贵阳市“两湖一库”周边蜘蛛体内镉含量及暴露风险

调查了高镉地质背景区蜘蛛(肖蛸科、园蛛科、蟹蛛科和络新妇科)及其生境水体、土壤和植物中的镉含量,探讨了蜘蛛体内镉的来源、影响因子及存在风险。结果表明,研究区蜘蛛体内的平均镉含量为1. 82±1. 37μg/g(n=130),表现为园蛛科肖蛸科络新妇科≈蟹蛛科。蜘蛛体重与体内镉含量表现出弱的负相关关系(r=-0. 17,p=0. 08),暗示了蜘蛛生长发育过程中的生物稀释效应。狩猎型蟹蛛科和结网型园蛛科蜘蛛体内镉含量与对应土壤镉含量呈显著正相关关系(r=0. 61,0. 97),并且它们对土壤的生物富集因子均大于1,表明这两类蜘蛛可以用来指示土壤镉污染。生物有毒物质残留指数显示,研究区蜘蛛受高镉地质背景影响,体内存在着一定的镉暴露风险。     

Hydrological Variability and Uncertainty of Lower Missouri River Basin Under Changing Climate

The lower Missouri River Basin has experienced increasing streamflow and flooding events, with higher risk of extreme hydrologic impacts under changing climate. The newly available North American Regional Climate Change Assessment Program (NARCCAP) climate projections were used as atmospheric forcing for Soil and Water Assessment Tool (SWAT) model which runs with varying potential evapotranspiration (PET) methods to assess the hydrological change and uncertainty of 2040‐2069 over 1968‐1997. The NARCCAP temperature and precipitation predictions were refined using a bias correction method. The results show that, following the seasonal variability of precipitation, various water fluxes would increase in most seasons except the summer. Expected precipitation tends to increase in intensity with little change in frequency, triggering faster surface water concentration to form floods. The greatest streamflow increase would occur from November to February, increasing by around 10% on average. An increase of 3% occurs in the other months except for July and August in which river discharge decreases by around 2%. The climate predictions contribute more uncertainty annually, but PET algorithms gain more influence in winter or when other weather factors such as wind play a relatively more important role on evapotranspiration flux. This study predicts an even wetter environment compared to the historically very wet period, with the possibility of more flooding.     

不同温度条件下高分子固化剂改良砂土的强度特性∗

近年来城市热岛效应越加明显,温度变化对土体性质的影响程度备受关注。通过一系列无侧限抗压强度试验,对高分子固化剂改良砂土在不同温度条件下的抗压强度特性进行了研究,并结合微观扫描电镜对改良砂土的微观结构和改良机理进行了研究。结果表明：在相同温度条件下,高分子固化剂改良砂土的强度和弹性模量随高分子固化剂含量的增加而增大;随着温度的升高,高分子固化剂改良砂土的强度和弹性模量一直保持增强趋势,且当温度达到 35℃后,加入 3% 和 4% 含量的高分子固化剂改良砂土的强度增幅变缓;高分子固化剂溶液均匀分散在砂土中,随着水分挥发,在砂粒之间形成了空间网状固化膜,使得分散的土体连接成为一体,从而提高砂土强度;且随着温度的增加,形成的固化膜强度增强,使得改良砂土强度进一步增加。高分子固化剂在高温条件下对砂土依然具有较好的加固效果,可为高温地区防风固沙加固提供新途径。     

面向保险业的大面积自然灾害防灾核损信息系统研究

本文依据区域自然灾害的组织体系，在Ｗｉｎｄｏｗｓ环境下，以ＭａｐＩｎｆｏ（ＧＩＳ）软件为主要支持工具，结合ＦｏｘＰｒｏｗ、ＶｉｓｕａｌＣ＋＋，提出了一整套保险防灾核损信息管理系统建设的概念化模型，并以湖南省为例，建立了全中文界面、面向湖南保险业的大面积防灾核损信息系统。最后，结合本系统给出几个应用实例     

贵州威宁草海湿地水体中有机碳时空分布特征及来源辨析

有机碳是陆地水生生态系统碳循环重要组成部分,湿地在维持岩溶碳汇稳定性方面具有十分重要的作用,揭示岩溶湿地水体中的有机碳时空分布特征及来源有助于明晰岩溶流域碳循环过程。本文以贵州威宁草海岩溶湿地为研究对象,对其丰、枯水期湿地水中溶解有机碳(DOC)、颗粒有机碳(POC)含量以及颗粒有机质(POM)碳、氮同位素等指标的测定,分析草海湿地水中POC、DOC浓度时空分布特征,探讨了水体中有机碳的来源。结果表明:草海湿地水体有机碳总体上以DOC为主,丰水期DOC变化范围为4.25～12.58 mg/L,平均值为8.19±1.49 mg/L,枯水期变化范围为4.79～15.93 mg/L,平均值为8.78±3.01 mg/L,丰水期略低于枯水期,DOC来源较为复杂,不同水文期受到外源和内源不同程度的影响;DOC在空间上丰水期呈现西部偏低,东及东南部偏高的分布特征,枯水期呈现南及西南部偏低,北及东北部偏高的分布特征。草海湿地水体丰水期POC变化范围为0.35～3.39 mg/L,平均值为1.13±0.78 mg/L,枯水期变化范围为0.32～1.84 mg/L,平均值为0.79±0.35 mg/L,丰水期高于枯水期;POC在空间上两期都呈现出中西低、中东高的分布特征。丰水期颗粒有机质的δ¹³C、δ¹⁵N值变化范围分别为-30.13‰～-14.80‰和-9.69‰～4.72‰,平均值分别为(-22.54±2.78)‰和(-2.88±2.89)‰,该时期POC以陆源有机质贡献为主;枯水期颗粒有机质的δ¹³C、δ¹⁵N值变化范围分别为-29.13‰～-21.91‰和-0.14‰～9.15‰,平均值分别为(-25.12±2.04)‰和(3.23±1.78)‰,该时期POC主要来源于沉积物。     

西安市典型道路扬尘排放清单及化学组分

道路扬尘是城市大气颗粒的主要来源之一,扬尘中含有的重金属、碳质组分和水溶性离子会危害人体健康 . 为研究西安市道路扬尘的排放量及颗粒物的化学组分,在西安市环路、主干路、次干路和支路设监测点,采集了 141个道路积尘样品,估算了不同类型道路的积尘负荷 . 采用 AP-42 模型估算了不同类型道路的扬尘排放因子,建立了 2018 年西安市道路扬尘 PM_2.5和 PM₁₀的排放清单,分析了道路扬尘颗粒物的化学组分 . 基于西安市路网分布、GIS信息和车流量对道路扬尘 PM_2.5和 PM₁₀的排放量进行了空间分配 . 结果表明,西安市机动车道、非机动车道和人行道的积尘负荷分别为（0.88±0.83）、（2.62±2.23）和（1.41±1.42）g·m^-2. 按道路长度加权平均的扬尘中 PM_2.5和 PM₁₀的排放因子分别为 0.22和0.93 g·km^-1·veh^-1. 2018 年西安市道路扬尘...     

临汾市臭氧污染变化特征、气象影响及输送源分析

结合2014~2020年临汾市臭氧逐小时质量浓度和同期气象数据、再分析数据以及潜在源贡献函数法（PSCF）对临汾市O₃污染时空变化特征、与气象因子的关系以及传输路径及潜在源分布开展研究.结果表明,临汾市近年来臭氧污染日益严重,O₃_8h_max年均质量浓度整体呈现上升趋势,2020年相对于2014年增加78.79%;月变化特征呈现“M”双峰型,季节变化峰值出现在夏季,而日变化受近地面大气光化学过程影响显著,呈较为明显的单峰单谷分布,峰值出现在14：00~16：00.O₃浓度与气温和日照时数呈显著线性正相关,当研究区相对湿度为40%~60%,气温高于20℃,风速区间为2~6m/s时易出现高浓度O₃污染.聚类分析表明临汾市O₃重污染天气期间以短距离输送气流为主,高O₃浓度除受到本地生成影响外,还受到省内临近城市及陕西省中部、河南省北部重工企业排放的大量NO_x和VOCs传输的影响.因此,针对临汾市O₃污染在严格控制本地污染源排放的前提下,必须加强汾渭平原地区的联防联控,才能有效缓解该区域大气污染的连片发生.     

Cross-boundary transport and source apportionment for PM2.5 in a typical industrial city in the Hebei Province, China: A modeling study

Cross-boundary transport of air pollution is a difficult issue in pollution control for the North China Plain. In this study, an industrial district (Shahe City) with a large glass manufacturing sector was investigated to clarify the relative contribution of fine particulate matter (PM_2.5) to the city's high levels of pollution. The Nest Air Quality Prediction Model System (NAQPMS), paired with Weather Research and Forecasting (WRF), was adopted and applied with a spatial resolution of 5 km. During the study period, the mean mass concentrations of PM_2.5, SO₂, and NO₂ were observed to be 132.0, 76.1, and 55.5 μg/m³, respectively. The model reproduced the variations in pollutant concentrations in Shahe at an acceptable level. The simulation of online source-tagging revealed that pollutants emitted within a 50-km radius of downtown Shahe contributed 63.4% of the city's total PM_2.5 concentration. This contribution increased to 73.9±21.2% when unfavorable meteorological conditions (high relative humidity, weak wind, and low planetary boundary layer height) were present; such conditions are more frequently associated with severe pollution (PM_2.5 ≥ 250 μg/m³). The contribution from Shahe was 52.3±21.6%. The source apportionment results showed that industry (47%), transportation (10%), power (17%), and residential (26%) sectors were the most important sources of PM_2.5 in Shahe. The glass factories (where chimney stack heights were normally < 70 m) in Shahe contributed 32.1% of the total PM_2.5 concentration in Shahe. With an increase in PM_2.5 concentration, the emissions from glass factories accumulated vertically and narrowed horizontally. At times when pollution levels were severe, the horizontally influenced area mainly covered Shahe. Furthermore, sensitivity tests indicated that reducing emissions by 20%, 40%, and 60% could lead to a decrease in the mass concentration of PM_2.5 of of 12.0%, 23.8%, and 35.5%, respectively.     

Urinary concentrations of phenols, oxidative stress biomarkers and thyroid cancer: Exploring associations and mediation effects

Phenols have been shown to influence the cellular proliferation and function of thyroid in experimental models. However, few human studies have investigated the association between phenol exposure and thyroid cancer, and the underlying mechanisms are also poorly understood. We conducted a case-control study by age- and sex-matching 143 thyroid cancer and 224 controls to investigate the associations between phenol exposures and the risk of thyroid cancer, and further to explore the mediating role of oxidative stress. We found that elevated urinary triclosan (TCS), bisphenol A (BPA) and bisphenol S (BPS) levels were associated with increased risk of thyroid cancer (all P for trends < 0.05), and the adjusted odds ratios (ORs) comparing the extreme exposure groups were 3.52 (95% confidence interval (CI): 2.08, 5.95), 2.06 (95% CI: 1.06, 3.97) and 7.15 (95% CI: 3.12, 16.40), respectively. Positive associations were also observed between urinary TCS, BPA and BPS and three oxidative stress biomarkers measured by 8-hydroxy-2′-deoxyguanosine (8-OHdG), 8-iso-prostaglandin F_2α (8-isoPGF_2α) and 4-hydroxy-2-nonenal-mercapturic acid (HNE-MA), as well as between urinary 8-isoPGF_2α and HNE-MA and the risk of thyroid cancer. Mediation analysis showed that urinary 8-isoPGF_2α mediated 28.95%, 47.06% and 31.08% of the associations between TCS, BPA and BPS exposures and the risk of thyroid cancer, respectively (all P < 0.05). Our results suggest that exposure to TCS, BPA and BPS may be associated with increased risk of thyroid cancer and lipid peroxidation may be an intermediate mechanism. Further studies are warranted to confirm the findings.     

Biofilm response and removal via the coupling of visible-light-driven photocatalysis and biodegradation in an environment of sulfamethoxazole and Cr(VI)

The widespread contamination of water systems with antibiotics and heavy metals has gained much attention. Intimately coupled visible -light-responsive photocatalysis and biodegradation (ICPB) provides a novel approach for removing such mixed pollutants. In ICPB, the photocatalysis products are biodegraded by a protected biofilm, leading to the mineralization of refractory organics. In the present study, the ICPB approach exhibited excellent photocatalytic activity and biodegradation, providing up to ∼1.27 times the degradation rate of sulfamethoxazole (SMX) and 1.16 times the Cr(VI) reduction rate of visible-light-induced photocatalysis . Three-dimensional fluorescence analysis demonstrated the synergistic ICPB effects of photocatalysis and biodegradation for removing SMX and reducing Cr(VI). In addition, the toxicity of the SMX intermediates and Cr(VI) in the ICPB process significantly decreased. The use of MoS₂/CoS₂ photocatalyst accelerated the separation of electrons and holes, with•O₂^– and h⁺ attacking SMX and e^– reducing Cr(VI), providing an effective means for enhancing the removal and mineralization of these mixed pollutants via the ICPB technique. The microbial community results demonstrate that bacteria that are conducive to pollutant removal are were enriched by the acclimation and ICPB operation processes, thus significantly improving the performance of the ICPB system.