Determining the source of dust storms with use of coupling WRF and HYSPLIT models: A case study of Yazd province in central desert of Iran

Dust storm, which has a significant impact on regional air quality, is one of the most hazardous meteorological phenomena in the arid areas. Yazd province is one of the arid areas in Iran that is exposed to dust storms. In this study, two cases of dust storms of Yazd province are studied with the use of coupling numerical models and aerosol optical depth (AOD) from MODIS data. We investigated synoptic condition of such dust storms that were formed downstream of upper level through in the area by focusing on two storms, on May 24 and 25, 2014. For this purpose, a dynamic coupling of this case is done using WRF output the HYSPLIT model. This model was implemented to investigate the sources of the dust storms by calculating the back trajectories from the receptor sites. The trajectories indicated that the first and the second case storms occurred in the northeast and the south of Yazd respectively. These results also showed a good agreement with MODIS aerosol optical depth data and HYSPLIT back trajectories paths.     

Spectrum of Fluctuations of Solar Noise Storms

The calculation of the Fourier transform of noise storm (NS) fluctuations showed that the power spectrum was adequately described by the expression G(F)∼1/F. Our results rule out the possibility that NS radiation is formed from random, short-term bursts (so-called type I bursts), since the spectrum of the sum of random short fluctuations is flat, but the real NS has a hyperbolic spectrum. This spectrum is monotonic and does not contain any components that exceed the level of the statistical fluctuations (i.e., the results of observations do not reveal the presence of periodic or resonant properties of the emission source). The hyperbolic shape of the spectrum shows that the main energy of a NS is contained in the slower temporal fluctuations.     

Influence of Land Use/Cover Change on Storm Runoff— A Case Study of Xitiaoxi River Basin in Upstream of Taihu Lake Watershed

Land use/cover change (LUCC) is one of the main boundary conditions which influence many hydrologic processes. In view of the importance of Taihu Lake Watershed in China and the urgency of discovering the impacts of LUCC on storm runoff, two flood events under five land cover scenarios in the Xitiaoxi River Basin of the upstream of Taihu Lake watershed were simulated by distributed hydrologic modeling system HEC-HMS. The influences of each land cover on storm runoff were discussed. It was concluded that under the same rainstorm the ascending order of runoff coefficient and peak flow produced by the 5 different land covers were woodland, shrub, grassland, arable land, and built-up land; the descending order of swelling time were woodland, shrub, grassland, arable land, and built-up land. Scenario of built-up land was the first to reach peak flow, then arable land, grassland, shrub, and woodland. There were close relationships between the runoff coefficients produced by the 5 different land covers. The degrees of impacts on runoff coefficient of land cover change modes were sorted by descending: woodland to built-up land, shrub to built-up land, grassland to built-up land, arable land to built-up land, woodland to arable land, shrub to arable land, arable land to grassland, shrub to grassland, grassland to arable land, and woodland to shrub. Urbanization will contribute to flood disaster, while forestation will mitigate flood disaster.     

Impacts of Two Ice Parameterization Schemes on the Cloud Microphysical Processes and Precipitation of a Severe Storm in Northern China

A severe storm that occurred over Beijing in northern China on 23 June 2011 was simulated with two different ice crystal parameterization schemes(the DeMott scheme and Meyers scheme) by using the Regional Atmospheric Modeling System. Compared with the DeMott scheme, the simulation results with the Meyers scheme have the following characteristics:(1) Updrafts are stronger and more numerous;(2) The cloud is better organized and contains a greater peak of ice-phase hydrometeor mixing ratios;(3) Cloud water and hail mixing ratios increase while graupel mixing ratios decrease;(4) The surface precipitation is initially greater. However, at the end of the simulation, less precipitation is produced. In short, the differences between the two schemes are not obvious, but the De Mott scheme has a relatively more reasonable result.     

低温雨雪过程的粒子群-神经网络预报模型

利用逐日气温和降水量数据、NCEP/NCAR再分析资料以及预报场资料,通过分析提取我国南方区域持续性低温雨雪过程及其预报因子,使用粒子群-神经网络方法建立非线性的统计集合预报模型 (PSONN-EPM),对我国南方区域持续性低温雨雪过程进行预报试验。结果表明:以过程的冷湿程度及影响范围为标准,将低温雨雪过程分为一般过程和严重过程,并建立不同的预报模型效果较好。通过10 d独立样本预报试验看,基于粒子群-神经网络方法建立的集合预报模型比基于逐步回归方法建立的预报模型的预报平均相对误差小,对严重过程预报能力高于对一般过程预报,且这种非线性统计集合建模方法在建模过程中不需要调整神经网络参数,在实际预报业务中值得尝试。     

OBJECTIVE CLASSIFICATION OF THE TRACKS OF TROPICAL STORMS IN THE BAY OF BENGAL

An objective analysis of tropical cyclone tracks is performed, with which the tracks of 131 tropical storms (TSs) in 1972-2011 are separated into three types that move west-, north- and northwestward, denoted as Types A, B and C, respectively. Type A (21 TSs and 16% of total) has the origin in the southwestern Bay of Bengal, with the TS in a unimodal distribution as its seasonal feature, occurring mainly in autumn; 18 of the 21 TSs (taking up 90%) land mostly on the western Bay coast (west of 85°E); 5% of Type-A TSs attains the wind speed of >42.7 to 48.9 m/s. Type A has little or no effect on Tibet. Type B (74 TSs, 56.6% of the total) has its preferable origin in the central Bay of Bengal, with the TS in a bimodal distribution as its seasonal pattern. This type denotes the travel in the north in spring, with the landfall of 67 of the 74 TSs (accounting for 91%) mainly on the middle coast of the Bay (85° to 95°E), and 19% of the TSs reaching the wind velocity of >42.7 to 48.9 m/s, which exert great effect on Tibet and it is this TS track that gives strong precipitation on its way through this region. Type C (36 TSs, 27.5% of the total) has its main origin in the southern part of the bay, and these TSs are formed largely in autumn, moving in the northwest direction, and 23 of the 36 TSs (64%) land mostly on the western Bay coast, lasting for a longer time, with almost no impact upon Tibet.     

城市非点源污染管理的制度、信息和决策支撑

城市非点源污染对中国水环境的威胁日益加剧。制度不健全、信息基础薄弱和缺少决策支撑是当前城市非点源污染管理的主要制约因素。短期内,改善城市非点源污染管理的首要任务是夯实信息基础。从长远来看,制度的完善是落实城市非点源污染管理的根本保障。发达国家在信息基础建设和制度设计方面的成果和经验对于中国城市非点源污染管理工作有重要的参考价值。此外,先进的决策支撑技术是管理获得预期成效的重要保障。国际上决策支撑技术研究的最新发展动态值得国内相关领域借鉴。     

鄂尔多斯盆地柳林地区下奥陶统冶里组竹叶状石灰岩的沉积环境和成因机制

鄂尔多斯盆地柳林地区早奥陶世冶里期沉积以浅灰色中薄层泥质白云岩为主,发育大量竹叶状碳酸盐岩。不同类型的竹叶状碎屑反映了不同的沉积环境。笔者对研究区剖面内的竹叶状碎屑进行分析和研究后认为,竹叶状石灰岩的形成可以分为早期沉积物的形成和早期沉积物的破碎、搬运和再沉积两个阶段。     

铁山湾内天文潮对风暴潮水位的影响研究

作为半封闭狭长海湾,铁山湾受风暴潮灾害的影响较为严重。根据多年观测资料和数值模型对铁山湾内的风暴潮水位特征进行了研究。观测资料表明海湾内风暴潮峰值水位受天文潮相位影响较为显著,然后基于ADCIRC风暴潮模型和1409号“威马逊”台风参数,定量评估了天文潮对风暴潮水位的影响。模拟结果表明当考虑天文潮作用时,会显著提高模拟结果精度,然后通过数值实验研究了风暴潮与不同相位天文潮相互作用时的水位变化特征。数值实验结果表明天文潮-风暴潮相互作用引起的非线性水位在涨潮阶段不明显,在高潮位时非线性水位达到负值最大;在落潮时达到正值最大。风暴潮增水峰值由于受到这种非线性效应的影响,在高潮位时数值最小。海湾内非线性作用要远大于外部,非线性效应越强,总水位峰值相对于天文潮高潮位的延迟时间也就越长。     

海洋风暴沉积的微体生物研究进展

微体生物和它们的化石在研究现代风暴和古风暴沉积方面是一个很好和有效的指标。本文综述了国内外近几十年来有关海洋风暴沉积研究中微体生物的应用。目前主要的研究成果集中在对古风暴层有孔虫、硅藻的研究上,而孢粉方面的研究较少。应用微体化石揭示地质历史时期古风暴的发生频率已较为成熟。但未来需提高古风暴重建的可靠性、准确性和精确性,以及探讨微体化石记录与风暴强度之间的相关关系。有关现代风暴过程中微体生物的研究稍显逊色,研究程度较低。了解现代风暴过程中不同沉积环境下微体生物的沉积特征、面貌,它们的形成和保存机制等将成为未来的研究热点和方向。