北京市地质灾害状况及制定地质环境管理办法论证

论文从北京市自然地质背景和资源现状出发，根据目前资源开采中存在的地质环境问题、地质灾害程度以及地质环境发展趋势，论述了北京应尽快制定、颁布与实施地质环境管理办法的必要性、迫切性、可行性和相关依据。北京市主要有崩塌、滑坡、泥石流、地面沉降等地质灾害以及矿山环境污染，而针对这些问题开展的监测预报工作还很少。纵观北京市社会、经济及资源的利用与发展，已逐步显现出地质灾害、矿山环境等地质环境问题对社会经济发展带来的诸多困扰。目前地质灾害及地质环境管理的现状都显示出本市地质环境监测与预报工作还很薄弱，相应的法律、法规建设也不健全。因此，制定地质环境管理办法已迫在眉睫，应使地质环境管理有法可依，改善目前地质环境，保证北京市社会经济可持续发展。     

浅谈工程项目的造价管理

随着我国建筑市场的不断深入发展,工程造价管理者已逐步认识到,传统的概预算管理必须改革,工程造价管理要贴近市场实际,适应市场需要。如何在新形势下搞好工程造价管理工作,是涉及到经济理论并富有实际意义的工作,也是目前许多施工企业急需研究解决的问题。     

当前地震台站财务管理工作之浅见

本文简要介绍了台站财务管理的现状 ,针对目前台站管理中出现的一些问题 ,阐明加强台站财务管理与会计核算改革的必要性 ,并粗略提出地震台站财务管理工作的改革方向与对策。     

地球化学样品分析质量管理系统

利用VFP6．0强大的数据计算和管理功能，设计了对地质调查样品分析数据的实验室质量管理系统。该系统不仅可以同时管理多个图幅样品的数据，还可以自动实现样品编码、内检样品按指定比例随机生成、一级和二级标样质量汇总、内检合格率和报出率计算、二级标样质量监控图绘制以及按选定格式进行分析数据和内检数据的导入和导出，可以根据用户的需要输出美观的表格。该系统适用于不同比例尺化探数据的实验室质量管理。     

处理DEM中闭合洼地和平坦区域的一种新方法

数字高程模型(DEM)中的闭合洼地和平坦区域影响着流域排水网络的自动提取.目前已提出很多方法来处理这两种地形,但均针对已经形成的DEM单元网格进行处理,结果往往生成伪河道及平行河道.在回顾分析了这些方法存在的问题后,提出了一种新的处理方法,该法认为DEM中的闭合洼地和平坦区域是由于低质量的资料输入、生成DEM时的内插误差等引起的.通过增加输入地形高程信息,避免了DEM中平坦区域和闭合洼地的生成,从而使由DEM生成的河网与实际河网能够精确拟合.实例分析表明,该方法效果明显.     

库尔勒数字地震台台基噪声分析

选取库尔勒地震台FBS—3数字地震仪不同时段的无震记录资料，运用傅里叶变换对其台基噪声进行频谱分析，并计算台基的平均噪声水平及仪器的实际动态范围。库尔勒地震台数字地震仪台基噪声主要来自随机干扰，噪声频段相对稳定，噪声幅度随时段有所变化。观测系统实际动态范围符合数字地震仪架设的要求。     

数字化气氡观测干扰因素的分析研究

在进行地下流体数字化气氡观测及将观测资料应用于震情分析的过程中 ,发现某些干扰因素对数字化气氡观测和水氡的影响不同。在目前所用观测仪器和方法的条件下 ,气温对气氡值的影响系数为 - 0 4 % /℃ ;气压对气氡测值的影响系数为 0 1% /hPa ;不同类型的气水分离装置对气氡观测的影响很显著 ;同一含水层的井 (泉 )出水量的短期变化可引起观测水井流量的变化 ,但对气氡测值影响不显著 ;气氡测值对逸出气流量的变化反映不明显 ;逸出气含有杂质及气路泄漏等均会引起测值的下降。结合仪器的工作原理 ,对干扰产生的机制以及排除的方法进行了讨论     

浅谈地震科技档案鉴定的意义

地震科技档案鉴定是档案管理部门的一项重要工作。针对地震科技档案鉴定工作的重要意义进行了分析，定期对地震科技档案鉴定有利于优化馆藏、对重点地震科技档案的保管；并对提高档案工作服务水平和档案人员业务素质进行了探讨。     

城市节水工作存在的问题及对策研究

水资源匮乏已成为当今社会发展不可回避的主要问题，成为制约国民经济快速、稳定、健康发展的“瓶颈”，解决这一问题成为当务之急，本文就城市节水存在的问题，提出了加强节水管理的综合性措施。     

Testing a model for predicting the timing and location of shallow landslide initiation in soil‐mantled landscapes

The growing availability of digital topographic data and the increased reliability of precipitation forecasts invite modelling efforts to predict the timing and location of shallow landslides in hilly and mountainous areas in order to reduce risk to an ever‐expanding human population. Here, we exploit a rare data set to develop and test such a model. In a 1·7 km² catchment a near‐annual aerial photographic coverage records just three single storm events over a 45 year period that produced multiple landslides. Such data enable us to test model performance by running the entire rainfall time series and determine whether just those three storms are correctly detected. To do this, we link a dynamic and spatially distributed shallow subsurface runoff model (similar to TOPMODEL) to an in?nite slope model to predict the spatial distribution of shallow landsliding. The spatial distribution of soil depth, a strong control on local landsliding, is predicted from a process‐based model. Because of its common availability, daily rainfall data were used to drive the model. Topographic data were derived from digitized 1 : 24 000 US Geological Survey contour maps. Analysis of the landslides shows that 97 occurred in 1955, 37 in 1982 and ?ve in 1998, although the heaviest rainfall was in 1982. Furthermore, intensity–duration analysis of available daily and hourly rainfall from the closest raingauges does not discriminate those three storms from others that did not generate failures. We explore the question of whether a mechanistic modelling approach is better able to identify landslide‐producing storms. Landslide and soil production parameters were ?xed from studies elsewhere. Four hydrologic parameters characterizing the saturated hydraulic conductivity of the soil and underlying bedrock and its decline with depth were ?rst calibrated on the 1955 landslide record. Success was characterized as the most number of actual landslides predicted with the least amount of total area predicted to be unstable. Because landslide area was consistently overpredicted, a threshold catchment area of predicted slope instability was used to de?ne whether a rainstorm was a signi?cant landslide producer. Many combinations of the four hydrological parameters performed equally well for the 1955 event, but only one combination successfully identi?ed the 1982 storm as the only landslide‐producing storm during the period 1980–86. Application of this parameter combination to the entire 45 year record successfully identi?ed the three events, but also predicted that two other landslide‐producing events should have occurred. This performance is signi?cantly better than the empirical intensity–duration threshold approach, but requires considerable calibration effort. Overprediction of instability, both for storms that produced landslides and for non‐producing storms, appears to arise from at least four causes: (1) coarse rainfall data time scale and inability to document short rainfall bursts and predict pressure wave response; (2) absence of local rainfall data; (3) legacy effect of previous landslides; and (4) inaccurate topographic and soil property data. Greater resolution of spatial and rainfall data, as well as topographic data, coupled with systematic documentation of landslides to create time series to test models, should lead to signi?cant improvements in shallow landslides forecasting. Copyright © 2003 John Wiley & Sons, Ltd.