多源信息方法在殷庄矿开采水文地质预测分区中的应用

根据对殷庄矿地质、水文地质、开采条件与矿井涌水之间关系的研究，提出了煤矿开采水文地质条件预测分区的方法——多源信息方法。该方法借助于地理信息系统技术实现了矿井涌水因素间的有机处理。经过将模型与实际情况反复拟合，最终得出了分区预测模型。     

基于栅格数据的流域降雨径流模型

本文在研究降雨时空分布不均匀与下垫面自然地理参数空间分布不均匀，对降雨径流过程影响的基础上，提出了一种在地理信息系统支持下的动态分布式降雨径流流域模型，实现了基于栅格的坡面产汇流与河道汇流的数值模拟，能够获得流域上任意模拟时刻任意栅格的径流量。模型视栅格为水文一致性单元，水文参数在栅格内一致，在相邻栅格间变化，采用Ｈｏｌｔａｎ模型计算下渗率，水量平衡方程和线性水库的马斯京根法进行栅格产汇流演算，模     

矿山地理信息系统中的空间和时间四维数据模型

现有的许多地理信息系统（GISs）一般都没有考虑时间这一维数据。本文依据矿山的特点和需求，提出了能满足空间和时间要求的GIS的概念。针对传统数据模型所存在的缺点，以及根据处理历史数据所具有的特点，提出了一种用于矿业开发的空间和时间综合四维数据模型。这种模型通过采用四维空间线性编码技术，可大大减少数据存贮所需的辅助操作。为了适应综合四维数据处理的需要，笔者研究出了一种新的拓扑结构——四维空间和时间因素的拓扑关系。     

地理信息系统支持区域土地利用决策的研究

本文以江苏省溧阳县为例,研究地理信息系统技术在区域土地利用多目标规划中的应用,着重探讨地理信息系统支持的区域土地利用决策原理和方法。研究表明,在地理信息系统的支持下,通过单项适宜性评价模型和生产布局决策模型的建立与运行,可以有效地进行研究区合理的土地利用布局和为区域土地管理提供依据。     

论自动化和智能化空间对地观测数据处理系统的建立

未来１０年遥感对地观测技术的发展使得遥感影像的获取将走向多种传感器、多分辨率、多谱段和多时相。各国计划发射的对地观测卫星将使我们能够同时获取大量的、不同分辨率的、多谱段的可见光、红外、微波辐射和侧视雷达的数据。从而构成用于全球变化研究、环境监测、资源调查、灾害防治的多层次遥感影像金字塔。为了能够及时地、充分地利用这些对地观测数据来回答地学研究和人类社会发展所面临时的问题，更好地发挥遥感为国民经济建设服务的巨大潜力，必须从技术上建立一个自动化和智能化的空间对地观测数据处理系统。鉴于目前应用滞后于发射，软件落后于硬件的现实情况，本文简要叙述建立自动化和智能化空间对地观测数据处理系统的必要性和可能性，分析建立该系统的主要目标和需解决的关键技术并希望国家集中各有关方面的人力和财力来共同攻关，以建立和完善我国的地球科学信息系统，提高综合研究与深入分析的现代化水平。     

地理信息系统费用效益分析

在经济发展的推动下，地理信息系统技术的应用在我国迅速兴起，特别是在城市规划和土地管理等领域非常活跃。随着一些大型系统的筹备和建立，地理信息系统费用效益分析已显得十分重要，许多用户迫切需要这方面的资料并了解有关方法。费用效益分析是地理信息系统进行立项可行性研究和系统管理的一个基本内容，本文主要介绍国外这一领域的观点，总结和提出确定地理信息系统费用和效益的方法，并讨论有关经济分析技术，旨在推动这一工作的深入开展。     

新形势下测绘保密工作的思考

在《中华人民共和国测绘成果管理规定》及其相关的管理规定中 ,对基础测绘成果保密等级的划分、调整和解密都作了详细的规定。但是在新形势下 ,现行保密法规的对象发生了变化 ,传统的保密管理方式已不适用 ,因此 ,应在保守国家核心机密的前提下 ,重新审定各种地理信息产品的密级 ,最大限度地扩大流通服务范围 ,使地理信息能更多更好地为国民经济建设服务     

Vulnerability of groundwater in Quaternary aquifers to organic contaminants: a case study in Wuhan City,China

More than 30 organic contaminants were detected in shallow groundwaters at Wuhan, the largest city in central China. Seriously contaminated groundwaters were from densely populated, industrial and commercial areas. Abnormal concentrations were found in groundwater from Hankou, downtown Wuhan: trimethylbenzene up to 29 μg/L, tetramethylbenzene up to 866 μg/L, and trichloroethene up to 9.5 μg/L. Benzene, Toluene, Ethylene and Xylene (BTEX) contamination of groundwater is serious and widespread at Wuhan, ranging between 0.14 and 25.0 μg/L. Considering the hydrogeological conditions of most Chinese cities, DRAMIC, a modified version of the widely used DRASTIC model, was proposed by the authors for assessing vulnerability of groundwater to contamination. The factors D, R, A and I in DRAMIC model are the same as in DRASTIC. The factor topography is ignored. The factor soil media is substituted by a new factor aquifer thickness (M) and the factor hydraulic conductivity of the aquifer by a new factor impact of contaminant (C). The equation for determining the DRAMIC Index is: DRAMIC = 5D _R + 3R _R + 4A _R + 2M _R + 5I _R + 1C _R. The calculated DRAMIC Index can be used to identify areas that are more likely to be susceptible to groundwater contamination relative to each other. The higher the DRAMIC Index is, the greater the groundwater pollution potential. Applying DRAMIC, a GIS-based vulnerability map for Wuhan city was prepared. Interestingly, places such as downtown Hankou, where enhanced concentrations of BTEX have been detected, correspond quite well with those with higher DRAMIC ratings.     

Effects of climate change on the groundwater system in the Grote-Nete catchment,Belgium

The effects of climate change on the groundwater systems in the Grote-Nete catchment, Belgium, covering an area of 525 km², is modeled using wet (greenhouse), cold or NATCC (North Atlantic Thermohaline Circulation Change) and dry climate scenarios. Low, central and high estimates of temperature changes are adopted for wet scenarios. Seasonal and annual water balance components including groundwater recharge are simulated using the WetSpass model, while mean annual groundwater elevations and discharge are simulated with a steady-state MODFLOW groundwater model. WetSpass results for the wet scenarios show that wet winters and drier summers are expected relative to the present situation. MODFLOW results for wet high scenario show groundwater levels increase by as much as 79 cm, which could affect the distribution and species richness of meadows. Results obtained for cold scenarios depict drier winters and wetter summers relative to the present. The dry scenarios predict dry conditions for the whole year. There is no recharge during the summer, which is mainly attributed to high evapotranspiration rates by forests and low precipitation. Average annual groundwater levels drop by 0.5 m, with maximum of 3.1 m on the eastern part of the Campine Plateau. This could endanger aquatic ecosystem, shrubs, and crop production.     

Spatial Analysis Techniques as Successful Mineral-Potential Mapping Tools for Orogenic Gold Deposits in the Northern Fennoscandian Shield,Finland

Geoscientific Information Systems (GIS) provide tools to quantitatively analyze and integrate spatially referenced information from geological, geophysical, and geochemical surveys for decision-making processes. Excellent coverage of well-documented, precise and good quality data enables testing of variable exploration models in an efficient and cost effective way with GIS tools. Digital geoscientific data from the Geological Survey of Finland (GTK) are being used widely as spatial evidence in exploration targeting, that is ranking areas based on their exploration importance. In the last few years, spatial analysis techniques including weights-of-evidence, logistic regression, and fuzzy logic, have been increasingly used in GTK’s mineral exploration and geological mapping projects. Special emphasis has been put into the exploration for gold because of the excellent data coverage within the prospective volcanic belts and because of the increased activity in gold exploration in Finland during recent years. In this paper, we describe some successful case histories of using the weights-of-evidence method for the Au-potential mapping. These projects have shown that, by using spatial modeling techniques, exploration targets can be generated by quantitatively analyzing extensive amounts of data from various sources and to rank these target areas based on their exploration potential.