资源科学 ›› 2020, Vol. 42 ›› Issue (10): 1911-1920.doi: 10.18402/resci.2020.10.08

• 理论与方法 • 上一篇    下一篇

中国陆表自然资源综合观测台站布点优化

高秉博1(), 王劲峰2(), 胡茂桂2, 徐成东2, 刘慧兰3, 周成虎2   

  1. 1. 中国农业大学土地科学与技术学院,北京 100193
    2. 中国科学院地理科学与资源研究所,北京 100101
    3. 中国地质调查局地球物理调查中心,廊坊 065000
  • 收稿日期:2020-09-04 修回日期:2020-10-07 出版日期:2020-10-25 发布日期:2020-12-25
  • 通讯作者: 王劲峰
  • 作者简介:高秉博,男,宁夏海原人,副教授,研究方向为空间统计方法及其在资源环境中的应用。E-mail: gaobingbo@cau.edu.cn
  • 基金资助:
    国家自然科学基金项目(41601425);国家自然科学基金项目(41701201);自然资源要素综合观测数据集成与应用服务项目(DD20208067)

Optimization of integrated observation station layout for terrestrial surface natural resources

GAO Bingbo1(), WANG Jinfeng2(), HU Maogui2, XU Chengdong2, LIU Huilan3, ZHOU Chenghu2   

  1. 1. College of Land Science and Technology, China Agricultural University, Beijing 100193, China
    2. Institute of Geographic Sciences and Nature Resources Research, CAS, Beijing 100101, China
    3. Center for Geophysical Survey, China Geology Survey, Langfang 065000, China
  • Received:2020-09-04 Revised:2020-10-07 Online:2020-10-25 Published:2020-12-25
  • Contact: WANG Jinfeng

摘要:

针对陆地表层土地资源、水资源、气候资源和生物资源综合观测台站的优化布设问题,基于空间抽样与统计推断“三位一体”理论,分析了自然资源的空间分布特征,采用“中国生态地理区域图”和全国2009—2018年NDVI表征陆表自然资源的空间分异性与相关性,选择能够同时考虑空间分异性与相关性的分层异质性表面无偏最优点估计方法作为统计推断方法,以其全局平均误差方差作为陆表自然资源综合观测台站布点优化设计的目标函数,并使用空间模拟退火算法进行优化求解获得了台站布设方案。研究结果表明:①多年平均NDVI能够较好地表征陆表自然资源的空间分布特征。②分层异质性表面无偏最优估计方法能够适配自然资源的空间变异特征,在变化较大的地方加密布点,在变化平缓的地方减少布点,与基于克里金的优化方法相比,能够以同样的观测台站数产生更小的估计误差方差。③观测台站数量与误差方差曲线图可以作为确定最佳台站数量的依据,本文推荐1000点作为台站数量。本文为陆表自然资源综合观测台站布点优化设计提供了一套理论方法,可用于指导实际的综合观测台站布设,服务于国家自然资源综合观测与科学管护。

关键词: 自然资源, 综合观测, 台站优化布设, 空间统计三位一体理论, 分层异质性, 空间模拟退火

Abstract:

This study focused on the geographical layout optimization of comprehensive observation stations for terrestrial surface natural resources including land, water, climate, and biology. The study was carried out following three steps according to the spatial statistic trinity. (1) The spatial distribution characteristics of terrestrial surface natural resources were analyzed, and the Eco-geographical Region System for China and the Normalized Difference Vegetation Index (NDVI) of the recent 10 years were adopted to characterize the spatially stratified heterogeneity and their spatial autocorrelation; (2) The point mean of the surface with stratified nonhomogeneity (P-MSN) was chosen as the inference method and its average estimation error variance was set as the objective function for the layout optimization; (3) Spatial simulated annealing was used to minimize the objective function to generate the geographical layout of comprehensive observation stations. The following conclusions were drawn: (1) Average NDVI of multiple years can characterize the spatial distribution characteristics of terrestrial surface natural resources; (2) P-MSN can adapt to the spatial distribution character of terrestrial surface natural resources and place dense stations in areas with large variance and sparse stations in areas with small variance; (3) The sample size-estimation error variance curve can be used to determine the best sample size and 1,000 stations are suggested in this study.

Key words: natural resources, comprehensive observation, station layout optimization, spatial statistic trinity, stratified nonhomogeneity, spatial simulated annealing