Current and thermohaline characteristics of the Arabian Sea during January 1998

Based on a ship survey during January 1998, the characteristics of the flow, the thermohaline properties and the volume transport of the Arabian Sea are discussed. A strong westward flow exists between 10.5?N and 11?N, part of which turns to the south as the Somali current near the coast at about 10?N and the rest turns north. At the passage between the African continent and the So- cotra Island, the northern branch separates into two flows: the left one enters the passage and the right one flows eastward along the southern slope of the island. Off the island the flow separates once more, most of it meandering northeast and a small fraction flow- ing southeast. Volume transport calculation suggests that the tidal transport is one or two orders of magnitude smaller than the total transport in this region and it becomes more important near the coast. The average velocity of the flow in the upper layer (0-150 m) is about 20 cm s-1, with a maximum of 53 cm s-1 appearing east of the Socotra Island, and the subsurface layer (200-800 m) has an aver- age velocity of 8.6 cm s-1; the velocity becomes smaller at greater depths. The depth of the seasonal thermocline is about 100 m, above which there is a layer with well mixed temperature and dissolved oxygen. High-salinity and oxygen-rich water appears near the surface of the northern Arabian Sea; a salinity maximum and oxygen minimum at 100 m depth along 8?N testifies the subduction of surface water from the northern Arabian Sea. Waters from the Red Sea and the Persian Gulf also influence the salinity of the area.     

卡尔曼滤波在InSAR噪声消除与相位解缠中的应用

相位解缠作为InSAR技术中的关键步骤,一直是研究的难点和热点。通常的相位解缠方法在相位解缠前首先必须进行噪声消除,而卡尔曼滤波将相位解缠问题转化为状态估计问题,实现了相位解缠与噪声消除一并处理,成为一种相位解缠新途径。并提出了卡尔曼滤波在相位解缠与噪声抑制中的一种新算法。     

论小型建材矿产的矿业权制度改革

为适应社会主义市场经济条件下市场配置资源的要求,国家实行了矿产资源有偿使用制度改革,县(市)国土资源管理部门对权限范围内矿产资源的开采一律要按照程序通过招标、拍卖或挂牌的方式出让采矿权。笔者认为相较其他矿产来说,小型建材矿产应首先进行矿业权制度改革,取消行政审批,进入矿业权市场,实行有偿使用。1 小型建材矿产矿业权制度改革的必要性1.1 小型建材矿产现状是进行矿业权制度改革主要原因建材矿产是最早被人们发现和利用的矿种,从早期的陶器、石器到现在的玻璃、水泥,建材矿产开发和程度和范围远远正超过了其他矿种,成为经济建…     

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Characteristics and generation mechanisms of key infrared radiation signals during damage evolution in sandstone

Acta Geotechnica - Infrared radiation count (IRC) is considered as an indicator for damage evolution of rocks. This new indicator links damage intensity and corresponding infrared radiation...     

华夏植物地理区一个新的亚区——豫淮亚区

本文在自己工作的基础上,结合前人资料,提出了华夏植物地理区一个新的亚区——豫淮亚区,用以概括具有重要特色之位于两淮、徐州、豫西一带的二叠纪植物群区系特征.文中着力刻划了该区具有浓郁地方色彩,极高的属种分异度,保存甚佳之植物群轮廓;划分了三个植物组合,即P|Callipteridium koraiense-Cathaysiopteris whitei-Cordaites schenki组合,P_1~2 Fascipteris spp.-Lobatannularia ensifolia-Gigantonocleaspp.组合,P_1~2 Gigantopteris nicotianaefolia-Lobatannularia multifolia-Psygmorphyllummultipartitum组合.文章还结合二叠纪该区独特的区域构造、古地理、古气候等方面,从不同侧面详塑了豫淮亚区的整体格架.     

秦皇岛市青龙县城工程场地动力特征及分区评价

工程场地动力分区评价（即地震影响小区划），是在工程场地地震危险性分析的基础上，根据场地岩土动力特征及地形地貌、地质构造条件等对地震动影响的反应程度，从而对不同类型场地的地震效应作出评价．其成果可做为建筑抗震设计、工程加固、震害预测与对策的制定及土地合理利用和总体规划布局的依据．本文以秦皇岛市青龙县城工程场地为例，进行了工程场地动力特征研究与分区评价及震害预测（即工程场地地震影响小区划）。     

Trends of urban air pollution in Zhengzhou City in 1996–2008

Urban air pollution is a commonly concerned environmental problem in the world.Identification of air quality trend using long-term monitoring data is helpful to understand the effectiveness of pollution control strategies.This study,using data from six monitoring stations in Zhengzhou City,analyzed the changing trend in concentrations of SO 2,NO x /NO 2 and TSP/PM 10 in 1996-2008,based on non-parametric Mann-Kendall test and Sen’s slope estimator,and evaluated the comprehensive air pollution level using Multi-Pollutant Index(MPI).It was found that the concentration of each pollutant exceeded obviously the World Health Organization(WHO) guideline value,but the changing trend varied:SO 2 and NO 2 were significantly increased mainly due to an increase in coal consumption and vehicle number,while NO x,TSP and PM 10 decreased.The air pollution was serious,and differed markedly among the three functional regions:it is the most severe in the Industrial and Residential Area(IRA),followed by the Transportation Hub and Business District(THBD),and then the High-tech,Cultural and Educational Area(HCEA).Different from NO 2 concentration that had a similar change trend/rate among the function regions,the change rate of PM 10 concentration differed spatially,decreased much more obviously in THBD than other two regions.For the whole city,the comprehensive air pollution level declined gradually,illustrating that the air quality in Zhengzhou was improved in the last decade.     

一个近地层中的三维随机扩散模式

利用横向Lagrange时间尺度T_(LY),与稳定度及高度的关系,本文建立了一个三维随机扩散模式,并用它模拟了近地层中地面源的扩散过程。模式计算结果表明:在稳定层结条件下该模式比取T_(LY)为常数得到的模式有明显的改进,而在不稳定条件下这一模式改进不大。     

The use of digital technologies for landslide disaster risk research and disaster risk management: progress and prospects

Landslide is a serious natural disaster next only to earthquake and flood, which will cause a great threat to people’s lives and property safety. The traditional research of landslide disaster based on experience-driven or statistical model and its assessment results are subjective , difficult to quantify, and no pertinence. As a new research method for landslide susceptibility assessment, machine learning can greatly improve the landslide susceptibility model’s accuracy by constructing statistical models. Taking Western Henan for example, the study selected 16 landslide influencing factors such as topography, geological environment, hydrological conditions, and human activities, and 11 landslide factors with the most significant influence on the landslide were selected by the recursive feature elimination (RFE) method. Five machine learning methods [Support Vector Machines (SVM), Logistic Regression (LR), Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Linear Discriminant Analysis (LDA)] were used to construct the spatial distribution model of landslide susceptibility. The models were evaluated by the receiver operating characteristic curve and statistical index. After analysis and comparison, the XGBoost model (AUC 0.8759) performed the best and was suitable for dealing with regression problems. The model had a high adaptability to landslide data. According to the landslide susceptibility map of the five models, the overall distribution can be observed. The extremely high and high susceptibility areas are distributed in the Funiu Mountain range in the southwest, the Xiaoshan Mountain range in the west, and the Yellow River Basin in the north. These areas have large terrain fluctuations, complicated geological structural environments and frequent human engineering activities. The extremely high and highly prone areas were 12043.3 km² and 3087.45 km², accounting for 47.61% and 12.20% of the total area of the study area, respectively. Our study reflects the distribution of landslide susceptibility in western Henan Province, which provides a scientific basis for regional disaster warning, prediction, and resource protection. The study has important practical significance for subsequent landslide disaster management.