SBBR)-化学除磷"组合处理工艺,在前期对组合工艺中单元工艺的关键工况参数研究的基础上,考察组合工艺的处理效能。实验结果表明,采用该组合工艺,可使进水COD、NH4+-N、TN及PO43--P分别为10 000、345、550和38.5mg/L的榨菜腌制废水,处理出水COD、NH4+-N、TN及PO43--P分别达到93.6、12.3、18和0.1 mg/L,去除率分别为99.1%、96.4%、96.7%和99.9%,出水达到污水综合排放一级标准。     

Inverse modeling of Asian Rn flux using surface air Rn concentration

When used with an atmospheric transport model, the ²²²Rn flux distribution estimated in our previous study using soil transport theory caused underestimation of atmospheric ²²²Rn concentrations as compared with measurements in East Asia. In this study, we applied a Bayesian synthesis inverse method to produce revised estimates of the annual ²²²Rn flux density in Asia by using atmospheric ²²²Rn concentrations measured at seven sites in East Asia. The Bayesian synthesis inverse method requires a prior estimate of the flux distribution and its uncertainties. The atmospheric transport model MM5/HIRAT and our previous estimate of the ²²²Rn flux distribution as the prior value were used to generate new flux estimates for the eastern half of the Eurasian continent dividing into 10 regions.The ²²²Rn flux densities estimated using the Bayesian inversion technique were generally higher than the prior flux densities. The area-weighted average ²²²Rn flux density for Asia was estimated to be 33.0 mBq m⁻² s⁻¹, which is substantially higher than the prior value (16.7 mBq m⁻² s⁻¹). The estimated ²²²Rn flux densities decrease with increasing latitude as follows: Southeast Asia (36.7 mBq m⁻² s⁻¹); East Asia (28.6 mBq m⁻² s⁻¹) including China, Korean Peninsula and Japan; and Siberia (14.1 mBq m⁻² s⁻¹). Increase of the newly estimated fluxes in Southeast Asia, China, Japan, and the southern part of Eastern Siberia from the prior ones contributed most significantly to improved agreement of the model-calculated concentrations with the atmospheric measurements. The sensitivity analysis of prior flux errors and effects of locally exhaled ²²²Rn showed that the estimated fluxes in Northern and Central China, Korea, Japan, and the southern part of Eastern Siberia were robust, but that in Central Asia had a large uncertainty.     

全球环境变化对土壤有机碳库影响的研究进展

全球环境变化对土壤生态系统有机碳库的影响是当前研究的热点。本文综述了大气CO2浓度升高、温度上升、氮沉降等环境因素变化对土壤有机碳输入与土壤呼吸可能的影响,介绍了关于全球环境变化对土壤有机碳库影响的研究手段及其存在的问题,并就今后研究土壤有机碳对全球变化的响应提出了几点建议。     

采油用油田化学剂对鱼类的急性毒性实验研究

以白鲢鱼为实验生物,采用半静态实验方法,研究了几种油田化学剂的半致死浓度和安全浓度。研究表明:防膨剂、杀菌剂K、杀菌剂L、清蜡剂、四氟硼酸、酸化缓蚀剂、阻垢剂、阻垢缓蚀剂、缓蚀阻垢剂和破乳剂的96h半致死浓度LC50值分别为0.68、1.6、9.3、25、123、510、620、3240、4570、7410mg/L。根据化学物质对鱼类毒性物质分级标准,防膨剂属于剧毒物质;杀菌剂K、杀菌剂L和清蜡剂属于高毒物质;四氟硼酸、酸化缓蚀剂和阻垢剂属于中毒物质;阻垢缓蚀剂、缓蚀阻垢剂和破乳剂属于低毒物质。这几种油田化学剂的安全浓度为0.068～741mg/L。此研究可为评价油田化学剂对水生生物的影响,制定废水排放浓度标准提供依据。     

长江流域常量元素的分布特征

2003年4月到5月对长江干流及主要支流河水中常量元素（Ca ²⁺,K⁺,Na⁺,Mg²⁺,Cl^-,SO^2-₄及碱度）进行了测定,并对常量元素的含量及影响因素进行了研究。结果表明,长江阳离子以钙为主,占阳离子总量的40%~80%;而阴离子主要为HCO^-₃,占阴离子总量的60%~90%;阴阳离子含量顺序为HCO^-₃>SO^2-₄>Cl^-,Ca ²⁺>Na⁺ >Mg ²⁺>K⁺。长江干流及主要支流河水的常量离子主要来自于岩石的风化,主要受碳酸盐类溶解的控制,硅酸盐类的风化过程较弱。而大气沉降的影响很小,只有SO^2-₄受大气沉降影响较大。长江干流的Na⁺、Mg²⁺、Ca²⁺、HCO^-₃和Cl^-主要来自于上游,下游只是对上游的简单稀释,而没有额外来源。与世界上其它大河相比,长江的常量离子浓度处于较高的水平;温带地区的河流河水中常量离子的含量常处于较高的水平;热带地区的河流河水中常量离子的含量相对较低。     

牡蛎壳生物滤池处理含盐污水中的硝化特性

采用牡蛎壳为曝气生物滤池填料,以含NaCl的生活污水为处理对象,在SBR操作条件下,系统考察进水NaCl浓度、曝气时间及进水pH值等对硝化性能的影响。结果表明,进水NaCl浓度为10~15 g/L时,平均氨氮去除率可稳定在97%以上;较高浓度NaCl对亚硝酸化菌活性影响较弱,对硝酸化菌活性影响较强,特别是在日曝气时间少于12 h时,其出水中亚硝氮的含率大于50%;当进水pH值在6~9变化时,反应器内pH值可稳定在6.5~7.5,硝化性能良好,表明牡蛎壳填料可为硝化反应提供碱度。     

Dynamics, deterministic nature and correlations of outdoor (222)Rn and (220)Rn progeny concentrations measured at Bacău, Romania

The long-term variation, nature and correlations of outdoor ²²²Rn and ²²⁰Rn progeny concentrations measured during the period 1994-2009 were investigated. The time series of data were obtained within the framework of the monitoring program performed by the Environmental Radioactivity Monitoring Station (ERMS) Bac?u, a component part of the National Environmental Radioactivity Survey Network (NERSN), coordinated by National Environmental Protection Agency (NEPA). The measuring method is based on the total beta measurements of atmospheric aerosol filters, using a low background total beta counter and (⁹⁰Sr/Y) reference standard. Analysis of the time series of progeny concentrations in the low atmosphere makes evident different patterns of variation of these concentrations: diurnal, seasonal and annual. A possible relationship of progeny concentration increase with global warming is emphasized. In order to find the dominant frequency of the physical processes determining progeny concentration variability the power spectrum has been used. The deterministic nature of the time series of concentrations has been studied making use of the autocorrelation function and stationarity of the original data and of their phase randomized time series. Also, the correlations with meteorological parameters have been investigated using Pearson’s correlation coefficient with corresponding level of significance.     

水培芹菜净化不同浓度沼液的试验研究

沼液是畜禽粪尿经厌氧发酵产生的发酵液,随意排放将对环境产生一定危害,有效利用将带来一定的经济效益。用沼液水培芹菜,不仅可以为芹菜提供丰富的营养物质,还能达到废物资源化利用的目的。通过生物浮床工艺,将芹菜水培于不同浓度沼液中,研究其生长特性及其对污染物的去除能力,得出用沼液水培芹菜的最佳稀释倍数。结果表明:经过80 d的种植,稀释30倍的沼液水培的芹菜生物增长量最大;随着沼液稀释倍数的增加,芹菜的茎叶部分与根部中N的质量分数越小。芹菜对稀释100倍沼液中TN的去除率最高,为94.6%;对稀释10倍沼液中TP的去除率最高,为90.6%。沼液经稀释20~50倍之后水培芹菜的TN、TP去除率都较高;稀释30~40倍沼液水培芹菜所取得的环境效益和经济效益较高。     

三峡库区汛期极端降水非均匀性特征

利用极端降水量集中度和集中期讨论三峡库区汛期极端降水量的非均匀性分布特征。结果表明: 三峡库区极端降水量空间分布表现为西南部和东北部地区相对较少,中部、东南部相对较多。库区汛期极端降水集中度和集中期的空间差异不大,集中程度总体较差,东北部和西部地区极端降水相对集中,中部相对分散。库区极端降水主要集中在6月底和7月上中旬,东北部和西部偏西地区集中期相对较晚,中部地区集中期相对较早。库区汛期极端降水量的分配状况与同期极端降水量存在较好的关系,即极端降水量越少,则极端降水量越集中、集中期越早;反之极端降水量越多,则极端降水量越分散、集中期越晚,尤其是在库区东北部地区最为显著。三峡库区蓄水后极端降水集中程度在空间上一致性较好,表现为蓄水后更为分散;极端降水量和集中期则在空间上差异显著,大致表现为蓄水后东北部极端降水增加并延迟;西南部极端降水减少并提前