臭氧和PM2.5对慢阻肺死亡影响及气温修饰效应

采用广义相加模型评估臭氧和细颗粒物（PM_2.5）暴露对2008~2017年上海浦东居民慢性阻塞性肺疾病（COPD）死亡的超额危险度（ER）和寿命损失年（YLL）的影响.结果表明：臭氧污染集中在4~6月,PM_2.5污染集中在12月、1~2月,10a间臭氧浓度逐年增加,PM_2.5有小幅下降;在最大滞后效应下,臭氧每增加10μg/m³,ER和YLL分别为1.34%（95% CI：0.57%~2.12%）和54.98（95% CI：16.36~106.41）人·a;PM_2.5每增加10μg/m³,两者分别为2.66%（95% CI：1.54%~3.79%）和130.92（95% CI：42.47~274.28）人·a;臭氧对男性和<85岁人群影响显著,PM_2.5对女性和³85岁人群影响显著;暖季时臭氧暴露相关的COPD死亡风险更高,冷季时PM_2.5暴露相关的COPD死亡风险更高.臭氧和PM_2.5致COPD死亡的影响可能因气温水平而异.     

城市污泥/磷尾矿陶粒的烧结条件及性能研究

以城市污泥和磷尾矿为原料,选取4个质量混合比(2:1、1:1、1:2、1:3),在不同烧结条件下(5个温度、5个时间)制备陶粒,对陶粒的堆积密度、吸水率、盐酸可溶率进行测定并对原料和部分陶粒进行XRD物相分析.研究结果显示:随着污泥添加比增大,陶粒堆积密度降低,盐酸可溶率(2:1除外)和吸水率升高.污泥:磷尾矿质量比为2:1的陶粒,当烧结温度为1000—1100℃时,其堆积密度小,吸水率较高;1100—1200℃时,陶粒盐酸可溶率降低,且显著低于其他比例.污泥含量的增加有助于提高陶粒物相特征峰的强度和丰富度,优化骨架结构.在配料比2:1、烧结温度1150℃、烧结时间15 min的条件下,制得堆积密度小(434.70 kg??m?3)的轻质陶粒.     

河口陆基养虾塘沉积物铁的含量和形态

为研究河口陆基养殖塘底泥中铁的迁移和转化机制,本文测定了福建省3个河口养虾塘养殖期表层和亚表层底泥沉积物中活性铁含量及间隙水的常见组分.结果表明,不同站点间晶质Fe（III）、非硫Fe（II）、有机铁、铁硫化物含量存在显著差异.间隙水SO₄^2-和Cl^-可能是影响不同站点间Fe的形态和分布存在异质性的主要环境影响因子之一.盐度较高的养虾塘,铁的硫化物含量较高,有机铁和晶质Fe（III）含量较少.陆基养虾塘底泥沉积物中活性铁含量按固相Fe（III） > 铁硫化物 > 非硫Fe（II） > 有机铁的顺序排列.养虾塘亚表层沉积物铁硫化物（FeS和FeS₂）含量高于表层沉积物,而表层沉积物有机铁含量与间隙水SO₄^2-和NH₄⁺浓度高于亚表层沉积物.铁硫化物的生成一定程度上降低河口陆基养虾塘沉积物营养盐污染的潜在风险.     

气象因素对大连空气中PM_(2.5)的去除效应分析

根据2013年1月1日至2月15日大连市环境监测中心PM2.5监测数据和大连市气象局风向、风速、降水量等资料,研究了降雪、降雨、风等气象因素对大气中PM2.5的去除效应。结果表明,大连市冬季采暖期PM2.5污染较重,PM2.5浓度受气象因素影响较明显。降雪、降雨、风三种气象因素对大气中PM2.5均有明显的去除效果,因去除机理不同,各气象因素对PM2.5的去除能力大小依次为风、降雨、降雪,去除效率分别为61.6%、46.0%、34.5%。     

河南省1950～1990年水旱灾害分析

根据河南省各县１９５０～１９９０年水、旱灾史料，进行系统的整理分析，揭示了本省各流域水、旱灾害农业损失程度，论述了水、旱灾的成灾原因、特点和规律。并对水、旱灾的灾度作了初步的探析。     

区域水资源承载能力综合评价：主成分分析法的应用

针对模糊综合评判法在综合评价中存在的主观随意性问题,提出采用主成分分析法进行区域水资源承载能力综合评价。首先对各区域的灌溉率、水资源利用率、水资源开发程度、供水模数、需水模数、人均供水量和生态环境用水率这七个主要因素进行了分析;然后,根据主成分分析法的原理,运用少数几个新的综合指标对原来的七个指标所包含的信息进行最佳综合与简化,研究其在各区域水资源开发利用过程中的不同贡献及综合效应;同时,以评价参     

城市污水厌氧氨氧化工艺的菌群分析与效能评估

厌氧氨氧化（Anammox）是一种高效低耗的新型生物脱氮技术,在城市污水处理中具有广阔的应用前景.在城市污水脱氮系统中,厌氧氨氧化菌（AnAOB）是否存在、丰度如何及Anammox脱氮效能如何,是进行Anammox评估的重要指标.本研究重点介绍了在生物脱氮系统中进行AnAOB菌种测定和菌群结构分析的分子生物学技术及Anammox脱氮贡献率的计算方法 .结果发现,对于AnAOB的菌种测定和菌群结构分析,可采用实时荧光定量聚合酶链锁反应（qPCR）、16S rRNA高通量测序和宏基因组测序等分子生物学技术;Anammox脱氮贡献率可通过物料衡算法和¹⁵N同位素示踪法计算.同时,对这些评估方法存在的一些局限性也进行了阐述.总体而言,如何科学、有效、全面地评估Anammox在生物脱氮系统中发挥的作用仍是一个需要长期探究的课题.但随着相关研究的不断深入,检测手段和分析方法也会得到不断优化,这将为Anammox工艺的理论研究及工程应用提供重要支持.     

Mercury accumulation and dynamics in montane forests along an elevation gradient in Southwest China

Understanding atmospheric mercury (Hg) accumulation in remote montane forests is critical to assess the Hg ecological risk to wildlife and human health. To quantify impacts of vegetation, climatic and topographic factors on Hg accumulation in montane forests, we assessed the Hg distribution and stoichiometric relations among Hg, carbon (C), and nitrogen (N) in four forest types along the elevation of Mt. Gongga. Our results show that Hg concentration in plant tissues follows the descending order of litter > leaf, bark > root > branch > bole wood, indicating the importance of atmospheric Hg uptake by foliage for Hg accumulation in plants. The foliar Hg/C (from 237.0 ± 171.4 to 56.8 ± 27.7 µg/kg) and Hg/N (from 7.5 ± 3.9 to 2.5 ± 1.2 mg/kg) both decrease along the elevation. These elevation gradients are caused by the heterogeneity of vegetation uptake of atmospheric Hg and the variation of atmospheric Hg° concentrations at different altitudes. Organic soil Hg accumulation is controlled by forest types, topographic and climatic factors, with the highest concentration in the mixed forest (244.9 ± 55.7 µg/kg) and the lowest value in the alpine forest (151.9 ± 44.5 µg/kg). Further analysis suggests that soil Hg is positively correlated to C (r² = 0.66) and N (r² = 0.57), and Hg/C and Hg/N both increase with the soil depth. These stoichiometric relations highlight the combined effects from environmental and climatic factors which mediating legacy Hg accumulation and selective Hg absorption during processes of organic soil mineralization.     

A meteorologically adjusted ensemble Kalman filter approach for inversing daily emissions: A case study in the Pearl River Delta, China

The conventional Ensemble Kalman filter (EnKF), which is now widely used to calibrate emission inventories and to improve air quality simulations, is susceptible to simulation errors of meteorological inputs, making accurate updates of high temporal-resolution emission inventories challenging. In this study, we developed a novel meteorologically adjusted inversion method (MAEInv) based on the EnKF to improve daily emission estimations. The new method combines sensitivity analysis and bias correction to alleviate the inversion biases caused by errors of meteorological inputs. For demonstration, we used the MAEInv to inverse daily carbon monoxide (CO) emissions in the Pearl River Delta (PRD) region, China. In the case study, 60% of the total CO simulation biases were associated with sensitive meteorological inputs, which would lead to the overestimation of daily variations of posterior emissions. Using the new inversion method, daily variations of emissions shrank dramatically, with the percentage change decreased by 30%. Also, the total amount of posterior CO emissions estimated by the MAEInv decreased by 14%, indicating that posterior CO emissions might be overestimated using the conventional EnKF. Model evaluations using independent observations revealed that daily CO emissions estimated by MAEInv better reproduce the magnitude and temporal patterns of ambient CO concentration, with a higher correlation coefficient (R, +37.0%) and lower normalized mean bias (NMB, -17.9%). Since errors of meteorological inputs are major sources of simulation biases for both low-reactive and reactive pollutants, the MAEInv is also applicable to improve the daily emission inversions of reactive pollutants.     

Robust optimization approach to two-echelon agricultural cold chain logistics considering carbon emission and stochastic demand

Environment, Development and Sustainability - Cold chain logistics has become one of the main sources of carbon emissions. Meanwhile, the implementation of low-carbon economy has become an...