ERAHS: A New Platform for the Exchange of Regional Information and Experience on Agricultural Heritage Systems

<正>There are more than 10000 years of agricultural development history in the world that has provided very fruitful and ingenious traditional knowledge and experiences reflecting the evolution of humanity and the nature.In2002,the Food and Agriculture Organization of the United Nations(FAO)initiated an international partnership initiative of"Conservation and Adaptive Management of Globally Important Agricultural Heritage Systems     

楔形桩与圆柱形桩复合地基承载性状对比研究

基于剪切位移法,引入Mylonakis & Gazetas桩-土相互作用及Winkler地基模型,导出了复合地基中桩-桩、桩-土及土-土相互作用柔度系数;在此基础上,提出了一种综合考虑桩-土-垫层共同作用的复合地基分析方法,并利用Matlab软件编制了相应的计算程序。为了验证该方法的可行性,对楔形桩和圆柱形桩复合地基进行了模型对比试验,并利用该方法对两个模型试验进行了计算分析,试验及理论结果均表明,桩顶平面处的桩间土反力保持着类似天然地基的马鞍形分布,圆柱形桩复合地基的承载力明显低于楔形桩复合地基的承载力,同时,圆柱形桩复合地基的桩土平均应力比明显高于楔形桩复合地基的桩土平均应力比,楔形桩对缓解复合地基中桩顶应力集中,充分利用天然地基的承载能力具有良好的调节作用。     

ENSO对黑潮海区风应力异常影响的初步探讨

利用近50a黑潮海区风应力场与Nino3区海温指数序列进行相关分析后发现,ENSO对黑潮海区经向风应力影响的“关键时段”为秋、冬季至次年初夏时期,对纬向风应力影响的“关键时段”为冬季至次年春季。黑潮海区风应力距平场与赤道中东太平洋SSTA场的扩展SVD分析及相应的合成分析揭示了ENSO期间黑潮海区风应力异常结构的演变：秋季,中国的东海、琉球群岛附近海域首先出现南风应力异常;冬季,吕宋岛以北、台湾以东的海域出现西南风应力异常,其影响范围和强度在次年2月前后达到最强,其后迅速减弱,至5月,风应力异常基本消失。赤道中东太平洋SSTA对黑潮海区经向风应力异常的影响范围较大,强度更显著。     

Experimental study on reduction of U (VI) by an anaerobic bacterium, Shewanella putrefaciens: Application to sandstone-hosted interlayer oxidation-zone type uranium deposits, China

A lot of fossil bacteria and algae, which were re-placed by uraninite ( pitchblende), were first found inthe ores when the authors studied the sandstone-hostedinterlayer oxidation-zone type uranium deposits innorthwest China[1,2]. It is known that a powerful radia-tion from the uranium ores is harmful and, evendeadly to any life, including microorganism. Whatmechanism does this inconceivable fact result from?Up to the present time in China, there has been no ex-perimental investigation on red…     

浙江省"2004·14"号台风暴潮综合分析

“2004·14”号台风是1956年以来登陆我国大陆最强的一次台风,影响范围广、强度强、降雨量大,给浙江省造成了严重灾害。本文对本次强台风特点、形成的暴雨洪水等做了较系统的分析,并与历史强台风进行了比较,对水利工程效益进行了分析。     

一种根据湿对流区域时空分布调整的BGM扰动改进方案

在增长模繁殖法(Breeding of the Growing Mode,BGM)的动态繁殖过程中,尺度化因子的选择极为关键。利用WRF(Weather Research and Forecasting)模式,在分析飑线系统数值模拟误差增长机制的基础上,根据飑线发展过程中湿对流区域误差更容易快速增长的特点,提出了一种根据湿对流区域时空分布调整的BGM初始扰动改进方案。该方案通过在动态繁殖过程中对小扰动的水平结构进行调整,加强湿对流区域扰动,捕获到增长最快方向上的小扰动并将其作为初始扰动。试验结果表明:根据降水量调整的改进方案相比其他方案扰动能量较大,各集合成员之间差异也较大,集合平均预报误差较小;对强降水范围的模拟相对理想,暴雨的降水评分较高;对风廓线及水汽场的预报更接近于实况,较好地改善了集合预报效果。     

0-10 KM TEMPERATURE AND HUMIDITY PROFILES RETRIEVAL FROM GROUND-BASED MICROWAVE RADIOMETER

Deviation exists between measured and simulated microwave radiometer sounding data. The bias results in low-accuracy atmospheric temperature and humidity profiles simulated by Back Propagation artificial neural network models. This paper evaluated a retrieving atmospheric temperature and humidity profiles method by adopting an input data adjustment-based Back Propagation artificial neural networks model. First, the sounding data acquired at a Nanjing meteorological site in June 2014 are inputted into the MonoRTM Radiative transfer model to simulate atmospheric downwelling radiance at the 22 spectral channels from 22.234GHz to 58.8GHz, and we performed a comparison and analysis of the real observed data; an adjustment model for the measured microwave radiometer sounding data was built. Second, we simulated the sounding data of the 22 channels using the sounding data acquired at the site from 2011 to 2013. Based on the simulated rightness temperature data and the sounding data, BP neural network-based models were trained for the retrieval of atmospheric temperature, water vapor density and relative humidity profiles. Finally, we applied the adjustment model to the microwave radiometer sounding data collected in July 2014, generating the corrected data. After that, we inputted the corrected data into the BP neural network regression model to predict the atmospheric temperature, vapor density and relative humidity profile at 58 high levels from 0 to 10 km. We evaluated our model’s effect by comparing its output with the real measured data and the microwave radiometer’s own second-level product. The experiments showed that the inversion model improves atmospheric temperature and humidity profile retrieval accuracy; the atmospheric temperature RMS error is between 1K and 2.0K; the water vapor density’s RMS error is between 0.2 g/m3 and 1.93g/m3; and the relative humidity’s RMS error is between 2.5% and 18.6%.     

格尔木河水质现状及生态风险评估

为了了解经济迅速发展背景下格尔木河流域水体中痕量元素分布、水环境质量现状和生态风险,对格尔木河9个采样点水样21种痕量元素的分布及相关性进行了分析,以Cu、Zn、Hg、Cd、Cr和Pb为目标重金属,评估了格尔木河水质现状及生态风险。结果表明：重金属Pb浓度在所有水样中均低于检出限,其它痕量元素浓度在0.001(Cd) ~ 6297.013(Sr) μg?L&lt;sub&gt;&lt;sup&gt;-1&lt;/sup&gt;&lt;/sub&gt;范围变化。根据相关性分析,推测格尔木河水体中Li、Sc、Ti、V、Cu、Ge、Rb、Sr、Mo、Cd来源可能相同。采样点水样6种重金属浓度均达到地表水环境质量I类的标准。采用5种方法评价了格尔木河水质现状,结果表明研究区水质处于无污染的理想状态。格尔木河重金属引发的潜在生态风险处于低风险水平(生态风险指数变化范围为0.35~0.68)。     

卫星气溶胶光学厚度资料同化对灰霾预报改进个例研究

面对日益严峻的大气污染形势,针对卫星气溶胶光学厚度（AOD）资料在灰霾数值预报领域的合理有效利用问题,使用WRF-Chem（WRF coupled with Chemistry）大气化学模式以及GSI（Gridpoint Statistical Interpolation）三维变分同化系统,利用MODIS和FY-3A/MERSI AOD资料,对一次灰霾天气过程进行了同化预报试验。试验结果显示,同化卫星AOD资料有效改善了模式初始场,MODIS和MERSI同化试验分别在AOD分析场的中心强度和空间分布各具优势,且对PM_2.5和PM₁₀的后续预报改进明显;从统计分析上看,同化试验的预报效果整体上好于控制试验,同化试验中PM_2.5和PM₁₀预报值的平均值、中值、平均偏差、均方根误差等指标均明显优于控制试验,且MODIS和MERSI同化试验分别在PM_2.5和PM₁₀预报统计结果中体现出了优势;卫星AOD资料同化能明显降低污染事件的空报率和漏报率,提高预报的TS评分和ETS评分。不同卫星AOD资料的差异对分析场中AOD的分布和强度产生了相应影响,进而影响了模式的灰霾预报效果;本次试验中,MODIS和MERSI AOD同化试验分别在PM_2.5和PM₁₀预报的评分上表现更佳。结果表明,卫星AOD资料同化对数值预报产生了积极的效果。