Scaling effects on modeled surface energy-balance components using the NOAH-OSU land surface model

As surface exchange processes are highly non-linear and heterogeneous in space and time, it is important to know the appropriate scale for the reasonable prediction of these exchange processes. For example, the explicit representation of surface variability has been vital in predicting mesoscale weather events such as late-afternoon thunderstorms initiated by latent heat exchanges in mid-latitude regions of the continental United States. This study was undertaken to examine the effects of different spatial scales of input data on modeled fluxes, so as to better understand the resolution needed for accurate modeling. A statistical procedure was followed to select two cells from the Southern Great Plains 1997 hydrology experiment region, each 20 km×20 km, representing the most homogeneous and the most heterogeneous surface conditions (based on soil and vegetation) within the study region. The NOAH-OSU (Oregon State University) Land Surface Model (LSM) was employed to estimate surface energy fluxes. Three scales of study (200 m, 2 and 20 km) were considered in order to investigate the impacts of the aggregation of input data, especially soil and vegetation inputs, on the model output. Model results of net radiation and latent, sensible and ground heat fluxes were compared for the three scales. For the heterogeneous area, the model output at the 20-km resolution showed some differences when compared with the 200-m and 2-km resolutions. This was more pronounced in latent heat (12% decrease), sensible heat (22% increase), and ground heat flux (44% increase) estimation than in net radiation. The scaling effects were much less for the relatively homogeneous land area with 5% increase in sensible heat and 4% decrease in ground heat flux estimation. All of the model outputs for the 2- and 20-km resolutions were in close agreement. The results suggested that, for this study region, soils and vegetation input resolution of about 2 km should be chosen for realistic modeling of surface exchange processes. This resolution was sufficient to capture the effects of sub-grid scale heterogeneity, while avoiding the data and computational difficulties associated with higher spatial resolutions.     

关联度分析法在确定土地定级因素权重中的应用

从关联度分析法的基本原理入手，介绍了应用关联度分析法确定土地定级因素权重的具体方法，探讨了关联度分析法运用于土地定级因素权重确定的可行性。     

数字土地信息系统的集成模式探讨

简述土地管理的特点,分析土地信息系统的组成,具体介绍如何实现数字土地信息系统的集成。     

高原交通干线对土地利用和景观格局的影响——以兰州至格尔木段为例

运用景观生态学方法和Arc/Info软件，研究1995年至2000年兰州至格尔木铁路沿线的区域土地利用和景观格局变化，分析交通干线（公路和铁路）的影响程度与范围。主要结果如下：（1）东线土地利用和景观格局没有发生显著变化，西线土地利用和景观格局变化较大；（2）东线缓冲带土地利用程度综合指数没有显著变化，西线缓冲带土地利用程度综合指数明显升高。缓冲带综合土地利用动态度的变化反映了交通干线的轴向影响规律；兰州至西宁铁路对土地利用变化的显著影响范围是5km，青藏铁路对土地利用变化的显著影响范围是7km；（3）9个城市缓冲带的土地利用变化分析表明：城市扩展主要发生在1km缓冲带内。     

Classification of artificial (man-made) ground

The legacy inherited from anthropogenic processes needs to be addressed in order to provide reliable and up-to-date ground information relevant to development and regeneration in the urban environment. The legacy includes voids as well as anthropogenic deposits (artificial ground). Their characteristics derive from former quarrying and mining activities industrial processes creating derelict ground, variably consolidated made ground, and contaminated groundwater and soils. All need to be systematically assessed to inform the planning process and provide the basis for engineering solutions. Site-specific investigation needs to be conducted on the back of good quality geoscientific data. This comes from ‘field’ survey, remotely sensed data interpretation, historical maps, soil geochemical sampling, and geotechnical investigation. Three-dimensional and, in the future, four dimensional, characterization of superficial deposits is required to reach an understanding of the potential spatial lithological variability of artificial ground and the geometry of important surfaces, i.e. the boundary conditions. The classification scheme for artificial ground outlined in this paper and adopted by the British Geological Survey, will help in achieving this understanding.     

城市地价动态监测点设置的Voronoi方法

依据国家建设城市地价动态监测体系的要求，以济南市地价监测点的布设为数据基础，分析了利用一般方法布设地价监测点存在的问题，试验了利用Voronoi方法对其进行优化的算法思路，利用Voronoi方法对城市地价监测点布设的技术路线及其可行性进行了分析。     

地表非均匀性对区域平均水分通量参数化的影响

次网格尺度地表非均匀性对于网格区平均通量具有重要影响。若将网格区视为均一地表 ,并不能真实描述地 气通量交换过程 ,且可造成很大误差。文中从理论上证明 ,区域平均水分通量的变化率可分解为两部分 :第一部分为区域水分通量的算术平均变化率 ;第二部分为非均匀性所引起的水分通量变化率扰动 ,它与区域内土壤水分空间分布的变差系数有关。数值试验表明 ,地表土壤水分的水平空间变差系数集中反映了区域内土壤水分分布的非均匀程度 ,不同土壤对同样的非均匀程度其敏感性是不同的。变差系数愈大 ,非均匀性愈强 ,在相同的土壤水分平均值下 ,不同土壤类型对地表非均匀程度的敏感性并不相同。例如沙土和粘土受非均匀性的影响就可相差数十倍。     

鄂豫皖交界地区地震地质背景与中强地震复发特征的研究

鄂豫皖交界地区位于东大别山西部，历史中强地震(M≥43/4)主要发生在土地岭-落儿岭及商城-麻城断裂带上，且“互动”和“连动”的特征较为显著。根据这一特征，在研究东大别山区域地质、地壳结构、断裂活动及地震构造应力场特征的基础上，可将鄂豫皖交界地区的中强地震作为秦岭-大别山活动地块中的次级地块的整体活动来看待。该区历史地震活动整体表现为丛集特征，而主要发震断层(土地岭-落儿岭断裂)的历史地震活动则具有相对较好的准周期性。地震复发周期研究提示，该地块近期发生M≥5．0左右地震的危险性较大，而霍山-六安地区为未来发生中强地震的主要危险区。     

陆面特征非均一作用参数化及其对区域气候影响的数值模拟试验

本文首先改进了陆地下垫面特征非均一性的次网格尺度参数化方法，然后利用三维地气耦合的区域气候模式，设计一系列值试验，研究了下垫面特征改变对区域气候环境变化的影响，主要分析了陆地表面特征变化对我国苏南附近地区夏季温度化的影响，结果表明采用地下垫面特征非均一作用的次网格尺度参数化方法对于改进数值模拟结果的质量有一定效果。