地理空间分析综合应用

银川平原土壤盐渍化与土地利用强度的空间关联分析

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  • 中国农业大学信息与电气工程学院, 北京100083
张荣群(1964-),男,博士,教授,主要从事3s技术及其在资源环境领域的研究。E-mail:zhangrq@cau.edu.cn

收稿日期: 2014-06-13

  修回日期: 2014-10-27

  网络出版日期: 2015-05-10

基金资助

国家自然科学基金项目(41271419、40871103)。

Spatial Relationship Analysis Between the Soil Salinization and Land Use Intensity in Yinchuan Plain

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  • College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China

Received date: 2014-06-13

  Revised date: 2014-10-27

  Online published: 2015-05-10

摘要

银川平原盐渍土时空格局及其与土地利用强度变化关联关系的空间区位特征,可从土地利用强度的角度阐释土壤盐渍化的动因,为盐渍化因地制宜的治理提供参考依据。本文重点研究了盐渍土空间分布定量遥感生成方法,通过土地利用遥感制图、半方差函数的地统计学方法和灰色关联度分析法,对2004-2010 年银川平原的土地利用强度变化、土壤盐渍化程度变化及各类盐渍土与土地利用强度的关联度,进行了空间区位分布特征的可视化表达。研究结果表明:银川平原的发展仍具集聚效应,土地利用强度变化与城镇体系格局、交通干线、沟渠分布、土壤盐分含量密切相关;2004-2010 年间,银川平原土壤盐渍化存在整体减轻、局部加重的空间分布特征,与土地利用强度变化间的响应关系,存在较明显的空间差异;银川平原土壤盐渍化程度变化与土地利用强度变化间的关联度为0.7781,与水体、耕地这2 种土地类型间的关联程度最高。银川平原土壤盐渍化的干扰活动中,水体与耕地类型的利用行为是较重要的影响因子。

本文引用格式

张荣群, 乔月霞, 薛佳妮 . 银川平原土壤盐渍化与土地利用强度的空间关联分析[J]. 地球信息科学学报, 2015 , 17(5) : 598 -606 . DOI: 10.3724/SP.J.1047.2015.00598

Abstract

Accurately get the spatial distribution of soil salinization and the spatial location characteristics of its relationship with land use intensity can explain the reason of soil salinization from a perspective of land use intensity, so as to provide a reference to local planning and management. In this paper, taking Yinchuan Plain as the research area, we primarily studied the method of getting the saline soil's spatial distribution based on remote sensing images. Combined with the land use remote sensing mapping and with the support of statistical methods based on semivariance function and grey correlation theory, the visual expression of spatial location distribution characteristics are developed for land use intensity change, soil salinization change, and the respond relationships between each kind of saline soil and land use intensity in Yinchuan plain. The main conclusions are presented as follows: first, the development of Yinchuan plain had an agglomeration effect. Land use intensity change was closely related to the urban system structure, the distribution of road and channels and soil salinity. Second, the soil salinization change of Yinchuan Plain revealed a spatial distribution of entire alleviation but local aggregation feature. The response relationship between saline soil and land use intensity change was spatial heterogeneity. Third, the correlation coefficient between the saline soil level change and land use intensity change was 0.7781. The correlation degree between land use and saline soil were found higher in water and cultivated land, which showed that the land use could influence soil salinization distribution characteristics. Therefore, among all the land use types, water and cultivated land were important factors of influence to soil salinization. Generally, strengthen the awareness of environmental protection and cultivation will help reduce soil secondary salinization. Further improve the water conservancy facilities can help reduce groundwater salinity. Moreover, we can protect cultivated land to promote the sustainable development of agriculture.

参考文献

[1] 徐恒刚.中国盐生植被及盐渍化生态治理[M].北京:中国农业科学技术出版社,2005:5.
[2] 王静,刘湘南,黄方,等.基于ANN技术和高光谱遥感的盐渍土盐分预测[J].农业工程学报,2009,25(12):161-166.
[3] Eldeiry A A, Garcia L A. Detecting soil salinity in alfalfa fields using spatial modeling and remote sensing[J]. Soil Science Society of America Journal, 2008,72(1):201-211.
[4] 张飞,塔西甫拉提·特依拜,丁建丽,等.干旱区绿洲土壤盐渍化程度遥感定量评价[J].生态环境学报,2009,18(5):1822-1829.
[5] Cai S M, Zhang R Q, Liu L M, et al. A method of salt-affected soil information extraction based on a support vector machine with texture features[J]. Mathematical and Computer Modelling, 2010,51(11/12):1319-1325.
[6] 吴加敏,姚建华,张永庭,等.银川平原土壤盐渍化与中低产田遥感应用研究[J].遥感学报,2007,11(3):414-419.
[7] 王飞,丁建丽,伍漫春.基于NDVI-SI特征空间的土壤盐渍化遥感模型[J].农业工程学报,2010,26(8):168-173.
[8] 乔木,周生斌,卢磊,等.新疆渭干河流域土壤盐渍化时空变化及成因分析[J].地理科学进展.2012,31(7):905-910.
[9] 王家强,哈学萍.渭库绿洲土壤盐渍化遥感监测研究[J].农业系统科学与综合研究,2011,27(1):7-11.
[10] 刘欢,张荣群,郝晋民,等.基于半方差函数的银川平原土地利用强度图谱分析[J].农业工程学报,2012,28(23):225-231.
[11] 刘晓峰,马劲松,潘颖.聊城市东昌府区土地利用强度变化动态监测[J].水电能源科学,2009,27(2):149-151.
[12] 张微微,李红,霍霄妮,等.基于能值分析的农业土地利用强度[J].农业工程学报,2009,25(7):204-210.
[13] 张国坤,邓伟,张洪岩.新开河流域土地利用格局变化图谱分析[J].地理学报,2010,65(9):1111-1120.
[14] 张荣群,宋乃平,王秀妮,等.盐渍土时空变化信息的图谱可视化分析[J].农业工程学报,2012,28(9):230-235.
[15] 王秀妮,张荣群,周德,等.基于Markov链的土壤盐渍化动态变化预测[J].农业工程学报,2010,26(14):202-206.
[16] 张源沛,胡克林,李保国,等.银川平原土壤盐分及盐渍土的空间分布格局[J].农业工程学报,2009,25(7):19-24.
[17] 王国杰,廖善刚.土地利用强度变化的空间异质性研究[J].应用生态学报,2006,17(4): 611-614.
[18] 张金萍,汤庆新,张保华.基于GIS&RS的县域土地利用强度变化的空间异质性研究[J].西南农业学报,2008,21(6):1639-1642.
[19] 张金平,张保华,刘子亭,等.山东省禹城市耕层土壤有机质含量变化的空间变异[J].土壤通报,2009,40(2):258-261.
[20] 郭娜,郭科,吴金炉,等.灰色关联度分析法在土地评价中的应用[J].成都理工大学学报(自然科学版),2007,34(6): 627-628.
[21] 温丽华.灰色系统理论及其应用[D].哈尔滨:哈尔滨工程大学,2003.
[22] 金晓梅,胡光成,史晓杰.银川平原土壤盐渍化与植被发育和地下水埋深关系[J].现代地质,2009,23(1):23-27
[23] 王遵亲,祝寿全,俞仁培,等.中国盐渍土[M].北京:科学出版社,1993.

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