引用本文:
牛颖超, 周忠发, 王历, 但雨生, 冯倩. 基于分形插值模型的贵州农产品区土壤养分综合评价研究[J]. 环境化学, 2018, 37(10): 2207-2218
NIU Yingchao, ZHOU Zhongfa, WANG Li, DAN Yusheng, FENG Qian. Comprehensive evaluation of soil nutrients in guizhou agricultural products areas based on the fractal interpolation model[J]. Environmental Chemistry, 2018, 37(10): 2207-2218

基于分形插值模型的贵州农产品区土壤养分综合评价研究
牛颖超1,2,3, 周忠发1,2,3, 王历1,2,3, 但雨生1,2,3, 冯倩1,2,3
1. 贵州师范大学喀斯特研究院, 贵阳, 550001;
2. 贵州省喀斯特山地生态环境国家重点实验室培育基地, 贵阳, 550001;
3. 喀斯特石漠化防治工程技术研究中心, 贵阳, 550001
摘要:
以贵州省农产品区为研究对象,选取5个养分指标,利用分形维数权重的方法构建土壤养分分形插值模型,结合GIS技术对贵州省农产品区的土壤养分现状进行综合评价,并引入多种评价模型与分形插值模型评价结果进行验证分析.结果表明:(1)贵州省农产品区中速效钾含量丰富,中位数为162.00 mg·kg-1,全氮、有机质、有效磷含量为中等水平,中位数为1.35 g·kg-1、20.30 g·kg-1、10.30 mg·kg-1,土壤为微酸性土壤.(2)分形插值是解决复杂的非线性关系问题的模型方法,将其运用于土壤养分综合评价中既考虑了指标间的非线性关系又考虑了指标间的权重关系,通过与投影寻踪模型、熵权TOPSIS模型和数值化模型对比验证与分析,分形插值模型与其他三种模型方法的评价结果有较好的一致性,评价结果更加客观、合理,为土壤养分综合评价提供了一种较好的新方法.(3)土壤养分分形插值综合评价分布图显示,贵州农产品区北部地区较南部地区土壤养分较好,由中部向四周呈放射状递减的趋势,土壤养分各等级水平均有体现,其中等和缺乏水平分布面积占研究总面积的38.17%和36.99%,说明整个研究区土壤养分水平综合状况主要以中等和缺乏水平为主.
关键词:    分形插值模型    GIS    土壤养分    综合评价    贵州农产品区   
Comprehensive evaluation of soil nutrients in guizhou agricultural products areas based on the fractal interpolation model
NIU Yingchao1,2,3, ZHOU Zhongfa1,2,3, WANG Li1,2,3, DAN Yusheng1,2,3, FENG Qian1,2,3
1. School of Karst Science, Guizhou Normal University, Guiyang, 550001, China;
2. State Key Laboratory Incubation Base for Karst Mountain Ecology Environment of Guizhou Province, Guiyang, 550001, China;
3. State Engineering Technology Institute for Karst Desertification Control, Guiyang, 550001, China
Abstract:
Agricultural products area in Guizhou Province was the research object. 5 nutrient indices were selected. Soil nutrient fractal interpolation model was constructed using the fractal dimension weight, combined with comprehensive evaluation of the soil nutrient status of agricultural products area in Guizhou province by GIS technology, and then, the evaluation results of multiple evaluation model and fractal interpolation model were introduced to verify and analyze. The results showed that:(1) Available K of agricultural products area in Guizhou is abundant.The median is 162.00 mg·kg-1.Total nitrogen, organic matter and available phosphorus content are in meddle level:the median is 1.35 g·kg-1, 20.30 g·kg-1 and 10.30 mg·kg-1 respectively, and the soil is subacid. (2) The fractal interpolation model in solving non-linear problem is complex. It is applied to the comprehensive evaluation of soil nutrients, considering the nonlinear relationship and the weight relationship among indices. Through compare with, verify and analyze the projection tracking model, entropy TOPSIS model and numerical model, the evaluation results of the fractal interpolation model are consisted with the three other methods. The evaluation results are more objective and reasonable, and it provides a new method for the comprehensive evaluation of soil nutrients. (3) The fractal interpolation of soil nutrient comprehensive evaluation map shows that the soil nutrient in northern region of Guizhou agricultural products area is better than in southern area. The soil nutrient level from the middle to the periphery is radial decreasing, and the level is reflected. The middle and low horizontal distribution area is accounted for 38.17% and 36.99% of the total area respectively. The status of soil nutrients in the study area are mainly in the middle and low levels.
Key words:    fractal interpolation model    GIS    soil nutrient    comprehensive assessment    Guizhou agricultural products area   
收稿日期: 2017-11-28
基金项目: 国家自然科学基金(41661088),贵州省高层次创新型人才培养计划——"百"层次人才(黔科合平台人才[2016]5674),贵州省科技计划(黔科合GY字[2015]3001)和国家遥感中心贵州分部平台建设(黔科合计Z字[2012]4003,黔科合计Z字[2013]4003).
周忠发,Tel:13985026897,E-mail:fa6897@163.com
相关功能
PDF(4675KB) Free
打印本文
加入收藏夹
把本文推荐给朋友
作者相关文章
牛颖超  在本刊中的所有文章
周忠发  在本刊中的所有文章
王历  在本刊中的所有文章
但雨生  在本刊中的所有文章
冯倩  在本刊中的所有文章

参考文献:
[1] MZUKU M, KHOSLA R, REICH R, et al. Spatial variability of measured soil properties across sit-specific management zones[J].Soil Science Society of American Journal,2005, 69:1572-1579.
[2] 刘付程,史学正,潘贤章,等.太湖流域典型地区土壤磷素含量的空间变异特征[J].地理科学,2007,27(3):348-353. LIU F C, SHI X Z, PAN X Z, et al. Characteristics of spatial variability of total phosphorus in soil of the typical area of Taihu lake watershed[J]. Scientia Geographica Sinica, 2007,27(3):348-353(in Chinese).
[3] 李翔,潘瑜春,赵春江,等.利用不同方法估测土壤有机质及其对采样数的敏感性分析[J].地理科学,2007,27(5):689-694. LI X, PAN Y C, ZHAO C J, et al. Estimation and effect of soil organic matter based on four methods of sampling number on estimation accuracy[J]. Scientia Geographica Sinica, 2007,27(5):689-694(in Chinese).
[4] 连纲,郭旭东,傅伯杰,等.基于环境相关法的土壤属性空间分布特征研究——以黄土丘陵沟壑区小流域为例[J].地理科学,2008,28(4):554-558. LIAN G, GUO X D, FU B J, et al. Spatial distribution of soil properties in a small catchment of the loess plateau based on environmental correlation[J]. Scientia Geographica Sinica, 2008,28(4):554-558(in Chinese).
[5] DUMANSKI J, PIERI C. Land quality indicators:Research plan[J]. Agriculture Ecosystems & Environment, 2000, 81(2):93-102.
[6] 陈灿, 潘亚男, 王欣,等. 凤眼莲生物炭对稻田土壤肥力的影响[J].环境化学, 2017, 36(4):907-914. CHEN C, PAN Y, WANG X, et al. Influence of water hyacinth biochar on retention of nutrition in paddy soils[J]. Environmental Chemistry, 2017, 36(4):907-914(in Chinese).
[7] 何婕平,康师安.主成份分析在研究草原土壤养分评价中的应用[J].内蒙古林学院学报,1994,16(4):52-57. HE J P, KANG S. Application of major component analysis to evaluate the study of grassland soil fertilities[J]. Journal of Inner Mongolia Forestry College, 1994,16(4):52-57(in Chinese).
[8] 张桃林,王兴祥.土壤退化研究的进展与趋向[J].自然资源学报,2000,15(3):280-284. ZHANG T L, WANG X X. Development and orientation of research work on soil degradation[J]. Journal of Natural Resources, 2000,15(3):280-284(in Chinese).
[9] 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. YE H C, ZHANG S W, HUANG Y F, et al. Assessment of surface soil fertility and its spatial variability in Yanqing basin, Beijing, China[J].Scientia Agricultura Sinica, 2013,46(15):3151-3160(in Chinese).
[10] 舒英格,何腾兵,高雪,等.喀斯特山区县域耕地土壤养分综合评价[J].贵州农业科学,2009,37(8):112-115. SU Y G, HE T B, GAO X, et al. Comprehensive evaluation on soil nutrients of arable land on a county scale in Kast mountainous area[J]. Guizhou Agricultural Sciences, 2009,37(8):112-115(in Chinese).
[11] 王雅君,冯文兰,秦鱼生,等.物元可拓模型在雁江区土壤养分综合评价中的应用[J].安徽农业科学,2011,39(22):13472-13480. WANG Y J, FENG W L, QING Y S, et al. The Application of matter-element extension model in Yanjiang soil nutrient comprehensive evaluation[J]. Journal of Anhui Agricultural Sciences, 2011,39(22):13472-13480(in Chinese).
[12] 武伟,唐明华,刘洪斌.土壤养分的模糊综合评价[J].西南农业大学学报,2000,22,(3):270-272. WU W, TANG M H, LIU H B. Fuzzy synthetic evaluation of soil nutrients[J]. Journal of Southwest University(Natural Science Edition), 2000,22,(3):270-272(in Chinese).
[13] 姚荣江,杨劲松,陈小兵,等.苏北海涂围垦区耕层土壤养分分级及其模糊综合评价[J].中国土壤与肥料,2009,(4):16-20. YAO R J, YANG J S, CHEN X B, et al. classification and fuzzy synthetic evaluation of soil nutrient at plough horizon in coastal region of north Jiangsu province[J]. Soil and Fertilizer Sciences in China, 2009,(4):16-20(in Chinese).
[14] 陈晶晶,张楚.多元统计分析在评价不同土地利用方式下土壤肥力中的应用[J].江西农业学报,2009.21(7):97-99. CHEN J J, ZHANG C. Application of multivariate statistical analysis in evaluation of soil fertility under different band use modes[J]. Acta Agriculturae Jiangxi, 2009.21(7):97-99(in Chinese).
[15] 包耀贤,徐明岗,吕粉桃,等.长期施肥下土壤肥力变化的评价方法[J].中国农业科学,2012,45(20):4197-4204. BAO Y X, XU M G, LV F T, et al. Evaluation method on soil fertility under long-term fertilization[J]. Scientia Agricultura Sinica, 2012,45(20):4197-4204(in Chinese).
[16] 王振南,张清平,陆姣云,等.基于灰色关联度法的不同年龄紫花苜蓿草地土壤肥力评价[J].草业科学,2015,32(8):1230-236. WANG Z N, ZHANG Q P, LU J Y, et al. Assessment of soil fertility in lucerne stands of different ales using grey correlative degree analysis[J].Pratacultural Science,2015,32(8):1230-1236(in Chinese).
[17] 任艳芳,何俊瑜,张艳超,等.贵州省开阳茶园土壤养分状况与肥力质量评价[J].土壤,2016,48(4):668-674. REN Y F, HE J Y, ZHANG Y C, et al. Soil nutrient status and comprehensive evaluation of quality of soil fertility of tea garden in Kaiyang of Guizhou Province[J]. Soils, 2016,48(4):668-674(in Chinese).
[18] 罗霄,李忠武,叶芳毅,等.基于PI指数模型的南方典型红壤丘陵区稻田土壤肥力评价[J].地理科学,2011,31(4):495-500. LUO X, LI Z W, YE F Y, et al. Paddy soil fertility assessment in typical of southern China based on red soil hilly region PI model[J]. Scientia Geographica Sinica, 2011,31(4):495-500(in Chinese).
[19] WILLIAMS J R,RENARD K G,D-YKE P T. EPIC:A new method for assessing erosion's effects on soil productivity[J]. Journal of Soil and Water Conservation,1983,38(5):381-383.
[20] S-HAFFER M J, SCHUMACHER T EGO C L. Long-term effects of erosion and climate interactions on corn yield[J].Journal of Soil and Water Conservation,1994, 49(3):272-275.
[21] OLSON K R, LAL R, NORTON L D. Evaluation of methods to study soil erosion-productivity relationships[J].Journal of Soil and Water Conservation, 1994, 49(6):586-590.
[22] BARNSLEY M F. Fractal functions and interpolation[J]. Constr Approx,1986, 2:303-329.
[23] WANG H Y, YU J S. Fractal interpolation functions with variable parameters and their analytical properties[J]. J Approx Theory,2013,175:1-18.
[24] 潘陶,窦希萍,焦增祥,等.基于分形插值方法的长江口深水航道回淤量计算[J].海洋工程,2015,33(3):63-70. PAN T, DOU X P, JIAO Z X, et al. Calculation of backsilting quantity in Yangtze Estuary deepwater channel based on fractal interpolation method[J]. The Ocean Engineering,2015, 33(3):63-70(in Chinese).
[25] 贺中华,陈晓翔. 基于土壤因素耦合的喀斯特流域水文干旱模拟——以贵州省为例[J].地理科学,2013,33(6):724-733. HE Z H, CHEN X X. The Hydrological fought simulating in karst basin based on coupled soul factorstaking Guizhou Province as a case[J]. Scientia Geographica Sinica, 2013,33(6):724-733(in Chinese).
[26] NY/T 1634-2008.中国耕地地力调查与质量评价技术规程[S].北京:中国标准出版社,2008. NY/T 1634-2008.Rules for soil quality survey and assessment[S]. Beijing:Standards Press of China,2008(in Chinese).
[27] 张韫.土壤·水·植物理化分析教程[M].北京:中国农林出版社,2011. ZHANG Y. Soil·Water·Plant physics and chemistry analysis[M]. Beijing:China agriculture and Forestry Press,2011(in Chinese).
[28] 王政权.地统计学及在生态学中的应用[M].北京:科学出版社, 1999. WANG Z Q. Geostatistics and its applications in ecology[M]. Beijing:Science Press,1999(in Chinese).
[29] 吕真真,刘广明,杨劲松,等.环渤海沿海区域土壤养分空间变异及分布格局[J].土壤学报,2014(5):944-952. LV Z Z, LIU G M, YANG J S, et al. Spatial variability and distribution pattern of soil nutrients in bohai coastal area[J]. Acta Pedologica Sinica, 2014(5):944-952(in Chinese).
[30] 苏伟,聂宜民,胡晓洁,等.利用Kriging插值方法研究山东龙口北马镇农田土壤养分的空间变异[J].安徽农业大学学报,2004,31(1):76-81. SU W, NIE Y M, HU X J, et al. Study on spatial variability of soil nutrients in Beima town of Shandong Province by using Kriging method[J].Journal of Anhui Agricultural University,2004,31(1):76-81(in Chinese).
[31] 杜挺,谢贤健,梁海艳,等.基于熵权TOPSIS和GIS的重庆市县域经济综合评价及空间分析[J].经济地理,2014,34(6):40-47. DU T, XIE X J, LIANG H Y, et al. County economy comprehensive evaluation and spatial analysis in Chongqing city based on entropy weight-TOPSIS and GIS[J]. Economic Geography,2014,34(6):40-47(in Chinese).