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干旱区地理 ›› 2013, Vol. 36 ›› Issue (6): 1103-1110.

• 地球信息科学 • 上一篇    下一篇

基于地统计学和GIS技术的呼伦湖溶解氧的空间变异特征分析

王冰1,安慧君1,吕昌伟2   

  1. (1    内蒙古农业大学林学院, 内蒙古    呼和浩特    010019;    2    内蒙古大学环境与资源学院, 内蒙古    呼和浩特    010021)
  • 收稿日期:2013-02-10 修回日期:2013-04-19 出版日期:2013-11-25
  • 作者简介:王冰(1981-),女,讲师/硕士,主要从事3S技术在生态环境中的应用研究. Email:wbingbing2008@126.com
  • 基金资助:

    内蒙古自然科学基金(2010MS0601);国家自然科学基金(41003049,40863003)

Spatial variations of dissolved oxygen in Hulun Lake using geostatistics and GIS technology

WANG  Bing1,AN  Hui-jun1,LV  Chang-wei2   

  1. (1   Forestry College, Inner Mongolia Agricultural University, Hohhot  010019, Inner Mongolia, China;2   College of Environment & Resources, Inner Mongolia University, Hohhot  010021, Inner Mongolia, China)
  • Received:2013-02-10 Revised:2013-04-19 Online:2013-11-25

摘要: 呼伦湖是内蒙古第一大湖,在草原生态环境保护中举足轻重。在气候变化和人类活动的影响下,呼伦湖的水环境状况不容乐观。为了掌握呼伦湖水体的水质状况,在实地采样的基础上,基于地统计学半方差函数理论和GIS克立格空间插值方法,定量分析了呼伦湖水体溶解氧含量的空间变异特征及分布格局。结果表明:溶解氧的半方差拟合最优模型为球面模型,该水质参数具有强烈的空间自相关性;空间分布上,结合地表水环境质量标准,呼伦湖大部分水域的水质为IV类;考虑到鱼类等水生生物的生存需要,呼伦湖整体的溶解氧状况基本适合鱼类的生长,其中比较适合的区域分布在湖中部。

关键词: 呼伦湖, 地统计学, 地理信息系统, 空间变异, 溶解氧

Abstract: Lakes play an important role in the global water cycles. Its spatio-temporal dynamic monitoring is essential to reasonable utilization and protection of water resources. Hulun Lake, the largest and most important lake in the Inner Mongolia,China,holds the balance in the grassland eco-environmental protection. However, in the recent years, its water quality is still far from satisfactory under the influences of climate changes and human activities. Dissolved oxygen (DO) is the amount of oxygen that is present in the water. It is measured in milligrams per liter (mg/L), or the number of milligrams of oxygen dissolved in a liter of water. Dissolved oxygen (DO) is probably the single most important water quality factor that lake managers need to understand. The development of geostatistics has provided a new tool in study of DO in lakes. This study aims at approaching the spatial distribution of DO in Hulun Lake by using the geostatistics method in order to look for one effective method to better investigate the spatial pattern of the water quality. For this purpose, the dissolved oxygen (DO) data were collected from 32 samples in Hulun Lake; and the bordline derived from Landsat TM remote sensing image in 2011 based on MNDWI (Modified Normalized Difference Water Index) was used. Softwares of ENVI,ArcGIS,GS+ and SPSS were also applied. Based on the semivariogram function in geostatistics and Kriging interpolation method,the spatial variations and distribution patterns of DO were analyzed quantitatively;and the water quality of Hulun Lake was evaluated. The results indicate that,the optimal semivariogram model of DO is Spherical model among the four provided theoretical models of Exponential,Spherical,Linear and Gaussian model. The ratio of nugget value to still value is less than 25%,showing strongly spatial autocorrelation on DO. Spatial distribution map derived from Kriging interpolation reflects spatial variation pattern of DO,which can provide basic data for water quality monitoring and pollution control. Integrating with environmental quality standards for surface water,the water quality belongs to level IV,Fish that live or feed along the bottom require dissolved oxygen concentrations of 3 mg/L or more,so it is suitable for fish’s living under the current DO level (>3 mg/L) of Hulun Lake,and the most fitting area is located in the middle of the lake. Due to the restrictions of single water quality parameter and sampling condition,there may be some uncertainty existing in the modeled results. However,it can provide an effective approach for spatial water quality monitoring in Hulun Lake,and play an important role on the conservation and management of water resources.

Key words: Hulun Lake, geostatistics, geographic information system (GIS), spatial variation, dissolved oxygen (DO)

中图分类号: 

  • TP79