An Operational Precipitable Water Vapor Retrieval Algorithm for Fengyun-2F/VISSR Using a Modified Three-Band Physical Split-Window Method

The Visible and Infrared Spin-Scan Radiometer(VISSR) onboard the Fengyun-2(FY-2) satellite can provide valuable thermal infrared observations to help create a precipitable water vapor(PWV) product with high spatial and temporal resolutions. The current FY-2/VISSR PWV product in operation is produced by using a traditional two-band physical split-window(PSW) method, which produces low quality results under dry atmospheric conditions. Based on the sensitivity characteristics of FY-2 F/VISSR water vapor channel and two split-window channels to atmospheric water vapor, this study developed a new, robust operational PWV retrieval algorithm for FY-2 F to improve the operational precision of the current PWV product. The algorithm uses a modified three-band PSW method, which adds a scale for the water vapor channel in the improved three-band PSW method. Integrated PWV products from the radiosonde data in 2016 are used here to validate the precision of the PWV retrieved by the modified three-band and traditional two-band PSW methods. The mean bias, root mean square error(RMSE), and correlation coefficient of the PWV retrieved by the modified three-band PSW method are 0.28 mm, 4.53 mm, and 0.969, respectively. The accuracy is much better than the PWV retrieved by the two-band method, whose mean bias, RMSE, and correlation coefficient are 12.67 mm, 29.35 mm, and 0.23. Especially, in mid-or high-latitude regions, the RMSE of the PWV is improved from 10 to 2 mm by changing the inversion in the two-band method to the modified three-band PSW method. Furthermore, the modified three-band PSW results show a better consistency with the radiosonde PWV at any zonal belt and season than the two-band PSW results. This new algorithm could significantly improve the quality of the current FY-2 F/VISSR PWV product, especially at sites where the actual PWV are lower than 15 mm.     

白天和夜间通用的卫星遥感沙尘判识算法构建与验证分析

Himawari-8是日本发射的新一代静止气象卫星,与前一代的MTSAT-2相比,在时间、空间分辨率上都有了很大提升,特别是红外通道数量从4个增至10个,为红外遥感沙尘提供了新的观测数据。本研究利用Himawari-8的红外观测数据,发展了仅用红外通道的沙尘全天候判识算法,可以实现对白天和夜间的连续监测。算法在前人基础上去除了可见光通道,同时引入更多红外通道来进行云检测和沙尘判识。由于一日之中,地表温度发生变化,因此针对白天和夜间设置了两套不同的判别阈值,来保证算法的全天适用性。最后通过两次沙尘事件对沙尘判别结果的分析和检验表明,遥感判识结果与地面气象站和PM_(10)观测较为一致,说明了只用红外通道全天候判识沙尘的可行性。     

地理信息系统安全设计

针对地理信息系统的安全隐患,从地理信息系统安全的结构层次分析入手,从网络安全、系统安全、数据安全和用户权限四个方面提出了解决地理信息系统安全隐患的策略。     

山东半岛北部近海海域北西向蓬莱-威海断裂带的声波探测

在山东半岛北部近海海域进行了多条剖面的声波探测,初步查明了蓬莱－威海断裂带的基本活动特征.该断裂带由一系列北西走向的次级断层组成,主体在长岛至大竹岛之间的海域,多数断层以正断兼有走滑运动为主,部分断层具有逆冲运动性质.断裂带在第四纪活动明显,以北东向桃村-东陡山断裂在海域的延伸段为界,蓬莱-威海断裂带可分为两段：长岛-烟台段和烟台-威海段.西段长岛-烟台段为晚更新世活动段,多数次级断层上断点埋深位于海底以下30m,明显错断了中更新世地层,部分断层明显错断了晚更新世早期地层,有些断层达到晚更新世地层中部,但没有发现全新世地层错动现象.东段烟台-威海段为中更新世活动段,没有发现晚更新世地层错断现象.蓬莱-威海断裂带对历史地震和现代小震活动具有明显控制作用,其中1548年7级地震发生于断裂带西段,1948年6级地震发生于断裂带东段.蓬莱-威海断裂带与北东向断裂交汇区是中强地震发生的有利部位.     

柯坪塔格断裂西段古地震初步研究

柯坪塔格断裂位于西南天山柯坪塔格推覆构造的最前缘,以皮羌断裂为界分成东西两段。在柯坪塔格断裂西段开挖了6个规模较大的探槽,6个探槽都揭露出断层,但其中3个探槽的古地震事件不清晰,另外3个探槽有古地震遗迹。通过分析研究,共确定了全新世以来的4次古地震事件:第1次古地震事件发生于距今约12ka,第2次事件发生于距今约8·6ka,第3次事件大致发生于距今约5ka,第4次事件发生于距今(1·73±0.15)ka以来,很可能是1961年西克尔6·8级地震。这4次古地震事件具有约3~5ka的准周期重复特征。天山南麓有5~6排推覆体,每排推覆体的前缘都发育活动逆断裂,它们向下收敛于寒武系底部的滑脱面,因此,天山南麓的地震破裂非常复杂,这4次古地震事件的震级、发震构造等问题都有待于今后的深入研究     

基于WRF模式的云南短时强降水物理量特征

为了解云南短时强降水发生前本地化中尺度WRF(Weather Research Forecast)模式输出结果的物理量特征及其对短时强降水预报的作用,使用WRF模式对2016年云南主汛期(6—8月)5次短时强降水过程进行模拟,利用模式输出的高时空分辨率资料计算5次过程中85个样本在短时强降水发生前6 h水汽类、动力类及不稳定条件类的部分物理量值,使用箱线图分析各物理量的分布特征及其与短时强降水的关系,应用经验累积分布函数图确定各物理量的阈值。研究表明,水汽类物理量样本数据值分布较为集中,随着短时强降水的临近数值逐渐增大;动力类的6 km垂直风切变中位数值及平均值随时间变化很小,所有时次的6 km垂直风切变阈值均低于12 m/s,表明短时强降水发生前有弱垂直风切变;不稳定条件类中对流有效位能样本数据的离散程度较大,对短时强降水无指示意义;LI指数、K指数和700 hPa假相当位温样本数据离散度较小,其中K指数中位数值、平均值及阈值的上下限在短时强降水发生前1 h有显著增大的特征,且数据集中度达到最高,大的K指数值与短时强降水有较好的对应关系。使用物理量阈值推算短时强降水落点的方法对云南本地化WRF模式短时强降水的预报性能有改进作用。     

鄱阳湖水面蒸发量的计算与变化趋势分析(1955-2004年)

利用器测折算法与气候模式法,分别计算鄱阳湖周围康山、棠荫、都昌、星子、湖口5站的单站水面蒸发量,以5站两种方法计算值的平均值代表鄱阳湖大湖面的水面蒸发量,求得鄱阳湖1955-2004年各月的水面蒸发量和蒸发水量,结果为：多年平均年蒸发量1081．2 mm．年蒸发水量27．06×10~8 m~3．对年、月水面蒸发量在近50年来的变化趋势进行了分析,表明除5月份外,其他各月蒸发量和年蒸发量均呈逐渐减少趋势,年蒸发量平均每年减小2．79 mm,年蒸发水量平均减少0．05×10~8 m~3,对湖区水资源持续利用和湖泊环境将产生明显影响．对水面蒸发量递减原因进行了初步探讨．     

重庆市夏季电力气象用户需求分析

【目的】面对日益增加的夏季电力气象服务用户需求和激烈的市场竞争,必须明确用户需求的优先顺序,为有序改善产品提供参考。【方法】利用Kano模型,通过问卷调查的方式收集了受试者对各项需求点的反馈,并计算B系数和W系数,绘制B-W象限图,得到17个需求点的需求类型和优先级排序。【结果】17个需求点可分为基本型（6个,35%）、期望型（4个,24%）、魅力型（4个,24%）和无差异型（3个,18%）4种类型。基本型最多,无差异型最少,各类型间界限较清晰。各需求点优先级顺序较明确,即用户首先要求产品应准时、内容完整和节点透明,其次要求产品应具备较高的准确率和个性化水平,最后要求产品的美观模块化程度便于高效地抽取使用并及时得到专家支持,而产品是否处于商用化阶段和是否有特色的优先级最差。但值得关注的是D16特色产品的需求点被视为魅力型需求的票数高达20票（共50票）,接近归类于魅力型需求（21票）。【结论】应以智能化业务系统建设和提升专家支持服务水平为工作核心来满足用户需求。     

Temporal-Spatial Variation of Surface Suspended Matter and Controlling Factors in the Inner Shelf of the East China Sea in Winter

Based on the observed surface suspended matter in the East China Sea in February 2007 and June 2015, an empirical model was established using L1 b's band 4 data to retrieve surface suspended matter from the Moderate Resolution Imagine Spectroradiometer Terra imagery. The squared correlation coefficient is 0.8358, and the root mean square error is 0.4285 mg L-1. The model reflects the distribution characteristics of surface suspended matter in the inner shelf of the East China Sea. In this paper, the satellite images of the study area were retrieved in January from 2001 to 2015, and the monthly distribution of surface suspended matter were obtained. The inter-annual distribution of the study area is similar, and the concentration of surface suspended matter is higher near the shore than offshore. A large amount of surface suspended matter is transported southeast under the influence of Zhejiang and Fujian coastal current and Taiwan warm current. Only a small amount of surface suspension can reach the Kuroshio area. The surface suspended matter concentration changes obviously near the estuary because of the effect of differences in the flux of the Yangtze River. Meanwhile, winter monsoon, temperature front, El Ni?o events, and other factors affect the distribution of surface suspended matter in 100 m isobath to coastal water but minimally influence the distribution in 100 m isobath to deep sea.     

Anti-inflammatory and Immunomodulatory Effects of Marine n-3 Polyunsaturated Fatty Acids on Human Health and Diseases

The pharmaceutical effects of n-3 polyunsaturated fatty acids(n-3 PUFAs) as dietary nutrients on human health and diseases have gained much attention and are investigated for decades. Docosahexaenoic acid(DHA), eicosapentaenoic acid(EPA) and docosapentaenoic acid(DPA) are the three major n-3 PUFAs enriched in marine organisms, such as fish, shrimp, algae, and so on. It has been well known that n-3 PUFAs, especially DHA and EPA, are beneficial in reducing the risk of cardiovascular and cerebrovascular diseases. Accumulating evidence suggests that n-3 PUFAs might cure inflammatory diseases through several mechanisms, such as plasma membrane remodeling of lymphocytes, down-regulating pro-inflammatory cytokines, and alternating adhesion molecule expressions. Several molecular targets of n-3 PUFAs on immune-regulation have also been identified, such as GPR120(FFA4), protein kinase C(PKC), and PPAR-γ. However, it remains inconclusive if dietary n-3 PUFAs function the same both in vitro and in vivo based on cohort studies. This review will focus on the molecular targets and mechanisms of anti-inflammatory and immunomodulatory effects of n-3 PUFAs on human health and diseases, such as obesity, tumor, diabetes, and autoimmune diseases.