[1]祁曼,郝建华,冯仲科*,等. 全球及区域多尺度生态环境数据库建设[J].西北林学院学报,2017,32(5):69-74.[doi:10.3969/j.issn.1001-7461.2017.05.13]
　QI Man,HAO Jian-hua,FENG Zhong-ke*,et al. Construction of Global and Regional Multi-scale Ecological Environmental Database[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2017,32(5):69-74.[doi:10.3969/j.issn.1001-7461.2017.05.13]
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 全球及区域多尺度生态环境数据库建设()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第32卷
期数:
2017年第5期
页码:
69-74
栏目:
出版日期:
2017-09-30

文章信息/Info

Title:
 Construction of Global and Regional Multi-scale Ecological Environmental Database
文章编号:
1001-7461(2017)05-0069-06
作者:
 祁曼1; 郝建华2; 冯仲科1*; 焦有权3; 黄晓东1
 （1.北京林业大学 精准林业北京市重点实验室，北京 100083；2.北京林业大学 苗圃与树木园管理办公室，北京 100083；3.北京农业职业学院，北京 102442）
Author(s):
 QI Man1; HAO Jian-hua2; FENG Zhong-ke1*; JIAO You-quan3; HUANG Xiao-dong1
 （1.Precision Forestry Key Laboratory of Beijing,Beijing Forestry University,Beijing 100083,China;2.Nursery and Arboretum Management Office,Beijing Forestry University,Beijing 100083,China;3.Beijing Vocational College of Agriculture,Beijing 102442,China）
关键词:
 ; 生态环境; 数据库; 多尺度; 格网划分
Keywords:
 ; ecological environment;  database;  multi scale;  grid partition
分类号:
S711
DOI:
10.3969/j.issn.1001-7461.2017.05.13
文献标志码:
A
摘要:
 生态环境数据库构建是掌握各类生态环境因子精确空间分布规律的关键。以多尺度陆地界域为研究区域，依1∶100 000、1∶10 000、1∶2 000地形图进行梯形网格、矩形网格划分，按照国际分幅编号规则分别形成10.3万幅、7.37万幅、1.69万幅覆盖全球/全国/北京的格网数据，提取并整合森林植被覆盖数据、地形地貌数据、气候气象数据、土地土壤数据、大气污染物等多种生态环境因子信息，建立属性数据库，进而建成全球及区域多尺度生态环境格网数据库，便于进行多类型数据的时空分布规律研究，实现了现有多类型生态环境基础数据的科学有效管理及可视化表达。构建的多尺度生态环境数据库具有较强的实用性，已应用于森林植被生境因子空间变异研究及北京市可吸入颗粒浓度分布研究，为科研、教学及生产实践提供了可靠的数据支持，为今后进行多因子多维度空间分布模型研究奠定了基础。
Abstract:
 The construction of the eco-environmental database is the key to understand the precise pattern of spatial distribution of all types of ecological environmental factors.This article utilized multi-scale land boundaries as research area,constructed gradient meshes and rectangular grids following the scale of 1∶100 000,1∶10 000 and 1∶2 000 topographic maps.Following international numbering rules,each scale formed 103 000 73 728 and 16 921 pictures of grid data,covering Beijing,China,and the world.The paper extracted and intergraded many environmental factors,such as forest area data,topography and geography data,climatology data,land and soil data,and atmosphere pollution data etc,to construct attribute database,to further form a global and multi-dimensional database,and to realize the visualization and effective management of multiple types of fundamental eco-environmental data.Through analyzing the data,the distribution pattern of different types of factors in time and space could also be learned.It was empirically proved that the results of the study could be effectively applied in areas such as the spatial variability of forest vegetation habitat factors and repairable particulate matter concentration distribution in Beijing,also could provide reliable data for research and education.Furthermore,it put up the base for multifactor and multi-dimensional distribution modeling.

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备注/Memo

备注/Memo:
 收稿日期：2016-12-02修回日期：2017-02-10
基金项目：青年教师科学研究中长期项目“精准林业关键技术及装备研究”（2015ZCQ-LX -01）。
作者简介：祁曼，女，在读硕士，研究方向：广义3S及其在林业方面的应用。E-mail：qiman@bjfu.edu.cn
*通信作者：冯仲科，男，教授，博士生导师，研究方向：精准林业、测绘与3S技术集成。E-mail：fengzhongke@126.com
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