Using the Cloud-Aerosol LIDAR with Orthogonal Polarization (CALIOP) orthogonal polarized cloud-aerosol satellite Lidar Level1B data and the LGJ-01 aerosol laser radar data,the vertical distribution of the backscattering coefficient and the depolarization ratio optical parameters of aerosol decay in Yibin the winter of 2016 was comparatively analyzed,in the period of non-pollution,partly cloudy slight pollution and cloudy heavy pollution. The results showed: CALIOP data and LGJ-01 data could detect mid-high altitude clouds without pollution,among which the CALIOP data detected that the altitude of clouds was 3.0-4. 0 km and the range of backscatter was more than The data of LGJ-01 monitored that the altitude of the cloud was 3.0-5.0 km, and its extinction coefficient ranged from 1.0 to 2.0/km. The monitoring results of two lidar were basically the same. Near-surface aerosol layer was detected by CALIOP data in the partly cloudy-free environment with little disturbance and LGJ-01 data. The CALIOP data monitored the concentration of aerosol particles in the range of 0.2- 1.0 km above sea level,the backscattering range was greater than 0.01/(km·sr).The near-surface aerosol layer with a thickness of about 0.2 km was detected by LGJ-01 data and the extinction coefficient was about 2/km. The two laser radar monitoring results were basically the same. In the period of heavy pollution,ground-based laser radar could detect the near-surface aerosol layer well,and astronautic lidar could detect high altitude clouds better. Combined two of them,a comprehensive detection under different weather conditions could be achieved,which might provide more comprehensive and objective observations and research data for the study of the vertical aerosol structure.

为增加径流汇流模型的时效性,提出一种基于图形处理器通用计算的汇流模型.首先,在稳定水源供给的条件下,通过对模型修改和完善生成流域前期水环境.最后,将小时降水数据叠加到前期水环境进行径流汇流模拟得到模拟结果.通过验证发现,模型模拟结果具有更小的水位变化误差,模拟精度进一步提高,模拟速度更快,满足实时计算要求.精度和性能的同时提升,证实汇流模型在流域暴雨洪涝灾害实时评估中具有重要的应用价值.

Online thematic map has become an important GIS data resources owing to its abundant information,low cost and strong time effectiveness. At present,the coordinate system of online map is often adopted when the online map is integrate into other map layers. Because of not considering the projection conversion,it's impossible to display the online map on other map layers with differ-ent coordinate system. On the other hand,it will be time-consuming when all the pixels are projected to determine the pixel value from origin tile map. In order to solve this problem,this paper proposes a method of dynamic coordinate transformation by point-to-point pro-jection. Firstly,transforming the display rectangle to the coordinate system of online map. According to the transformed rectangle,the best display level of tile map and the tile data unit sequence is computed. For each tile unit,the client rectangle is back calculated un-der the display coordinate system which is used to determine the size of memory image of tile map. Then,the value of each pixel of the memory image is found from tiled map. In order to improve the efficiency of calculation,the points are resampled every two pixels in horizontal and vertical directions and bilinear interpolation is used to get the full tile data on the display map. The experimental results show that the method can realize the seamless projection display of online map under the condition of keeping the accuracy and efficien-cy,which has some theoretical significance and practical value.

基于分布式水文模型的径流模拟以像元为单元进行并行计算并逐小时迭代,计算量大,故将OpenCL引入流域径流模拟中,以提高径流模拟效率.由于普通计算机显存有限,面对流域范围大、分辨率高的情况,一般以分块计算方式解决;虽然分块计算能解决显存不足问题,但频繁的显存和内存的数据交换降低了通用计算性能.该文尝试将分布式计算与通用计算相结合,将多台计算机显存资源整合,以避免频繁的显存与内存数据交换.首先将流域数据分为单台计算机能够存储和处理的子块,然后通过网络送至服务器不同的计算机上调用OpenCL计算;每执行完一次径流模拟,服务器相关节点通过网络交换计算后的边缘数据.实验证明,分布式计算和通用计算相结合能快速完成大流域的径流汇流模拟,具有一定的应用价值.