我国松毛虫发生率的空间分布格局及其驱动因子

了解我国松毛虫发生的空间分布格局及其驱动因子, 对松毛虫暴发的预防?控制和治理具有重要意义?本研究基于我国各行政区2004年-2012年间每年松毛虫发生面积及其寄主植物面积, 使用一般线性模型分析气候因子是否以及如何驱动我国松毛虫发生的空间分布格局?结果表明:在全国尺度上, 最暖季降水量是松毛虫发生的主要气候驱动因子, 松毛虫平均发生率与最暖季降水量显著正相关?在最暖季降水量的作用下, 我国松毛虫的发生呈现明显的空间分布格局, 最暖季降水量较高的南方和北方部分地区松毛虫发生率较高, 而降水量较低的西北和青藏地区松毛虫发生率较低?我们的研究结果可为松毛虫暴发的预防和管理工作提供指导?     

Unraveling the morphological patterns of a subantarctic eelpout: a geometric morphometric approach

Phenotypic variation in organisms depends on the genotype and the environmental constraints of the habitat that they exploit. Therefore, for marine species inhabiting contrasting aquatic conditions, it is expected to find covariation between the shape and its spatial distribution. We studied the morphology of the head and cephalic sensory canals of the eelpout Austrolycus depressiceps (4.5–22.5 cm TL) across its latitudinal distribution in South Pacific (45°S–55°S). Geometric morphometric analyses show that the shape varied from individuals with larger snout and an extended suborbital canal to individuals with shorter snouts and frontally compressed suborbital canal. There was size variation across the sampled populations, but that size does not have a clear latitudinal gradient. Only 8% of the shape variation relates to this size variation (allometry), represented by a decrease in the relative size of the eye, and a depression of the posterior margin of the head. There were spatial differences in the shape of the head, but these differences were probably caused by allometric effects. Additionally, 2 of the canals of the cephalic lateralis pores and the head shape showed modularity in its development. This study shows that the morphology of marine fish with a shallow distribution varies across distances of hundreds of kilometers (i.e., phenotypic modulation).     

Design and Implement of WebGIS Based on SVG

SVG based on XML is a kind of language describing 2D vector graphics.It is usability and applicability to set up WebGIS.The paper puts forward a system structure of WebGIS based on SVG,which has been applied to campus electronic map system of Chongqing University.It has been proved the method is feasibility and practicability.The paper sets forth some key techniques of implement of the system in detail: coding method of organizing SVG spatial data;generation of SVG electronic map;storage of SVG spatial data and implement of client.     

On the Development of Urban Spatial Structure in the Information Age

Today the information globalization is the trend of society development. The information technology has great influence not only on the mode of life and production, but also on the urban social and economic structure. In order to fit in with the change in this regard, the urban land-use distribution, residential mode, traffic pattern and so on should be changed correspondingly. Therefore, this change will lead to the development and evolution of whole urban spatial structure. In this paper, the development tendency of urban spatial structure in the information age is analyzed and some proposals on city planning and construction are put forward.     

Application of Attribute Reduct Method in Spatial Load Forecasting

Spatial load forecasting is a process distributing the total forecasted load to all partitioned area, and involving more spatial information and more factor influencing application of the future small area, which need a great deal of memory space and longer operation time. Rough set is new method of data analysis. It need not be provided with any advanced information except data set. But attribute reduct is its main algorithms. Division matrix approach on rough set used to reduce the attribute related to land - use decision in order to remove redundancy attribute and then the rules of small area land - use decision is distilled. The method obtained better effect and enhanced the total load forecasting efficiency.     

Representation of Uncertain Area in Image Based on Cloud-model

Aiming at the problem of representation of regions in the process of image processing, the paper presents a method applied to representation of spatial uncertain area in image based on Cloud-model. In two-dimension universe of discourse of image, the linguistic term of the polygons, which have uncertain edge, can be accomplished by relaxation iteration. The linguistic term of the polygons can be considered Cloud-core of Cloud-model. Based on the characteristics of pixels of transition region of fuzzy edge, Object-clouds of polygons can be constructed by Backward-cloud-generator. So Object-cloud can be representation model of spatial uncertain area and spatial uncertain area in image can be represented by digital characteristics of Object-cloud. Experiments testify the method. It enriches the cloud theory, and proposes a new idea for image comprehending and analyzing, especially remote sensing image.     

强度参数统计特性对边坡稳定可靠性的影响

由于对边坡强度参数统计特性考虑不全面,使得边坡可靠性指标计算值偏小,对应的失效概率偏大,常常超过10%,设计中难以采纳,造成地基可靠度规范的制定和执行进展缓慢。以某高速公路全风化花岗岩土质高边坡为工程背景,在分析土质参数统计特性的基础上,采用极限平衡理论和蒙特卡罗模拟法,系统地分析了土质强度参数的均值不定性、变异性、相关性、区间特性和空间变化性等对边坡稳定可靠性的影响。结果表明：土性参数的各种统计特性对边坡稳定可靠性均具有不同程度的影响。可靠性指标计算值随抽样距离的减小而增加,随c或φ均值的增大而增加,随c和φ的变异系数的增大而减小,随c和φ相关系数绝对值的增大而增加,考虑区间性后可靠性指标计算值也明显变大。即变异性对边坡稳定不利,而相关性、区间性和空间变化性对边坡稳定有利。因此,准确而全面地考虑土质参数的统计特性,尤其是在参数变异性和相关性的基础上加以考虑土性参数空间变化性和区间性会更加符合工程实际,且计算结果趋于安全,有利于地基可靠度规范的推广运用和边坡工程的安全评价。     

棉花烂铃空间格局及抽样技术研究

本文通过聚集度指标（如：Ｃ、Ｋ、Ｃ＿Ａ、Ｉ、Ｉ＿δ、）测定，以及Ｉｗａｏ’线性回归、Ｔａｙｌｏｒ’ｓＳ￣２一回归和格局纹理分析，结果表明，棉花烂铃空间格而在一切密度下都呈聚集型，且聚集强度随烂铃密度的升高而增加，其空间格局的基本成分是疏松的个体群，其大小约为２～５株棉花，平均约含２．８４个烂铃个体，且个体群内的个体呈随机分布，经μ检验和方差分析，双对角线５点式、棋盘式和平行跳跃式等３种取样方法均适用于棉花烂铃田间调查，尤以双对角线５点式为佳，用双对角线５点式应样法调查的最适抽样数：一般病情普查至少１０个样方（每样方系５株棉花），系统测报和科研调查为２０～３０个样方。最后给出了棉花烂铃平均密度的零频率简易估计模型。     

基于STM32单片机的方形喷洒域装置的设计与试验

针对已有方形喷洒域喷头存在喷灌均匀系数低、方形程度差、转动过程精度不高等问题,设计了一种适用于方形喷洒的新型喷灌装置.该装置主要由控制模块、工作模块和喷头组成;通过滚子与空间凸轮的接触,调节喷头仰角,改变射程,实现方形区域的喷洒;采用单片机控制装置的旋转速度,以提高喷灌均匀度.在工作压力0.20 MPa、流量1.30 ...     

广东省吴川红火蚁生境类型、空间分布和抽样技术的研究

系统调查和研究了红火蚁在广东省吴川市农田生态系统的生境类型、空间分布规律和抽样技术。结果表明:红火蚁的生境类型较丰富多样,表现出较强的环境适应能力,荒坡、荒地、田埂等受到干扰较少的地点红火蚁发生密度高,而耕作农田如水稻田、菜田、花生地、红薯地等红火蚁发生密度很低;单个指标如丛生指数、聚块性指数、久野指数表明活动蚁巢在平面空间上主要呈现随机分布;经对Iwaom*-m回归模型、Taylor幂模型参数分析认为红火蚁活动蚁巢空间分布基本成分为单个蚁巢,蚁巢间存在相互排斥的作用,在所有密度下都是随机分布,且密度越高,分布越均匀。在空间格局研究基础上给出了最适理论抽样数公式和不同密度下的理论抽样数。提出的抽样方法为:先选取具代表性的小面积地块,对发生密度进行初步估计,如密度较低,零星发生,调查面积要大一些,每点面积应在500 m2以上;如密度较高,发生较普遍,根据理论抽样面积进行相应的调整,每点面积可在100~200 m2。一般每个类型的地点要调查3点以上。