Quantification of spatial gradation of slope positions   总被引：6，自引：0，他引：6  

Cheng-Zhi Qin  A-Xing Zhu  Xun Shi  Bao-Lin Li  Tao Pei  Cheng-Hu Zhou 《Geomorphology》2009,110(3-4):152-161

Transition between slope positions (e.g., ridge, shoulder slope, back slope, foot slope, and valley) is often gradual. Quantification of spatial transitions or spatial gradations between slope positions can increase the accuracy of terrain parameterization for geographical or ecological modeling, especially for digital soil mapping at a fine scale. Current models for characterizing the spatial gradation of slope positions based on a gridded DEM either focus solely on the parameter space or depend on too many rules defined by topographic attributes, which makes such approaches impractical. The typical locations of a slope position contain the characteristics of the slope position in both parameter space and spatial context. Thus, the spatial gradation of slope positions can be quantified by comparing terrain characteristics (spatial and parametrical) of given locations to those at typical locations. Based on this idea, this paper proposes an approach to quantifying the spatial gradation of slope positions by using typical locations as prototypes. This approach includes two parts: the first is to extract the typical locations of each slope position and treat them as the prototypes of this position; and the second is to compute the similarity between a given location and the prototypes based on both local topographic attributes and spatial context. The new approach characterizes slope position gradation in both the attribute domain (i.e., parameter space) and the spatial domain (i.e., geographic space) in an easy and practicable way. Applications show that the new approach can quantitatively describe spatial gradations among a set of slope positions. Comparison of spatial gradation of A-horizon sand percentages with the quantified spatial gradation of slope positions indicates that the latter reflects slope processes, confirming the effectiveness of the approach. The comparison of a soil subgroup map of the study area with the maximum similarity map derived from the approach also suggests that the quantified spatial gradation of slope position can be used to aid geographical modeling such as digital soil mapping.  相似文献   

贵州典型喀斯特县域生态环境脆弱度等级划分   总被引：12，自引：1，他引：11  

王言荣  刘洁  屠玉麟 《中国岩溶》2002,21(3):221-225

以贵州省46个典型喀斯特县域作为研究对象,共选取5大类19项指标,通过层次分析法计算出各指标的相对权重,采用模糊综合评判方法对各县生态环境脆弱度进行计算和定量评价,并根据最大隶属原则把46个典型喀斯特县份分别划分于极度脆弱、强度脆弱、中度脆弱和轻度脆弱四种不同脆弱等级。计算结果表明,贵州喀斯特地区生态环境脆弱形势十分严重,在46个典型的喀斯特县份中,有31个县属于强度脆弱或极强脆弱,11个县属于中等脆弱,属于轻度脆弱的只有4个县。   相似文献   

广东沿海陆地地质环境质量定量评价研究   总被引：13，自引：1，他引：12  

闫洪存  李华梅等 《工程地质学报》2000,8(4):416-425

广东沿海陆地不仅是我国经济较为发达的地区 ,而且也是地震、水土流失、崩塌、滑坡、地裂缝、地面沉降、岩溶塌陷、软土地基形变等地质灾害较为频发的地区。基于对广东沿海陆地主要物理地质灾害形成条件与影响因素调查、统计与分析 ,将广东沿海陆地地质环境质量划分 :构造稳定性、斜坡稳定性和地基稳定性三个质量层面 ,进而构造了隶属三个层面的指标体系 ,该指标体系包括活动断裂、地震活动、地形起伏度、斜坡坡地、冲沟切割密度、水土流失程度、崩滑面密度、土体承载力和地裂缝面密度 9个指标。基于地质环境质量五值逻辑等级取值 :优等、良好、中等、较差和差等 ,对评价指标进行了相应地量化分级取值和标准化处理 ,在建立指标专家权重体系和线性隶属函数的基础上 ,构造了模糊数学综合评价模型。基于 Fortran程序对 190个剖分单元指标数据进行了模型运算 ,将广东沿海陆地地质环境划分为五个质量级共 17个地质环境质量单元。  相似文献   

抗震设防决策中的模糊信息处理   总被引：1，自引：0，他引：1  

娄仲连  熊振 《工程地质学报》2000,8(2):235-238

抗震设防决策过程中涉及到许多对整个分析过程都具有重要意义的模糊信息 ,本文提出一种结合模糊信息进行地震危险性概率分析与抗震设防决策的方法 ,介绍了用模糊集模拟模糊信息的原理 ,以及进一步处理模糊信息的区间分析顶点法。作为一例 ,这些方法结合基于泊松分布的地震烈度发生概率模型 ,应用于南京市区未来 5 0年的地震危险性与抗震设防效益分析 ,提供模糊的结论供设防决策参考。  相似文献   

模糊控制在污水处理系统中的应用   总被引：2，自引：0，他引：2       下载免费PDF全文

申承民  贾永忠  诸葛琴  康永峰  杨金贤 《盐湖研究》2000,8(2):29-32

介绍了模糊控制技术在三沟式氧化沟污水处理中的应用 ,对模糊控制系统的结构和原理进行了详细的讨论。该系统已成功应用到上海闵行污水处理厂三期工程中 ,运行效果良好  相似文献   

洪水灾害等级划分的模糊聚类分析   总被引：8，自引：0，他引：8  

徐海量  陈亚宁 《干旱区地理》2000,23(4):350-352

基于模糊数学理论,利用新疆“96．7”特大暴雨洪水典型地州市的灾害资料,选取受灾面积,受灾人口,破坏房屋,直接经济损失四个指标,对灾害等级进行模糊聚类和划分,取得了良好效果。  相似文献   

Closed-loop randomized kinodynamic path planning for an autonomous underwater vehicle     

《Applied Ocean Research》2019

A randomized kinodynamic path planning algorithm based on the incremental sampling-based method is proposed here as the state-of-the-art in this field applicable in an autonomous underwater vehicle. Designing a feasible path for this vehicle from an initial position and velocity to a target position and velocity in three-dimensional spaces by considering the kinematic constraints such as obstacles avoidance and dynamic constraints such as hard bounds and non-holonomic characteristic of AUV are the main motivation of this research. For this purpose, a closed-loop rapidly-exploring random tree (CL-RRT) algorithm is presented. This CL-RRT consists of three tightly coupled components: a RRT algorithm, three fuzzy proportional-derivative controllers for heading and diving control and a six degree-of-freedom nonlinear AUV model. The branches of CL-RRT are expanded in the configuration space by considering the kinodynamic constraints of AUV. The feasibility of each branch and random offspring vertex in the CL-RRT is checked against the mentioned constraints of AUV. Next, if the planned branch is feasible by the AUV, then the control signals and related vertex are recorded through the path planner to design the final path. This proposed algorithm is implemented on a single board computer (SBC) through the xPC Target and then four test-cases are designed in 3D space. The results of the processor-in-the-loop tests are compared by the conventional RRT and indicate that the proposed CL-RRT not only in a rapid manner plans an initial path, but also the planned path is feasible by the AUV.  相似文献   

A novel spatial index using spatial analyses and hierarchical fuzzy expert system for obtaining green TOD: a case study in Tehran city     

Hamid Motieyan  Mohammad Saadi Mesgari 《国际地球制图》2019,34(1):1-22

Sustainable development is a vital and challenging factor for managing urban growth smartly. This factor contains three main components, namely economic growth, ecological protection and social justice. Green Transit-Oriented Development (GTOD) is a consummate planning approach in line with those components. Implementation of GTOD in an urban area is underpinned by its quantification. Therefore, a quantitative spatial index based on several indicators related to TOD and Green urbanism concepts should be developed. In this study, Geo-spatial Information Science and hierarchical fuzzy inference system (HFIS) were employed to calculate the indicators and aggregate them, respectively. In order to showcase the feasibility of the proposed method, it was implemented in a case study area in the City of Tehran, Iran. The result of this method is an integrated spatial GTOD index, which measures the neighbourhoods’ GTOD levels. These measurements specify weaknesses and strengths of neighbourhoods’ factors. Therefore, this index helps decision-makers to plan neighbourhoods based on land use and public transit views. Additionally, the HFIS method helps decision-makers to consider criteria and indicators with their inherent uncertainties and aggregate them with much fewer rules. For evaluating the results, the developed GTOD index was assessed with municipal action planning and attraction maps. According to the outcomes of the assessment, it is concluded that the proposed method is adequately robust and efficient for smart and sustainable urban planning.  相似文献   

Evaluating coastal scenery using fuzzy logic: Application at selected sites in Western Black Sea coastal region of Turkey   总被引：1，自引：0，他引：1  

Ay?en Ergin  Fatma ?ahin 《Ocean Engineering》2010,37(7):583-591

Coastal areas of the world are under treat due to the conflicting requirements of functions such as habitation and/or recreation, which affect the strategic asset of coastal scenery itself. Coastal managers, together with planners, need coastal landscape inventories, where the quality of coastal scenery is a part of the inventory. In order to provide an evidence-based approach for sound coastal management decisions, [Ergin et al., 2004] and [Ergin et al., 2006] developed a novel technique ‘coastal scenic evaluation’ (CSE), which addresses the evaluation of coastal scenery. The CSE technique utilizes fuzzy logic to derive values obtained from a checklist of 26 physical and human parameters. The methodology enables the calculation of an evaluation index (D), which categorizes the scenic values of coastal sites into five distinct classes. Using this technique, coastal scenic evaluations were carried out at 34 selected sites on the Western Black Sea coast of Turkey. Based on the calculated D values, a five-class differentiation was obtained for the selected sites, to provide baseline information for any envisaged subsequent management plans for these areas.  相似文献   

Alternative Fuzzy Cluster segmentation of remote sensing images based on Adaptive Genetic Algorithm     

Jing Wang  Jilong Tang  Jibin Liu  Chunying Ren  Xiangnan Liu  Jiang Feng 《中国地理科学(英文版)》2009,19(1):83-88

Remote sensing image segmentation is the basis of image understanding and analysis. However, the precision and the speed of segmentation can not meet the need of image analysis, due to strong uncertainty and rich texture details of remote sensing images. We proposed a new segmentation method based on Adaptive Genetic Algorithm (AGA) and Alternative Fuzzy C-Means (AFCM). Segmentation thresholds were identified by AGA. Then the image was segmented by AFCM. The results indicate that the precision and the speed of segmentation have been greatly increased, and the accuracy of threshold selection is much higher compared with traditional Otsu and Fuzzy C-Means (FCM) segmentation methods. The segmentation results also show that multi-thresholds segmentation has been achieved by combining AGA with AFCM.  相似文献