东北地区矿业开发态势与矿山环境地质问题综合研究   总被引：1，自引：0，他引：1  

金洪涛  贾伟光  邸志强 《华南地质与矿产》2005,(3):50-54

在论述东北地区矿业开发态势的同时,阐述了区内能源矿产、金属矿产及非金属矿产开采引发的主要环境地质问题,针对区内复杂的矿山环境地质问题现状,提出了开展东北地区矿山环境地质综合研究问题的工作思路.  相似文献   

翁泉沟含铀硼铁矿床综合开发利用研究与对策   总被引：1，自引：1，他引：1  

夏学惠  魏祥松 《化工矿产地质》2005,27(2):65-70

翁泉沟含铀硼铁矿中硼(B2O3)储量约占我国总储量的一半,矿床经勘探后一直没有很好得到利用。在综合利用资料积累与地质研究基础上,认为影响矿床利用的因素主要为矿石分解状况。研究认为矿床中硼镁铁矿-磁铁矿和硼镁石-磁铁矿两种主要类型矿石中绝大部分为可利用的变质后期热液作用产生的硼镁石-磁铁矿型矿石。这种热液作用形成的矿石是有规律可寻的。为达到综合利用的目的,有必要按不同类型矿石重新圈定矿体,根据不同矿体中硼镁铁矿分解率指标,选择两种不同综合利用方案。  相似文献   

浅埋暗挖技术在南平市天台隧道工程施工中的应用          下载免费PDF全文

李耀卿 《探矿工程》2005,32(12):56-58

主要介绍了在Ⅱ、Ⅲ类围岩中施工城市浅埋隧道的施工技术，以“短开挖、快封闭、强支护、勤量测”为指导，将隧道分成上、下两个台阶进行开挖，及时进行初期支护，保证施工始终处于安全状态。  相似文献   

西藏直孔水电站大坝混凝土防渗墙超前支护成槽试验研究及施工     

马邦凯  牟兴华  蔡海燕 《探矿工程》2005,32(12):3-5

在西藏直孔水电站松散砂卵石地层混凝土防渗墙成槽施工中，结合坝基水文地质及工程地质特点，创造性地提出了超前支护成槽方案，通过三维应力模拟和渗透试验，结合现场生产试验，对原方案更进一步完善，在施工中加以应用获得了成功。  相似文献   

云南沿边境地带生态环境3S监测、 评价与调控研究   总被引：8，自引：0，他引：8  

齐清文  何大明  邹秀萍  姜莉莉  李晋 《地理科学进展》2005,24(2):1-12

本文利用全球新千年整体生态系统评估的理论，以云南省沿边境地带生态系统变化跨境生态安全为研究对象，探寻并揭示我国陆疆系统的跨境生态系统变化监测、评价和生态安全综合调控的基础理论与信息机理；进而研究基于“3S”云南沿边境地带的生态环境监测、评价与综合调控的方法和关键技术，包括方法和技术体系的建立、指标体系的建立、多尺度效应和尺度转换、数学模型的建立、综合调控模式和决策方案的建立等；在案例研究部分，建立了背景数据库，然后选择大、中、小尺度进行了全区生态环境现状评价，重点河道、典型路段和重点口岸的影响评价和预测预报研究，最后进行了综合调控模式和方案的探讨，并对研究结果进行了动态仿真和虚拟表达研究。  相似文献   

Ensemble prediction of regional droughts using climate inputs and the SVM–copula approach          下载免费PDF全文

Poulomi Ganguli  M. Janga Reddy 《水文研究》2014,28(19):4989-5009

In this study, the climate teleconnections with meteorological droughts are analysed and used to develop ensemble drought prediction models using a support vector machine (SVM)–copula approach over Western Rajasthan (India). The meteorological droughts are identified using the Standardized Precipitation Index (SPI). In the analysis of large‐scale climate forcing represented by climate indices such as El Niño Southern Oscillation, Indian Ocean Dipole Mode and Atlantic Multidecadal Oscillation on regional droughts, it is found that regional droughts exhibits interannual as well as interdecadal variability. On the basis of potential teleconnections between regional droughts and climate indices, SPI‐based drought forecasting models are developed with up to 3 months' lead time. As traditional statistical forecast models are unable to capture nonlinearity and nonstationarity associated with drought forecasts, a machine learning technique, namely, support vector regression (SVR), is adopted to forecast the drought index, and the copula method is used to model the joint distribution of observed and predicted drought index. The copula‐based conditional distribution of an observed drought index conditioned on predicted drought index is utilized to simulate ensembles of drought forecasts. Two variants of drought forecast models are developed, namely a single model for all the periods in a year and separate models for each of the four seasons in a year. The performance of developed models is validated for predicting drought time series for 10 years' data. Improvement in ensemble prediction of drought indices is observed for combined seasonal model over the single model without seasonal partitions. The results show that the proposed SVM–copula approach improves the drought prediction capability and provides estimation of uncertainty associated with drought predictions. Copyright © 2013 John Wiley & Sons, Ltd.  相似文献   

Building a model-based personalised recommendation approach for tourist attractions from geotagged social media data     

Xiaoyu Sun  Xia Peng  Yiran Chen  Yu Liu 《International Journal of Digital Earth》2019,12(6):661-678

When travelling, people are accustomed to taking and uploading photos on social media websites, which has led to the accumulation of huge numbers of geotagged photos. Combined with multisource information (e.g. weather, transportation, or textual information), these geotagged photos could help us in constructing user preference profiles at a high level of detail. Therefore, using these geotagged photos, we built a personalised recommendation system to provide attraction recommendations that match a user's preferences. Specifically, we retrieved a geotagged photo collection from the public API for Flickr (Flickr.com) and fetched a large amount of other contextual information to rebuild a user's travel history. We then created a model-based recommendation method with a two-stage architecture that consists of candidate generation (the matching process) and candidate ranking. In the matching process, we used a support vector machine model that was modified for multiclass classification to generate the candidate list. In addition, we used a gradient boosting regression tree to score each candidate and rerank the list. Finally, we evaluated our recommendation results with respect to accuracy and ranking ability. Compared with widely used memory-based methods, our proposed method performs significantly better in the cold-start situation and when mining ‘long-tail’ data.  相似文献   

Geospatial data mining for digital raster mapping     

Bruce K. Wylie  Neal J. Pastick  Joshua J. Picotte  Carol A. Deering 《地理信息系统科学与遥感》2019,56(3):406-429

We performed an in-depth literature survey to identify the most popular data mining approaches that have been applied for raster mapping of ecological parameters through the use of Geographic Information Systems (GIS) and remotely sensed data. Popular data mining approaches included decision trees or “data mining” trees which consist of regression and classification trees, random forests, neural networks, and support vector machines. The advantages of each data mining approach as well as approaches to avoid overfitting are subsequently discussed. We also provide suggestions and examples for the mapping of problematic variables or classes, future or historical projections, and avoidance of model bias. Finally, we address the separate issues of parallel processing, error mapping, and incorporation of “no data” values into modeling processes. Given the improved availability of digital spatial products and remote sensing products, data mining approaches combined with parallel processing potentials should greatly improve the quality and extent of ecological datasets.  相似文献   

平原地区高潜水位采煤塌陷综合治理研究——以兖州煤田为例     

姬宗皓  高彦生  甄洪帅  赵永海  宋炳忠 《山东国土资源》2019,35(12)

煤炭资源的开采引发了采煤塌陷、农田损毁、生态破坏、农民失地等后果,给矿区带来了一系列经济、社会、环境问题。该文以兖州煤田为例,对平原地区高潜水位条件下煤炭开采引起的地表塌陷现状进行调查,充分掌握了塌陷区土地利用现状、塌陷区稳沉状况及破坏现状。分析了兖州煤田采煤塌陷区的土地损毁特点,研究了塌陷区综合治理的手段和方法,针对性地提出了高潜水位地区采煤塌陷综合治理的途径,为采煤塌陷区的规划治理提供了参考。  相似文献   

南海北部海域油气勘探保障建设选址适宜性研究     

武二亮  陈浩东  刘裕光  安永宁 《海岸工程》2020,39(4):256-262

为分析南海北部海域油气勘探保障建设选址的适宜性,在广泛研究备选区特征资料的基础上,基于层次分析法(Analytic Hierarchy Process, AHP)原理,以自然环境因素、开发环境因素、基础设施与投资情况以及其他因素作为一级评判准则,建立了包括12项二级评判准则的递进层次结构模型,并以永兴岛、赵述岛和晋卿岛作为3个假定备选区,来验证分析评价模型的有效性和可靠性。AHP评判结果显示,3个备选区的整体优劣指数依次为0.587 1, 0.212 1, 0.200 8;AHP模型的一致性比例CR值为0.020 3。通过分析和筛选影响远海油气勘探保障建设的选址因子,构建基于AHP原理的选址评价模型,可用于分析评价南海北部岛礁油气勘探保障建设选址的适宜性。  相似文献