天气雷达风暴跟踪信息拼图技术设计与应用

基于天气雷达风暴识别跟踪信息STI（Storm Tracking Information）拼图技术设计与应用,对该技术在江西雷电、雷暴大风、冰雹等强天气监测预警能力进行了分析。结果显示：通过对江西8部天气雷达的STI产品进行雷达算法解码,建立STI数据库,按照雷达拼图时间间隔,从数据库中调入STI数据进行15 min、30 min、45 min和60 min路径显示,形成多部雷达的组合STI产品。组合STI产品弥补了单部雷达的不足,对于判断未来1 h回波的移动方向、移动速度有明显的指示意义。而密集指向区对应于回波未来位置的确定效果更好,考虑到整体移向的修正位置更佳,在多次飑线、冰雹等强天气过程中得到了验证。组合STI产品还有助于识别回波系统,对于多个系统并存的天气过程中有很好的对照价值。密集指向区的出现说明回波系统进入发展旺盛期,密集指向区的消失预示着回波系统明显减弱。     

硫铝酸盐水泥去除微污染水体中磷的性能及机理

微污染湖泊、水库等水体中磷的去除已成为水质研究的主要方向.磷是造成水体富营养化的关键因素,其浓度较低时即可导致水体富营养化与水华的发生,许多除磷方法对低浓度磷的去除效果不佳.因此,我们从22种天然矿物、火山灰质材料和水硬性材料中,筛选出了能高效去除低浓度磷的硫铝酸盐水泥(代号R.SAC 42.5,简称R),该材料在中性...     

"龙王"(LONGWANG)台风过程湿位涡的诊断分析

本文应用MM5V3中尺度数值模式对0519号台风“龙王”过程进行了数值模拟,利用模拟结果计算了台风过程湿位涡(Moist Potential Vorticity,MPV)的演变,从湿位涡的角度研究了台风过程大暴雨的产生机制。结果表明:倾斜涡度发展是“龙王”台风在福建沿海产生大暴雨的重要机制之一,湿位涡能够对暴雨落区的预报有较强的指示性作用,暴雨产生在θse线陡立的对流层中低层MPV1等值线密集带中零线附近,对流层中高层的MPV2负值区可以作为暖湿气流或涡旋活动的示踪;另外,对流层中高层中高纬度冷空气扩散南下与台风的东南暖湿空气在福建沿海交汇,加剧了气旋性涡度发展,对暴雨的发生发展也有巨大的作用。     

雷达拼图资料上中尺度对流系统的跟踪与预报

在中尺度对流系统(Mesoscale Convective Systems,MCSs)自动识别基础上,利用相关法跟踪雷达回波(Tracking Radar Echoes by Cross-correlation,TREC)和面积重叠法完成新的跟踪预报方法.新方法利用TREC得到MCSs移动矢量,利用该矢量外推对应MCSs雷达回波.根据外推回波与相应回波实况,采用面积重叠法完成跟踪,同时利用移动矢量完成预报.采用4次强天气过程对算法进行检验,分析结果表明:(1)新方法能够有效实现MCSs跟踪与预报;(2)新方法得到MCSs移动速度相对稳定,不因为系统合并、分裂和生消出现速度大幅度波动现象,有效减小预报误差,6～60 min预报误差相对于原方法减小20％以上;(3)新方法虽然能提取得到较为稳定的系统移动速度,但不能得到系统的传播速度.原方法能得到系统的移动速度和传播速度合成,但提取速度不稳定,容易受到质心偏移的影响,预报误差较大.新方法在系统消亡期提取移动速度不稳定,导致跟踪丢失现象的发生,而原方法在系统合并与分裂时易出现跟踪丢失现象.     

基于压力-状态-响应模型和多尺度管理的珠海市城市生物多样性恢复指标体系研究（英文）

生物多样性是一个系统性、整体性的概念,存在跨界、多尺度的管理问题。一方面,城市生态系统不是孤立的,而是与相邻城市、行政区相连的生态系统。城市生物多样性研究需要考虑生态系统的连续性。另一方面,城市生物多样性的主动保护和被动恢复策略不应仅由研究人员或市政府机构制定。更重要的是,有必要考虑多级管理部门的真实的生态系统管理问题,并将其纳入压力–状态–响应（PSR）模型。本文以多尺度现场调研和部门座谈的形式,结合遥感数据、土地利用数据、规划文本和图则等,对比分析珠海市生态系统现状、面临压力和应对生态问题的解决方案进行分析并总结出珠海市生态系统恢复的关键指标,以形成完整和更有效的城市生物多样性战略。本文发现,城市生态系统保护的实施效果和不同尺度的管理问题、资金需求等是否得到回应和满足,是否鼓励各利益相关者参与密切相关。不同尺度、不同地区的生态系统是否采取相同的生物多样性战略取决于该地区在全球或区域生态系统中是否具有同等重要性,生态元素是否与其他城市、地区的生态系统相连或者相邻,以及不同尺度多方利益相关者的关切问题是否相同等。     

伴随同化系统中用云导风修正模式地形的试验

以2002年7月23日的天气过程为例,利用中尺度模式MM5伴随模式同化系统,进行了修正模式地形高度的试验研究。结果发现,MM5伴随模式同化系统可以对地形进行修正,并得到与资料更为协调一致的地形高度。另外,利用非常规云导风资料能够比仅使用常规资料更有效地修正模式地形高度。将修正后的地形场作为模式地形,所得的预报结果比未经修正的地形有所改进。     

High-Resolution Records of the Holocene Paleoenvironmental Variation Reflected by Carbonate and Its Isotopic Compositions in Bosten Lake and Response to Glacial Activities

Abstract: The Early Holocene paleoclimate in Bosten Lake on the northern margin of the Tarim Basin, southern Xinjiang, is reconstructed through an analysis of a 953 cm long core (BSTC2000) taken from Bosten Lake. Multiple proxies of this core, including the mineral components of carbonate, carbonate content, stable isotopic compositions of carbonate, Ca/Sr, TOC and C/N and C/S of organic matter, are used to reconstruct the climatic change since 8500 a B.P. The chronology model is made by nine AMS 14C ages of leaves, seeds and organic matter contained in two parallel cores. The climate was cold and wet during 8500 to 8100 a B.P. Temperature increased from 8100 to 6400 a B.P., the climate was warm and humid, and the lake expanded. The lake level was highest during this stage. Then from 6400 to 5100 a B.P., the climate became cold and the lake level decreased slightly. During the late mid-Holocene, the climate was hot and dry from 5100 to 3100 a B.P., but there was a short cold period during 4400 to 3800 a B.P. At this temporal interval, a mass of ice and snow melting water supplied the lake at the early time and made the lake level rise. The second highest lake level stage occurred during 5200 to 3800 a B.P. The climate was cool and wet during 3100 to 2200 a B.P., when the lake expanded with decreasing evaporation. The lake had the last short-term high level during 3100 to 2800 a B.P. After this short high lake level period, the lake shrank because of the long-term lower temperature and reduced water supply. From 2200 to 1200 a B.P., the climate was hot and dry, and the lake shrank greatly. Although the temperature decreased somewhat from 1200 a B.P. to the present, the climate was warm and dry. The lake level began to rise a little again, but it did not reach the river bed altitude of the Konqi River, an outflow river of the Bosten Lake.     

内蒙古河套平原高碘地下水的水文地球化学特征

以内蒙古河套平原西北部的高砷地下水分布区为研究区,通过对区内22组地下水和2组地表水中碘含量的测试和分析可知,研究区地下水中碘含量在27.30～1 638.00μg/L,其中,约50%的地下水样品中碘含量超过我国饮用水的标准限定值150μg/L,约84.6%的高碘地下水为高砷地下水。高碘地下水主要分布于研究区北部地下水水流相对滞缓的平原中心地带,以Cl-Na、Cl·HCO₃-Na和HCO₃·Cl-Na型水为主。研究区地下水中碘的富集有两种机制:浅层地下水的蒸发作用和深部富含有机质的、偏还原的地下水环境中的微生物作用。两种机制相比,后者对地下水中碘的贡献更大些,但前者更普遍些。     

井水位对气压响应的滞后及其机理

通过井口空气压力变化对井水位影响的试验,分析了井水位对空气压力变化响应幅度和滞后时间,认为在相同的井口空气压差情况下,压力变化周期越大,井水位响应幅度也越大,而位相滞后越小。水平层状承压含水层的理论研究表明,井水位对气压响应的滞后时间主要取决于含水层的导水系数和气压变化的周期,这两种参数越大,则滞后时间越小。因此,井水位对气压响应的滞后是由于水压井孔与含水层间渗流需要一定时间造成的,而不是由于地面气压传递到含水层时产生衰减和滞后引起的。     

Three-dimensional Fusion of Spaceborne and Ground Radar Reflectivity Data Using a Neural Network–Based Approach

The spaceborne precipitation radar onboard the Tropical Rainfall Measuring Mission satellite(TRMM PR) can provide good measurement of the vertical structure of reflectivity, while ground radar(GR) has a relatively high horizontal resolution and greater sensitivity. Fusion of TRMM PR and GR reflectivity data may maximize the advantages from both instruments.In this paper, TRMM PR and GR reflectivity data are fused using a neural network(NN)–based approach. The main steps included are: quality control of TRMM PR and GR reflectivity data; spatiotemporal matchup; GR calibration bias correction;conversion of TRMM PR data from Ku to S band; fusion of TRMM PR and GR reflectivity data with an NN method;interpolation of reflectivity data that are below PR's sensitivity; blind areas compensation with a distance weighting–based merging approach; combination of three types of data: data with the NN method, data below PR's sensitivity and data within compensated blind areas. During the NN fusion step, the TRMM PR data are taken as targets of the training NNs, and gridded GR data after horizontal downsampling at different heights are used as the input. The trained NNs are then used to obtain 3D high-resolution reflectivity from the original GR gridded data. After 3 D fusion of the TRMM PR and GR reflectivity data, a more complete and finer-scale 3D radar reflectivity dataset incorporating characteristics from both the TRMM PR and GR observations can be obtained. The fused reflectivity data are evaluated based on a convective precipitation event through comparison with the high resolution TRMM PR and GR data with an interpolation algorithm.