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211.
谢旭阳 《现代测绘》2009,32(3):15-17
本文介绍了确定GPS正常高的常用方法--GPS水准高程,通过工程实例,得出各种常用拟合方法的适用范围及精度情况,通过对各种拟合模型进行详尽的对比分析,选择有助于高程拟合时选择适宜的拟合函数,获得满意的精度和结果.  相似文献   
212.
针对测量标志出现大量毁坏的原因,联系当前测量标志新形势的要求,提出了现阶段测量标志维护与管理的想法和建议.  相似文献   
213.
随着国民经济的快速发展,测绘行业得到了迅速发展壮大.江苏省是测绘人力资源大省,同时是测绘教育大省.通过抽样调查方法对江苏省测绘工程专业人力资源现状与毕业生需求情况进行了详细研究.研究得出江苏省测绘行业人才队伍不断壮大,未来需求量不断增加,有利于毕业生就业.  相似文献   
214.
谢璧霞  曹敏  沈泉飞 《现代测绘》2009,32(5):3-4,25
陆海统一高程基准的关键是高程异常模型的建立,本文采用既考虑函数模型中非随机变量同时考虑随机部分的最小二乘配置法进行高程异常的拟合推估,建立区域高程异常模型,并与常用方法进行比较分析.以江苏沿海高程异常模型建立为例,研究得出不同拟合方法的拟合精度和残差图各有特点,最小二乘配置法的外部符合精度最高.  相似文献   
215.
INTRODUCTIONEmpiricalorthogonalfunction (EOF)isastatisticalmethodwidelyusedtoquantitativelyexam inemeteorologicalandoceanicdata (PreisendorferandBarnett,1 977;Rasmussonetal.,1 981 ;KnappenbergerandMichaels,1 993 ;LeeandCornillon ,1 995) .Themethodseeksoutthefirstfeworth…  相似文献   
216.
A combined numerical model of wind, wave, tide, and storm surges was built on the basis of the “wind field model in limited sea surface areas”. When used to forecast the sea surface wind, wave height and water level, it can describe them very well. Contribution No. 4108 from the Institute of Oceanology, Chinese Academy of Sciences. This work supported by Stress Project (KZ952-S1-420), Chinese Academy of Sciences; 863 Project (863-818-06-05), and (863-818-Q-07)  相似文献   
217.
The formation mechanism and influencing factors identification of soil erosion are the core and frontier issues of current research. However, studies on the multi-factor synthesis are still relatively lacked. In this study, the simulation of soil erosion and its quantitative attribution analysis have been conducted in different geomorphological types in a typical karst basin based on the RUSLE model and the geodetector method. The influencing factors, such as land use type, slope, rainfall, elevation, lithology and vegetation cover, have been taken into consideration. Results show that the strength of association between the six influencing factors and soil erosion was notably different in diverse geomorphological types. Land use type and slope were the dominant factors of soil erosion in the Sancha River Basin, especially for land use type whose power of determinant(q value) for soil erosion was much higher than other factors. The q value of slope declined with the increase of relief in mountainous areas, namely it was ranked as follows: middle elevation hill> small relief mountain> middle relief mountain. Multi-factors interactions were proven to significantly strengthen soil erosion, particularly for the combination of land use type with slope, which can explain 70% of soil erosion distribution. It can be found that soil erosion in the same land use type with different slopes(such as dry land with slopes of 5° and above 25°) or in the diverse land use types with the same slope(such as dry land and forest with a slope of 5°), varied much. These indicate that prohibiting steep slope cultivation and Grain for Green Project are reasonable measures to control soil erosion in karst areas. Based on statistics of soil erosion difference between diverse stratifications of each influencing factor, results of risk detector suggest that the amount of stratification combinations with significant difference accounted for 55% at least in small relief mountain and middle relief mountainous areas. Therefore, the spatial heterogeneity of soil erosion and its influencing factors in different geomorphological types should be investigated to control karst soil loss more effectively.  相似文献   
218.
Liao  Xiaoyong  Tao  Huan  Gong  Xuegang  Li  You 《地理学报(英文版)》2019,29(10):1610-1624

A model integrating geo-information and self-organizing map (SOM) for exploring the database of soil environmental surveys was established. The dataset of 5 heavy metals (As, Cd, Cr, Hg, and Pb) was built by the regular grid sampling in Hechi, Guangxi Zhuang Autonomous Region in southern China. Auxiliary datasets were collected throughout the study area to help interpret the potential causes of pollution. The main findings are as follows: (1) Soil samples of 5 elements exhibited strong variation and high skewness. High pollution risk existed in the case study area, especially Hg and Cd. (2) As and Pb had a similar topo-logical distribution pattern, meaning they behaved similarly in the soil environment. Cr had behaviours in soil different from those of the other 4 elements. (3) From the U-matrix of SOM networks, 3 levels of SEQ were identified, and 11 high risk areas of soil heavy metal-contaminated were found throughout the study area, which were basically near rivers, factories, and ore zones. (4) The variations of contamination index (CI) followed the trend of construction land (1.353) > forestland (1.267) > cropland (1.175) > grassland (1.056), which suggest that decision makers should focus more on the problem of soil pollution surrounding industrial and mining enterprises and farmland.

  相似文献   
219.
Gong  Jie  Xie  Yuchu  Cao  Erjia  Huang  Qiuyan  Li  Hongying 《地理学报(英文版)》2019,29(7):1193-1210
Journal of Geographical Sciences - Mountains in western China, hosted rich biodiversity and millions of people and inhabitant with vital ecosystem services, had experienced the most serious...  相似文献   
220.
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