基于“人工智能”驱动的农村生活污水系统治理专栏序言

伴随流域水污染控制与治理工作的深入,农村分散生活污水治理逐渐成为制约流域水环境改善的关键.同时,农村生活污水治理是人居环境提升、美丽乡村建设以及乡村振兴战略实施的集中体现,事关广大农村居民的切身利益.本专栏是国家水专项“分散污水治理课题”团队近年来科研成果的总结,从污水治理的全生命周期角度出发,尝试通过人工智能赋能治理模式决策、“菜单式”工艺组合、设施运维与监管、长效管理等4个方面对研究和实践进行了梳理总结,构建基于人工智能驱动的农村生活污水治理决策支持系统,以期为北运河流域以及其他区域农村生活污水治理提供科技支撑.     

生物酶对初沉污泥厌氧发酵产短链脂肪酸的调控研究

旨在通过生物酶调节(碱性蛋白酶、中性蛋白酶和α-淀粉酶)提高初沉污泥的厌氧发酵效率,并通过微生物群落结构解析,SCFAs (short-chain fatty acids,SCFAs)组分分析等揭示其调控机理.结果表明,3种生物酶均可增强初沉污泥水解和产酸作用,碱性蛋白酶调控系统对初沉污泥厌氧发酵的促进效果最为明显,发酵第4d SCFAs的产量和产率分别达到1508mg COD/L和0.174g COD/g VSS.对比控制组,SCFAs的产量和产率分别增加了1129mg COD/L和0.13g COD/g VSS.微生物群落结构分析表明,在碱性蛋白酶调控发酵系统中,Lentimicrobium、Proteiniphilum和Bacteroides等发酵相关菌群的相对丰度得到了改善,Methanosaeta、Methanospirillum等产甲烷古菌的活性受到了抑制.同时,生物酶调控对促进发酵过程乙酸占比也有促进作用.     

武汉军运会前后臭氧及其前体物的特征和来源

利用湖北省超级站2019年10~11月的臭氧、NO_x(=NO+NO₂)和102种VOCs物质的小时数据分析了军运会期间臭氧污染变化;基于DSMACC箱型模式模拟不同VOCs和NO_x浓度下臭氧的光化学生成敏感性;采用PMF模型对前体物VOCs进行源解析,并估算不同源类的臭氧生成潜势.结果显示,军运会保障前臭氧日最大8小时浓度(最大MDA8:219.51μg/m³)超过国家二级标准,保障期臭氧MDA8浓度(135.11μg/m³)明显下降,保障后浓度回升(140.98μg/m³).军运会保障前中期臭氧浓度的差异受气象条件影响更明显,而保障后臭氧浓度的上升主要是因为前体物浓度的大幅增加.根据DSMACC模拟的EKMA曲线,武汉市军运会期间臭氧的光化学生成主要受VOCs浓度变化的影响.进一步对VOCs进行源解析,结果显示,保障前VOCs对臭氧生成贡献较大的源类是燃烧源、石油化工和机动车,分别占23.0%、22.8%和22.5%;保障期间VOCs的主要来源是机动车(38.4%)和燃烧源(25.5%);保障后则主要是石油化工(32.6%)和燃料挥发(25.7%).三个阶段对比发现,军运会的保障方案对石油化工源减排效果明显,但对机动车和燃烧源排放的限制效果并不显著.武汉市应该更注重对燃烧、燃料挥发和机动车排放的治理.     

人为排放及气象因素对空气质量影响的定量分析——以疫情期间邢台市为例

选择河北省邢台市作为研究对象,将2020疫情作为一个极限管控措施下的极限减排实验情景,把2021疫情作为未来常态化疫情防控实验分析情景.与疫情前期对比,两次疫情期间臭氧浓度均有提升且2021疫情时期颗粒物浓度同样有提高,2020疫情时期其他污染物浓度均有不同程度的改善,而与2019历史同期相比,两次疫情期间臭氧浓度同样有升高现象,除此以外,2021疫情时期污染物改善较好.利用长短期记忆网络（LSTM）算法和空气质量预报模式系统（WRF-CMAQ）量化了两次疫情时期气象因素对于污染物浓度变化的影响,根据空气质量模拟法反推了不同污染物受人为影响的浓度变化.实验结果表明,LSTM算法在两次疫情期间的模拟均显示人为影响对污染物产生了负影响（降低了污染物浓度）且在总变化影响中占比较高,而CMAQ模式模拟结果中的气象因素影响占比远高于LSTM算法.CMAQ模式在两次疫情模拟中表现出了不同的结果,在2020疫情中人为影响占据了主导,而在2021疫情中,相比较2020疫情时期,除NO₂外,人类活动对其他污染物的影响均为正值（促进了污染物浓度升高）.     

Effects of artificially induced complete mixing on dissolved organic matter in a stratified source water reservoir

Naturally complete mixing promotes the spontaneous redistribution of dissolved oxygen(DO), representing an ideal state for maintaining good water quality, and conducive to the biomineralization of organic matter. Water lifting aerators(WLAs) can extend the periods of complete mixing and increase the initial mixing temperature. To evaluate the influence of artificial-induced continuously mixing on dissolved organic matter(DOM) removal performance, the variations of DOM concentrations, optical cha...     

Source identification, contamination status and health risk assessment of heavy metals from road dusts in Dhaka, Bangladesh

In this study, concentrations of Cr, Mn, Ni, Cu, Zn, Cd and Pb were determined in road dusts collected from different locations in Dhaka to assess source, contamination status and health risk. Energy-dispersive X-ray fluorescence spectroscopy and energy-dispersive X-ray spectroscopy were used to determine Cr, Mn, Ni, Cu, Zn, Cd and Pb and their mean concentrations were 162.27 ± 29.46, 721.18 ± 180.14, 35.65 ± 12.55, 104.56 ± 128.33, 515.32 ± 321.90, BDL, and 342.82 ± 591.20 mg/kg, respectively. Among the heavy metals, highest concentrations of Cu, Zn and Pb were found at urban sites-7 (municipal waste dumping) and 8 (medical waste incineration). Highest concentration of Cr followed by Cu and Zn was found at site-5 (Tejgaon, urban). Principal component analysis revealed that anthropogenic activities are the potential sources for Cr, Ni, Cu, Zn and Pb while earth crust for Mn. Pollution index and pollution load index results suggested that all the sites were contaminated and/or degraded by Cr, Cu, Zn and Pb except sites-9 (urban), 10 (sub-urban), 11 (rural) while sites-7 and 8 (urban) were extremely degraded. For noncarcinogenic health risk, hazard quotient values for dermal were higher compared to that of inhalation/ingestion. Though hazard index values were less than 1 at all the sites, these were at least one order of magnitude higher for children group than that of adult group, thus the children group may face more noncarcinogenic health risk at sites-7 and 8. Values of incremental lifetime cancer risk were from 10⁻⁹ to 10⁻¹¹ showed no carcinogenic health risk by road dusts contaminated with the heavy metals.     

Year-round observation of atmospheric inorganic aerosols in urban Beijing: Size distribution, source analysis, and reduction mechanism

To investigate particle characteristics and find an effective measure to control severe particle pollution, year-round observation of size-segregated inorganic aerosols was conducted in Beijing from January to December, 2016. The sampled atmospheric particles all presented bimodal size distribution at four pollution levels (clear, slight pollution, moderate pollution and severe pollution), and peak values appeared at the size range of 0.7-2.1 μm and >9.0 μm, respectively. As dominant particle compositions, NO₃⁻, SO₄²⁻, and NH₄⁺ in four pollution levels all showed significant peaks in fine mode, especially at the size range of 1.1-2.1 μm. Secondary inorganic aerosols accounted for about 67.6% (36.3% (secondary sulfates) + 31.3% (secondary nitrates)) of the total sources of fine particles in urban Beijing. Severe pollution of fine particles was mainly caused by the air masses transported from nearby western and southern areas, which are industrial and densely populated region, respectively. Sensitivity tests further revealed that the control measures focusing on ammonium emission reduction was the most effective for particle pollution mitigation, and fine particles all showed nonlinear responses after reducing ammonium, nitrate, and sulfate concentrations, with the fitting curves of y = -120.8x - 306.1x² + 290.2x³, y = -43.5x - 67.8x², and y = -25.8x - 110.4x² + 7.6x³, respectively (y and x present fine particle mass variation (μg/m³) and concentration reduction ratio (CRR)/100 (dimensionless)). Overall, our study presents useful information for understanding the characteristics of atmospheric inorganic aerosols in urban Beijing, as well as offers policy makers with effective measure for mitigating particle pollution.     

我国重型柴油货车黑碳排放影响因素分析

柴油车的黑碳排放对空气质量和气候变化有重要影响,但我国柴油车黑碳排放清单编制仍有较大局限性. 为进一步提高柴油车黑碳排放清单编制精度,采用整车转毂台架和热光折射的方法研究不同排放标准、行驶工况和负载状况对重型柴油货车黑碳排放的影响. 结果表明:我国排放标准升级对重型柴油货车的黑碳排放有重要影响,从国Ⅰ、国Ⅱ排放标准升级到国Ⅲ、国Ⅳ和国Ⅴ排放标准,黑碳在颗粒物中的占比由41%左右逐步提至72%左右. 行驶工况对重型柴油货车的黑碳排放也有一定影响,车辆在C-WTVC (中国重型商用车燃料消耗量测试工况)下的黑碳排放占比较VECC (重型车典型道路行驶工况)下高5%~10%. 与半载状态相比,重型柴油货车在满载状态下黑碳排放占比更高,国Ⅲ、国Ⅳ重型柴油货车满载状态下黑碳排放占比较半载状态高7%~8%,国Ⅱ重型柴油货车满载状态下黑碳排放占比较半载状态高15%左右. 研究显示,柴油货车黑碳排放清单编制要综合考虑排放标准、驾驶特征、负荷状况等对黑碳排放的影响,不宜使用固定系数利用颗粒物排放因子外推黑碳排放因子.      

微塑料对牟氏角毛藻的毒理效应

本文选取聚对苯二甲酸乙二酯（PET）和聚苯乙烯（PS）微粒作为目标污染物,探讨其不同浓度（50 mg/L、100 mg/L和200 mg/L）和不同粒径（100 μm、175 μm和250 μm）对受试生物牟氏角毛藻（Chaetoceros muelleri）的影响。结果表明,3种粒径和浓度的微塑料（PET 和 PS ）均对微藻细胞密度产生抑制作用,PET（100 μm,200 mg/L）和PS（100 μm,200 mg/L）对微藻产生的最大抑制率分别为 37.3% 和 32.5%。微塑料浓度越大,对藻细胞密度的抑制作用越强;而粒径变化对藻细胞密度的抑制作用未呈现明显规律。PET对牟氏角毛藻细胞干重的影响较小,与对照组相比无显著性差异（P>0.05）,PS则对牟氏角毛藻细胞干重无影响。微塑料对牟氏角毛藻叶绿素a（Chl a）的抑制作用与其类型和暴露时间有关。PET对Chl a起抑制作用,PS则起促进作用。     

基于平面压入技术研究焊接接头单轴应力-应变关系

目的 获取异种金属焊接接头母材和热影响区局部拉伸应力-应变关系。方法 对压水堆机组蒸汽发生器接管安全端异种金属焊接接头(20MND 5-INCONEL 52-Z2 CND 18.12控氮)进行研究,通过金相检验和显微硬度测试,研究DMWJ母材、热影响区、焊缝熔合线位置的金相组织和维氏硬度分布。采用等直圆棒拉伸试验获得DMWJ低合金钢(20MND 5)母材的应力-应变关系,采用基于能量等效理论的平面压入技术获得DMWJ低合金钢母材、热影响区和焊缝局部材料应力-应变关系。结果 DMWJ材料组织、力学性能不均匀,等直圆棒拉伸试验得到的低合金钢母材拉伸应力-应变关系与平面压入技术测得结果较为吻合。结论 基于能量等效理论的平面压入技术可精确测得DMWJ低合金钢母材、热影响区和焊缝局部材料应力-应变关系,对压水堆核电站DMWJ在役检测及结构完整性评价具有重要意义。