大同市居民尿中1-羟基芘的十年变化趋势

尿中1-羟基芘可作为人体接触环境中多环芳烃的生物监测指标。我们于2002年12月采集和测定了大同市两个典型功能区居民尿液中的1-羟基芘,并结合过去的研究数据分析了大同市居民尿中1-羟基芘近十年来的变化趋势,也从生物监测的角度反映了近十年来典型煤烟型城市大同空气环境质量的变化情况。     

从城考结果看城市污水处理的发展趋势

分析了我国十年来重点城市污水处理的发展和现状 ,以及污水处理存在的问题 ,对“十五”期间城市环境综合整治定量考核中城市生活污水处理率和城市生活污水的处理水平提出新的要求     

大连湾海域水体富营养状况分析

描述大连湾水体现状的最新动态.通过研究发现,大连湾大部分海域已达富营养化程度,其中无机氮是影响大连湾水质的主要污染物,无机磷含量高低是决定赤潮发生与否的限制因子.     

马鞍山市酸雨污染分析及控制对策研究

从马鞍山市降水常规监测数据资料入手 ,比较详细地分析了该市酸雨时空分布特征、原因以及降水酸度和酸雨频率年度变化情况 ,并结合马鞍山市有关环境资料对该市酸雨发展趋势作了较深的分析 ,也对酸雨污染控制对策作了一定的研究探讨。研究结果表明 ,该市存在酸雨污染问题 ,上半年比下半年污染重 ,主要集中在一中点 ,二氧化硫是影响降水酸度的主要因素 ,酸雨类型以硫酸型为主。随着经济发展 ,酸雨污染有扩大趋势 ,必须采取果断措施进行治理。     

北京市近年来大气降尘变化规律及趋势

根据北京市多年监测的降尘数据,对北京市城近郊区及远郊区的降尘量进行了统计分析,找出了北京市近15年来降尘的总体变化规律;利用方差分析方法检验了不同季节降尘的显著性差异,发现春季降尘量最大;找出了不同功能区的降尘变化规律,发现工业区的降尘量最大,而且不同行政区的功能区之间也存在差别。最后根据秩相关系数法对其进行了趋势分析,结果表明,北京市的降尘呈下降趋势。     

中国环境空气质量监测现状与发展

中国的环境空气质量监测经过20多年的发展,已经进入到自动监测阶段。完善城市空气自动监测系统、区域监测系统、质量保证、质量控制和监测项目,以及实现地级以上城市空气质量预报等是下一阶段的主要发展目标。     

河北省近岸海域氮磷变化及其影响因素分析

根据2011—2018年河北省近岸海域海水、入海河流、降水中氮和磷的监测数据,分析了海水中氮和磷的变化趋势及其影响因素。结果表明:2011—2018年,河北省近岸海域海水中无机氮(DIN)和无机磷(DIP)的平均浓度均低于第二类海水水质标准,海域富营养化状况以贫营养和轻度富营养为主,超标(第二类海水水质标准限值)点位和中度、重富营养区域主要集中在沧州市近岸海域。河北省近岸海域海水中DIN的平均浓度在2011—2014年、2015—2017年呈现阶段性上升趋势,2018年大幅下降; DIP的平均浓度在2011—2013年无明显波动,2014年陡增后开始逐年下降; N/P在2011—2014年无明显变化,2015—2018年呈逐年上升趋势。自2016年起,入海河流中氨氮和总磷的平均浓度、降水中氨氮的平均浓度均呈逐年下降趋势。近岸海域海水、入海河流、降水中的氮和磷表现出一定的相关性和协同性,陆源污染输入总量降低是海水中氮磷浓度降低的主要原因。应警惕污染物控制力度的不同所导致的海水中生源要素结构的改变,及其引发的潜在海洋生态风险。     

酒泉市近十年空气质量变化趋势研究

利用Daniel趋势检验法和综合污染指数法对酒泉市2009-2018年的环境空气监测数据进行分析研究,结果表明:环境空气质量综合污染指数呈现先升高后下降的趋势,但变化趋势不明显,2014年以来空气质量有改善趋势。     

Rapid declines of large mammal populations after the collapse of the Soviet Union

Anecdotal evidence suggests that socioeconomic shocks strongly affect wildlife populations, but quantitative evidence is sparse. The collapse of socialism in Russia in 1991 caused a major socioeconomic shock, including a sharp increase in poverty. We analyzed population trends of 8 large mammals in Russia from 1981 to 2010 (i.e., before and after the collapse). We hypothesized that the collapse would first cause population declines, primarily due to overexploitation, and then population increases due to adaptation of wildlife to new environments following the collapse. The long‐term Database of the Russian Federal Agency of Game Mammal Monitoring, consisting of up to 50,000 transects that are monitored annually, provided an exceptional data set for investigating these population trends. Three species showed strong declines in population growth rates in the decade following the collapse, while grey wolf (Canis lupus) increased by more than 150%. After 2000 some trends reversed. For example, roe deer (Capreolus spp.) abundance in 2010 was the highest of any period in our study. Likely reasons for the population declines in the 1990s include poaching and the erosion of wildlife protection enforcement. The rapid increase of the grey wolf populations is likely due to the cessation of governmental population control. In general, the widespread declines in wildlife populations after the collapse of the Soviet Union highlight the magnitude of the effects that socioeconomic shocks can have on wildlife populations and the possible need for special conservation efforts during such times. Declinación Rápida de las Poblaciones de Mamíferos Mayores después del Colapso de la Unión Soviética     

Declines in migrant shorebird populations from a winter‐quarter perspective

Many long‐distance migrating shorebird (i.e., sandpipers, plovers, flamingos, oystercatchers) populations are declining. Although regular shorebird monitoring programs exist worldwide, most estimates of shorebird population trends and sizes are poor or nonexistent. We built a state‐space model to estimate shorebird population trends. Compared with more commonly used methods of trend estimation, state‐space models are more mechanistic, allow for the separation of observation and state process, and can easily accommodate multivariate time series and nonlinear trends. We fitted the model to count data collected from 1990 to 2013 on 18 common shorebirds at the 2 largest coastal wetlands in southern Africa, Sandwich Harbour (a relatively pristine bay) and Walvis Bay (an international harbor), Namibia. Four of the 12 long‐distance migrant species declined since 1990: Ruddy Turnstone (Arenaria interpres), Little Stint (Calidris minuta), Common Ringed Plover (Charadrius hiaticula), and Red Knot (Calidris canutus). Populations of resident species and short‐distance migrants increased or were stable. Similar patterns at a key South African wetland suggest that shorebird populations migrating to southern Africa are declining in line with the global decline, but local conditions in southern Africa's largest wetlands are not contributing to these declines. State‐space models provide estimates of population levels and trends and could be used widely to improve the current state of water bird estimates.