Simulation of landscape spatial layout evolution in rural-urban fringe areas: a case study of Ganjingzi District   总被引：2，自引：0，他引：2  

Jun Yang  Andong Guo  Yonghua Li  Yuqing Zhang  Xueming Li 《地理信息系统科学与遥感》2019,56(3):388-405

In recent years, the rapid expansion of urban spaces has accelerated the mutual evolution of landscape types. Analyzing and simulating spatio-temporal dynamic features of urban landscape can help to reveal its driving mechanisms and facilitate reasonable planning of urban land resources. The purpose of this study was to design a hybrid cellular automata model to simulate dynamic change in urban landscapes. The model consists of four parts: a geospatial partition, a Markov chain (MC), a multi-layer perceptron artificial neural network (MLP-ANN), and cellular automata (CA). This study employed multivariate land use data for the period 2000–2015 to conduct spatial clustering for the Ganjingzi District and to simulate landscape status evolution via a divisional composite cellular automaton model. During the period of 2000–2015, construction land and forest land areas in Ganjingzi District increased by 19.43% and 15.19%, respectively, whereas farmland, garden lands, and other land areas decreased by 43.42%, 52.14%, and 75.97%, respectively. Land use conversion potentials in different sub-regions show different characteristics in space. The overall land-change prediction accuracy for the subarea-composite model is 3% higher than that of the non-partitioned model, and misses are reduced by 3.1%. Therefore, by integrating geospatial zoning and the MLP-ANN hybrid method, the land type conversion rules of different zonings can be obtained, allowing for more effective simulations of future urban land use change. The hybrid cellular automata model developed here will provide a reference for urban planning and policy formulation.  相似文献   

Linking pesticides and human health: A geographic information system (GIS) and Landsat remote sensing method to estimate agricultural pesticide exposure     

《Applied geography (Sevenoaks, England)》2015

Accurate pesticide exposure estimation is integral to epidemiologic studies elucidating the role of pesticides in human health. Humans can be exposed to pesticides via residential proximity to agricultural pesticide applications (drift). We present an improved geographic information system (GIS) and remote sensing method, the Landsat method, to estimate agricultural pesticide exposure through matching pesticide applications to crops classified from temporally concurrent Landsat satellite remote sensing images in California. The image classification method utilizes Normalized Difference Vegetation Index (NDVI) values in a combined maximum likelihood classification and per-field (using segments) approach. Pesticide exposure is estimated according to pesticide-treated crop fields intersecting 500 m buffers around geocoded locations (e.g., residences) in a GIS. Study results demonstrate that the Landsat method can improve GIS-based pesticide exposure estimation by matching more pesticide applications to crops (especially temporary crops) classified using temporally concurrent Landsat images compared to the standard method that relies on infrequently updated land use survey (LUS) crop data. The Landsat method can be used in epidemiologic studies to reconstruct past individual-level exposure to specific pesticides according to where individuals are located.  相似文献   

基于逻辑回归CA模型的溢油模拟与预测     

张亦汉  吴秉琦  吴青 《测绘与空间地理信息》2015,(6):10-12

结合逻辑回归方法和元胞自动机模型构建了逻辑回归CA模型,模型中的逻辑回归方法能够很方便地获取影响因子的权重,再设置起止条件等,便可以模拟出溢油的动态变化情况。把模型应用到Deep Spill项目的溢油模拟实验中,结果表明,从模型结果的形态看,模拟结果与检验结果吻合程度较高,能够很好地模拟出溢油扩散与漂移等重要的溢油特性。从统计分析中可知,模拟结果的总精度可达96.8%,Kappa系数达到0.834。  相似文献   

基于CA模型的佛山市建设用地动态变化研究     

毛华锐  杨武年  桑学佳 《地理信息世界》2014,(5)

元胞自动机具有能模拟复杂动态系统的强大能力,本文采用了多约束条件的元胞自动机模型,以广东佛山市2000年、2006年和2012年建设用地的变化为例,从自然、社会经济发展等方面综合考虑选取了高程、坡度、人口密度、道路交通、水系等对城市建设用地发展变化起决定作用的诸多因子,利用马尔科夫概率矩阵计算2000年~2006年建设用地变化,推算建设用地转移总量。结合Logistic-CA模型和决策树-CA模型,预测模拟了2012年的建设用地分布并与实际相比较,分析其整体精度和误差来源。结果显示基于CA模型的建设用地动态发展模拟具有良好的效果,可以为城市的发展规划,过程演变提供虚拟的实验手段和科学依据。  相似文献   

基于CA模型的佛山市建设用地动态变化研究     

毛华锐  杨武年  桑学佳 《测绘软科学研究》2014,(5):19-23

元胞自动机具有能模拟复杂动态系统的强大能力,本文采用了多约束条件的元胞自动机模型,以广东佛山市2000年、2006年和2012年建设用地的变化为例,从自然、社会经济发展等方面综合考虑选取了高程、坡度、人口密度、道路交通、水系等对城市建设用地发展变化起决定作用的诸多因子,利用马尔科夫概率矩阵计算2000年～2006年建设用地变化,推算建设用地转移总量。结合Logistic-CA模型和决策树-CA模型,预测模拟了2012年的建设用地分布并与实际相比较,分析其整体精度和误差来源。结果显示基于CA模型的建设用地动态发展模拟具有良好的效果,可以为城市的发展规划,过程演变提供虚拟的实验手段和科学依据。  相似文献   

基于人工蜂群CA模型的南京市土地利用变化模拟与预测     

吴掠桅  刘耿 《测绘通报》2022,(2):95-99

以南京市为例,构建人工蜂群元胞自动机（CA_ABC）模型,对2000—2007年的土地利用变化进行模拟以实现CA_ABC模型的校正,并以2007—2015年的土地利用变化为案例,验证该模型的有效性。模拟结果总体精度（OA）2007年为87.79%,2015年为80.61%;模拟结果的品质因数（FOM）2007年为21.23%,2015年为19.25%。基于CA_ABC模型和马尔可夫链预测未来城市土地总量,对南京市2025和2035年的土地利用格局进行了预测,对城市扩张和生态用地被侵占现象进行分析。模型预测结果表明,未来20年的城市扩张主要以牺牲耕地和林地为代价,2025和2035年80%的城市扩张面积来源于对耕地面积的侵占,17%的城市面积扩张是由2015年的林地转换得到的。研究表明,准确模拟、预测未来城市格局及评估城市扩张能够对生态用地侵占,以及为决策者合理规划城市、推动城市可持续发展提供帮助。  相似文献   

PKI安全认证模型的分析与研究   总被引：2，自引：0，他引：2  

张仕斌  何大可  盛志伟 《成都信息工程学院学报》2006,21(3):339-343

在开放式网络环境中,实现诸多安全服务,最重要的问题之一就是要解决网络中各实体之间的安全认证问题.安全认证模型作为网络安全技术的重要前提和基础,正日益成为网络信息安全领域研究的焦点.在对传统PKI认证模型分析的基础上,提出了一种全新的PKI安全认证模型,着重研究了PKI安全认证模型的体系结构,提出了适合于国家级的PKI安全认证模型.这为构建国家级PKI安全认证模型的研究提供了一个有价值的新思路.  相似文献   

桂林毛村不同植被类型土壤微生物数量与碳酸酐酶活性比较          下载免费PDF全文

黄芬  黄艳梅  杨利超  白冰  曹建华 《地质论评》2016,62(1):94-102

以非岩溶区林地为对比,分析了桂林毛村岩溶区4种不同植被类型土壤微生物数量及碳酸酐酶(CA)活性的季度动态变化规律,发现以下主要结果:1随着植被的正向演替,岩溶区弃耕地、草地、灌丛及林地微生物数量及CA活性逐渐升高,微生物总数从64.07×10~4cfu/g上升到178.23×10~4cfu/g,CA活性从0.77 U/g上升到1.82 U/g,岩溶区林地大于非岩溶区林地。2在岩溶区不同植被类型,微生物组成均表现为细菌最多(平均值95.14%),放线菌次之(平均值2.79%),真菌数量最少(平均值1.75%)。而在非岩溶区表现为细菌最多(平均值90.95%),真菌次之(平均值5.32%),放线菌最少(平均值3.73%)。3微生物数量季节动态整体表现为春季至夏季逐渐上升,至秋季达到最高,冬季下降,微生物总数的增长依赖于细菌的倍数增长,真菌和放线菌影响较小。CA活性整体表现为夏季和冬季低于春季和秋季,秋季达到最大值。4 CA活性与细菌及微生物总数呈极显著的正相关,表明土壤CA主要来源于细菌的分泌。  相似文献   

PKI中RA的功能模型及一种实现方式     

张元茂  刘玓 《成都信息工程学院学报》2005,20(1):12-15

网络安全是近年来研究的热点，各种新技术不断涌现，身份认证是安全应用中最重要的一个问题，也是PKI的核心服务之一。PKI作为信息安全的基石经过几年的发展不断走向成熟，在许多领域发挥着重要的作用。针对目前对PKI中的重要部件RA的研究很少的状况，着重对RA的实现模型进行了探讨。  相似文献   

Dating alluvial deposits with optically stimulated luminescence, AMS C and cosmogenic techniques, western Transverse Ranges, California, USA     

S.B. DeLong  L.J. Arnold 《Quaternary Geochronology》2007,2(1-4):129-136

In an effort to better understand chronology of alluvial episodes in Cuyama Valley in the western Transverse Ranges of California, USA, we employed optically stimulated luminescence, radiocarbon and cosmogenic radionuclide surface exposure dating methods. Twenty-one optical dates ranging from 0.01 to 27 ka were obtained from exposures of late-Holocene axial-fluvial deposits, Pleistocene–Holocene alluvial-fan deposits, and axial-fluvial sands interbedded within a late Pleistocene alluvial fan. These were cross-checked with 37 AMS radiocarbon dates from charcoal and wood from within a and five ¹⁰Be surface exposure dates from boulders on alluvial-fan surfaces. The OSL results show generally good stratigraphic consistency, logical comparison with the radiocarbon and cosmogenic data, and appear to be the best method for accurate dating within deposits of this nature because suitable material is fairly easy to find in these environments. The radiocarbon data contained numerous “detrital ages”, but well-bedded lenses of apparently in situ or minimally transported charcoal provide reliable age estimates for the associated alluvium. Radiocarbon dating of detrital charcoal in the older alluvial fan deposits was problematic. Our cosmogenic surface-exposure dating was consistent stratigraphically and with our other data, but we were unable to determine its accuracy due to the limited number of samples and the possibility of inherited radionuclides and post-depositional erosion. In light of our results, we suggest that OSL dating using the latest analytical techniques combined with rigorous methods for estimation of paleodase is reliable and of increasing utility in otherwise difficult-to-date coarse alluvial environments in the southwestern United States and elsewhere.  相似文献