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区域海湾水质污染检测及生态危害研究
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作者 曹静静 郭莲秀 马芳 《环境科学与管理》 CAS 2024年第7期136-140,共5页
近年来海湾生境退化现象较为严重,造成这种现象的主要原因是人类活动和海岸侵蚀,其中,海洋开发活动、海上污染和陆源污染都会影响海湾水质。当海湾水质受到污染时会造成严重的生态污染,破坏了生态平衡。为了提高海湾水质,恢复海湾生态功... 近年来海湾生境退化现象较为严重,造成这种现象的主要原因是人类活动和海岸侵蚀,其中,海洋开发活动、海上污染和陆源污染都会影响海湾水质。当海湾水质受到污染时会造成严重的生态污染,破坏了生态平衡。为了提高海湾水质,恢复海湾生态功能,提出区域海湾水质污染检测及生态危害研究。将山东省日照市作为研究区域,检测区域海湾内总磷、总氮等营养盐指标的含量分布及变化情况,更准确地了解海湾的污染状况;采用营养状况指数法分析上述营养盐指标造成的生态危害;结合潜在风险指数法评价重金属元素对海湾水质造成的生态危害,为后续的水质治理提供了有力的数据参考。根据此次研究结果,有助于为相关区域海湾的水质改善和生态恢复提供有效支持。 展开更多
关键词 水质污染 重金属污染 海湾水质 营养盐指标 生态危害
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深圳河湾流域溢流污染规律及其对海湾水质的影响 被引量:8
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作者 程鹏 李明远 +1 位作者 楼凯 秦华鹏 《北京大学学报(自然科学版)》 EI CAS CSCD 北大核心 2021年第1期132-142,共11页
以深圳河湾流域为研究对象,基于流域降雨径流污染?沿河截排系统溢流?海湾水动力水质联合模型,分析研究区溢流污染输出的时空变化规律及其对海湾水质的影响。结果表明,全年流域主要污染源为污水处理厂尾水污染和溢流污染;溢流污染占入河... 以深圳河湾流域为研究对象,基于流域降雨径流污染?沿河截排系统溢流?海湾水动力水质联合模型,分析研究区溢流污染输出的时空变化规律及其对海湾水质的影响。结果表明,全年流域主要污染源为污水处理厂尾水污染和溢流污染;溢流污染占入河湾总污染负荷的30%左右,雨季升至50%左右,成为深圳河湾流域雨季最主要的污染源;溢流污染负荷季节差异性显著,雨季占全年总负荷的85%以上;溢流污染负荷随降雨量增加而增加,当降雨强度相差不大的时候,雨前干旱时间越长,溢流污染负荷越大;深圳湾内湾水质比外湾差且波动更明显,雨季内湾及湾中水质比旱季差且波动更大;在场次降雨情况下,内湾水质波动受溢流污染冲击影响最严重,湾中及外湾水质波动主要受潮汐作用影响;在降雨重现期为0.25~0.5年(2小时降雨约45~60 mm)时,深圳湾水质超标最明显,水质受溢流污染冲击影响的持续时间为12~20天。 展开更多
关键词 溢流污染 污染源解析 海湾水质 时空变化 暴雨洪水管理模型(SWMM) 环境流体动力学模型(EFDC)
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Distribution of nutrients and eutrophication assessment in the Bohai Sea of China 被引量:23
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作者 王修林 崔正国 +2 位作者 郭全 韩秀荣 王江涛 《Chinese Journal of Oceanology and Limnology》 SCIE CAS CSCD 2009年第1期177-183,共7页
Water samples were collected in 120 stations in the Bohai Sea of China to analyze the distribution of dissolved nutrients and assess the degree of eutrophication in August 2002. The result shows that the average conce... Water samples were collected in 120 stations in the Bohai Sea of China to analyze the distribution of dissolved nutrients and assess the degree of eutrophication in August 2002. The result shows that the average concentration of DIN increased and the PO4-P concentration sharply decreased compared to the previous data of corresponding period. The high concentrations of DIN and PO4-P occurred in coastal waters, especially in the bays and some river estuaries, while the high concentrations of SiO3-Si in the surface and middle depth occurred in the central area of the Bohai Sea. The average ratio of DIN/PO4-P was much higher than the Redfield Ratio (16:1). Apparently, PO4-P was one of the limiting nutrient for phytoplankton growing in the sea. The average concentrations of DON and DOP were higher than their inorganic forms. The results of eutrophication assessment show that 22.1% of all stations were classified as violating the concentration levels of the National Seawater Quality Standard (GB 3097-1997) for DIN and only 3.9% for PO4-R The average eutrophication index in the overall area was 0.21±0.22 and the high values occurred in Bohai Bay, Liaodong Bay and near the Yellow River estuary. This means that the state of eutrophication was generally mesotrophic in the Bohai Sea, but relatively worse in the bays, especially some river estuaries. 展开更多
关键词 eutrophication aassessment NUTRIENTS DISTRIBUTION Bohai Sea
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Application of Artificial Neural Network in the Research of the Bohai Bay Eutrophication 被引量:1
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作者 吴卿 赵新华 赵全 《Transactions of Tianjin University》 EI CAS 2007年第6期437-440,共4页
In order to research the feasibility of artificial neural network (ANN) in the research of eutrophication of the Bohai Bay in China, an ANN model simulating chlorophyll a, b and c concentrations, concerning temperatur... In order to research the feasibility of artificial neural network (ANN) in the research of eutrophication of the Bohai Bay in China, an ANN model simulating chlorophyll a, b and c concentrations, concerning temperature, dissolved oxygen, salinity, pH value, chemical oxygen demand (COD), PO43-, NO2-and NO3-factors in the Bohai Bay was presented and validated. After experiencing and training by Matlab, the model′s validation mean square error (MSE) performance is 0.009 985 02. R-squared between estimated and observed concentrations of chlorophyll a, b and c are 0.965 7, 0.998 7 and 0.970 7 respectively, indicating that the estimated value agrees with the observed value well, and the model can be used in the prediction of eutrophication of the Bohai Sea. In order to study the influence of model input factors on chlorophyll concentration (i.e. model outputs), hypothetical scenarios were introduced to show model output responses to variations in input factors. The limitation of temperature, salinity and phosphate that induce red tide in the Bohai Bay was also presented. 展开更多
关键词 artificial neural network seawater quality EUTROPHICATION
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