农村生活污水处理技术的应用效果及其经济性分析研究——以重庆地区为例

为了解农村生活污水处理技术在应用过程中的效果.以重庆地区为例,对重庆市63个村庄的生活污水处理设施进行了调查.根据出水水质和建设成本,对村庄常用的污水处理技术进行经济技术综合比较分析.结果表明,无动力人工湿地较为经济,应用效果并不理想,在经济条件比较薄弱的地区可作为过渡型处理技术加以应用;渠道式生态沟投资较昂贵,不推荐使用;一体化设备投资昂贵,运行管理简单,在经济条件较好的地区可以考虑使用.     

基于本地污染源调查的杭州市大气污染物排放清单研究

基于实地调查数据并辅以统计数据,采用物料衡算法和排放因子法,估算了杭州市2015年大气污染物排放清单,并选取经纬度坐标、路网、航道、土地类型和人口等数据作为权重因子,研究了该地区各类排放源污染物排放空间分布特征.结果表明,杭州市2015年SO_2、NO_x、CO、VOCs、PM_(10)、PM_(2.5)和NH_3年排放总量分别为22.20×10~3、108.17×10~3、192.10×10~3、134.94×10~3、78.12×10~3、27.65×10~3和59.75×10~3t.工业源是杭州市SO_2排放的主要来源,移动源对NO_x和CO的排放贡献最为显著,扬尘源是杭州市PM_(10)和PM_(2.5)排放的最主要来源,其次为工业源;VOCs排放的主要来源依次为工业源、天然源和移动源;NH_3排放主要来自农业源.从空间分布来看,排放主要集中在中心城区及其周边的萧山、下沙、大江东、余杭和富阳等工业企业相对密集的区域.本研究建立的排放清单在污染源覆盖范围和排放因子方面仍然存在一定的不确定性,建议在后续研究中重点开展低、小、散企业及本地化排放因子调查研究工作,进一步提升大气污染物排放清单的准确度.     

CaO2及H2O2类Fenton降解土壤石油烃污染

采用H_2O_2/Fe(Ⅲ)/柠檬酸类Fenton体系和CaO_2/Fe(Ⅲ)/柠檬酸类Fenton体系修复土壤石油污染,考察了氧化剂种类、氧化剂投加量、 Fe(Ⅲ)浓度和柠檬酸浓度对柴油降解效果的影响,并进一步研究比较了CaO_2/Fe(Ⅲ)/柠檬酸和H_2O_2/Fe(Ⅲ)/柠檬酸2种修复方式对土壤原著微生物群落变化及豌豆植株生长所带来的生态毒性效应。单因素实验结果表明:在其他条件相同的情况下,CaO_2类Fenton降解柴油效果优于H_2O_2类Fenton降解效果;柴油降解率随着氧化剂投加量、Fe(Ⅲ)和柠檬酸浓度的增大呈现先增后降的趋势。当CaO_2浓度为166.67 mmol·L~(-1)、Fe(Ⅲ)浓度为27.78 mmol·L~(-1)、柠檬酸浓度为27.78 mmol·L~(-1)时,反应24 h后,土壤中柴油降解率达到44.14%。生态毒性实验表明:CaO_2类Fenton处理后土壤微生物群落的丰富度和多样性指数均有所提高,H_2O_2类Fenton处理后均有所降低,2种处理方式均在不同程度上改变了土壤微生物群落的优势菌门构成;CaO_2及H_2O_2类Fenton处理均抑制了豌豆植株的生长,发芽率、植株干重、株高、叶绿素含量等测试指标均下降,其中H_2O_2类Fenton处理的抑制效果更为明显。进一步分析可知,CaO_2类Fenton处理技术比H_2O_2类Fenton处理技术更适用于石油污染土壤修复。     

超重力技术治理火炸药行业氮氧化物的初步研究

火炸药行业排放氮氧化物(NOX)具有浓度高、排放点不集中和间歇排放的特点,采用超重力技术对尾气中高浓度的NOX进行湿法吸收.以清水为吸收剂,研究了进气量、液气比和超重力因子等因素对NOX吸收率的影响.结果表明,单级NOX吸收率可达64.69%(β＝90).超重力旋转填料床具有占地面积小、投资低和操作方便等优点,适宜于火炸药行业吸收NOX.     

Sub-lethal toxicity of the antiparasitic abamectin on earthworms and the application of neutral red retention time as a biomarker

The antiparasitic abamectin has been proven effective against both endo- and ectoparasites of farm animals and hence used widely in animal husbandry. It may enter the soil environment with the excreta of treated animals. Very little information is available with regard to the sub-lethal effects of abamectin on soil invertebrates, such as earthworms. The objective of this study was to evaluate the toxic effect of abamectin on earthworms, using Eisenia fetida, by analyzing changes in the survival, growth, reproduction and cocoon hatchability of exposed earthworms. Furthermore, a biomarker of the lysosomal membrane stability, measured by neutral red retention time (NRR-time), was also applied. Abamectin showed significant toxicity on the growth of earthworms with increasing concentrations up to 5mg/kg. The most sensitive parameter was reproduction (cocoons production and hatchability) and NRR-time. The number of cocoons was reduced at concentrations above 0.25mg/kg and no cocoons were present at the highest concentration of 5mg/kg. Cocoons exposed to abamectin exhibited a reduced hatching success at concentrations above 1.5mg/kg. The NRR-time was reduced significantly at exposure concentrations of abamectin above 0.25mg/kg. The change in lysosomal membrane stability showed a good correlation with reproduction and may hence be a potential predicator of the effects on earthworm populations.     

Artificial neural network modeling of dissolved oxygen in the Heihe River, Northwestern China

Identification and quantification of dissolved oxygen (DO) profiles of river is one of the primary concerns for water resources managers. In this research, an artificial neural network (ANN) was developed to simulate the DO concentrations in the Heihe River, Northwestern China. A three-layer back-propagation ANN was used with the Bayesian regularization training algorithm. The input variables of the neural network were pH, electrical conductivity, chloride (Cl^?), calcium (Ca²⁺), total alkalinity, total hardness, nitrate nitrogen (NO₃-N), and ammonical nitrogen (NH₄-N). The ANN structure with 14 hidden neurons obtained the best selection. By making comparison between the results of the ANN model and the measured data on the basis of correlation coefficient (r) and root mean square error (RMSE), a good model-fitting DO values indicated the effectiveness of neural network model. It is found that the coefficient of correlation (r) values for the training, validation, and test sets were 0.9654, 0.9841, and 0.9680, respectively, and the respective values of RMSE for the training, validation, and test sets were 0.4272, 0.3667, and 0.4570, respectively. Sensitivity analysis was used to determine the influence of input variables on the dependent variable. The most effective inputs were determined as pH, NO₃-N, NH₄-N, and Ca²⁺. Cl^? was found to be least effective variables on the proposed model. The identified ANN model can be used to simulate the water quality parameters.     

烟草下脚料发酵制取乙醇

通过单因素实验考察了硫酸浓度、固液比和水解时间对硫酸水解的影响。结果显示最优条件为:硫酸浓度为50%(w/w),固液比为10%(w/v),时间为100 min。烟草下脚料在最佳硫酸水解条件下,经5倍稀释,中和pH值至5～6。取经过滤后的水解液(FH)用酿酒酵母(Sacchharomyces cerevisiae)发酵产生乙醇,最大的乙醇浓度和乙醇产量分别为1.09g/L和54.5 g/kg。未过滤水解液(UFH,包括水解残渣)加入纤维素酶(70 U/100 mL)和酿酒酵母(Sacchharomyces cerevisiae)进行发酵,最大的乙醇浓度和乙醇产量分别为1.23 g/L和61.5 g/kg。     

河南省自然灾害的地域分界规律

河南省自然灾害的地域空间分异，主要遵循水平地带性规律、非地带性规律与垂直地带性规律。水平地带性主要影响以致控制灾害的不同类型，非地带性与垂直地带性则主要影响各种灾害的成灾强度。它们相互联系与制约，从而形成该省域灾害的三维分异。     

’98重庆市的自然灾害与减灾对策

１９９８ 年夏季, 长江流域发生了特大自然灾害。地处长江上游之尾的重庆市,其灾情以山洪和滑坡、崩塌、泥石流等坡地灾害并发为主, 具有与长江中下游地区不同的特殊性。作者分析了重庆市灾情的严重性, 从自然环境和人类活动两方面分析了灾害成因的特殊性,在此基础上提出了坡地灾害的防治对策