Please wait a minute...
E-mail Alert Rss
 
物探与化探  2020, Vol. 44 Issue (4): 847-854    DOI: 10.11720/wtyht.2020.1532
  生态环境调查 本期目录 | 过刊浏览 | 高级检索 |
延安市宝塔区土壤养分地球化学评价中的变权效果
王鹏(), 刘拓()
中国地质调查局西安地质调查中心 西北地质科技创新中心,陕西 西安 710054
Variational weight effect in the geochemical evaluation of soil nutrients in Baota District of Yan'an City
Peng WANG(), Tuo LIU()
Xi'an Center of China Geological Survey,Northwest China Center for Geoscience Innovation,Xi'an 710054,China
全文: PDF(2916 KB)   HTML
输出: BibTeX | EndNote (RIS)      
摘要 

基于变权理论,采用离散度衡量状态向量的权重调节需求力,调节度鉴别状态变权向量的权重调节供给力,调权水平权衡两者之间的平衡点,以选择合适的状态变权向量,构建土壤养分地球化学变权综合评价模型,以解决常权评价难以突出缺量养分元素的限制性作用,而引起评价失真的问题。结果显示:该方法操作性强,简单易行,能较好地反映土壤养分元素状态变权规律;积型与和型状态变权向量因其调节度难以控制,适用范围受限;而指数型状态变权向量的调节度随参数而变,调权效果易于控制,适用范围广,具有较好的变权效果。宝塔区土壤养分数据离散度低,均衡性高,综合确定调权水平为0.8,幂参数α=2.524 8时,权重向N、Corg转移合理,惩罚有度,科学地调整了土壤养分综合评价等级,等级由二等变三等2处,三等变四等42处,四等变五等131处,且识别出N、Corg为宝塔地区土壤养分的短板元素,整体限制了土壤养分质量提升,为因地制宜,科学改良土壤提供了必要依据。

服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
王鹏
刘拓
关键词 状态变权向量离散度调节度土壤养分评价调权水平    
Abstract

Based on the theory of variable weight, the authors used the weight of the state vector measured by the divergence degree to regulate the demand force, the weight of the variable state vector identified by the adjustment degree regulated the supply force, and the weight level of the adjustment weight weighed the balance point between the two so as to select the appropriate state. Change vector, a comprehensive evaluation model of soil nutrient geochemical transformation power, was constructed to solve the problem of evaluation distortion due to the difficulty of highlighting the restrictive effect of nutrient element. The results show that the method is easy to operate and can reflect the changing law of soil nutrient element. The weight vector of product and sum state is difficult to control because of its adjustment degree, and its application range is limited. However, the adjustment degree of exponential state variable vector varies with parameters, the adjustment effect is easy to control, and the application is wide, and it has a good change effect. The soil nutrient data in the pagoda area has low dispersion and high equilibrium. The comprehensive determination of the weight adjustment level is 0.8, the power parameter α= 2.524 8, and the weight is transferred to N and Corg. The penalty is reasonable, and the comprehensive evaluation level of soil nutrients is scientifically adjusted. The grade changes from second class to third class, 42 third class to fourth class, and 131 fourth class to fifth grade, and N and Corg are identifiedas the short plate elements of soil nutrients in the pagoda area which overall limit the improvement of soil nutrient quality.The results obtained by the authors providea necessary basis for scientific improvement of the soil under local conditions.

Key wordsstate variable weights vector    dispersion degree    adjustment degree    soil nutrient assessment    level of adjusting weights
收稿日期: 2019-11-10      出版日期: 2020-08-28
:  P596  
  S153.6  
基金资助:中国地质调查局基础地质调查项目“新疆耕地区土地质量地球化学调查”(DD20190521)
通讯作者: 刘拓
作者简介: 王鹏(1986-),男,河南杞县人,工程师,主要从事土地质量地球化学调查方面的研究工作。Email:331559202@qq.com
引用本文:   
王鹏, 刘拓. 延安市宝塔区土壤养分地球化学评价中的变权效果[J]. 物探与化探, 2020, 44(4): 847-854.
Peng WANG, Tuo LIU. Variational weight effect in the geochemical evaluation of soil nutrients in Baota District of Yan'an City. Geophysical and Geochemical Exploration, 2020, 44(4): 847-854.
链接本文:  
https://www.wutanyuhuatan.com/CN/10.11720/wtyht.2020.1532      或      https://www.wutanyuhuatan.com/CN/Y2020/V44/I4/847
类别 均衡函数 状态变权向量 变权向量
常权 S1(X)=S2(X)=…=Sm(X) wj(Xj)=wj
积型 B(X)=j=1mxjα(α[0,1]) SI(x1,x2,,xm)?i=1,ijmxj wj(x1,x2,,xm)=wjxjj=1mwjxj
和型 B(X)=j=1mxjα(α[0,1]) Sj(x1,x2,…,xm)=xjα wj(X)=wjxjα-1/j=1mwjxjα-1
指数型 B(X)=e-αx(α≥0) Sj(x1,x2,…,xm)=e-α(xj-n) wj(Xj)=wj/[wj+(1-wj)e-α]
Table 1  常见的状态变权向量
Fig.1  研究区域位置
仿真方案 状态变权向量Sj(X) 变权向量wj(Xj)
类型 参数α
常权 和型 1 wj
和型1 和型 0.6 wjxjα-1/j=1mwjxj-0.4
和型2 和型 0.2 wjxjα-1/j=1mwjxj-0.8
积型 和型 0 wjxj-1/j=1mwjxj-1
指数3 指数型 3 wj/[wj+(1-wj)e-3]
指数2 指数型 2 wj/[wj+(1-wj)e-2]
指数1 指数型 1 wj/[wj+(1-wj)e-1]
Table 2  不同仿真方案的状态变权向量和变权向量
Fig.2  不同仿真方案的评价结果
仿真方案 和型1 和型2 积型 指数3 指数2 指数1
一等变二等 0 0 0 0 0 0
二等变三等 0 1 2 2 2 1
三等变四等 11 28 40 39 41 11
四等变五等 1 112 699 912 25 0
三等变五等 0 0 0 5 0 0
合计 12 141 741 953 68 12
Table 3  不同仿真方案的土壤样品评价等级调权变化统计
Fig.3  土壤养分数据离散度频率
调节度 仿真方案
常权 和型1 和型2 积型 指数3 指数2 指数1
0~0.01 0 863 110 75 22 71 1245
0.01~0.02 0 397 125 61 52 174 15
0.02~0.03 0 0 351 108 60 955 0
0.03~0.04 0 0 538 221 157 54 0
0.04~0.05 0 0 115 446 748 4 0
0.05~0.06 0 0 15 274 188 0 0
0.06~0.07 0 0 3 50 25 0 0
0.07~0.08 0 0 0 14 2 0 0
0.08~0.09 0 0 0 5 1 0 0
0.09~0.10 0 0 0 2 1 0 0
Table 4  不同仿真方案的调节度频率统计
仿真方案 常权 和型1 和型2 积型 指数3 指数2 指数1
调权水平 0.2500 1.0000 1.0000 1.0000 0.8649 0.7044 0.4714
Table 5  不同仿真方案的调权水平
类别 含量 规范规
定等级
得分 常权 指数3 指数2 指数1 综合确定
A=0.8649 A=0.7044 A=0.4714 A=0.8
N 2.6174 1 5 0.3 0.1087 0.1614 0.2263 0.1321
P 0.9025 2 4 0.3 0.2472 0.2792 0.2976 0.2638
K 2.22 2 4 0.2 0.1409 0.1676 0.1883 0.1541
Corg. 1.09 4 2 0.2 0.5032 0.3918 0.2878 0.45
评价得分 3.9 3.1023 3.3778 3.6507 3.2321
评价等级 二等 三等 三等 二等 三等
Table 6  土壤样品评价等级调权变化统计
Fig.4  变权评价与常权评价结果对比
[1] 张凡, 袁澍, 雷韬, 等. 大量元素缺乏对小麦光合、呼吸作用和生理特性的影响[J]. 四川大学学报:自然科学版, 2009,46(2):462-468.
[1] Zhang F, Yuan S, Lei T, et al. The effects of macronutrient deficiency on photosynthetic activity respiration and physiological parameters in wheat[J]. Journal of Sichuan University:Natural Science Edition, 2009,46(2):462-468.
[2] 李德清, 李洪兴. 变权决策中变权效果分析与状态变权向量的确定[J]. 控制与决策, 2004,19(11):1241-1245.
[2] Li D Q, Li H X. Analysis of variable weights effect and selection of appropriate state variable weights vector in decisionmaking[J]. Control and Decision, 2004,19(11):1241-1245.
[3] 汪培庄. 模糊集与随机集落影[M]. 北京: 北京师范大学出版社, 1985.
[3] Wang P Z. Fuzzy sets and random sets[M]. Beijing: Beijing Normal University Press, 1985.
[4] 李洪兴. 因素空间理论与知识表示的数学框架(VIII)[J]. 模糊系统与数学, 1995,9(3):1-9.
[4] Li H X. Factor spaces and mathematical frame of knowledge representation(VIII)[J]. Fuzzy Systemsand Mathematics, 1995,9(3):1-9.
[5] 李洪兴. 因素空间理论与知识表示的数学框架(IX)[J]. 模糊系统与数学, 1996,10(2):12-19.
[5] Li H X. Factor spaces and mathematical frame of knowledge representation(IX)[J]. Fuzzy Systems and Mathematics, 1996,10(2):12-19.
[6] 刘文奇. 均衡函数及其在变权综合中的应用[J]. 系统工程理论与实践, 1997(4):58-64.
[6] Liu W Q. Balanced function and its application for variable weight synthesizing[J]. Systems Engineering Theory and Practice, 1997(4):58-64.
[7] 李德清, 赵彩霞, 谷云东. 等效均衡函数的性质及均衡函数的构造[J]. 模糊系统与数学, 2005,19(1):87-92.
[7] Li D Q, Zhao C X, Gu Y D. Properties of equivalent balance function and construction approaches of balance function[J]. Fuzzy Systems and Mathematics, 2005,19(1):87-92.
[8] 王红, 李月秋. 基于集合均值的惩罚型状态变权向量的构造及应用[J]. 数学的实践与认识, 2015,45(15):203-208.
[8] Wang H, Li Y Q. The structure of penalized state variable weight vector and its application based on the geomentric mean[J]. Mathematics in Practice and Theory, 2015,45(15):203-208.
[9] 胡月明, 万洪富, 吴志峰, 等. 基于GIS 的土壤质量模糊变权评价[J]. 土壤学报, 2001,38(3):266-274.
[9] Hu Y M, Wan H F, Wu Z F, et al. GIS-based soil quality evaluation with fuzzy variable weight[J]. ACTA Pedologica Sinica, 2001,38(3):266-274.
[10] 肖寒月, 张安明, 张田方, 等. 基于变权的农村居民点用地空间适宜性模糊综合评价:以重庆市长寿区长寿湖镇为例[J]. 西南师范大学学报:自然科学版, 2015,40(2):66-73.
[10] Xiao H Y, Zhang A M, Zhang T F, et al. On suitability evaluation for rural residential land based on variable weights:A case study of changshou lake town of Changshou district in Chongqing[J]. Journal of Southwest China Normal University:Natural Science Edition, 2015,40(2):66-73.
[11] 卢涛, 周学武, 王占岐, 等. 基于VW 模型的土地可持续利用评价及时空特征分析:以安徽省市域为例[J]. 中国土地科学, 2015,29(12):60-67.
[11] Lu T, Zhou X W, Wang Z Q, et al. Evaluation of regional sustainable land use and its spatial-temporal pattern based on the VW model:A case study of each city in Anhui Province[J]. China Land Sciences, 2015,29(12):60-67.
[12] 吴冠岑, 牛星. 土地生态安全预警的惩罚型变权评价模型及应用:以淮安市为例[J]. 资源科学, 2010,32(5):992-999.
[12] Wu G C, Niu X. Application of an evaluation model based on punishing variable weight for early warning of land ecological security:A case study of Huai’an city[J]. Resources Science, 2010,32(5):992-999.
[13] 孙钰, 李新刚, 姚晓东. 基于TOPSIS模型的京津冀城市群土地综合承载力评价[J]. 天津财经大学学报, 2012(11):71-80.
[13] Sun Y, Li X G, Yao X D. An evaluation of land comprehensive carrying capacity of Beijing-Tianjing-Hebei urban agglomeration based on TOPSIS model analysis[J]. Journal of Tianjin University of Commerce, 2012(11):71-80.
[14] 舒帮荣, 黄琪, 刘友兆, 等. 基于变权的城镇用地扩展生态适宜性空间模糊评价:以江苏省太仓市为例[J]. 自然资源学报, 2012,27(3):402-412.
doi: 10.11849/zrzyxb.2012.03.006
[14] Shu B R, Huang Q, Liu Y Z, et al. Spatial fuzzy assessment of ecological suitability for urban land expansion based on variable weights:A case study of Taicang[J]. Journal of Natural Resourcess, 2012,27(3):402-412.
[15] 张路路, 郑新奇, 张春晓, 等. 基于变权模型的唐山城市脆弱性演变预警分析[J]. 自然资源学报, 2016,31(11):1858-1870.
[15] Zhang L L, Zheng X Q, Zhang C X, et al. Early-warning of urban vulnerability in Tangshan city based on variable weight model[J]. Journal of Natural Resourcess, 2016,31(11):1858-1870.
[16] 庄伟, 廖和平, 潘卓, 等. 基于变权TOPSIS模型的三峡库区土地生态安全评估:以巫山县为例[J]. 西南大学学报:自然科学版, 2014,36(8):106-112.
[16] Zhuang W, Liao H P, Pan Z, et al. Evaluation of land eco-security in the threegoeges reservoir region based on the variable weight TOPSIS model:A case study of Wushan[J]. Journal of Southwest University:Natural Science Edition, 2014,36(8):106-112.
[17] 王鹏, 段星星, 赵禹, 等. 治沟造地新增耕地的土壤质量评价——延安宝塔区为例[J]. 土地开发工程研究, 2019,4(1):41-45.
[17] Wang P, Duan X X, Zhao Y, et al. The evaluation of soil nutrient status in newly reclaimed land from trench construction—Taking Baota district of Yan’an city as example[J]. Land Development and Engineering Research, 2019,4(1):41-45.
[1] 刘国栋, 李禄军, 戴慧敏, 许江, 刘凯, 张一鶴, 杨泽. 松辽平原土壤碳库变化及其原因分析[J]. 物探与化探, 2021, 45(5): 1109-1120.
[2] 刘道荣, 郑基滋, 占玄, 吴问丹. 临安山核桃主产区林地土壤重金属生态风险评价[J]. 物探与化探, 2019, 43(6): 1382-1388.
[3] 刘汉粮, 聂兰仕, Shojin Davaa, 王学求, 迟清华, Enkhtaivan Altanbagana. 中蒙边界阿尔泰地区汇水域沉积物69种元素背景值特征[J]. 物探与化探, 2019, 43(6): 1163-1172.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-3
版权所有 © 2021《物探与化探》编辑部
通讯地址:北京市学院路29号航遥中心 邮编:100083
电话:010-62060192;62060193 E-mail:whtbjb@sina.com