吉林大学学报(地球科学版) ›› 2018, Vol. 48 ›› Issue (1): 241-251.doi: 10.13278/j.cnki.jjuese.20170049

• 地质工程与环境工程 • 上一篇    下一篇

土壤硝酸盐氮的空间变异特征及影响因素分析

张玉玲, 司超群, 陈志宇, 初文磊, 陈在星, 王璜   

  1. 吉林大学环境与资源学院/水资源与环境研究所, 长春 130021
  • 收稿日期:2017-02-07 出版日期:2018-01-26 发布日期:2018-01-26
  • 作者简介:张玉玲(1974),女,教授,博士,主要从事地下水、土污染化学生物控制与修复方面的研究工作,E-mail:lingling29@126.com
  • 基金资助:
    环保公益性行业科研专项经费重大项目(201009009)

Spatial Variability of Soil Nitrate Nitrogen and Its Influencing Factors

Zhang Yuling, Si Chaoqun, Chen Zhiyu, Chu Wenlei, Chen Zaixing, Wang Huang   

  1. College of Environment and Resources/Institute of Water Resources and Environment, Jilin University, Changchun 130021, China
  • Received:2017-02-07 Online:2018-01-26 Published:2018-01-26
  • Supported by:
    Supported by Major Projects of Special Funds for Environmental Protection and Public Welfare Research(201009009)

摘要: 为了掌握土壤中硝酸盐氮的空间变异性规律,为硝酸盐污染土壤控制与修复提供依据,以东北某农业灌区为例,利用地质统计方法进行土壤硝酸盐氮的空间变异特征及影响因素分析。研究结果表明:土壤硝酸盐氮的空间变异性显著,变异系数达到82.88%以上。第一层土壤硝酸盐氮在南北向空间上存在严格的自相关性,空间变异的结构性成分比例较高;第二、三层位土壤硝酸盐氮空间变化接近分形布朗运动;第四层位土壤硝酸盐氮在各方向上都具有较高的随机性。总体土壤硝酸盐氮质量分数由西向东逐渐递减,在浑河中下游以及细河附近土壤硝酸盐氮质量分数偏高。不同影响因素对于硝酸盐氮的空间变异特征影响不一致:土壤硝酸盐氮质量分数与有机质质量分数的空间分布趋势一致;不同土壤类型中,水田环境中土壤硝酸盐氮随着深度线性递减,而其他类型土壤中硝酸盐氮质量分数在表层向下递减后有一个回升现象,这与它们各自所处的环境特点有关,而地表壤土和砂土富含硝酸盐。

关键词: 硝酸盐污染, 地质统计方法, 空间变异, 影响因素

Abstract: In order to understand the spatial variability of nitrate nitrogen in soil and provide a basis for control and remediation of nitrate contaminated soil, taking one typical agricultural irrigation area in Northeast China as an example, we analyzed the spatial variability characteristics and influencing factors of nitrate nitrogen in soil by geo-statistical methods. The results show that the spatial variation of soil nitrate nitrogen is significant, and the coefficient of variation is above 82.88%. There is strict autocorrelation of soil nitrate in the north-south direction of the first layer soil,the structural component of spatial variation is high. The spatial variation of nitrate in the second and third layers of soil is in a similar way as a fractal Brown movement, and the nitrate content of the fourth layer of soil is changed randomly in all directions. The total content of soil nitrate nitrogen decreases from the west to the east, and the content of soil nitrate were both high in the lower reaches of Hunhe River and near the Xihe River. The effects of different factors on the spatial variation of nitrate nitrogen are different. The content of nitrate in soil is consistent with the spatial distribution of organic matter content. The soil nitrate nitrogen in paddy field decreases linearly with depth,while the content of nitrate nitrogen in other types of soil has a rebounce after a downward decline, which is associated with the soil environmental characteristics with surface loam and sandy soil rich in nitrate.

Key words: nitrate pollution, geo-statistical methods, spatial variation, influencing factor

中图分类号: 

  • X53
[1] Darwish T, Atallah T, Francis R, et al. Observations on Soil and Groundwater Contamination with Nitrate: A Case Study from Lebanon-East Mediterranean[J]. Agricultural Water Management, 2011, 99(1):74-84.
[2] Peñaharo S, Llopisalbert C, Pulidovelazquez M, et al. Fertilizer Standards for Controlling Groundwater Nitrate Pollution from Agriculture: El Salobral-Los Llanos Case Study, Spain[J]. Journal of Hydrology, 2010, 392(3/4):174-187.
[3] Ledoux E, Gomez E, Monget J M, et al. Agriculture and Groundwater Nitrate Contamination in the Seine Basin:The STICS-MODCOU Modelling Chain[J]. Science of the Total Environment, 2007, 375(1/2/3):33-47.
[4] 赵解春, 李玉中, Yamashita,等. 地下水硝酸盐污染来源的推断与溯源方法概述[J]. 中国农学通报, 2010, 26(18):374-378. Zhao Jiechun, Li Yuzhong, Yamashita,et al. An Overview of the Sources of Nitrate Pollution in Groundwater[J].Chinese Agricultural Science Bulletin,2010,26(18):374-378.
[5] 陈德敏, 薛婧媛. 中国土壤污染现状与法律责任解读[J]. 重庆大学学报(社会科学版), 2008, 14(1):93-97. Chen Demin, Xue Jingyuan.The Present Situation of Soil Pollution and Its legal Responsibility in China[J].Journal of Chongqing University (Social Science Edition), 2008, 14(1):93-97.
[6] Davies F, Best E. Department of National Health and Welfare[J]. Med Serv J Can, 1959, 15(5):353-354.
[7] Burgess T M, Webster R. Optimal Interpolation and Isarithmic Mapping of Soil Properties: I:The Semivariogram and Punctual Kriging[J]. Soil Sci, 1980, 31: 315-341.
[8] 区美美, 王建武. 土壤空间变异研究进展[J]. 土壤, 2003, 35(1):30-33. Ou Meimei, Wang Jianwu.Research Progress of Soil Spatial Variability[J].Soil, 2003,35(1):30-33.
[9] Brocca L, Tullo T, Melone F, et al. Catchment Scale Soil Moisture Spatial-Temporal Variability[J]. Journal of Hydrology, 2012, 422/423(1):63-75.
[10] Allaire S E, Lange S F, Lafond J A, et al. Multiscale Spatial Variability of CO2 Emissions and Correlations with Physico-Chemical Soil Properties[J]. Geoderma, 2012, 170:251-260.
[11] Tesfahunegn G B, Tamene L, Vlek P L G. Catch-ment-Scale Spatial Variability of Soil Properties and Implications on Site-Specific Soil Management in Northern Ethiopia[J]. Soil & Tillage Research, 2011, 117(6):124-139.
[12] 赵智. 宜宾市土壤磷素的空间变异特征及影响因素研究[D]. 成都:四川农业大学, 2011. Zhao Zhi. Spatial Variability of Soil Phosphorus and Its Influencing Factors in Yibin[D]. Chengdu: Sichuan Agricultural University, 2011.
[13] 李启权, 王昌全, 岳天祥,等. 基于RBF神经网络的土壤有机质空间变异研究方法[J]. 农业工程学报, 2010, 26(1):87-93. Li Qiquan, Wang Changquan, Yue Tianxiang, et al. Study on Spatial Variability of Soil Organic Matter Based on Neural Network[J].Journal of Agricultural Engineering, 2010,26(1): 87-93..
[14] 黄文忠. 宜宾市土壤钾素的空间变异特征及影响因素研究[D]. 成都:四川农业大学, 2010. Huang Wenzhong.Spatial Variability of Soil Potassium and Its Influencing Factors in Yibin[D]. Chengdu:Sichuan Agricultural University, 2010.
[15] 张法升, 刘作新. 分形理论及其在土壤空间变异研究中的应用[J]. 应用生态学报, 2011, 22(5):1351-1358. Zhang Fasheng, Liu Zuoxin.Fractal Theory and Its Application in the Study of Soil Spatial Variability[J].Journal of Applied Ecology, 2011, 22(5):1351-1358.
[16] Agterberg F P. Multifractals and Geostatistics[J]. Journal of Geochemical Exploration, 2012, 122(11):113-122.
[17] 崔健, 李霄, 都基众,等. 基于GIS的浑河冲洪积扇地浅层地下水防污性能评价[J]. 地质与资源, 2011, 20(2):137-140. Cui Jian, Li Xiao, Du Jizhong, et al. Shallow Groundwater Vulnerability Assessment GIS Hunhe River Alluvial Fan Based on Geology and Resources[J].Geology and Resources, 2011,20(2):137-140.
[18] 李凯, 卞玉梅, 杨静,等. 下辽河平原地下水多年动态变化特征分析[J]. 地质与资源, 2009, 18(2):140-143. Li Kai, Bian Yumei, Yang Jing, et al.Analysis of Dynamic Characteristics of Groundwater in the Lower Liaohe River Plain[J].Geology and Resources, 2009,18(2):140-143.
[19] 陕红,张庆忠,张晓娟,等. 保存、分析方法等因素对土壤中硝态氮测定的影响[J].分析测试学报,2013,32(12):1466-1471. Shan Hong, Zhang Qingzhong, Zhang Xiaojuan, et al. Influence of Factors such as Preservation and Analysis on the Determination of Nitrate Nitrogen in Soil[J]. Journal of Analysis and Testing,2013,32(12):1466-1471.
[20] 张朝生, 章申. 长江水系沉积物重金属含量空间分布特征研究:地统计学方法[J]. 地理学报, 1997(2):184-192. Zhang Chaosheng, Zhang Shen.Spatial Distribution Characteristics of Heavy Metals in Sediments of the Yangtze River[J].Journal of Geography, 1997(2):184-192.
[21] 史利江, 郑丽波, 柳云龙. 农田土壤养分空间变异特征研究[J]. 河南农业大学学报, 2008, 42(1):51-56. Shi Lijiang, Zheng Libo, Liu Yunlong.Spatial Variability of Soil Nutrients in Farmland[J].Journal of Henan Agricultural University,2008, 42(1):51-56.
[22] Parfitt J M B, Timm L C, Pauletto E A, et al. Spatial Variability of the Chemical, Physical and Biological Properties in Lowland Cultivated with Irrigated Rice[J]. Revista Brasileira De Ciência Do Solo, 2009, 33(4):819-830.
[23] 刘颖. 金川湿地五种土壤净化硝酸盐能力的分析[D]. 长春:东北师范大学, 2009. Liu Ying. Analysis of Nitrate Removal Ability of Five Soils in Jinchuan Wetland[D].Changchun:Northeast Normal University,2009.
[24] Zhai Y, Zhao X, Teng Y, et al. Groundwater Nitrate Pollution and Human Health Risk Assessment by Using HHRA Model in an Agricultural Area, NE China[J]. Ecotoxicology & Environmental Safety, 2017, 137:130.
[25] 卞建民,刘彩虹,杨晓舟. 吉林西部大安灌区土壤贮水能力空间变异特征及土壤水分有效性[J]. 吉林大学学报(地球科学版),2017,47(2):554-563. Bian Jianmin, Liu Caihong, Yang Xiaozhou.Western Jilin Daan Irrigation Water Storage Capacity of Soil Spatial Variability and Soil Water Availability[J]. Journal of Jilin University (Earth Science Edition), 2017, 47(2):554-563.
[1] 于影, 陈俊杰, 林耿煨, 李青松. 多孔结构CuFe2O4-P材料制备及其催化过一硫酸盐降解咖啡因[J]. 吉林大学学报(地球科学版), 2026, 56(3): 1002-1012.
[2] 胡启智, 王秀娟, 丘锦荣, 康迪, 曾经文, 蔡倩怡, 刘人涛, 刘娜. 潮汕地区地下水饮用水源地酸性浅层地下水特征及其成因探讨[J]. 吉林大学学报(地球科学版), 2025, 55(3): 906-918.
[3] 张菲菲, 王林, 马静, 王万银, 李建国, 周新鹏, 李倩. 重力地形校正研究进展及展望[J]. 吉林大学学报(地球科学版), 2025, 55(1): 254-273.
[4] 蔡潇, 夏威, 马晓东, 臧素华, 丁安徐, 刘玉霞, 花彩霞, 朱一川, 李辉. 苏北盆地溱潼凹陷古近系阜宁组页岩油储集空间特征及其影响因素[J]. 吉林大学学报(地球科学版), 2024, 54(5): 1482-1493.
[5] 韩红闪, 朱琳, 郭高轩, 李炳华, 卢灿. 新水情背景下北京平原朝阳—通州沉降区地面沉降特征及其影响[J]. 吉林大学学报(地球科学版), 2024, 54(4): 1326-1338.
[6] 闫佰忠, 盖俊百, 王昕洲, 占新凯, 马苗苗. 石家庄滹沱河山前冲洪积扇地下水位动态演变特征及影响机制[J]. 吉林大学学报(地球科学版), 2023, 53(6): 1880-1891.
[7] 王志恒, 梁永平, 申豪勇, 赵春红, 唐春雷, 谢浩, 赵一. 自然与人类活动叠加影响下晋祠泉域岩溶地下水动态特征[J]. 吉林大学学报(地球科学版), 2021, 51(6): 1823-1837.
[8] 周彤, 商广明, 翟亚峰. 路基砾类填料土动力特性影响因素试验分析[J]. 吉林大学学报(地球科学版), 2021, 51(5): 1482-1489.
[9] 刘金萍, 王改云, 简晓玲, 王嘹亮, 杜民, 成古. 北黄海东部次盆地层序地层格架中烃源岩发育特征与影响因素[J]. 吉林大学学报(地球科学版), 2020, 50(1): 1-17.
[10] 计玮. 致密砂岩气储层气水相渗特征及其影响因素——以鄂尔多斯盆地苏里格气田陕234-235井区盒8段、山1段为例[J]. 吉林大学学报(地球科学版), 2019, 49(6): 1540-1551.
[11] 朱广祥, 郭秀军, 余乐, 孙翔, 贾永刚. 高黏粒含量海洋土电阻率特征分析及模型构建[J]. 吉林大学学报(地球科学版), 2019, 49(5): 1457-1465.
[12] 单祥, 郭华军, 郭旭光, 邹志文, 李亚哲, 王力宝. 低渗透储层孔隙结构影响因素及其定量评价——以准噶尔盆地金龙2地区二叠系上乌尔禾组二段为例[J]. 吉林大学学报(地球科学版), 2019, 49(3): 637-649.
[13] 孙超, 邵艳红, 王寒冬. 支挡式结构物水平冻胀力研究进展与思考[J]. 吉林大学学报(地球科学版), 2018, 48(3): 784-798.
[14] 郑国东, 覃建勋, 付伟, 杨志强, 赵辛金, 卢炳科. 广西北部湾地区表层土壤As分布特征及其影响因素[J]. 吉林大学学报(地球科学版), 2018, 48(1): 181-192.
[15] 施有志, 林树枝, 车爱兰, 惠祥宇, 冯少孔, 黄钰琳. 基于三维地震映像法的地铁盾构区间孤石勘探及其应用[J]. 吉林大学学报(地球科学版), 2017, 47(6): 1885-1893.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 刘建峰,迟效国,周燕,王铁夫,金巍,周建波,董春艳,黎广荣. 小兴安岭东北部金林岩体全岩-角闪石Rb-Sr年龄[J]. J4, 2005, 35(06): 690 -0693 .
[2] 黄冠星, 孙继朝, 张英, 刘景涛, 张玉玺, 荆继红. 珠江三角洲污灌区地下水重金属含量及其相互关系[J]. J4, 2011, 41(1): 228 -234 .
[3] 肖长来,梁秀娟,崔建铭,兰盈盈,张君,李书兰,梁瑞奇,郑策. 确定含水层参数的全程曲线拟合法[J]. J4, 2005, 35(06): 751 -0755 .
[4] 郭振华,王璞珺,印长海,黄玉龙. 松辽盆地北部火山岩岩相与测井相关系研究[J]. J4, 2006, 36(02): 207 -0214 .
[5] 孙永河,付晓飞,吕延防,付广,阎冬. 地震泵抽吸作用与油气运聚成藏物理模拟[J]. J4, 2007, 37(1): 98 -0104 .
[6] 谢忠雷,陈卓,孙文田,尹波. 不同茶园茶叶氟含量及土壤氟的形态分布[J]. J4, 2008, 38(2): 293 -0298 .
[7] 贾军涛,王璞珺,邵 锐,程日辉,张 斌,侯景涛,李金龙,边伟华. 松辽盆地东南缘营城组地层序列的划分与区域对比[J]. J4, 2007, 37(6): 1110 -1123 .
[8] 康立明,任战利. 多参数定量研究流动单元的方法--以鄂尔多斯盆地W93井区为例[J]. J4, 2008, 38(5): 749 -0756 .
[9] 薛永超, 程林松. 白豹油田长8油藏成岩储集相[J]. J4, 2011, 41(2): 365 -371 .
[10] 姜纪沂, 张宇东, 谷洪彪, 左兰丽. 基于灰色关联熵的地下水环境演化模式判别模型研究[J]. J4, 2009, 39(6): 1111 -1116 .