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?????????????????????????????????????ó???????????????????????仯??????1???????????仯????????????????NNW-SSE??????????3~9 kPa a^-1???????????仯???????????????NEE-SWW??????????1~6 kPa a^-1?????????????????????????????????????￡?2???????????仯????????????????NNW????????????????,??????????????????????????????????仯???????????????NEE????????λ?????????????????????仯????????????????????????????????????????????п????????Щ???????????????????3?????????????????????????????????з???????????-???ε???????????????????6 kPa a^-1?????-?????ε???????????????????5 kPa a^-1???????κ??????媲????ε????????????????????3~4 kPa a^-1??     

P－350浸渍树脂分离富集Ag，Cd体系及其应用

以Ｐ－３５０吸附于ＤＡ＿（２０１）树脂上，制得了Ｐ－３５０浸渍树脂，通过柱层析法，试验了树脂吸附和解脱Ａｇ，Ｃｄ的条件和干扰离子的影响。建立了Ｐ－３５０浸渍树脂分离－富集Ａｇ，Ｃｄ体系，并应用于岩石样品分析中，效果较好。     

东北黑土区保护性耕作的发展现状与成效研究

东北黑土区承担着国家粮食安全“稳压器”的重要责任。然而,由于长期超负荷开发利用导致黑土日益退化,黑土资源的永续利用受到严重制约。理论与实践证明,保护性耕作是保护黑土地、推动黑土耕地质量和耕作效益绿色增长的发展模式。综述了保护性耕作的基本内涵及其在东北黑土区的发展现状与技术概况,从保护性耕作在土壤保持、保墒效益、结构改善、固碳培肥和土壤生物多样性增加、节本增效等方面系统评估了东北黑土区实施保护性耕作后的生态与经济效益,提出黑土区实施保护性耕作存在的问题与未来发展方向,以促进黑土地保护与利用协调发展、推动保护性耕作高质量跨越式发展。     

西南极菲尔德斯GPS形变网监测数据的误差特性分析与处理

本文对西南极菲尔德斯形变网ＧＰＳ监测数据的误差特性进行分析，利用数理统计原理检验了数据中的系统误差，提出了削弱这类系统误差的方法。该方法有３个特点：１．以监测网中两个稳定点为基准；２．对监测网数据进行尺度因子改正与坐标变换迭代计算；３．归算后监测网点位结构不变。经改化处理后的数据，基本上消除了系统误差的影响。     

Characteristics and cause analysis of heavy haze in Changchun City in Northeast China

Northeast China has been reported as having serious air pollution in China with increasing occurrences of severe haze episodes. Changchun City, as the center of Northeast China, has longstanding industry and is an important agricultural base. Additionally, Changchun City has a long winter requiring heating of buildings emitting pollution into the air. These factors contribute to the complexity of haze pollution in this area. In order to analyze the causes of heavy haze, surface air quality has been monitored from 2013 to 2015. By using satellite and meteorological data, atmospheric pollution status, spatio-temporal variations and formation have been analyzed. Results indicated that the air quality in 88.9% of days exceeding air quality index(AQI) level-1 standard(AQI 50) according to the National Ambient Air Quality Standard(NAAQS) of China. Conversely, 33.7% of the days showed a higher level with AQI 100. Extreme haze events(AQI 300) occurred frequently during agricultural harvesting period(from October 10 to November 10), intensive winter heating period(from Late-December to February) and period of spring windblown dust(April and May). Most daily concentrations of gaseous pollutants, i.e., NO_2(43.8 μg/m~3), CO(0.9 mg/m~3), SO_2(37.9 μg/m~3), and O_3(74.9 μg/m~3) were evaluated within level-1 concentration limits of NAAQS standards. However, particulate matter(PM_(2.5) and PM10) concentrations(67.3 μg/m~3 and 115.2 μg/m~3, respectively) were significantly higher than their level-1 limits. Severe haze in spring was caused by offsite transported dust and windblown surface soil. Heavy haze periods during fall and winter were mainly formed by intensive emissions of atmospheric pollutants and steady weather conditions(i.e., low wind speed and inversion layer). The overlay emissions of widespread straw burning and coal combustion for heating were the dominant factors contributing to haze in autumn, while intensive coal burning during the coldest time was the primary component of total emissions. In addition, general emissions including automobile exhaust, road and construction dust, residential and industrial activities, have significantly increased in recent years, making heavy haze a more frequent occurrence. Therefore, both improved technological strategies and optimized pollution management on a regional scale are necessary to minimize emissions in specified seasons in Changchun City, as well as comprehensive control measures in Northeast China.     

末次间冰期127 ka时期植被反馈增强东亚夏季风降水的数值模拟研究

黄土和石笋等古气候代用资料表明在末次间冰期间,东亚夏季风增强、降水增多。本研究利用地球系统模式EC-Earth模拟了末次间冰期127 ka时期的气候,通过和工业革命前的气候模拟控制试验做比对,分析了127 ka时期由于地球轨道参数变化导致的东亚夏季风的空间变化特征。我们利用了两种EC-Earth的模式配置,即"大气-陆面-海洋-海冰"耦合模式和"大气-陆面-海洋-海冰-动态植被"耦合模式,分别估算轨道强迫和植被反馈对东亚夏季风降水变化的贡献。数值模拟结果表明,地球轨道强迫导致的海陆热力差异使得东亚夏季风系统显著增强并北移西伸,中国中部及华北地区降水增多而东部沿海地区降水减少。耦合了动态植被模式的试验结果表明,127 ka时期温暖湿润的气候致使东亚地区植被增多,植被的蒸腾作用使得地表的感热和潜热通量显著增大,从而增强了局地水循环,使降水进一步增多。植被的反馈作用在原本温暖湿润的华南地区对降水的影响并不显著,但是对相对干旱的我国中部和华北地区降水有显著影响。数值试验结果表明轨道强迫和植被反馈的共同作用能使内陆的四川盆地到华北一带夏季降水增加约40%,其中30%的增加是由于轨道强迫作用,约10%是由于植被反馈。这个研究也提醒我们,要得到更加合理的对过去或未来气候变化的模拟结果,有必要使用耦合动态植被的气候系统模式。

     

浅谈恒河三角洲孟加拉地区软土地基工程特性

恒河三角洲位于南亚孟加拉地区,包括孟加拉国和印度西孟加拉邦,河流注入孟加拉湾。这是世界上最大的一个三角洲,也是世界上最肥沃的区域之一。该地区软土分布较广,厚度较大,土质疏松软弱。软土地基易产生较大的沉降或不均匀沉降,影响工程建筑物的安全。本文主要以孟加拉国达舍尔甘地污水处理厂项目为依托,并结合附近几个项目,对恒河三角洲地区软土地基工程特性进行研究和归纳。     

Nitrogen and phosphorus intake by phytoplankton in the Xiamen Bay

This paper describes a time series experiment examining the nitrogen and phosphorus intake of natural phytoplankton communities by a microcosms approach.Seawater samples containing natural phytoplankton communities were collected from waters around Baozhu Islet in inner Xiamen Bay and around Qingyu Islet in the outer bay.The goal was to elucidate the relationship between phytoplankton population enhancement,the biological removal of nitrogen and phosphorus from the seawater,and the phytoplankton nitrogen an...     

Bacterial productivity in the Prydz Bay and its adjacent waters,Antarctic

1　IntroductionBacteriaandtheiractivitiesplayanimportantroleintheelementalbiogeochemicalcyclesandenergytransformingintheocean (Zhenetal.1 997) .DortchandPackard(1 989) proposedthatfoodwebsintheeutrophicwatersaredominatedbythebiomassofprimaryproducerswhilefoodwebsintheoligotrophicwatersaredominatedbythebiomassofmicrobes.Heterotrophicbacteriahadbeenshowntoplayanimportantroleinthedecompositionoflarge ,rapidlysinkingorganicparticleswithinandbelowtheeuphot iczone ,andfurthertoaffecttheelementaldyn…     

Comparison in diversity of eukaryotic algae in surface sediments from different functional sea areas of Qingdao coast,the Yellow Sea,China: a metabarcoding approach

Journal of Oceanology and Limnology - Surface sediment samples were collected in three different functional sea areas in Qingdao coast, East China, including the inner Jiaozhou Bay, the Laoshan...