| 1 | 基于自组织神经网络的污染场地多监测指标相关性分析显示文摘为查明场地污染分布特征,需对场地土壤和地下水进行钻探取样,按规范的检测指标进行逐一测试。在初查和详查阶段将获得大量的土壤和地下水污染数据,数据样本数量大、监测指标多,数据结构复杂,如何从场地大数据中提取价值信息已成为研究热点。以某有机污染场地为例,基于自组织映射神经网络(SOM)和K均值算法开展大数据分析,深入探讨地下水和土壤中各污染指标间的相关性。结果表明:(1)基于自组织映射神经网络的大数据分析可快速挖掘复杂多维的污染场地监测数据,有效完成关键信息的提取;(2)地下水中污染检出指标存在显著的聚类特征,同一聚类中的污染指标具备相似的空间分布特征。对场地污染物检测采取先分类后分级的优化筛选策略,减少污染物检测指标数目,从而有效降低场地检测费用;(3)土壤和地下水中污染检出指标存在良好的空间相关性,这与该污染场地地下水渗流速度缓慢有关。土壤和地下水污染检出指标空间分布的相关性,有助于场地污染源的追溯。 | 马春龙 施小清 许伟伟 任静华 王佩 吴吉春 | 2021 | 水文地质工程地质2021，48，3： | 6 |
| 2 | 沙埕港大型底栖动物空间分布及其与环境因子之间的关系显示文摘大型底栖动物是海洋生态系统重要的生态类群,分析其群落组成及分布格局可为生态系统保护与修复提供理论支撑。本研究根据2021年4月(春季)和10月(秋季)开展的沙埕港大型底栖动物和环境调查数据,采用自组织映射神经网络(self-organizing maps,SOM)分析大型底栖动物群落分布特征,探究其群落分布与环境因子之间的关系。结果显示:共鉴定出大型底栖动物41种,其中细丝鳃虫、杂色巢沙蚕和短吻铲荚螠为优势种。SOM分析表明,群落分布类型分为Ⅰ型、Ⅱ型和Ⅲ型,其分布格局存在空间异质性,其中组Ⅰ型主要分布在湾内区域,Ⅱ型和Ⅲ型分别集中于湾中和湾外区域。基于大型底栖动物丰度和环境因子的冗余分析表明,中值粒径和温度是影响沙埕港大型底栖动物分布的关键环境因子。 | 李艺 何晨翔 胡成业 水柏年 方学河 周泽宇 刘永钿 周鑫 王晶 | 2023 | 浙江海洋大学学报(自然科学版)2023，42，4： | 0 |
| 3 | Baseline determination,pollution source and ecological risk of heavy metals in surface sediments of the Amu Darya Basin,Central Asia显示文摘Central Asia(CA)is one of the most fragile regions worldwide owing to arid climate and accumulated human activities,and is a global hotspot due to gradually deteriorating ecological environment.The Amu Darya Basin(ADB),as the most economically and demographically important region in CA,is of particular concern.To determine the concentration,source and pollution status of heavy metals(HMs)in surface sediments of the ADB,154samples were collected and analyzed for metals across the basin.Correlation and cluster analysis,and positive matrix factorization model were implemented to understand metals’association and apportion their possible sources.Cumulative frequency distribution and normalization methods were used to determine the geochemical baseline values(GBVs).Then,various pollution indices and ecological risk index were employed to characterize and evaluate the pollution levels and associated risks based on the GBVs.Results indicated that the mean concentrations of HMs showed the following descending order in the surface sediments of ADB:Zn>Cr>Ni>Cu>Pb>Co>Cd.The spatial distribution maps showed that Cr,Ni,and Cu had relatively high enrichment in the irrigated agricultural area;high abundances of Zn,Pb,and Cd were mainly found in the urban areas.Four source factors were identified for these metals,namely natural sources,industrial discharge,agricultural activities,and mixed source of traffic and mining activities,accounting for 33.5%,11.4%,34.2%,and 20.9%of the total contribution,respectively.The GBVs of Cd,Zn,Pb,Cu,Ni,Cr,and Co in the ADB were 0.27,58.9,14.6,20.3,25.8,53.4,and 9.80 mg/kg,respectively,which were similar to the regional background values obtained from lake sediments in the bottom.In general,the assessment results revealed that surface sediments of the ADB were moderately polluted and low ecological risk by HMs. | ZHAN Shuie WU Jinglu JIN Miao ZHANG Hongliang | 2022 | Journal of Geographical Sciences2022，32，11： | 0 |
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