基于GIS和改进灰色关联模型的岩溶区土壤肥力评价——以重庆市丰都县岩溶区为例

孙宇; 高明; 王丹; 邓炜; 陈成龙

基于GIS和改进灰色关联模型的岩溶区土壤肥力评价——以重庆市丰都县岩溶区为例

西南大学资源环境学院

基金项目: 国家“十二五”科技支撑计划项目（2012BAD141318）

计量
- 文章访问数: 1457
- HTML浏览量: 321
- PDF下载量: 1305
- 被引次数: 0
出版历程
- 发布日期: 2014-09-25

Comprehensive evaluation of soil fertility in karst area by GIS and improved Grey Relation Model：A case study in Fengdu county karst area, Chongqing

College of Resources and Environment, Southwest University

摘要

摘要: 文章在GIS技术支持下，以重庆市丰都县岩溶区为研究对象，根据该县的地形特征、土地利用现状及土壤类型等共采集316个土壤样品，在此基础上，通过主成分分析法、隶属度函数等方法改进的灰色关联模型，对丰都县土壤肥力进行综合评价，并利用地统计学方法揭示其空间变异特征。结果表明：土壤肥力综合指数处于0.352~0.881之间，均值为0.579；其空间变异具有一阶趋势，去除趋势后所剩残差表现出较弱的空间相关性；研究区总体土壤肥力质量中等偏上，其中Ⅱ、Ⅲ、Ⅳ等级的土壤肥力分布面积分别占总区域面积的10.61%、31.09%、35.94%；土壤常规养分和微量元素养分的综合肥力贡献率分别为76.77%和23.23%。这表明将土壤微量元素养分同时纳入土壤肥力评价指标体系是合理可行的，利用改进的灰色关联模型能较好地定量化评价土壤综合肥力，地统计学方法能更好地揭示土壤肥力的空间变异。
- 土壤肥力 /
- 灰色系统 /
- 综合评价 /
- 空间变异 /
- 岩溶区
Abstract: Soil fertility evaluation can provide the basis for rational fertilization and agricultural production structure adjustment. Under the technical support of GIS, we take Fengdu county karst area as research object and collected 316 soil sample of this county, according to topographical features, land use status and soil types. In this paper, we report organic matter, total nitrogen, available nitrogen, available phosphorus, available potassium, available sulfur, available cuprum, available iron, available manganese, available zinc, available boron content and pH for all soil samples. Based on data, we evaluated the soil fertility of the county by using Grey Relation Model improved by principal component analysis and membership function, and discussed the special distribution characteristics by using statistical methods. The study shows that the soil integrated fertility index (IFI) in the study area ranged from 0.352 to 0.881 with the average value of 0.579 in the study area. Geostatistical trend analysis of IFI presented a one-order (linear) global trend and semi-variance analysis of the residuals showed a weak degree of spatial correlation. Overall fertility quality in the study area is middle or better, the second soil fertility grade region accounted for 10.61%, the third soil fertility grade region accounted for 31.09%, and the fourth soil fertility grade region accounted for 35.94%. The contribution rates for integrated fertility of soil conventional nutrient indexes and microelement indexes were 76.77% and 23.23%, respectively. Therefore, bringing microelement indexes into the soil fertility evaluation index system is reasonable and practicable, the improved Grey Relation Model can quantitatively evaluate integrated soil fertility, and the geostatistical method can satisfactorily reveal spatial variation patterns in soil fertility.
- soil fertility /
- grey system /
- comprehensive evaluation /
- spatial variability /
- karst area

HTML

参考文献(22)

[1]	孙波,张桃林,赵其国.我国东南丘陵山区土壤肥力的综合评价［J］土壤学报,1995,32(4):362-368.
[2]	袁东海,王兆骞,郭新波,等.基于土壤侵蚀定位土芯元素示踪法和GIS技术红壤小流域坡地土壤肥力的综合评价［J］水土保持学报,2003,17(5):88-91.
[3]	王建国,杨林章,单艳红.模糊数学在土壤质量评价中的应用研究［J］土壤学报,2001,38(2):176-183.
[4]	孙艳玲,郭鹏,刘洪斌,等.基于GIS的土壤肥力综合评价［J］西南农业大学学报,2003,25(2):176-179.
[5]	杨劲松,姚荣江.苏北滩涂垦区土壤质量综合评价研究［J］中国生态农业学报,2009,17(3):410-415.
[6]	胡月明,吴谷丰,江华,等.基于GIS与灰色关联综合评价模型的土壤质量评价［J］西北农林科技大学学报(自然科学版),2001,29(4):40-42.
[7]	李跃林,李志辉,李志安,等.桉树人工林地土壤肥力灰色关联分析［J］土壤与环境,2001,10(3):198-200.
[8]	李月芬,汤洁,林年丰,等.灰色关联度法在草原土壤质量评价中的应用［J］吉林农业大学学报,2003,25 (5):551-556.
[9]	韩春建,梁朝信,吴克宁,等.基于GIS技术的灰色关联度法土壤肥力综合评价［J］农业工程学报，2008,24(1):53-56.
[10]	崔潇潇,高原,吕贻忠.北京市大兴区土壤肥力的空间变异［J］农业工程学报,2010,26(9):327-333.
[11]	吕巧灵,付巧玲,吴克宁,等.郑州市郊区土壤综合肥力评价及空间分布研究［J］中国农学通报, 2006,22(1):166-168.
[12]	李强,周冀衡,杨荣生,等.曲靖植烟土壤养分空间变异及土壤肥力适宜性评价［J］应用生态学报，2011,22 (4):950-956.
[13]	叶回春,张世文,黄元仿,等.北京延庆盆地农田表层土壤肥力评价及其空间变异［J］中国农业科学，2013,46 (15):3151-3160.
[14]	吴玉红,田霄鸿,侯永辉,等.基于田块尺度的土壤肥力模糊评价研究［J］自然资源学报,2009,24 (8):1422-1431.
[15]	鲁如坤.土壤农业化学分析方法［M］北京:中国农业科技出版社,2000.
[16]	张文霖.主成分分析在满意度权重确定中的应用［J］市场研究,2006，(6):18-22.
[17]	de Lima, Ana Cludia Rodrigues，Hoogmoed ,et al.Soil Quality Assessment in Rice Production Systems: Establishing a Minimum Data Set［J］Journal of Environmental Quality,2008,37(2):623-630.
[18]	全国土壤普查办公室.中国土壤［M］北京:中国农业出版社,1998:860-934.
[19]	沈善敏.中国土壤肥力［M］北京:中国农业出版社,1998:351-382.
[20]	张晓玲,吕慧峰,王菲,等.重庆马铃薯土壤养分分级研究［J］中国农学通报,2012,28(21):70-75.
[21]	刘思峰,郭天榜,党耀国,等.灰色系统理论及其应用［M］北京:科学出版社,2000:47-48.
[22]	王瑞燕,赵庚星,李涛,等.GIS支持下的耕地地力等级评价［J］农业工程学报,2004,20(1):307-310.