草原旅游发展的实践及空间格局研究   总被引：6，自引：0，他引：6  

吕君  刘丽梅 《世界地理研究》2006,15(4):100-106

草原以其辽阔、坦荡的景观以及风土人情构成一类旅游目的地,世界上拥有大片草原的国家都非常重视草原旅游业的发展。我国草原旅游发展也较快,形成了不同空间类型、不同植被景观类型和不同人文与自然结合类型的旅游发展格局,其中又以内蒙古最为突出。但是,由于草原生态系统的脆弱性,决定了草原旅游发展存在脆弱性,因此,在开发中需要更加严格的科学规划和管理。  相似文献   

Application of back-propagation networks in debris flow prediction   总被引：6，自引：0，他引：6  

Tung-Chueng Chang  Ru-Jen Chao   《Engineering Geology》2006,85(3-4):270-280

Debris flows have caused serious loss of human lives and a lot of damage to properties in Taiwan over the past decades. Moreover, debris flows have brought massive mud causing water pollution in reservoirs and resulted in water shortage for daily life locally and affected agricultural irrigation and industrial usages seriously. A number of methods for prediction of debris flows have been studied. However, the successful prediction ratio of debris flows cannot always maintain a stable and reliable level. The objective of this study is to present a stable and reliable analytical model for occurrence predictions of debris flows. This study proposes an Artificial Neural Networks (ANN) model that was constructed by seven significant factors using back-propagation (BP) algorithm. These seven factors include (1) length of creek, (2) average slope, (3) effective watershed area, (4) shape coefficient, (5) median size of soil grain, (6) effective cumulative rainfall, and (7) effective rainfall intensity. A total of 178 potential cases of debris flows collected in eastern Taiwan were fed into the ANN model for training and testing. The average ratio of successful prediction reaching 93.82% demonstrates that the presented ANN model with seven significant factors can provide a stable and reliable result for the prediction of debris flows in hazard mitigation and guarding systems.  相似文献   

Modeling the cyclic swelling pressure of mudrock using artificial neural networks     

M. Moosavi  M.J. Yazdanpanah  R. Doostmohammadi 《Engineering Geology》2006,87(3-4):178-194

The stochastic nature of the cyclic swelling behavior of mudrock and its dependence on a large number of interdependent parameters was modeled using Time Delay Neural Networks (TDNNs). This method has facilitated predicting cyclic swelling pressure with an acceptable level of accuracy where developing a general mathematical model is almost impossible. A number of total pressure cells between shotcrete and concrete walls of the powerhouse cavern at Masjed–Soleiman Hydroelectric Powerhouse Project, South of Iran, where mudrock outcrops, confirmed a cyclic swelling pressure on the lining since 1999. In several locations, small cracks are generated which has raised doubts about long term stability of the powerhouse structure. This necessitated a study for predicting future swelling pressure. Considering the complexity of the interdependent parameters in this problem, TDNNs proved to be a powerful tool. The results of this modeling are presented in this paper.  相似文献   

基于气象因子的华中电网负荷预测方法研究   总被引：7，自引：0，他引：7       下载免费PDF全文

胡江林  洪斌等 《应用气象学报》2002,13(5):600-608

在分析各种节假日负荷变化规律的基础上, 利用气象因子作预报变量, 使用动态的综合线性回归和自回归相结合的混合线性回归方法及非线性的人工神经网络方法来进行华中电网日负荷和日最大负荷及日最小负荷的预测。对12个月共365天的独立样本试预报表明, 该客观方案对华中电网负荷的预测精度可满足业务调度的需要。  相似文献   

基于GIS与ANN耦合技术的地裂缝灾情非线性模拟预测系统——以山西榆次地裂缝灾害为例   总被引：4，自引：0，他引：4       下载免费PDF全文

武强  陈珮珮  董东林  孙卫东  魏迎春 《地震地质》2002,24(2):249-257

现代地裂缝在世界许多国家普遍存在 ,已成为当今世界范围内的主要地质灾害之一。本文在详尽分析了山西榆次地裂缝的各个致灾因子的基础上 ,利用GIS技术建立了地质学意义上的专题层 ;然后采用人工神经网络技术构建出了地裂缝灾害活动性的评价模型 ,并建立了地裂缝活动性的评价系统 ,对榆次地裂缝进行了灾害活动性评价 ,为榆次市城建和国土规划等部门的正确决策提供了重要的科学依据  相似文献   

喀什"奇异震群"与构造地震的对比研究     

夏爱国  刘永廷  缑兰兰 《内陆地震》2002,16(3):193-204

20 0 1年 11月 14、 15日新疆喀什台记录到 86次振动事件 (“奇异震群”事件 )。为识别其性质 ,应用波谱分析、偏振分析等方法 ,对该事件和同范围构造地震的地震波特征进行了对比研究 ,发现 :(1)喀什“震群”的全波列衰减比构造地震的全波列衰减快很多 ;(2 )与构造地震的速度谱相比 ,“震群”的频谱相对较为“集中”,而构造地震的则较为“发散”;(3)“震群”位移谱的拐角频率和卓越频率均较构造地震的相应量高出一倍多 ,且离散较小。通过对喀什“奇异震群”这些特征进行分析研究 ,认为这一事件极有可能是人工事件  相似文献   

川西北高原若尔盖草地沙化及湿地萎缩动态遥感监测   总被引：61，自引：2，他引：61  

雍国玮  石承苍  邱鹏飞 《山地学报》2003,21(6):758-762

应用卫星遥感资料(MSS、TM及spot)对川西北高原若尔盖草地沙化及湿地萎缩的动态监测发现，自1966年至2000年的34年间，草地沙化面积增加307．7％，达到36760．9hm^2，占区域总面积的7．25％，平均每年扩大草地沙化面积816．0hm^2，年均递增率达4．22％。到2000年止，区域内有沙地5083．9hm^2，沙化草地31677．0hm^2。自1985～2000年的15a间，区内17个湖泊面积缩小842．0hm^2，减幅达38．9％，平均每年减少56．1hm^2，年均递减速度达3．34％，该区目前其余11个湖泊总面积仅为1323．1hm^2，只有15年前的61．1％。  相似文献   

Seasonal variation of the soil seed bank of grasses in central Argentina as related to grazing and shrub cover   总被引：1，自引：0，他引：1  

M. D. Mayor  R. M. Bo  D. V. Pelez  O. R. Elía 《Journal of Arid Environments》2003,53(4):467

The objectives of this research were to (a) study seasonal variation of the seed bank of grasses in two areas with different grazing history, (b) analyse the effect of the presence of shrubs on the seed bank and (c) study seed viability and dormancy in buried seeds of Piptochaetium napostaense and Stipa tenuis. The seed density of grasses was in general low and showed seasonal variation. Most of the grasses showed maximum seed density in December when seed dispersal occurs. Shrub cover did not show a marked influence in seed accumulation. The relatively high number of damaged seeds suggests that predation may be an important factor in seed bank dynamics in the Caldenal. Seeds of dominant perennial forage grasses showed dormancy that could explain, at least in part, persistence of these species in spite of periodical disturbance.  相似文献   

红板岩材料隐式本构模型的建立及其应用研究     

邹光华  朱建明 《工程地质学报》2003,11(3):258-262

针对红板岩材料在岩土工程中所表现的大量模糊的和不确定的因素等特点,基于人工神经网络的学习能力,借助于室内岩石力学试验,进行了对该材料的力学本构特性进行了神经网络模拟研究,提出了隐式本构模型的思想和方法,并通过该方法对该岩石的流变试验结果进行学习,获得了以网络权值结构保存的力学特性知识,由此得到了表征红板岩应力应变本构关系的隐式本构模型。应用结果表明,该方法对岩土类材料本构关系的模拟研究具有很好的应用前景。  相似文献   

神经网络技术在地面沉降区划中的应用研究   总被引：1，自引：2，他引：1  

武建强  余勤 《江苏地质》2003,27(3):171-174

复杂的第四系沉积环境构成地面沉降的地质背景，在对比分析第四系厚度、地下水位、含水层以及软土层发育程度的基础上，尝试性地运用人工神经网络技术对苏锡常地区地面沉降易发区进行识别。除基岩出露区外全区共被划分成4类块段，这种分布与第四系条件具有很强的空间相关性，经检验具有较高的可信度。  相似文献