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121.
Gary Bickford John Toll Judi Hansen Elaine Baker Robert Keessen 《Marine pollution bulletin》1999,39(1-12):335-345
Sydney Water has completed a risk assessment to assess the risks to human health and aquatic organisms in creeks, rivers, estuaries and ocean waters affected by wet weather sewage overflows, stormwater and sewage treatment plant discharges. The risk assessment methodology consists of a comparison of measured and predicted concentrations of chemicals with toxicity reference values. Estimates of receiving water chemical concentrations were derived using data from a 10-year period so that the variable rainfall pattern was represented. Computer models were used to simulate and predict wet weather discharges during this ten year period. Risks were validated by bioassays and bioassessments. Risks to aquatic life from wet weather discharges were attributed to 14 chemicals at one or more of the sites and stormwater was the predominate source of the chemicals. There were no risks to people engaged in water based activities. Noncarcinogenic risks from fish ingestion are predicted at three sites. Predicted cancer risks for most individual chemicals were relatively small. Carcinogenic risks were typically associated with organochlorine compounds, polycyclic aromatic hydrocarbons, dichlorobenzene, and arsenic. The predicted cancer risks also appear to be largely the result of stormwater rather than sewage overflow inputs and largely due to historical contamination by organochlorine pesticides. It is expected the concentrations of these chemicals will decrease over time. 相似文献
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用孔石莼变异株Ulvapertusa、活性炭纤维(ACF)和二氯异氰尿酸钠(NaDDT)对养殖皱纹盘鲍HaliotisdiscushannaiIno产生的自污染水进行净化,并用于饲养幼鲍。结果表明,孔石莼变异株能有效地吸收对幼鲍生长产生影响的水化因子──氨氮、亚硝酸盐,而活性炭纤维对污水中的COD_Mn和细菌的吸附率分别达82%和99.98%,经孔石莼变异株处理后的养鲍污水与未处理的养鲍污水对幼鲍生长影响明显不同。文中同时提出了用活性炭纤维、孔石莼变异株和二氯异氰尿酸钠净化养鲍污水的循环反馈投饵养殖模式。 相似文献
127.
海洋沉积物中烃类化合物预处理条件优化及应用 总被引:1,自引:1,他引:0
运用分辨率高、稳定性好的HP6890 毛细管气相色谱仪定性、定量测定海洋沉积物中的正构烷烃和多环芳烃。对沉积物样品的预处理中抽提、蒸发、柱层析、萃取等步骤条件进行优化。优化方法中,正构烷烃系列化合物回收率为65 % ~76 % ,多环芳烃系列化合物为88 % ~95% ,标准偏差是2.7% ~20.2% (n= 3) 相似文献
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Studies on the direct application of the photo-Fenton process (PFOP) to disinfect and decontaminate textile wastewater are rare. The output of the artificial neural network (ANN) models applied to the wastewater of a textile factory producing woven fabrics, which is used to assess the efficiency of the PFOP process, are investigated and compared with each other in this study. The highest PFOP efficiency is obtained at a pH of 3. Chemical oxygen demand (COD), suspended solids (SS) and color removal rates are 94%, 90%, and 96%, respectively. The data are modeled with ANNs and nonlinear external input autoregressive ANNs (NARX-ANN) using the MATLAB R2020a software program. Both Levenberg–Marquardt (trainlm) and scaled conjugate gradient (trainscg) algorithms are employed in the ANN and NARX-ANN models, whereas hyperbolic tangent sigmoid (Tansig) and logistic sigmoid (Logsig) functions are superimposed on the hidden layer in the ANN model, and Tansig functions are superimposed on the NARX-ANN model. It is determined that the developed ANN models are more effective in estimating the PFOP efficiency. The mean squared error is 0.000 953, and the coefficient of determination (R2) is 0.96 661. 相似文献
129.
The aim of this paper is to show the concise chemico-physical adsorbent performance of water purification systems utilizing geo-(e.g., allophane, clinoptilolite, and smectite) and bio-polymer materials(e.g.,chitosan or cellulose nanocomposite materials) and to propose an optimal ground-water remediation technique. The performance of geo-materials is evaluated based on the individual sorption and immobilization capacities for various priority substances and pollutants(e.g., lead, zinc, cadmium, c... 相似文献
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