泌阳凹陷北部斜坡带构造特征及油气圈闭有效性

泌阳凹陷北部斜坡带断裂极为发育，主要发育NE向和NWW向两组正断层。NE向断层断距大，延伸距离远；NWW向断层断距相对较小，延伸较短。斜坡带由于构造破碎，断层发育，圈闭类型多为断块、断鼻及断层 岩性复合型圈闭。因此，对北部斜坡带断层的展布和交切规律的研究，是识别该区圈闭的关键。     

登陆过程中热带风暴"黄蜂"螺旋云带的分析

分析了热带风暴"黄蜂"在登陆过程中逐小时高分辨红外云图上的螺旋云带及其强对流云团的变化规律.从强对流云团发展为主螺旋云带的演变过程中,螺旋云带主要表现为其前端的对流逐渐加强,其余部分逐渐减弱,以及前端的强对流云团总体表现为旋入运动且维持时间较长,而其余部分的云团总体表现为远离中心等的特征.初步探讨了螺旋云带结构变化与风暴强度之间的关系和"黄蜂"在登陆后迅速减弱的可能原因.     

中国贝类养殖对海洋碳循环的贡献评估

造成全球暖化的主要原因是温室气体的过量排放,其中CO2的贡献率达60 %,贝类养殖具有碳沉积作用。依据农业部渔业局编制的《中国渔业统计年签》,以2001年到2010年的年平均产量计算贝类捕获和养殖的碳沉积能力,并评估其碳沉积潜力;计算牡蛎、蛤、扇贝与贻贝四种贝壳单位面积的碳沉积能力并与森林、珊瑚礁的碳沉积能力进行比较分析。本文对我国浅海贝类养殖所具有的碳沉积能力进行评估,以了解贝类养殖对海洋碳循环的贡献,可为争取国家碳份额的合法权益提供基础数据。分析表明我国近十年贝类总产量稳定在1100万吨以上,并有增加的趋势,其中海水养殖贝类约占87.34 %。贝类养殖和捕获总产量的碳沉积和海水养殖产量的碳沉积量分别为58.57、51.15万吨/年,碳沉积能力分别相当于122.28、106.78万公顷的造林,可分别减少大气CO2增加量的0.0125 %、0.0109 %。牡蛎、蛤、扇贝与贻贝的单位面积碳沉积速率分别为1.573、0.388、0.301、1.039吨碳/(公顷?年);牡蛎和贻贝高于森林的碳沉积能力0.479吨碳/(公顷?年);但低于珊瑚礁的碳沉积能力1.8吨碳/(公顷?年)。我国贝类淡、海水养殖产量可分别创造约268.4万元/年、12,711.2万元/年的碳权商机。     

市政污泥真空预压模型试验研究

《城镇污水处理厂污泥处理处置技术规范》[1]执行前,市政污泥往往直接倾倒于填埋场形成污泥库,导致垃圾设计库容显著降低。为恢复填埋场库容,许多填埋场面临污泥库的原位加固处理。通过2组模型试验,探讨真空预压处理污泥的可行性。试验结果表明,真空预压后污泥含水率显著降低,强度提高至2~4 kPa;污泥排水固结系数随预压过程发展表现出非线性;排水板周围污泥含水率和渗透系数降低明显,阻碍离排水板较远处污泥排水固结,因此减少排水板间距可显著提高污泥处理效果;真空预压过程中污泥中孔压变化规律与常规淤泥质土有明显区别,特别是远离排水板的位置孔压消散幅度小,表明污泥中孔压消散规律不符合传统的太沙基固结理论;污泥真空预压过程中,间歇式通正气压会在处理初期阶段加快排水速率,但整体改善作用不明显;真空预压可作为污泥减量化的一种途径,如要满足后续堆载垃圾的要求,还需配合其他原位处理方法进一步提高强度。     

CAUSAL ANALYSIS AND NUMERICAL MODELING OF THE INSHORE INTENSIFICATION OF SUPER TYPHOON “HATO”

This paper comprehensively analyzes the characteristics and cause of the inshore intensification of super typhoon "Hato", the 13 th super typhoon in 2017. The aspects of typhoon structure, evolution of large-scale circulation and physical quantity field are analyzed using observation data from the Guangdong Automatic Station, Shenzhen Doppler Radar data, NCEP 1°×1° reanalysis data, NCEP 0.25°×0.25° sea surface temperature(SST) data, etc.Additionally, in order to investigate the influence of SST change on the intensity of "Hato", the WRF model and ECMWF 0.125°×0.125° reanalysis data are combined to conduct 3 sensitivity tests on"Hato". The results show that the favorable conditions for inshore intensification of "Hato"included the strengthening and westward extension of the subtropical high, continuous increase of low level moisture transport, an anomalous warm SST area north of 20°N in the South China Sea, an extreme divergence value in the northern South China Sea exceeding 6 ×10-5 s-1, and vertical environmental wind shear between 1.1 m/s-4.8 m/s. The intensity of"Hato"was very sensitive to changes in SST. When the SST rose or dropped by 2℃, the minimum central pressure of the typhoon changed by about 13 hPa or 11 hPa,respectively. SST indirectly influenced the intensity of the typhoon through affecting latent heat transport and sensible heat transport.     

THE LIMITATION OF CLOUD-BASE MASS FLUX IN CUMULUS PARAMETERIZATION AND ITS APPLICATION IN A HIGH-RESOLUTION MODEL

A large area of unrealized precipitation is produced with the standard convective parameterization scheme in a high-resolution model, while subgrid-scale convection that cannot be explicitly resolved is omitted without convective parameterization. A modified version of the convection scheme with limited mass flux at cloud base is introduced into a south-China regional high-resolution model to alleviate these problems. A strong convection case and a weak convection case are selected to analyze the influence of limited cloud-base mass flux on precipitation forecast. The sensitivity of different limitation on mass flux at cloud base is also discussed. It is found that using instability energy closure for Simplified Arakawa- Schubert Scheme will produce better precipitation forecast than the primary closure based on quasi-equilibrium assumption. The influence of the convection scheme is dependent on the upper limit of mass flux at cloud base. The total rain amount is not so sensitive to the limitation of mass flux in the strong convection case as in the weak one. From the comparison of two different methods for limiting the cloud-base mass flux, it is found that shutting down the cumulus parameterization scheme completely when the cloud-base mass flux exceeds a given limitation is more suitable for the forecast of precipitation.     

基于层次分析法的拉市海高原湿地生态系统健康评估

 本文以云南省丽江市拉市海高原湿地生态系统核心区为研究区域,利用区域生态系统功能监测指标和自然环境及人文活动因素指标,对拉市海高原湿地生态系统的健康状况进行空间综合评估分析。首先,根据当前生态系统的状况和高原湿地生态系统的特征,结合湿地保护区开展的系列生态系统功能监测项目及其指标,并充分考虑评估模型的系统性、科学性和实际操作的可行性,构建了拉市海高原湿地生态系统健康评价的指标和指标体系。然后,采用层次分析方法(AHP),融合自然综合指标、人文因素指标在内的生态系统健康综合评价模型,确定6级的生态系统健康评估标准;最后,根据空间评价模型和数据资源,对各个指标权重进行分析计算,得出拉市海高原湿地生态系统的健康状况的空间分布。研究结果表明,拉市海高原湿地的生态系统健康状况良好。按照划定的6级标准,其中,稳定区和较稳定区面积9 358.93hm²,占研究区域总面积的61%,脆弱区和较脆弱区面积为6 058.46hm²,占总面积的39%。整个研究区域内不存在很稳定区和极稳定区,这为高原湿地生态系统的综合管理及发展规划提供了依据。     

Raindrop Size Distribution Parameters Retrieved from Xinfeng C-Band Polarimetric Radar Observations

The objective of this research was to acquire a raindrop size distribution (DSDs) retrieved from C-band polarimetric radar observations scheme for the first time in south China.An observation period of the precipitation process was selected,and the shape-slope (μ-Λ) relationship of this region was statistically analyzed using the raindrop sample observations from the two-dimensional video disdrometer (2DVD) at Xinfeng Station,Guangdong Province.Simulated data of the C-band polarimetric radar reflectivity Z_(HH)and differential reflectivity Z_(DR)were obtained through scattering simulation.The simulation data were combined with DSD fitting to determine the Z_(DR)-Λand log_(10)(Z_(HH)/N_0)-Λrelationships.Using Xinfeng C-band polarimetric radar observations Z_(DR)and Z_(HH),the raindrop Gamma size distribution parametersμ,Λ,and N_0were retrieved.A scheme for using C-band polarimetric radar to retrieve the DSDs was developed.This research revealed that during precipitation process,the DSDs obtained using the C-band polarimetric radar retrieval scheme are similar to the 2DVD observations,the precipitation characteristics of rainfall intensity (R),mass-weighted mean diameter (D_m) and intercept parameter (N_w) with time obtained by radar retrieval are basically consistent with the observational results of the 2DVD.This scheme establishes the relationship between the observations of the C-band polarimetric radar and the physical quantities of the numerical model.This method not only can test the prediction of the model data assimilation system on the convective scale and determine error sources,but also can improve the microphysical precipitation processes analysis and radar quantitative precipitation estimation.The present research will facilitate radar data assimilation in the future.     

利用相关性对自动气象站资料进行时空一致性检测

通过对广东省456个自动气象站2003-2005年的逐时资料进行处理,得到滤去天和年周期的温度、变温和1 h降水资料序列,并利用该序列作了滞后1 h自相关和空间相关分析。结果表明,滞后自相关系数含有时间特性,而要素站点空间分布则具有空间特性。选取2006年自动气象站个例,利用空间连续性和时间连续性原理,对气象要素时间滞后自相关系数在空间上的分布特性,进行时间、空间一致性检测,发现使用该方法可以容易地检查出资料缺测率偏高的站点。此外还总结出温度与降水观测资料的质量情况及规律。     

NUMERICAL PREDICTION OF AN EXTREME RAINSTORM OVER THE PEARL RIVER DELTA REGION ON 7 MAY 2017 BASED ON WRF-ENKF

An ensemble Kalman filter based on the Weather Research and Forecasting Model (WRF-EnKF) is used to explore the effectiveness of the assimilation of surface observation data in an extreme local rainstorm over the Pearl River Delta region on 7 May 2017. Before the occurrence of rainstorm, the signals of weather forecasts in this case are too weak to be predicted by numerical weather model, but the surface temperature over the urban area are high. The results of this study show that the wind field, temperature, and water vapor are obviously adjusted by assimilating surface data of 10-m wind, 2-m temperature, and 2-m water vapor mixing ratio at 2300 BST 6 May, especially below the height of 2 km. The southerly wind over the Pearl River Delta region is enhanced, and the convergence of wind over the northern Guangzhou city is also enhanced. Additionally, temperature, water vapor mixing ratio and pseudoequivalent potential temperature are obviously increased over the urban region, providing favorable conditions for the occurrence of heavy precipitation. After assimilation, the predictions of 12-h rainfall amount, temperature, and relative humidity are significantly improved, and the rainfall intensity and distribution in this case can be successfully reproduced. Moreover, sensitivity tests suggest that the assimilation of 2-m temperature is the key to predict this extreme rainfall and just assimilating data of surface wind or water vapor is not workable, implying that urban heat island effect may be an important factor in this extreme rainstorm.