县域农田土壤铜、锌、铬含量空间变异特征及其影响因子分析

doi:10.3864/j.issn.0578-1752.2010.04.010

中国农业科学 ›› 2010, Vol. 43 ›› Issue (4): 737-743 .doi: 10.3864/j.issn.0578-1752.2010.04.010

• 土壤肥料·节水灌溉·农业生态环境 • 上一篇下一篇

县域农田土壤铜、锌、铬含量空间变异特征及其影响因子分析

庞夙,李廷轩,王永东,余海英,郭其灵,陈东明

（四川农业大学资源环境学院）

收稿日期:2009-06-19 修回日期:2009-09-14 出版日期:2010-02-20 发布日期:2010-02-20
通讯作者: 李廷轩

Spatial Variability and Influencing Factors of the Concentrations of Cu, Zn, and Cr in Cropland Soil on County Scales

PANG Su, LI Ting-xuan, WANG Yong-dong, YU Hai-ying, GUO Qi-ling, CHEN Dong-ming

（四川农业大学资源环境学院）

Received:2009-06-19 Revised:2009-09-14 Online:2010-02-20 Published:2010-02-20
Contact: LI Ting-xuan

摘要/Abstract

摘要：

【目的】研究县域农田土壤重金属空间变异特征及影响因子,可为保护农田环境质量提供有效信息。【方法】本研究利用地统计学和GIS相结合的方法,对四川省双流县623个土样铜、锌、铬含量空间结构、分布特征进行分析,并在此基础上对其影响因子进行了探讨。【结果】（1）农田土壤铜、锌、铬含量属于中等变异强度,其最大值与最小值之间的差异明显;（2）土壤铜、锌、铬含量的空间相关距离分别为28 281、45 613、45 892 m,且具有中等程度的空间自相关性,其空间变异受结构性和随机性因子的共同影响。【结论】普通Kriging插值表明,土壤铜、锌、铬含量的空间分布趋势较为接近,高值区主要集中在县境内西北部。影响因子分析表明,土壤铜含量在不同地形条件下呈极显著差异;成土母质对铜和锌含量空间变异有重要影响;有机肥使用量是影响土壤铜、锌、铬含量空间变异的重要因子;社会经济条件中,农业基础条件和化肥使用量对土壤铜、锌、铬含量空间变异的影响程度最高。

关键词: 县域尺度, 农田土壤, 铜、锌、铬, 空间变异, 影响因子

Abstract:

【Objective】 Studies on the spatial variability and influencing factors of heavy metals can provide useful informations for the protection of environmental quality of cropland. 【Method】 Geostatistics combined with GIS were used for the analysis of the spatial structral, spatial distribution and influencing factors of copper (Cu), zinc (Zn), and chromium (Cr) concentrations in cropland soil in Shuangliu county, Sichuan province, China. 【Result】 The concentrations of Cu, Zn and Cr in cropland soil belonged to moderate variability, the maximum value and minimum value of the three heavy metals were obviously different. The spatially dependent ranges of concentrations of Cu, Zn, and Cr in soil were 28 281, 45 613, and 45 892 m, respectively. The concentrations of Cu, Zn, and Cr in soil had a moderate spatial dependence, and their spatial variability was caused by structural factors and random factors. 【Conclusion】 The ordinary Kriging interpolation showed that the spatial distribution trends of concentrations of Cu, Zn, and Cr in soil were quite similar. The regions with high concentrations of Cu, Zn, and Cr in soil were mainly distributed in the northwet part of Shuangliu. The results of influencing factors showed that the concentration of Cu in cropland soil was very significantly different among different terrain conditions. Soil parental materials was an important factor affecting spatial variability of the concentration of Cu and Zn. The organic fertilizer application rate was the important factor which affected spatial variability of the concentration of Cu, Zn, and Cr in cropland soil. The influence degree of agricultural conditions and fertilizer application rate on spatial variability of the concentrations of Cu, Zn, and Cr in cropland soil was the highest in social economic conditions .

Key words: county scales, cropland soil, copper, zinc, chromium, spatial variability, influencing factors

庞夙,李廷轩,王永东,余海英,郭其灵,陈东明
. 县域农田土壤铜、锌、铬含量空间变异特征及其影响因子分析[J]. 中国农业科学, 2010, 43(4): 737-743 .

PANG Su,LI Ting-xuan,WANG Yong-dong,YU Hai-ying,GUO Qi-ling,CHEN Dong-ming
. Spatial Variability and Influencing Factors of the Concentrations of Cu, Zn, and Cr in Cropland Soil on County Scales
[J]. Scientia Agricultura Sinica, 2010, 43(4): 737-743 .

0
/ / 推荐

导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks

链接本文: https://www.chinaagrisci.com/CN/10.3864/j.issn.0578-1752.2010.04.010

https://www.chinaagrisci.com/CN/Y2010/V43/I4/737

[1]	张维理,张认连,张定祥,白占国,张晶,师华定. 世界主要国家土壤调查工作回顾[J]. 中国农业科学, 2022, 55(18): 3565-3583.
[2]	李官沫,张文菊,曲潇琳,乔磊,黄亚萍,徐虎,徐明岗. 旱作种植条件下基础地力贡献率演变特征及影响因素分析[J]. 中国农业科学, 2021, 54(19): 4132-4142.
[3]	刘锴,何闪闪,张彩霞,张利义,卞书迅,袁高鹏,李武兴,康立群,丛佩华,韩晓蕾. 苹果叶片不定芽再生过程的差异表达基因鉴定与分析[J]. 中国农业科学, 2021, 54(16): 3488-3501.
[4]	赵晴月,许世杰,张务帅,张哲,姚智,陈新平,邹春琴. 中国玉米主产区土壤养分的空间变异及影响因素分析[J]. 中国农业科学, 2020, 53(15): 3120-3133.
[5]	邱孟龙,曹小曙,周建,冯小龙,高兴川. 基于GWR模型的渭北黄土旱塬粮食单产空间分异及其影响因子分析——以陕西彬县为例[J]. 中国农业科学, 2019, 52(2): 273-284.
[6]	孙丽娟，胡学旭，陆伟，王步军. 基于GIS的小麦籽粒品质空间分布特征和影响因子分析[J]. 中国农业科学, 2018, 51(5): 999-1011.
[7]	李雨，韩平，任东，罗娜，王纪华. 基于地理探测器的农田土壤重金属影响因子分析[J]. 中国农业科学, 2017, 50(21): 4138-4148.
[8]	王幼奇，白一茹，赵云鹏. 宁夏砂田小尺度土壤性质空间变异特征与肥力评价[J]. 中国农业科学, 2016, 49(23): 4566-4575.
[9]	张旭博，孙楠，徐明岗，张文菊，李建伟. 全球气候变化下中国农田土壤碳库未来变化[J]. 中国农业科学, 2014, 47(23): 4648-4657.
[10]	赵次娴, 陈香碧, 黎蕾, 肖和友, 刘坤平, 何寻阳, 苏以荣. 添加蔗渣生物质炭对农田土壤有机碳矿化的影响[J]. 中国农业科学, 2013, 46(5): 987-994.
[11]	黄明, 王璐莎. 动物蛋白源抗氧化肽的研究进展[J]. 中国农业科学, 2013, 46(22): 4763-4773.
[12]	叶回春1, 张世文2, 黄元仿1, 王胜涛3. 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.
[13]	. 县域尺度表层土壤质地空间变异与因素分析 [J]. 中国农业科学, 2011, 44(6): 1154-1164 .
[14]	陆安祥, 孙江, 王纪华, 董文光, 韩平, 张国光, 王开义, 潘立刚. 北京农田土壤重金属年际变化及其特征分析[J]. 中国农业科学, 2011, 44(18): 3778-3789.
[15]	黄芬,朱艳,姜东,荆奇,曹卫星 . 基于模型与GIS的小麦籽粒品质空间差异分析[J]. 中国农业科学, 2009, 42(9): 3087-3095 .

县域农田土壤铜、锌、铬含量空间变异特征及其影响因子分析

Spatial Variability and Influencing Factors of the Concentrations of Cu, Zn, and Cr in Cropland Soil on County Scales

PDF

赞

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 0