特征变量选择结合SVM的耕地土壤Hg含量高光谱反演

为探讨应用高光谱数据反演耕地土壤重金属汞(Hg)含量,对原始光谱进行10 nm重采样和SG平滑处理,用不同光谱变换数据与土壤重金属Hg含量进行相关性分析,采用IRIV、Random Frog和PCC提取光谱特征波段,分别建立SVM与GWO-SVM土壤Hg含量高光谱反演模型,获取Hg含量最优反演路径。研究表明,一阶微分变换光谱后土壤光谱特征更明显;上述特征提取方法在不同程度上减少光谱数据冗余,保留有效变量信息;经灰狼算法优化后支持向量机模型反演精度提高,IRIV结合GWO-SVM预测精度更高,其验证集R²为0.894,RMSE为0.082,MAE为0.016。研究成果可为类似土壤重金属含量的反演提供借鉴。     

气象卫星观测资料全球交换的基础——FM94 BUFR码原理及实现

针对风云二号(02)批应用系统项目建设中气象卫星观测资料全球交换的需求,介绍了FM94 BUFR码的压缩原理、BUFR编码软件的信息结构和软件结构,并以风云二号C星云导风产品BUFR编码为例,给出了报文段3的详细内容和段4的数据宽度。编码结果表明BUFR编码有较高的数据压缩率,非常适合数据传输。     

创新思想政治工作构建社会主义和谐社会

党的十六届五中全会《十一五规划的建议》,将构建和谐社会作为“十一五”时期经济社会发展的主要目标之一。这是党在新时期、新阶段的重大理论创新,是党对中国特色社会主义总体布局认识的深化和拓展。社会主义和谐社会是民主法制、公平正义、诚信友爱、充满活力、安定有序、人与自然和谐相处的社会。在构建社会主义和谐社会的过程中,应高度重视思想政治工作的地位和作用,进一步拓展思想政治工作的内容和领域,     

基于位置大数据的城市居住用地效率指标构建及评价研究

信息化赋能已经成为新时期国土空间规划的热点,但通过大数据整合进行国土空间利用评价研究仍有待探索。本文旨在借助腾讯位置大数据开展城市居住用地效率评价实证研究,综合运用多源地理空间数据,以居民区为评价单元构建居住用地效率指标,揭示常州市新城区不同居民区用地效率差异。结果表明:(1)居民区范围内小时粒度的人口规模呈周期波动,峰值一般出现在21:00,符合城市居民昼出夜归的作息规律,且不同容积率水平的居民楼人口集聚度和规模值也存在预期性的差异;(2) 29个居民区按建成年份划分为1980s、1990s、2000s、2010—2015年、2015年以后共5组,各组效率指标平均值分别为1.74、2.45、2.31、0.95和0.91人/百m²,2010年之前建成的居民区明显高于2010年之后新建的,2010年以后建成的居民区低于全市2.06人/百m²的平均水平(2018年标准);(3)效率指标值低并非完全等同于集约用地水平低,常州市新城新区开发建设的成长周期、居民对提升人居环境品质的需求,都是导致不同居民区用地效率差异的原因。研究表明,位置大数据作为高精...     

高含沙泥浆模型试验及其糙率纠正

国内许多年久失修的地下设施在废弃时面临巨大的安全隐患,而利用高含沙泥浆进行填充是有效而经济的方法。在进行填充前,对管道填充的可行性需要建立模型进行试验研究。在模型试验研究时遇到的模型不相似问题是影响模型试验准确性的重要因素,因此要对试验所得数据进行修正。在本次研究中我们通过对于试验所得流速数据进行糙率纠正解决了糙率不相似的问题。     

SUSTAINABLE DEVELOPMENT OF THE SERIOUSLY POLLUTED CITIES IN CHINA——Taking Benxi City as an Example

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Soil evolution features of debris flow waste-shoal land

The reclamation and utilization of debris flow waste-shoal land plays an important role in the mitigation and control of debris flow hazards, which thus contributes a lot to the exploitation of insufficient land resources in mountainous areas and the reduction of losses caused by debris flow. The aim of this paper is to discuss the features and mechanism of soil evolution of debris flow waste-shoal land so as to search for the available modes of its reclamation and utilization. The Jiangjiagou Ravine, a typical debris flow ravine, was selected to study soil evolution features of debris flow waste-shoal land based on the analysis of soil physieochemical properties and soil microstructure. It was found that the soil evolution rates of debris flow waste-shoal land varied with different modes of reclamation. For the land which had been reclaimed for less than lO years, soil evolved most rapidly in paddy fields, and more rapidly in dry farmland than in naturally restored waste-shoal land. For the land which had been used for more than lo years, the soil evolution rates of dry farmland, naturally restored waste-shoal land and paddy farmland decreased in the file. For the same utilization period of time, significant differences were recognized in soil evolution features under different modes of reclamation. Analysis data showed that soil clay content, soil thickness, the psephicity of skeleton particles and contents of microaggregates （〈0.02 mm） in paddy farmland were all highest. Soil nutrients and porosity of dry farmland were better than those of paddy farmland and naturally restored waste-shoal land, and those of paddy farmland were superior to those of naturally restored waste-shoal land. Paddy farmland characterized by rapid pedogenesis, stable evolution and high utilizability was the priority candidate for the reclamation and utilization of debris flow waste -shoal land.     

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Assimilation of ASCAT Sea Surface Wind Retrievals with Correlated Observation Errors

Data assimilation systems usually assume that the observation errors of wind components, i.e., u(the longitudinal component) and v(the latitudinal component), are uncorrelated. However, since wind components are derived from observations in the form of wind speed and direction(spd and dir), the observation errors of u and v are correlated. In this paper, an explicit expression of the observation errors and correlation for each pair of wind components are derived based on the law of error propagation. The new data assimilation scheme considering the correlated error of wind components is implemented in the Weather Research and Forecasting Data Assimilation(WRFDA) system. Besides, adaptive quality control(QC) is introduced to retain the information of high wind-speed observations. Results from real data experiments assimilating the Advanced Scatterometer(ASCAT) sea surface winds suggest that analyses from the new data assimilation scheme are more reasonable compared to those from the conventional one, and could improve the forecasting of Typhoon Noru.