中国气象频道广西本地发展策略探讨

通过对中国气象频道本地发展现状和全国各地气象频道发展现状进行分析,提出中国气象频道本地发展策略:通过积极争取政府及相关部门支持广西应急气象频道的建设,建立部门联动的合作机制;推进业务服务体系建设,提升频道综合业务能力;完善广西应急气象频道节目体系,切实提升服务水平;建立健全系统业务流程,大力推进人才体系建设,从而把广西应急频道打造成为综合防灾减灾频道。     

巩乃斯避暑旅游气象指数分析与评价

根据巩乃斯、和静站2009—2018年6—8月的逐日平均气温、最高气温、相对湿度、风速等气象观测资料,采用对比分析、通径分析及模糊综合评价等方法对巩乃斯地区夏季避暑旅游气象资源优势进行分析和评价.结果表明:巩乃斯夏季气候凉爽、湿度适宜、风速不大,人体感觉凉爽、舒适,适合避暑旅行.人体舒适度与空气温度呈显著正相关,与相对...     

冀东太平寨-娄子山太古宙麻粒岩相变质峰期流体研究

冀东太平寨-娄子山地区太古宙麻粒岩系变质峰期流体包裹体首次见于夕线石中,按形 态 和产状可分三类,均形成于峰期至其稍后阶段。它们成分相似。特征是:①富碳质,XC　O2+C　H4=0.64～0.93; ②含少量H2O,XH 2O=0～0.22,且与峰期矿物 组合平衡热力学计算的水活度(aH2O=0.04～0.31)和含量( XH2O=0.03～0.22)完全吻合; ③有时含一定量H2S和SO2; ④盐水溶液 中阴离子总量极低(0.12～0.61mol/L)。石英和石榴石中也有特征相同的这期包裹体。峰 期包裹体中C　O 2均一温度多数 为-28℃～-22℃,密度为0.96～1.06g/cm3,包裹体整体密度应稍高,相应的压力为0.60 ～0.70G Pa。流体的氧逸度lgfO2在-17～-15之间。峰期流体上述各种特征在空间上较 均匀,相邻的不同岩石类型中aH2O值相似,结合地质和原岩特 征分析,认为流体中C　O2可能为深部地幔来源,其成因与基性岩浆底侵及其结晶作 用有关。     

黄土斜坡地震动时程分析

应用地震危险性分析理论和地震动人工合成技术，给出Newmark法中所需的地震动时程，解决了斜坡稳定性分析Newmark法中难以选取合适地震动时程的难题。通过对黄土斜坡实例计算，给出了坡体中地震动峰值加速度与深度的关系；在计算坡体位移时，提出了等效峰值加速度的概念；对比了使用地面地震动时程和使用坡体内等效地震动时程的计算结果。     

获取与处理类测绘标准的重组规划探讨

获取与处理类测量规范是测绘标准体系的核心部分,然而,这些测量规范存在着内容重复、引用复杂、系统性差等缺点,因此,建议将现行的获取与处理类测量规范进行重组。通过分析,将该类测量规范规划为两部分：基础测量规范与专业测量规范,重组后的测量规范系统性强、引用简单、索引明确,对指导测绘生产具有重要意义。     

Possible Sources of Forecast Errors Generated by the Global/Regional Assimilation and Prediction System for Landfalling Tropical Cyclones. Part Ⅱ: Model Uncertainty

This paper investigates the possible sources of errors associated with tropical cyclone (TC) tracks forecasted using the Global/Regional Assimilation and Prediction System (GRAPES). In Part I, it is shown that the model error of GRAPES may be the main cause of poor forecasts of landfalling TCs. Thus, a further examination of the model error is the focus of Part II. Considering model error as a type of forcing, the model error can be represented by the combination of good forecasts and bad forecasts. Results show that there are systematic model errors. The model error of the geopotential height component has periodic features, with a period of 24 h and a global pattern of wavenumber 2 from west to east located between 60°S and 60°N. This periodic model error presents similar features as the atmospheric semidiurnal tide, which reflect signals from tropical diabatic heating, indicating that the parameter errors related to the tropical diabatic heating may be the source of the periodic model error. The above model errors are subtracted from the forecast equation and a series of new forecasts are made. The average forecasting capability using the rectified model is improved compared to simply improving the initial conditions of the original GRAPES model. This confirms the strong impact of the periodic model error on landfalling TC track forecasts. Besides, if the model error used to rectify the model is obtained from an examination of additional TCs, the forecasting capabilities of the corresponding rectified model will be improved.     

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Efficient collection of training data for sub-pixel land cover classification using neural networks

Artificial neural networks (ANNs) are a popular class of techniques for performing soft classifications of satellite images. They have successfully been applied for estimating crop areas through sub-pixel classification of medium to low resolution images. Before a network can be used for classification and estimation, however, it has to be trained. The collection of the reference area fractions needed to train an ANN is often both time-consuming and expensive. This study focuses on strategies for decreasing the efforts needed to collect the necessary reference data, without compromising the accuracy of the resulting area estimates. Two aspects were studied: the spatial sampling scheme (i) and the possibility for reusing trained networks in multiple consecutive seasons (ii). Belgium was chosen as the study area because of the vast amount of reference data available. Time series of monthly NDVI composites for both SPOT-VGT and MODIS were used as the network inputs. The results showed that accurate regional crop area estimation (R² > 80%) is possible using only 1% of the entire area for network training, provided that the training samples used are representative for the land use variability present in the study area. Limiting the training samples to a specific subset of the population, either geographically or thematically, significantly decreased the accuracy of the estimates. The results also indicate that the use of ANNs trained with data from one season to estimate area fractions in another season is not to be recommended. The interannual variability observed in the endmembers’ spectral signatures underlines the importance of using up-to-date training samples. It can thus be concluded that the representativeness of the training samples, both regarding the spatial and the temporal aspects, is an important issue in crop area estimation using ANNs that should not easily be ignored.     

都匀市河床地区岩土层工程地质特征

本文对都匀河床地区各岩土层工程地质特征进行了较为详细的阐述,为该区拟建物基础设计提供了较为可靠的工程地质资料。     

比值—特征主成分混合分析提取金矿蚀变信息：以赣南遂川地区为例

在分析与金矿有关的两类蚀变岩的ＴＭ波谱特征的基础上,以赣南遂川地区为实验区,利用比值－特征主成分混合分析进行了金矿蚀变岩信息提取,为找矿预测和野外工作指明了方向。