Market driven management of climate change impacts in the Spanish mussel sector     

《Marine Policy》2017

Mussel farming is the largest aquaculture activity in Spain both in volume and value, being a key pillar for the development of the coastal areas in Galicia (NW Spain), where this production is concentrated. The available scientific knowledge suggests that in the long term the primary productivity of the Galician estuaries will be reduced due to climate change. Consequently, adaptive management will be required to face this challenge. The impact of the likely production decrease will depend, among other factors, on the availability of substitutes, being their identification the main object of this research. So, it was analysed whether this markets are integrated or not through cointegration tests, finding that only the French and the Spanish markets are partially integrated. This implies that since very little substitutes are available for the Galician fresh mussels, decreases in production will not necessarily affect producer's income, as prices increases will compensate the (eventual) reduction in volume. In terms of policy, this study suggests that market intelligence may contribute to an adaptive, pragmatic and flexible framework to face climate change impacts, avoiding too anticipated or blind responses that may result in economic, environmental and social costs.  相似文献   

Focus-of-attention techniques in the automatic interpretation of seismograms     

Claudio Chiaruttini 《Pure and Applied Geophysics》1991,135(1):61-75

The focus-of-attention techniques implemented in SNA2, a knowledge-based system for seismogram interpretation, are presented. They consist of data compression of the input digital records, scanning of the compressed traces to detect candidate seismograms and extraction of seismogram features. A criterion is given to rate the clarity of seismograms; the clarity defines the order in which the system will consider them to build up the interpretation. The proposed techniques are simple and fast; they allow quick rejection of noise and focussing the attention of the system on the portions of traces containing relevant information.  相似文献   

GPS在"数字地球"中的应用     

侯光明  王俊鹏  刘建昌 《全球定位系统》2004,29(1):19-21

从“数字地球”工程的引入开始，通过介绍GPS在“数字地球”工程几个领域中的应用，说明了GPS不可替代的重要地位。  相似文献   

基于计算智能的土地适宜性评价模型   总被引：22，自引：2，他引：22  

刘耀林  焦利民 《武汉大学学报(信息科学版)》2005,30(4):283-287

将计算智能理论引入土地评价领域，构建了一个全新的土地适宜性评价模型。首先基于模糊逻辑和人工神经网络构造了一个模糊神经网络模型，然后采用改进的遗传算法进行训练，能够快速收敛到最优解，对初始的规则库进行修正，形成了一个自学习、自适应的评价系统。  相似文献   

人工神经网络与符号推理在江淮气旋预报中的应用研究     

朱定真  周戎 《气象科学》1997,17(2):176-180

本文通过对符号推理及神经网络系统的剖析，实现了神经网络与符号推理的有机结合，并成功地运用到天气预报中去。提出了一种新的，充分利用预报经验，数值预报产品及计算机计算能力的预报方法。  相似文献   

专家系统与智能系统     

吴宣志 《物探化探计算技术》1997,19(2):108-114

为使专家系统技术尽早在地学领域取得突破，应该研制智能系统。在人机交换系统中加入智能模块，管理调度各功能模块，即实现人机交互系统到智能系统的升级。将专家系统、骨架系统加以扩充，增加与数据库管理系统、科学计算等功能子系统的接口，即成为一个研制智能系统的工具—智能骨架系统。文末描述了一个智能骨架系统—ＳＧＥＳ的结构和用法  相似文献   

基于GIS的洪水灾害评估智能决策支持系统设计   总被引：3，自引：0，他引：3  

魏一鸣  周成虎 《地域研究与开发》1997,16(3):8-11,16

针对洪水灾害评估的特点，将地理信息系统（ＧＩＳ）技术与智能决策支持系统结合起来，设计了用于洪水灾害评估的智能决策支持系统，阐述了其设计原理，讨论和分析于基于ＧＩＳ的洪水灾害评估智能决策支持系统的组成模式，给出了其总体设计框架。  相似文献   

人工智能、模式识别在气象领域应用的现状与展望   总被引：7，自引：0，他引：7  

王耀生 《气象》1994,20(6):9-14

简要回顾了１０年来人工智能，模式识别在我国气象领域进展的情况，它包括专家系统，人工神经元网络，智能数据库，天气过程的计算机理解和仿真，以及卫星云图的分析识别等方面，并对今后的发展提出了一些初步设想。  相似文献   

基于一体化全局模型的智能型制图方法     

马秋禾  肖蓉  徐宏建 《测绘学院学报》2006,(1)

提出了一种基于一体化全局模型的智能型制图方法。该方法基于一体化全局模型(拓扑信息模型),归纳和发现了矢量数据处理过程中显性的数学逻辑和隐含的作业规则;组建了知识库;进行了基本知识组合并在数据处理的不同环节中自动作用于全局数据库。由此不断改写全局数据库,使之逐步趋近为具有一体化特征的矢量地理信息,形成矢量智能化处理流程。在获取满足GIS要求数据的同时,获取用空间几何数据和相应符号参数表示的制图数据。  相似文献   

Discovery of transition rules for geographical cellular automata by using ant colony optimization   总被引：7，自引：2，他引：7  

Anthony Gar-On YEH 《中国科学D辑(英文版)》2007,50(10):1578-1588

A new intelligent algorithm of geographical cellular automata (CA) based on ant colony optimization (ACO) is proposed in this paper. CA is capable of simulating the evolution of complex geographical phenomena, and the core of CA models is how to define transition rules. However, most of the transition rules are defined by mathematical equations, and are hence not explicit. When the study area is complicated, it is much more difficult to extract parameters for geographical CA. As a result, ACO is applied to geographical CA to automatically and intelligently obtain transition rules in this paper. The transition rules extracted by ACO are defined as logical expressions rather than implicit mathematical equations to describe the complex relationships of the nature, and easy for people to understand. The ACO-CA model was applied to simulating rural-urban land conversions in Guangzhou City, China, and appropriate simulation results were generated. Compared with See5.0 decision tree model, ACO-CA is more suitable to discovering transition rules for geographical CA.  相似文献