旅游活动对鼎湖山生物圈保护区植被的影响   总被引：2，自引：0，他引：2  

肖光明  黄忠良 《地理研究》2010,29(6):1005-1016

以鼎湖山生物圈保护区为例,采用敏感水平、群落景观重要值、物种多样性信息指数、阴生种比例、伴人植物比例和旅游影响系数等指标,对旅游活动与植被环境的关系和景区管理水平进行了分析评价。研究表明:(1)旅游影响系数与植被环境质量评价指标之间、植被环境质量各项评价指标之间、旅游影响系数内部各因子之间均存在不同程度的相关性。敏感水平值越大,群落景观重要值、阴生种比例值越小,物种多样性信息指数、伴人植物比例、旅游影响系数值越大;旅游影响系数越大,敏感水平、物种多样性信息指数、伴人植物比例越大,群落景观重要值、阴生种比例越小;旅游影响系数与其各影响因子均呈正相关,即旅游影响系数越大,枯枝落叶层越薄、草本层盖度越小、幼苗量越小、折枝数量越多、垃圾量越大。研究结果与鼎湖山旅游发展的实践基本相符,客观上揭示了旅游活动对植被影响的规律和特点;(2)根据旅游影响系数分级标准,鼎湖山景区质量管理水平总体可定为中上水平,但个别地段存在环境隐患,有必要进一步提高管理水平。  相似文献   

Gully erosion spatial modelling: Role of machine learning algorithms in selection of the best controlling factors and modelling process     

《地学前缘(英文版)》2020,11(6):2207-2219

This investigation assessed the efficacy of 10 widely used machine learning algorithms (MLA) comprising the least absolute shrinkage and selection operator (LASSO), generalized linear model (GLM), stepwise generalized linear model (SGLM), elastic net (ENET), partial least square (PLS), ridge regression, support vector machine (SVM), classification and regression trees (CART), bagged CART, and random forest (RF) for gully erosion susceptibility mapping (GESM) in Iran. The location of 462 previously existing gully erosion sites were mapped through widespread field investigations, of which 70% (323) and 30% (139) of observations were arbitrarily divided for algorithm calibration and validation. Twelve controlling factors for gully erosion, namely, soil texture, annual mean rainfall, digital elevation model (DEM), drainage density, slope, lithology, topographic wetness index (TWI), distance from rivers, aspect, distance from roads, plan curvature, and profile curvature were ranked in terms of their importance using each MLA. The MLA were compared using a training dataset for gully erosion and statistical measures such as RMSE (root mean square error), MAE (mean absolute error), and R-squared. Based on the comparisons among MLA, the RF algorithm exhibited the minimum RMSE and MAE and the maximum value of R-squared, and was therefore selected as the best model. The variable importance evaluation using the RF model revealed that distance from rivers had the highest significance in influencing the occurrence of gully erosion whereas plan curvature had the least importance. According to the GESM generated using RF, most of the study area is predicted to have a low (53.72%) or moderate (29.65%) susceptibility to gully erosion, whereas only a small area is identified to have a high (12.56%) or very high (4.07%) susceptibility. The outcome generated by RF model is validated using the ROC (Receiver Operating Characteristics) curve approach, which returned an area under the curve (AUC) of 0.985, proving the excellent forecasting ability of the model. The GESM prepared using the RF algorithm can aid decision-makers in targeting remedial actions for minimizing the damage caused by gully erosion.  相似文献   

天津海域春夏季节游泳动物的组成特征   总被引：1，自引：1，他引：0  

缴建华  白明  李彤 《海洋科学》2017,41(9):13-20

根据2014年5月及8月在天津海域进行的底拖网调查资料,对该海域游泳动物组成特征进行了初步研究。结果表明,在该海域共捕获游泳动物36种,平均资源密度为126 297.13个/km~2和1 494.40 kg/km~2。以个体密度计算群落多样性,Shannon-Wiener种类多样性指数H′平均为1.803,Margalef种类丰富度指数d平均为0.592,Pielou种类均匀度指数J平均为0.537。资源密度及物种多样性,8月均优于5月。优势种为口虾蛄,重要种为火枪乌贼、日本、斑、六丝钝尾虾虎鱼。天津近岸海域游泳动物渔业资源呈现出低质化的趋势。  相似文献   

Vegetation patterns and species–environment relationships in the Gurbantunggut Desert of China     

QIAN Yibing  WU Zhaoning  ZHAO Ruifeng  ZHANG Liyun 《地理学报》2008,18(4):400-414

The Gurbantunggut Desert is the largest stable and semi-stable sand desert in China, yet few data exist on vegetation pattern and species-environment relationships for these diverse desert landscapes. The sand dunes of the survey area are mainly of the longitudinal form from north to south, but checkerboard-shaped and honeycomb-shaped forms are also present, with the height of 10–50 m. We measured vegetation and soil data on north–south transects and compared them with vegetation and soil data on east–west transects. Analysis revealed that the varying trend and strength of the species diversity, dominance and cover of the plant communities in the longitudinal and transverse directions across the landscape are significantly different. The results of CCA ordination show that the microhabitats of soil organic matter (OM), soil salts (TS), sorting index (σ), topsoil water-content (SM) and pH relate to the differences in vegetation observed as differences in species assemblage from salt-intolerant ephemerals, micro-subshrubs and subshrubs to salt-tolerant shrubs and micro-arbors. The terrain (alt.) and soil texture (the contents of Mz and φ1) affect the spatial differentiation of many species. However, this spatial differentiation is not so marked on transects running longitudinally with the landscape, in the same direction as the dunes. The species of the desert vegetation have formed three assemblages under the action of habitat gradients, relating to three sections running transversely across the landscape, at right angles to the direction of the dune crests. In the mid-east section of the study area the topography is higher, with sand-lands or dune-slopes with coarse particles. Here the dominant vegetation comprises shrubs and subshrubs of Seriphidium santolium and Ephedra distachya, with large numbers of ephemeral and ephemeroid plants of Senecio subdentatus, and Carex physodes in spring and summer. On the soil of the dune-slopes in the mid-west of the study area, with coarse particles and abundant TK, the plant assemblage of Haloxylon persicum, Soranthus meyeri and Agriophyllum squarrosum is developed. The species composition in the east marginal belt of the study area has similar characteristics to the mid-west section. There is no corresponding section in the north–south transects (except for the north and south margins). This is because the habitats of most plants are located in the middle of the microhabitat gradients in the north–south direction in the desert.  相似文献   

Efficient sampling and data reduction techniques for probabilistic seismic lifeline risk assessment     

Nirmal Jayaram  Jack W. Baker 《地震工程与结构动力学》2010,39(10):1109-1131

Probabilistic seismic risk assessment for spatially distributed lifelines is less straightforward than for individual structures. While procedures such as the ‘PEER framework’ have been developed for risk assessment of individual structures, these are not easily applicable to distributed lifeline systems, due to difficulties in describing ground‐motion intensity (e.g. spectral acceleration) over a region (in contrast to ground‐motion intensity at a single site, which is easily quantified using Probabilistic Seismic Hazard Analysis), and since the link between the ground‐motion intensities and lifeline performance is usually not available in closed form. As a result, Monte Carlo simulation (MCS) and its variants are well suited for characterizing ground motions and computing resulting losses to lifelines. This paper proposes a simulation‐based framework for developing a small but stochastically representative catalog of earthquake ground‐motion intensity maps that can be used for lifeline risk assessment. In this framework, Importance Sampling is used to preferentially sample ‘important’ ground‐motion intensity maps, and K‐Means Clustering is used to identify and combine redundant maps in order to obtain a small catalog. The effects of sampling and clustering are accounted for through a weighting on each remaining map, so that the resulting catalog is still a probabilistically correct representation. The feasibility of the proposed simulation framework is illustrated by using it to assess the seismic risk of a simplified model of the San Francisco Bay Area transportation network. A catalog of just 150 intensity maps is generated to represent hazard at 1038 sites from 10 regional fault segments causing earthquakes with magnitudes between five and eight. The risk estimates obtained using these maps are consistent with those obtained using conventional MCS utilizing many orders of magnitudes more ground‐motion intensity maps. Therefore, the proposed technique can be used to drastically reduce the computational expense of a simulation‐based risk assessment, without compromising the accuracy of the risk estimates. This will facilitate computationally intensive risk analysis of systems such as transportation networks. Finally, the study shows that the uncertainties in the ground‐motion intensities and the spatial correlations between ground‐motion intensities at various sites must be modeled in order to obtain unbiased estimates of lifeline risk. Copyright © 2010 John Wiley & Sons, Ltd.  相似文献   

基于Monte Carlo-BP神经网络TBM掘进速度预测   总被引：1，自引：0，他引：1  

温森  赵延喜  杨圣奇 《岩土力学》2009,30(10):3127-3132

预测隧道工程中TBM掘进速度,主要有完全经验的、半理论半经验的模型和人工智能等方法,所用参数均为确定性的,未考虑参数存在的随机性,故导致预测结果的不准确性。基于此,提出了Monte Carlo-BP神经网络TBM掘进速度预测模型,着重考虑了一些重要输入参数的随机性, 其中输入参数重要性的大小通过粗糙集进行计算排序。采用Monte Carlo产生随机数时,由于参量的样本数据的有限,分布函数均采用阶梯形经验分布函数。如果采用的数据是来自不同类型的 TBM,则应当考虑机器性能参数,并重新对参数重要性进行排序。实例计算表明,Monte Carlo-BP神经网络模型预测结果和实测值总体趋势和均值比较一致。  相似文献   

多源异构日志综合分析技术研究与实践     

刘必雄 《南京气象学院学报》2011,(4):365-370

多源异构日志分析技术是目前国内外网络安全领域的研究热点.首先,提出了一种包括聚焦分析、统计分析和因果关联分析在内的多源异构日志综合分析模型,引入重要度评价方法对日志信息进行聚焦分析,并通过实例加以说明;然后探讨了多源日志因果关联分析算法;最后利用网络实例数据,对所提出的综合分析模型和算法进行了验证.结果表明该模型和算法是可行的和有效的.  相似文献   

Predictor Selection for CNN-based Statistical Downscaling of Monthly Precipitation     

Dangfu YANG  Shengjun LIU  Yamin HU  Xinru LIU  Jiehong XIE  Liang ZHAO 《大气科学进展》2023,40(6):1117-1131

Convolutional neural networks(CNNs) have been widely studied and found to obtain favorable results in statistical downscaling to derive high-resolution climate variables from large-scale coarse general circulation models(GCMs).However, there is a lack of research exploring the predictor selection for CNN modeling. This paper presents an effective and efficient greedy elimination algorithm to address this problem. The algorithm has three main steps: predictor importance attribution, predictor rem...  相似文献   

机器学习法在面向对象影像分类中的对比分析     

赵丹平  顾海燕  贾莹 《测绘科学》2016,41(10):181-186

针对如何选择遥感影像面向地理对象分类方法的问题,该文面向地理国情普查中的地表覆盖分类应用,以3个典型区域(山区、平原、城区)的多源高分辨率遥感影像为实验数据,从分类效果、分类精度等方面对比分析3种分类方法(支持向量机、决策树、随机森林)的优劣。在相同影像分割、特征提取、样本采集条件下,通过333组分类实验,得出以下规律:支持向量机分类方法稳定性强,分类速度快,但对特征数的要求高,特征数目与总体精度、地物环境之间的规律性不强,从而增加了特征提取与选择的难度,而随着特征的增加,决策树、随机森林的总体分类精度均为先升高后降低,最后趋于平衡。最后,综合随机森林对特征的优选机制和支持向量机的高分类精度,得到新的组合分类器。  相似文献   

延龙图地区城市生态用地生态重要性空间识别与保护   总被引：1，自引：0，他引：1  

李明玉  田丰昊  董玉芝 《地理科学》2016,36(12):1870-1876

采用加权指数求和法,从生态服务功能、景观生态空间格局以及生态敏感性3方面建立生态重要性空间识别指标体系,通过专家咨询和层次分析法确定各评价指标分级赋值标准和权重,结合GIS空间分析功能对“延龙图”（延吉-龙井-图们）地区生态用地的生态重要性进行空间识别,将其划分为3个级别：极重要、重要和一般重要,以反映不同生态用地保护级别和建设管制要求。结果表明,延龙图地区极重要生态用地占生态用地面积的25.720%,主要为耕地、林地和水域;重要生态用地占生态用地面积的39.500%,主要为林地和耕地;一般重要生态用地占生态用地面积的34.780%,以林地为主。  相似文献