遥感信源色彩信号的提取与复现

提出遥感信源色彩信号的提取及复现理论,给出了可操作的技术路线,设计了提取与复现程序,用MODIS(中等分辨率航天成像光谱仪)数据提取并复现了色彩信号,生成了色彩信号图像。未进行大气校正的色彩信号图像等效于太空对地摄影,从图像可看出,地物被笼罩在瑞利散射形成的蓝色“云雾”下。经瑞利散射纠正后的色彩信号图像接近于地面真彩色摄影,非专业人员能根据地物颜色及阴影判读出常见地物。理论可用于遥感信源地面真彩色图像重建、色彩信号不完整信源彩色仿真、航天对地真彩色摄影、信源质量评价。     

Two-step method for the determination of the differential code biases of COMPASS satellites

The differential code bias (DCB) in satellites of the Global Navigation Satellite Systems (GNSS) should be precisely corrected when designing certain applications, such as ionospheric remote sensing, precise point positioning, and time transfer. In the case of COMPASS system, the data used for estimating DCB are currently only available from a very limited number of global monitoring stations. However, the current GPS/GLONASS satellite DCB estimation methods generally require a large amount of geographically well-distributed data for modeling the global ionospheric vertical total electron content (TEC) and are not particularly suitable for current COMPASS use. Moreover, some satellites with unstable DCB (i.e., relatively large scatter) may affect other satellite DCB estimates through the zero-mean reference that is currently imposed on all satellites. In order to overcome the inadequacy of data sources and to reduce the impact of unstable DCB, a new approach, designated IGGDCB, is developed for COMPASS satellite DCB determination. IGG stands for the Institute of Geodesy and Geophysics, which is located in Wuhan, China. In IGGDCB, the ionospheric vertical TEC of each individual station is independently modeled by a generalized triangular series function, and the satellite DCB reference is selected using an iterative DCB elimination process. By comparing GPS satellite DCB estimates calculated by the IGGDCB approach based on only a handful (e.g., seven) of tracking stations against that calculated by the currently existing methods based on hundreds of tracking stations, we are able to demonstrate that the accuracies of the IGGDCB-based DCB estimates perform at the level of about 0.13 and 0.10?ns during periods of high (2001) and low (2009) solar activity, respectively. The iterative method for DCB reference selection is verified by statistical tests that take into account the day-to-day scatter and the duration that the satellites have spent in orbit. The results show that the impact of satellites with unstable DCB can be considerably reduced using the IGGDCB method. It is also confirmed that IGGDCB is not only specifically valid for COMPASS but also for all other GNSS.     

1959-2008年广西西江流域洪涝气候特征

 利用1959-2008年西江流域气象测站降水资料、西江干流及其支流年最高水位资料,建立逐年洪涝发生站次序列,并分析其时空特征和演变规律。结果表明：西江干流发生洪涝的频率比各支流大,各支流的中下游发生洪涝频率比上游大;西江流域洪涝的发生站次具有较显著的阶段性和突变性特征,主要突变发生在1967年和1993年;近16 a洪涝发生频率显著偏多,流域性大洪涝基本集中在这一时期。了解西江流域洪涝变化的规律,有利于提高洪涝灾害评估和预测水平,为防灾减灾提供科学依据。     

Transport of waste heat from a nuclear power plant into coastal water

A numerical and experimental modeling is presented for studying the transport of waste heat from a nuclear power plant into coastal water by using a full-field physical model with scale distortion, a local physical model with normal scale and a depth-averaged k− turbulence model with a modified second-order upwind scheme. Field investigations are also used to provide the calibration and validation of the modeling. A case study simulating the turbulent tidal flow and waste heat transport in the coastal water near Daya Bay Nuclear Power Plant in Southern China was conducted. The experimental result of the case study shows that the water temperature in coastal water was a little oversimulated near the surface and was a little undersimulated near the bottom of heated-water layer by the full-field physical model. The numerical study shows that the depth-averaged k− turbulence model presented a satisfied prediction of turbulent tidal flow and far-field temperature distribution in coastal water, although the near-field stratification due to the heated water effluent was not accounted for. The result of the effect of scale distortion on physical model shows that a full-field physical model with a scale distortion of 10 produced a satisfied result of temperature distribution in the present case study.     

新疆植被变化特征及其对降水的响应分析

针对植被对降水响应分析的多为年际尺度且多用气候影响因子分析的问题,本文提出了一种年际与季节性相结合的时间尺度、气候与土壤因子并重的空间相关性分析法.该方法从降水的季节性规律、植被的物候期角度研究植被的年际、季节性空间变化特征,实现了不同时间尺度、空间尺度上植被变化对降水过程的响应情况的分析研究.研究表明:从季节和年际尺...     

A new approach to GPS ambiguity decorrelation

Ambiguity decorrelation is a useful technique for rapid integer ambiguity fixing. It plays an important role in the least-squares ambiguity decorrelation adjustment (Lambda) method. An approach to multi-dimension ambiguity decorrelation is proposed by the introduction of a new concept: united ambiguity decorrelation. It is found that united ambiguity decorrelation can provide a rapid and effective route to ambiguity decorrelation. An approach to united ambiguity decorrelation, the HL process, is described in detail. The HL process performs very well in high-dimension ambiguity decorrelation tests. Received: 9 March 1998 / Accepted: 1 June 1999     

地震活动中短期预测指标研究及其应用

在研究应用模糊地震学和统计地震学某些方法的基础上,通过实际预报检验,对一些中短期预报较好的方法,如地震活动平静异常μｑ值,自相似从属函数μｓ值,自助统计方差σ值进行深入研究,探索孕震后期地震活动图像演化特征。     

基于土地利用方式的巢湖流域氮排放情景模拟

土地利用方式及其转移对区域氮素迁移和水体氮负荷产生重要影响,但量化自然发展、耕地保护和生态保护等多情景下土地利用方式氮排放时空变化特征,揭示流域水体氮负荷对土地利用变化的响应机制仍面临挑战。本研究以巢湖流域为研究区,通过遥感解译多时相土地利用类型数据,借助PLUS和InVEST模型探索不同情景下氮排放对各土地利用类型变化的响应机制。结果表明:(1)2000—2020年期间,巢湖流域建设用地面积的增加(626.14 km²)主要占据的是耕地(减少了775.64 km²),城市化建设成为土地利用方式变化的主要驱动力;(2)PLUS模型多情景预测结果显示:2020—2030年间土地利用变化特征与2000—2020年基本保持一致,但各用地间的转换频率降低;(3)经InVEST模拟,耕地面积缩减而导致氮排放的减少量(340.17 t)大于建设用地等面积增加带来的氮排放增加量(170.11 t),使2000—2020年间巢湖流域土地利用所排放的总氮量呈降低趋势,由2000年的4768.04 t降至2020年的4597.98 t;(4)不同情景下,2030年各土地利用方式的氮排放量较2020年均呈降低趋势。其中,生态保护情景既有效地保障了巢湖流域生态功能又展现出较好的氮减排效果(113.36 t);鉴于此,建议流域管理部门应通过合理规划各用地类型的发展,严格控制建设用地对林草地、水域等生态用地的侵占,以期削减流域水体氮负荷、缓解氮素治理压力。     

山西夏县台热水井水氡异常特征与地震的关系初探

为弄清山西夏县中心地震台水氡震前异常的原因 ,对山西夏县中心地震台热水井水氡 1984年以来的观测资料用概率论的数据处理方法进行了处理 ,以负异常的发震原理进行了分析 ,结果表明震前负异常的发震概率为 70 %。