基于环境保护大数据的监测与智能诊断研究

为了提高环境保护的智能监测能力,采用大数据分析方法进行环境监测和诊断分析,提出一种基于环保大数据关联特征挖掘的环境保护智能监测与诊断技术。构建环境监测的约束参量模型,以土壤监测数据、空间污染排放量以及水资源监测数据为原始统计数据,采用关联规则特征提取方法进行环保大数据的有用信息挖掘,结合模糊C均值聚类算法实现对环保大数据的分类处理,根据分类结果进行环保监测和智能诊断分析。仿真结果表明,采用该方法进行环保大数据挖掘的准确性较好,对各种污染信息的分类精度较高,提高了环保监测和诊断的有效性与实时性。     

洛阳分公司恶臭污染调查及防治

分析了洛阳分公司恶臭污染源，提出了解决恶臭污染的常用方法及对洛阳分公司恶臭污染源的控制及治理途径。     

杭州市工业源VOCs排放清单及排放特征

杭州市作为2016年国际峰会、2022年亚运会等一系列重大活动的举办地,对VOC源排放清单的研究,尤其是工业源VOCs的影响越来越受到管理部门和当地居民的重视.通过采取自下而上的方式,首次对杭州市涉及VOCs排放的30多个行业的3 518家企业逐一进行了详细的调查和估算,并在此基础上建立了杭州市工业源VOCs排放清单.从区域排放、排放强度、空间分布等不同角度对杭州市工业源VOCs排放特征进行了系统分析.研究结果表明,2015年杭州市工业源VOCs排放量为36 839.5 t;印刷和记录媒介复制、化学原料和化学制品制造、金属制品、纺织、橡胶和塑料制品行业是杭州市工业源VOCs排放量最大的五个行业;排放总量最大是萧山区,其次是富阳区和大江东产业集聚区;工业源VOCs排放强度最高的区域为富阳区、建德市和临安市;工业源VOCs排放主要集中在萧山区、大江东、富阳区、余杭区等工业企业较为密集的区域.     

内电解人工湿地冬季低温尾水强化脱氮机制

针对湿地冬季运行效率低、污染物去除能力差,本研究通过对比无植物湿地、普通湿地和内电解湿地冬季低水温下(3~12℃)对污水厂尾水的脱氮效能,深入分析其微生物群落结构组成,揭示内电解湿地的强化脱氮机制.结果表明,内电解湿地可以更好地利用尾水中碳源,脱氮效果优势明显,出水TN浓度维持在(9±0.29)mg·L~(-1),TN平均去除率达42.27%,比无植物湿地和普通湿地分别高出17.91%、17.33%.冬季低温条件下,内电解湿地微生物活性仍很高,荧光显色法测得微生物活性达到0.224 mg·g~(-1),分别是无植物湿地和普通湿地的2.6、3.4倍,反硝化强度分别是无植物湿地和普通湿地的2.8、3.3倍.高通量测序表明,内电解湿地基质微生物群落多样性优于无植物湿地和普通湿地.检测出的脱氮微生物主要有脱氯单胞菌、根瘤菌、生丝微菌、红杆菌,还有自养反硝化细菌产硫酸杆菌.内电解湿地在脱氮微生物总量上有明显优势,脱氮微生物占微生物总量的7.13%,分别是无植物湿地、普通物湿地的3.8、8.7倍,因而脱氮效率更高.     

人工林经营过程密度最优控制研究

在连续状态动态规划方法建立的人工林种群密度决策模型的基础上，首次提出应用遗传算法优化人工林林分经营过程的间伐时间和主伐时间的最优组合方案，并阐明其数学模型和具体方法。杉木人工林经营过程的密度最优控制方案优化实例表明，用遗传算法优化能收到良好效果。优化结果表明，杉木人工林经营过程中以间伐两次为最优，第一次在１１～１２年，第二次在１５～１８年，而主伐年龄以２５年为最优。     

紫外—双氧水和亚铁离子体系对硝基苯光降解的研究

研究了以５００Ｗ直管高压汞灯为光源，在双氧水和亚铁离子的体系中，对硝基苯进行光降解的可能性。结果表明，在实验条件下，本系统对硝基苯有明显的降解效果。浓度为５０ｍｇ／Ｌ的硝基苯经过６０ｍｉｎ的光照，其降解率可达９１．７％。此外，还探讨 铁离子浓度、双氧水浓度、硝基苯浓度、ｐＨ值等因素对光降解的影响。     

Spatiotemporal trends of PM2.5 and its major chemical components at urban sites in Canada

To evaluate the effectiveness of emission control regulations designed for reducing air pollution, chemically resolved PM_2.5 data have been collected across Canada through the National Air Pollution Surveillance network in the past decade. 24-hr time integrated PM_2.5 collected at seven urban and two rural sites during 2010-2016 were analyzed to characterize geographical and seasonal patterns and associated potential causes. Site-specific seven-year mean gravimetric PM_2.5 mass concentrations ranged from 5.7 to 9.6 µg/m³. Seven-year mean concentrations of SO₄^2?, NO₃^?, NH₄⁺, organic carbon (OC), and elemental carbon (EC) were in the range of 0.68 to 1.6, 0.21 to 1.5, 0.27 to 0.71, 1.1 to 1.9, and 0.37 to 0.71 µg /m³, accounting for 10.8%-18.1%, 3.7%-16.7%, 4.7%-7.4%, 18.4%-21.0%, and 6.4%-10.6%, respectively, of gravimetric PM_2.5 mass. PM_2.5 and its five major chemical components showed higher concentrations in southeastern Canada and lower values in Atlantic Canada, with the seven-year mean ratios between the two regions being on the order of 1.7 for PM_2.5 and 1.8-7.1 for its chemical components. When comparing the concentrations between urban and rural sites within the same region, those of SO₄^2? and NH₄⁺ were comparable, while those of NO₃^?, OC, and EC were around 20%, 40%-50%, and 70%-80%, respectively, higher at urban than rural sites, indicating the regional scale impacts of SO₄^2? and NH₄⁺ and effects of local sources on OC and EC. Monthly variations generally showed summertime peaks for SO₄^2? and wintertime peaks for NO₃^?, but those of NH₄⁺, OC, and EC exhibited different seasonality at different locations.     

Spatiotemporal variations of ambient air pollutants and meteorological influences over typical urban agglomerations in China during the COVID-19 lockdown

To investigate the air quality change during the COVID-19 pandemic, we analyzed spatiotemporal variations of six criteria pollutants in nine typical urban agglomerations in China using ground-based data and examined meteorological influences through correlation analysis and backward trajectory analysis under different responses. Concentrations of PM_2.5, PM₁₀, NO₂, SO₂ and CO in urban agglomerations respectively decreased by 18%–45% (30%–62%), 17%–53% (22%–39%), 47%-64% (14%–41%), 9%–34% (0%–53%) and 16%-52% (23%–56%) during Lockdown (Post-lockdown) period relative to Pre-lockdown period. PM_2.5 pollution events occurred during Lockdown in Beijing-Tianjin-Hebe (BTH) and Middle and South Liaoning (MSL), and daily O₃ concentration rose to grade Ⅱ standard in Post-lockdown period. Distinct from the nationwide slump of NO₂ during Lockdown period, a rebound (～40%) in Post-lockdown period was observed in Cheng-Yu (CY), Yangtze River Middle-Reach (YRMR), Yangtze River Delta (YRD) and Pearl River Delta (PRD). With slightly higher wind speed compared with 2019, the reduction of PM_2.5 (51%–62%) in Post-lockdown period is more than 2019 (15%–46%) in HC (Harbin-Changchun), MSL, BTH, CP (Central Plain) and SP (Shandong-Peninsula), suggesting lockdown measures are effective to PM_2.5 alleviation. Although O₃ concentrations generally increased during the lockdown, its increment rate declined compared with 2019 under similar sunlight duration and temperature. Additionally, unlike HC, MSL and BTH, which suffered from additional (> 30%) air masses from surrounding areas after the lockdown, the polluted air masses reaching YRD and PRD mostly originated from the long-distance transport, highlighting the importance of joint regional governance.     

太原市城区夏季VOCs来源及其对O3生成的贡献

采集太原市城区夏季VOCs样品并分析其浓度特征,使用参数修正法得到VOCs初始浓度,分析其来源及对O₃生成的贡献.结果显示：太原市城区总VOCs平均浓度为48.13 μg/m³,烷烃（25.52 μg/m³）为主要组分.VOCs浓度呈明显日变化特征,在日间（10：00~14：00）光化学产生O₃的关键时段浓度最低.油品挥发、机动车排放、燃煤、植物排放与液化石油气/天燃气（LPG/NG）使用源对修正后环境VOCs的贡献分别为26.89%、25.55%、21.14%、14.99%、11.44%,对O₃生成的贡献分别为21.44%、33.10%、24.07%、13.77%、7.62%.机动车为新鲜排放气团VOCs的重要来源,而油品挥发、燃煤的输送与本地积累是其他（混合、夜间与反应）气团VOCs的重要来源.机动车排放、油品挥发与燃煤为VOCs与O₃生成的重要贡献源,控制此类源排放可减少太原市城区环境VOCs浓度并有效降低O₃生成.     

重稀土元素钇对短程反硝化工艺的影响

研究重稀土元素钇(Y(Ⅲ))对短程反硝化工艺的短期和长期影响.结果表明,1～50mg/L的Y(Ⅲ)对亚硝酸盐的积累量无明显影响,60～100mg/L的Y(Ⅲ)会影响硝酸盐的还原和亚硝酸盐的积累.1～10mg/L的Y(Ⅲ)对细菌活性呈现促进作用,20～100mg/L的Y(Ⅲ)对细菌活性呈现抑制作用.胞外吸附的Y(Ⅲ)是抑...