Distribution and impacts on the geological environment of antiviral drugs in major waters of Wuhan,China

This study investigated water samples collected from the surface water and groundwater in Wuhan City, Hubei Province, China in different stages of the outbreak of the coronavirus disease 2019 (hereinafter referred to as COVID-19) in the city, aiming to determine the distribution characteristics of antiviral drugs in the city’s waters. The results are as follows. The main hydrochemical type of surface water and groundwater in Wuhan was Ca-HCO₃. The major chemical components in the groundwater had higher concentrations and spatial variability than those in the surface water. Two antiviral drugs and two glucocorticoids were detected in the surface water, groundwater, and sewage during the COVID-19 outbreak. Among them, chloroquine phosphate and cortisone had higher detection rates of 32.26% and 25.80%, respectively in all samples. The concentrations of residual drugs in East Lake were higher than those in other waters. The main drug detected in the waters in the later stage of the COVID-19 outbreak in Wuhan was chloroquine phosphate, whose detection rates in the surface water and the groundwater were 53.85% and 28.57%, respectively. Moreover, the detection rate and concentration of chloroquine phosphate were higher in East Lake than in Huangjia Lake. The groundwater containing chloroquine phosphate was mainly distributed along the river areas where the groundwater was highly vulnerable. The residual drugs in the surface water and the groundwater had lower concentrations in the late stage of the COVID-19 outbreak than in the middle of the outbreak, and they have not yet caused any negative impacts on the ecological environment.©2022 China Geology Editorial Office.     

The distribution and ecological risks of antibiotics in surface water in key cities along the lower reaches of the Yellow River: A case study of Kaifeng City,China

A large number of antibiotics have been discharged into rivers by human activities, posing a threat to aquatic ecosystems. The surface water of the Yellow River Basin also suffers antibiotic pollution, which hinders the improvement in the aquatic ecological environment. This study investigated and analyzed the characteristics and assessed the ecological risks of antibiotic pollution in surface water bodies such as canals, rivers and fish ponds in Kaifeng, Henan Province, which is a key city along the lower reaches of the Yellow River. The test results are as follows. A total of 15 types of antibiotics were detected in the surface water. They had a total antibiotic concentration of 12.2–249.9 μg/L, of which tetracyclines (TCs) and quinolones accounted for the highest percentages. Six types of quinolones had detection rates of up to 100%, and doxycycline (DC) and oxytetracycline (OTC) had average concentrations of 29.52 μg/L¹ and 13.71 μg/L, respectively. The major canals with water diverted from the Yellow River had total concentrations of quinolones and TCs of 22. 0 μg/L and 14.9 μg/L, respectively, which were higher than those in previous studies. This phenomenon may be related to the decrease in the water flow of the Yellow River during the dry season and the increase in the antibiotic consumption of residents in the context of the Covid-19 outbreak. The upper reaches of the Huiji River in the Xiangfu District had higher antibiotic content than other districts in Kaifeng. Specifically, TCs accounted for 72.38%–91.84% of all antibiotics, and the DC and OTC concentrations were significantly higher than other antibiotics in the upper reaches. As indicated by the ecological risk assessment results, TCs had the highest ecological risks to green algae. Among them, DC had medium-high risks; TC, OTC, and chlortetracycline (CTC) had medium-high risks; trimethoprim (TMP) and lomefloxacin (LOM) had low risks; other TC antibiotics had no risk. Compared with green algae, most antibiotics showed higher ecological risks to daphnia and lower ecological risks to fish. DC and OTC dominate antibiotic pollutants in the surface water in Kaifeng City, and especially in Xiangfu District, where DC and OTC have medium-high risks. The TCs in the major Yellow River showed medium risks to both green algae and daphnia. It can be speculated that the antibiotic pollution in the Yellow River might pose a certain threat to the ecological security of water in Kaifeng City.©2022 China Geology Editorial Office.     

COVID-19疫情影响下的“五一”小长假城际出行特征与影响因素

科学评估重大公共卫生事件扰动对节假日城际出行活动的影响对于科学预防疫情传播、提升城际出行安全性具有重要意义。文章利用百度迁徙平台提供的城际出行数据,系统探讨了COVID-19疫情影响下的“五一”小长假城际出行规模时序变化、格局变化与出行流格局特征,并基于空间计量模型剖析了疫情与节假日叠加背景下的城际出行影响因素。结果表明：受COVID-19疫情影响,2020年“五一”小长假期间的城际出行规模同比下降达46.0%,时段波动主要表现为省内波动,省外城际出行总体较为平稳;COVID-19疫情对城际出行的影响呈现出东北>东中部>西部的特征;COVID-19疫情显著降低了“五一”小长假城际出行范围,相较于正常期70%的城际出行联系集中在400km范围内,疫情影响下的70%的城际出行联系集中在250 km范围以内;GDP、城镇化率、行政等级等城市规模吸引力因素,公路密度与高铁等交通变量是影响“五一”期间城际出行的主要因素,但各变量对城际出行的影响在“五一”不同时段具有时间异质性。公路密度与有无高铁具有显著的正向作用;城镇化率在出行期与返程期对城际出行分别起到了显著负向与正向作用;旅游资源丰富度仅在出行期显著。     

COVID-19风险冲击对疫区农户生计资本的影响及其抵御效应——以湖北、安徽、重庆为例

新冠肺炎(COVID-19)疫情给农户生计发展带来了重大风险,而生计资本是抵御疫情冲击、阻断返贫危机的关键。论文以重点疫区湖北省及周边地区为研究区域,基于可持续生计分析框架,从生计资本“结构—存量”多维视角出发,采用内生转换回归模型分析疫区465户农户生计资本对疫情风险的抵御作用。研究发现：① 重点疫区农户生计资本总量不高,疫情可能诱发生计脆弱性但不是唯一要素,基层公共卫生建设也极为重要;② 生计资本对疫情风险有显著抵御效应,人力资本维度作用更为凸显,物质资本占比过高反而会削弱疫情应对能力;③ 农户生计资本结构与存量分布不均,家庭劳动力、健康投入、财富积累、居住环境、社会阅历等是核心要素;④ 疫后生计恢复主要依赖于人力与金融资本的积累,而帮扶关键在于应急和兜底保障,要根据区域农户生计特征拟定差异化的疫情常态防控举措。     

Examining evidence for the Finite Pool of Worry and Finite Pool of Attention hypotheses

The Finite Pool of Worry (FPW) hypothesis states that humans have finite emotional resources for worry, so that when we become more worried about one threat, worry about other threats decreases. Despite its relevance, no conclusive empirical evidence for the hypothesis exists. We leverage the sudden onset of new worries introduced by the COVID-19 pandemic as a natural experiment to test the FPW hypothesis and a related hypothesis, the Finite Pool of Attention (FPA) hypothesis. The FPA hypothesis proposes that when we pay more attention to one threat, our attention to other threats decreases. To test these two hypotheses, we assessed self-reported attention, self-reported worries, and Twitter/news attention to various threats (climate change, terrorism, economic problems, and others) throughout the pandemic in three countries (USA, Italy, and China). We find that as attention to and worry about COVID-19 increases, attention to climate change decreases, but worry does not. Our results are confirmed by further analysis of a large, longitudinal U.S. sample. We find that public perceptions that COVID-19 and climate change are related do not fully explain the positive relationship in worry between the two hazards. In summary, our findings suggest that while there may be a Finite Pool of Attention to threats, there is limited evidence for a Finite Pool of Worry.     

From free good to commodity: Universalizing the provision of water in Paris (1830–1930)

This article focuses on the water distribution network in Paris, from the 1830s, when most Parisians got their water from public fountains and private wells, to the 1930s, by which time almost all of the capital’s inhabitants had been connected to the same network and enjoyed a standard service. It contributes, by a detailed analysis of the entire chain of mediators and mediation, to specify how the modern infrastructure ideal actually took form. In that aim, we analyze the manner in which each actor (public as well as private), in accordance with his/her constraints and resources, which depend on his/her position in the social space, was able to conceive of his/her environment, define objectives, confront problems, make choices and deploy a whole range of frequently innovative practices. In order to understand the underlying factors, our task consists in identifying the actors, modi operandi, progress and phases involved in universalizing water services. Spatially analyzing the extension of the water network, this article demonstrates that the process of universalization, far from being the inexorable and linear outcome of the action of a small number of “major historical forces”, was the upshot of the actions of a whole range of actors acting in specific different geographical, social, economic and technical contexts. The achievement of the “modern infrastructural ideal” as a macro-social phenomenon was ultimately down to a long accumulation process of a multitude of actions, interactions, conflicts and learning processes.     

基于多源数据的湖北省COVID-19疫情时空扩散影响因子分析

利用武汉市人口迁出规模指数与武汉迁入到湖北各市人口比例的乘积(MSI)及市内交通强度(TI),建立时间回归模型,分析各市的COVID-19每日新增病例;利用交通可达性及各市GDP比例,建立空间回归模型,分析湖北省各市COVID-19的万人累计感染率.结果显示:1)基于人口迁徙数据与各市每日新增COVID-19病例构建的...     

1840年以来长江大洪水演变与气候变化关系初探

长江洪水灾害是我国频率高、为患严重的自然灾害之一.本文依据可靠资料,选择1840年至2000年间32次大洪水记录,探讨其演变与气候变化的关系.认知1910s前的19世纪冷期出现大洪水13次(包括1870年的极值大洪水事件)频率为1.9次／10a.1921-2000年间出现了大洪水19次,频率为2.4次／10a.20世纪暖期又分出两个变暖时段,前一变暖时段的峰值期1920s-1940s出现大洪水9次,包含1931年全流域大洪水.后一变暖时段,即1980s与1990s出现大洪水8次.实测记录到的最大洪水1954年位于前一变暖时段结束阶段.1990s是全球,也是我国近百年中最暖年代,受东南季风影响大的中下游地区夏季降水量是近百年最多的,大暴雨频率也是有较多记录的40年来最高的.以此出现了10年5次大洪水高频率现象,包含1998年全流域型大洪水,表明了全球变暖的显著影响.也指示30-40年问周期性振荡中多雨年代.如此可预期21世纪初期降水会有小幅度下降与大洪水频率在短期内降低的可能性.长江上游受西南季风影响较大,19世纪下半期与20世纪上半期为多降水期,大洪水频率较高.20世纪下半期为少降水期,大洪水频率较低.关于气候变化研究有待深入,前景不易预估.     

常规流磁测量电子记录程序设计

分析常规流动磁力测量现有测量模式的缺点和流磁测量采用电子记录的可行性,针对野外数据采集电子记录需要实现的功能及电子记录数据整理,进行概略叙述和功能实现,通过人工作业和自动记录方式进行场地实测,并对数据采集结果和劳动强度进行比较,论证不同作业方式采集成果的一致性和常规流动磁力测量采用电子记录的优越性。