海河流域极端暴雨特征及其天气成因

利用海河流域实测和调查年最大点暴雨、实测大面积暴雨和气象等资料,分析了年极端点暴雨的季节变化、特征和地区分布、大面积暴雨特征以及形成极端暴雨的天气成因,揭示了极端暴雨发生的基本规律。结果表明,流域暴雨9成以上集中在7~8月,极端暴雨7成高度集中在7月下旬到8月上旬;极端暴雨集中分布在太行山~燕山山脉的迎风山区;短历时小面积极端暴雨则分布在高原区;极端暴雨的年际变率迎风山区最大,平原和高原区较小;流域性极端暴雨高空环流多为经向型,通过中纬度西风槽、副热带高压或台风等天气系统以及迎风山区地形抬升作用共同造成。     

大别山造山带前陆深地震反射剖面

在大别山南部和扬子地块前陆实施的深地震反射剖面(140 km)揭示出大别山造山带前陆地壳的精细结构。总体北倾的地壳内部结构与向北缓倾的叠瓦状莫霍面反射揭示出扬子陆块向北俯冲的行迹。莫霍面向北插入大别山造山带下与南大别山地壳内南倾反射震相叠置,构成交叉反射图像,刻画出扬子前陆与大别山造山带的碰撞构造面貌。     

新疆草地气候生产潜力变化特征及对气候响应的预测研究

基于新疆地区52个气象站点1959-2008年逐月气温、降水资料,利用Miami模型和Thornthwaite Memorial模型、线性趋势线、ArcGIS反距离权重插值等方法,对新疆草地生产潜力的时空变化特征进行分析。结果表明,近50 a来,新疆草地温度、降水、蒸散生产潜力均表现为显著增加,且四季和生长季各生产潜力也呈线性增加,夏季和生长季增幅最大,其次,草地生产潜力以及增幅均表现为北疆高于南疆,基本为由南向北递增,并和多年平均降水量变化一致。其中,水分条件是影响新疆草地生产潜力的主导因素。根据二元一次线性回归方程计算得出,年平均气温每升高/降低1 ℃,草地的年气候生产力增加/减少17.309 kg·hm-2·a-1,年降水量每增加/减少1 mm,草地的年气候生产力增加/减少24.392 kg·hm-2·a-1。     

旅游核心区与边缘区协同发展研究——以广东省为例

引入"核心-边缘结构"理论分析了广东省目前所形成的旅游区域结构,得出广东旅游发展存在着明显的"核心-边缘结构"特征:珠三角作为旅游核心区的地位和作用形成已久;相对而言,粤东西两翼与粤北山区就成了旅游边缘区.推进全省旅游全面深入发展,应协同好珠三角与两翼、山区之间的战略关系.提出了推动核心区与边缘区协同发展的几点战略措施.     

风廓线雷达大气风场观测误差分析

依据风廓线雷达工作原理和风的计算公式,分析影响大气风场观测误差的主要因素,重点分析了雷达回波SNR对风的观测精度影响和GPS探空对比试验。结果表明:①风速观测精度主要取决于波束倾角、雷达技术参数和大气折射率结构常数C2n的垂直分布;风速及风速观测精度越大,风向观测精度越大。②在同种观测模式下,波束倾角与C2n越大,风场观测精度越高。③同一观测模式的SNR越大,风速观测误差越小;不同模式间的大气风场观测精度相差较大。④对比试验的风速风向相关性较好,但相对偏差较大,尤其低空更为明显。     

THE RELATIONSHIP OF THE PRECEDING WINTER MJO ACTIVITIES AND THE SUMMER PRECIPITATION IN YANGTZE-HUAIHE RIVER BASIN OF CHINA

The first two series(RMM1 and RMM2) of RMM Index(all-Season Real-time Multivariate MJO Index) are computed to obtain the interannual variation of the preceding winter(preceding December to current February) MJO strength,according to which active(or inactive) years of preceding winter MJO are divided.By utilizing the data provided by NCEP/NCAR,CMAP and China’s 160 stations from 1979 to 2008,we studied the preceding winter MJO strength and discovered that the summer precipitation in the basin are of significantly negative correlation,i.e.when the preceding winter MJO is relatively active,the summer precipitation in the basin decreases,and vise verse.We also analyzed the causes.When the preceding winter MJO is relatively active,its release of potential heat facilities Inter-Tropical Convergence Zone(ITCZ) to strengthen and locate northward in winter and propagate northeastward.This abnormal situation lasts from winter to summer.In mid-May,ITCZ jumps northward to the South China Sea,the western Pacific subtropical high withdraws eastward,and the South China Sea summer monsoon sets off and strengthens.In summer,ITCZ propagates to South China Sea-subtropical western Pacific,the zonal circulation of subtropical Pacific strengthens,and a local meridional circulation of the South China Sea to the basin area forms,giving rise to the East Asia Pacific teleconnection wave-train.An East Asian monsoon trough and the Meiyu front show opposite features from south to north,the East Asian summer monsoon strengthens and advances northward.As a result,the summer monsoon is weakened as the basin is controlled by the subtropical high continually,with less rain in summer.On the contrary,when the preceding winter MJO is inactive,ITCZ weakens and is located southward,the subtropical high is located southward in summer,and the basin is in a region of ascending airflow with prevailing southwest wind.The East Asian monsoon trough and EASM weaken so that summer monsoon is reduced in the basin where precipitation increases.     

石家庄地区反射率因子垂直廓线特征分析

利用自动雨量计数据整理成的10 min一次的雨量资料和s波段多普勒天气雷达体积扫描强度数据,对石家庄地区2004～2007年4次天气过程的实时雷达反射率因子垂直廓线的特征进行了分析.结果表明:层状云和混合性降水反射率因子垂直廓线有明显的零度层亮带;短时强降水过程的反射率因子垂直廓线不存在零度层亮带.冰雹过程中反射率凼子垂直廓线变化较大,降雹前反射率因子的极大值在中上层,降雹发生时反射率因子的极大值高度下降,降雹后反射率因子的极大值减弱.降雪过程的反射率因子垂直廓线零度层亮带不明显.在石家庄西部山区,由于零度层亮带的影响.对层状云和混合性降水回波强度和降水量估计偏高.对短时强降水过程的地面降水估计用反射率因子垂直廓线的方法比最低仰角法更加准确,在均匀性降水中可较好地改善地面雨量估算结果,有利于在山区和无雨量计的地区判断强对流天气的发生、发展和估算降水量的大小.     

榆林市地质灾害气象预报方法初探

统计分析1985—2007年榆林市地质灾害资料及对应的降水资料,初步揭示了榆林市地质灾害规律及地质灾害发生与降水的关系。结果表明:地质灾害与前10天降水量有明显的相关性。建立基于日综合雨量预测地质灾害的预报模型,确立了榆林地质灾害等级预报的降水指标,对榆林市地质灾害预报预警有一定的参考价值。     

基于MODIS数据的水稻种植面积提取研究进展

概述了水稻种植面积监测遥感数据源的应用变化、特征指数和时相选取以及遥感分类方法的发展,分析了MODIS影像在水稻种植面积遥感提取技术方面的研究进展及发展方向。结果表明：MODIS具有高光谱、高时间分辨率、多时相等特点,在大尺度上提取水稻种植面积上,可提高作物识别和监测的精确度与工作效率,节约成本,有着其他遥感数据无法相比的优势,应用MODIS数据提取水稻种植面积,取得了较好的效果。水稻遥感的最佳时相可以选择移栽期和孕穗期,利用对水体和植被较为敏感的波段或植被指数（如NDVI、LSWI和EVI）进行水稻识别,并提取种植面积。传统的遥感图像分类方法如监督分类和非监督分类,算法成熟、操作简单,是目前应用较多的方法;近年来发展起来的分类新方法,如决策树分类法、专家系统分类法、神经网络分类法,支持向量机法等,能够更准确地提取目标地物,对图像分类有不同程度的改进,在实际应用中通常和传统分类方法结合起来使用;多时相分析法与高时间、高分辨率多光谱影像的结合可以获取较高精度的作物种植面积数据,与传统分类方法相比有较大提高。利用MODIS对单一的或大面积的水稻种植面积提取效果较好,但对于地块破碎的种植面积估算尚难达到满意的结果,添加其他的辅佐数据如高程、坡度等,并结合MODIS数据的多时相特点分类等方法,可提高遥感影像分类的精度。     

Carbon pools and fluxes in the China Seas and adjacent oceans

The China Seas include the South China Sea, East China Sea, Yellow Sea, and Bohai Sea. Located off the Northwestern Pacific margin, covering 4700000 km~2 from tropical to northern temperate zones, and including a variety of continental margins/basins and depths, the China Seas provide typical cases for carbon budget studies. The South China Sea being a deep basin and part of the Western Pacific Warm Pool is characterized by oceanic features; the East China Sea with a wide continental shelf, enormous terrestrial discharges and open margins to the West Pacific, is featured by strong cross-shelf materials transport; the Yellow Sea is featured by the confluence of cold and warm waters; and the Bohai Sea is a shallow semiclosed gulf with strong impacts of human activities. Three large rivers, the Yangtze River, Yellow River, and Pearl River, flow into the East China Sea, the Bohai Sea, and the South China Sea, respectively. The Kuroshio Current at the outer margin of the Chinese continental shelf is one of the two major western boundary currents of the world oceans and its strength and position directly affect the regional climate of China. These characteristics make the China Seas a typical case of marginal seas to study carbon storage and fluxes. This paper systematically analyzes the literature data on the carbon pools and fluxes of the Bohai Sea,Yellow Sea, East China Sea, and South China Sea, including different interfaces(land-sea, sea-air, sediment-water, and marginal sea-open ocean) and different ecosystems(mangroves, wetland, seagrass beds, macroalgae mariculture, coral reefs, euphotic zones, and water column). Among the four seas, the Bohai Sea and South China Sea are acting as CO_2 sources, releasing about0.22 and 13.86–33.60 Tg C yr~(-1) into the atmosphere, respectively, whereas the Yellow Sea and East China Sea are acting as carbon sinks, absorbing about 1.15 and 6.92–23.30 Tg C yr~(-1) of atmospheric CO_2, respectively. Overall, if only the CO_2 exchange at the sea-air interface is considered, the Chinese marginal seas appear to be a source of atmospheric CO_2, with a net release of 6.01–9.33 Tg C yr~(-1), mainly from the inputs of rivers and adjacent oceans. The riverine dissolved inorganic carbon (DIC) input into the Bohai Sea and Yellow Sea, East China Sea, and South China Sea are 5.04, 14.60, and 40.14 Tg C yr~(-1),respectively. The DIC input from adjacent oceans is as high as 144.81 Tg C yr~(-1), significantly exceeding the carbon released from the seas to the atmosphere. In terms of output, the depositional fluxes of organic carbon in the Bohai Sea, Yellow Sea, East China Sea, and South China Sea are 2.00, 3.60, 7.40, and 5.92 Tg C yr~(-1), respectively. The fluxes of organic carbon from the East China Sea and South China Sea to the adjacent oceans are 15.25–36.70 and 43.93 Tg C yr~(-1), respectively. The annual carbon storage of mangroves, wetlands, and seagrass in Chinese coastal waters is 0.36–1.75 Tg C yr~(-1), with a dissolved organic carbon(DOC) output from seagrass beds of up to 0.59 Tg C yr~(-1). Removable organic carbon flux by Chinese macroalgae mariculture account for 0.68 Tg C yr~(-1) and the associated POC depositional and DOC releasing fluxes are 0.14 and 0.82 Tg C yr~(-1), respectively. Thus, in total, the annual output of organic carbon, which is mainly DOC, in the China Seas is 81.72–104.56 Tg C yr~(-1). The DOC efflux from the East China Sea to the adjacent oceans is 15.00–35.00 Tg C yr~(-1). The DOC efflux from the South China Sea is 31.39 Tg C yr~(-1). Although the marginal China Seas seem to be a source of atmospheric CO_2 based on the CO_2 flux at the sea-air interface, the combined effects of the riverine input in the area, oceanic input, depositional export,and microbial carbon pump(DOC conversion and output) indicate that the China Seas represent an important carbon storage area.