硫酸盐渍土表观电导率与水分、盐分及粒径关系研究

doi:10.13866/j.azr.2021.04.13

干旱区研究 ›› 2021, Vol. 38 ›› Issue (4): 1020-1030.doi: 10.13866/j.azr.2021.04.13

硫酸盐渍土表观电导率与水分、盐分及粒径关系研究

周林虎¹(),王昊宇²,张秉来¹,祁兆鑫¹,曹荣泰¹,范延彬¹(),孙生海¹,刘宇平¹

1.中国电建集团青海省电力设计院有限公司,青海西宁 810008
2.中国科学院地质与地球物理研究所,中国科学院页岩气与地质工程重点实验室,北京 100029

收稿日期:2020-10-31 修回日期:2020-12-16 出版日期:2021-07-15 发布日期:2021-08-03
通讯作者: 范延彬
作者简介:周林虎(1995-),男,硕士研究生,主要从事地质工程和环境岩土工程方面的研究工作. E-mail: 18997295192@163.com
基金资助:
中国电建集团青海省电力设计院有限公司科研项目(63-KY2019-012);中国电建集团青海省电力设计院有限公司科研项目(63-KY2019-013)

The relationship between EC_a of sulfate saline soil and moisture content, salt content, and particle size

ZHOU Linhu¹(),WANG Haoyu²,ZHANG Binglai¹,QI Zhaoxin¹,CAO Rongtai¹,FAN Yanbin¹(),SUN Shenhai¹,LIU Yuping¹

1. Power China Qinghai Electric Power Engineering Co., Ltd., Xining 810008, Qinghai, China
2. Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China

Received:2020-10-31 Revised:2020-12-16 Online:2021-07-15 Published:2021-08-03
Contact: Yanbin FAN

摘要/Abstract

摘要：

以西宁盆地北山地区小西沟流域为研究区,以区内硫酸盐渍土为研究对象,通过筛分试验得到了6组不同粒径(<0.075 mm、0.075~0.1 mm、0.1~0.25 mm、0.25~0.5 mm、0.5~1 mm、1~2 mm)的土壤试样,测试了不同含水率、含盐量(Na₂SO₄)和粒径的土壤试样表观电导率(EC_a),分析了EC_a与含水率、含盐量和粒径之间的关系,并采用灰色关联法得到了EC_a与含水率和含盐量之间的灰色关联度。结果表明:(1) EC_a随着含水率、含盐量和粒径的增加均呈增大的变化规律,当粒径为0.075~0.1 mm,含盐量为0.64%,含水率由5%增加至25%时,EC_a增大0.99 mS·cm^-1,增幅为2475%;当粒径为0.075~0.1 mm,含水率为10%,含盐量由0.18%增加至12.18%时,EC_a增大1.47 mS·cm^-1,增幅为864.71%;当含盐量为6.18%,含水率为10%,粒径由<0.075 mm增加至1~2 mm时,EC_a增大0.36 mS·cm^-1,增幅为38.71%。(2) 通过建立EC_a、含水率和含盐量之间的关系模型,得出在较高含水率(>15%)条件下,EC_a与含盐量之间的相关关系(P<0.05)显著于低含水率(≤15%)条件(P>0.05),即当含水率分别为10%和20%,含盐量由3.18%增加至12.18%时,EC_a增幅分别为56.41%和128.91%,说明高含水率条件下盐分对EC_a的灵敏度显著于低含水率。(3) 通过采用灰色关联分析法得到EC_a与含水率之间平均灰色关联度为0.80,与含盐量之间平均灰色关联度为0.68,说明当含水率为5%~25%,含盐量为0.18%~12.18%时,EC_a与含水率之间的发展态势一致性高于含盐量。该研究结果对于硫酸盐渍土导电特性和盐渍化程度评价具有参考价值。

关键词: 硫酸盐渍土, 表观电导率, 含水率, 含盐量, 粒径, 灰色关联度

Abstract:

This study first measured the sulfate saline soil in the Xiaoxigou basin of the Beishan area in the Xining Basin, China. Five groups of soil samples with different particle sizes (<0.075 mm, 0.075-0.1 mm, 0.1-0.25 mm, 0.25-0.5 mm, 0.5-1 mm, and 1-2 mm) were obtained through the screening test. The apparent electrical conductivity (EC_a) of the soil samples with different moisture contents, salt contents (Na₂SO₄), and particle sizes were then tested, and the relationship between EC_a and moisture content, salt content, and particle size were analyzed, and the gray correlation degree was obtained using the gray correlation method. The results showed that increased moisture content, salt content, and particle size resulted in an increasing change law for EC_a. For example, when the particle size was 0.075-0.1 mm, the salt content was 0.64%, and the moisture content increased from 5% to 25%, EC_a increased by 0.99 mS·cm^-1, an increase amplitude of 2475%. When the relationship model between EC_a, moisture content and salt content was established, it was concluded that under higher moisture contents (greater than 15%), the correlation between EC_a and salt content (P<0.05) was significantly higher than that of low moisture content conditions (less than 15%) (P>0.05). For example, when the moisture content was 10% or 20%, and the salt content increased from 3.18% to 12.18%, the increased amplitudes of EC_a were 56.41% and 128.91%, respectively, indicating that the sensitivity of salt to EC_aunder high moisture content conditions was more significant than the low moisture content. The average gray correlation degree between EC_a and the moisture content was 0.80, and between EC_aand salt content was 0.68. This indicates that the consistency of the development trend between EC_a and moisture content was higher than that of the salt content, when the moisture content was 5%-25%, and the salt content was 0.18%-12.18%. These research results have reference value for the evaluation of the electrical conductivity and salinization degree of sulfate saline soil.

Key words: sulfate saline soil, apparent electrical conductivity, water content, salt content, particle size, grey correlation

周林虎,王昊宇,张秉来,祁兆鑫,曹荣泰,范延彬,孙生海,刘宇平. 硫酸盐渍土表观电导率与水分、盐分及粒径关系研究[J]. 干旱区研究, 2021, 38(4): 1020-1030.

ZHOU Linhu,WANG Haoyu,ZHANG Binglai,QI Zhaoxin,CAO Rongtai,FAN Yanbin,SUN Shenhai,LIU Yuping. The relationship between EC_a of sulfate saline soil and moisture content, salt content, and particle size[J]. Arid Zone Research, 2021, 38(4): 1020-1030.

图/表 16

图1

图2

图3

图4

表1

图5

表2

表3

图6

表4

表5

图7

表6

表7

表8

表9

参考文献 37

[1]	He F, Xie T, Xie G, et al. Vertical migrating and cluster analysis of soil mesofauna at Dongying halophytes garden in Yellow River Delta[J]. Journal of Northeast Agricultural University, 2014, 21(1):25-30.
[2]	Flowers T J, Colmer T D. Plant salt tolerance: Adaptations in halophytes[J]. Annals of Botany, 2015, 115(3):327-331. doi: 10.1093/aob/mcu267
[3]	Su Y, Luo W, Lin W, et al. Model of cation transportation mediated by high-affinity, potassium transporters in higher plants[J]. Biological Procedures Online, 2015, 17: 1. https://doi.org/10.1186/s12575-014-0013-3. doi: 10.1186/s12575-014-0013-3
[4]	Hameed A, Gulzar S, Aziz I, et al. Effects of salinity and ascorbic acid on growth, water status and antioxidant system in a perennial halophyte[J]. AoB Plants, 2015, 7:1-11.
[5]	Griggs D, Stafford-Smith M, Gaffney O, et al. Policy: Sustainable development goals for people and planet[J]. Nature, 2013, 495(74):305-307. doi: 10.1038/495305a
[6]	Güler M, Arslan H, Cemek B, et al. Long-term changes in spatial variation of soil electrical conductivity and exchangeable sodium percentage in irrigated mesic ustifluvents[J]. Agricultural Water Management, 2014, 135(4):1-8. doi: 10.1016/j.agwat.2013.12.011
[7]	Rath K M, Rousk J. Salt effects on the soil microbial decomposer community and their role in organic carbon cycling: A review[J]. Soil Biology & Biochemistry, 2015, 81:108-123. doi: 10.1016/j.soilbio.2014.11.001
[8]	张顺, 贾永刚, 连胜利, 等. 电导率法在土壤盐渍化中的改进和应用进展[J]. 土壤通报, 2014, 45(3):754-759.
	[ Zhang Shun, Jia Yonggang, Lian Shengli, et al. Application and improvement of electrical conductivity measurements in soil salinity[J]. Chinese Journal of Soil Science, 2014, 45(3):754-759. ]
[9]	Kurtuluş C, Yeken T, Durda D. Estimating the soil water content using electrical conductivity, oven method and speedy moisture Tester[J]. Eurasian Soil Science, 2019, 52(12):1577-1582. doi: 10.1134/S1064229319120081
[10]	罗战友, 陶燕丽, 周建, 等. 杭州淤泥质土的电渗电导率特性研究[J]. 岩石力学与工程学报, 2019, 38(增刊1):3222-3228.
	[ Luo Zhanyou, Tao Yanli, Zhou Jian, et al. Study on electro-osmotic conductivity of Hangzhou silty soil[J]. Chinese Journal of Rock Mechanics and Engineering, 2019, 38(Suppl.):3222-3228. ]
[11]	陈仁朋, 陈伟, 王进学, 等. 饱和砂性土孔隙水电导率特性及测试技术[J]. 岩土工程学报, 2010, 32(5):780-783.
	[ Chen Renpeng, Chen Wei, Wang Jinxue, et al. Electrical conductivity of pore water in saturated sand and its measurement technology[J]. Chinese Journal of Geotechnical Engineering, 2010, 32(5):780-783. ]
[12]	Brevik E C, Fenton T E, Lazari A. Soil electrical conductivity as a function of soil water content and implications for soil mapping[J]. Precision Agriculture, 2006, 7(6):393-404. doi: 10.1007/s11119-006-9021-x
[13]	李瑛, 龚晓南, 郭彪, 等. 电渗软黏土电导率特性及其导电机制研究[J]. 岩石力学与工程学报, 2010, 29(增刊2):4027-4032.
	[ Li Ying, Gong Xiaonan, Guo Biao, et al. Research on conductivity characteristics of soft clay during electro-osmosis and its conductive mechanism[J]. Chinese Journal of Rock Mechanics and Engineering, 2010, 29(Suppl. 2):4027-4032. ]
[14]	李相, 丁建丽, 侯艳军, 等. 干旱半干旱区土壤含盐量和电导率高光谱估算[J]. 冰川冻土, 2015, 37(4):1050-1058.
	[ Li Xiang, Ding Jianli, Hou Yanjun, et al. Estimating the soil salt content and electrical conductivity in semi-arid and arid areas by using hyperspectral data[J]. Journal of Glaciology and Geocryology, 2015, 37(4):1050-1058. ]
[15]	Serrano J M, Shahidian S, Marques da Silva J. Spatial variability and temporal stability of apparent soil electrical conductivity in a Mediterranean pasture[J]. Precision Agriculture, 2017, 18(2):245-263. doi: 10.1007/s11119-016-9460-y
[16]	Usha L, Pandya H M. Role of soil electrical conductivity (EC) and pH in the suitability prognosis of agricultural practices in Noyyal River Basin[J]. International Journal of Research in Science, 2015, 2(1):6-12.
[17]	郑亚楠, 支金虎, 刘海江, 等. 不同改良措施对沙化土壤水分、pH值和电导率的影响[J]. 塔里木大学学报, 2020, 32(3):61-71.
	[ Zheng Yanan, Zhi Jinhu, Liu Haijiang, et al. Effects of different improvement measures on water content, pH value and conductivity of sandy soil[J]. Journal of Tarim University, 2020, 32(3), 61-71. ]
[18]	郭青林, 周杰, 裴强强, 等. 电导率在土遗址易溶盐快速测定中的研究与应用[J]. 地下空间与工程学报, 2019, 15(3):891-901.
	[ Guo Qinglin, Zhou Jie, Pei Qiangqiang, et al. Study and application of electrical conductivity to rapid determination of salt content in Earthen sites[J]. Chinese Journal of Underground Space and Engineering, 2019, 15(3):891-901. ]
[19]	潘保田, 李吉均. 青藏高原: 全球气候变化的驱动机与放大器[J]. 兰州大学学报, 1996, 32(1):108-115.
	[ Pan Baotian, Li Jijun. Qinghai-Tibetan Plateau: A driver and river and amplifier of the global climatic change[J]. Journal of Lanzhou University, 1996, 32(1):108-115. ]
[20]	孙恺. 西宁盆地地下热水循环机制与资源评价[D]. 西安: 西北大学, 2015.
	[ Sun Kai. The Underground Hot Water Circulation Mechanism and the Resource Evaluation in Xining Basin[D]. Xi’an: Northwest University.]
[21]	朱海丽, 胡夏嵩, 毛小青, 等. 青藏高原黄土区护坡灌木植物根系力学特性研究[J]. 岩石力学与工程学报, 2008, 27(增刊2):3445-3452.
	[ Zhu Haili, Hu Xiasong, Mao Xiaoqing, et al. Study on mechanical characteristics of shrub roots for slope protection in loess area of Tibetan Plateau[J]. Chinese Journal of Rock Mechanics and Engineering, 2008, 27(Suppl. 2):3445-3452. ]
[22]	严焕德. 西宁盆地末次冰期晚冰阶古气候变化的黄土记录[D]. 重庆: 西南大学, 2007.
	[ Yan Huande. Paleoclimatic Change During Late Stadial of the Last Glaciation Based on Loess from Xining Basin[D]. Chunqing: Southwest University, 2007. ]
[23]	王智明. 西宁黄土状盐渍土作为回填材料的研究[J]. 岩土工程技术, 2009, 23(6):316-320.
	[ Wang Zhiming. Study on the loess-like saline soil as backfill material in Xining[J]. 2009, 23(6):316-320. ]
[24]	孙毅. 西宁市黄土滑坡发育特征及稳定性分析[D]. 西安: 长安大学, 2013.
	[ Sun Yi. The Development Characteristics and Stability Analysis of Xining Loess Landslide[D]. Xi’an: Chang’an University, 2013. ]
[25]	罗友弟. 青海地区盐渍土分布规律及其盐胀溶陷机制探讨[J]. 水文地质工程地质, 2010, 37(4):116-120.
	[ Luo Youdi. Investigation of the distribution of saline soil in Qinghai and its unique engineering properties[J]. Hydrogeology & Engineering Geology, 2010, 37(4):116-120. ]
[26]	刘亚斌. 青藏高原东北部黄土区植物降盐效应评价及其增强边坡稳定性研究[D]. 北京: 中国科学院大学, 2018.
	[ Liu Yabin. Research on Evaluation of Salt Tolerance and Salt Reduction Effect of Plants and their Enhancement of Slope Stability in Xining Basin[D]. Beijing: University of Chinese Academy of Sciences, 2018. ]
[27]	工程地质手册编委会. 工程地质手册[M]. 北京: 中国建筑工业出版社, 2007.
	[Editorial Committee of Geological Engineering Handbook. Geological Engineering Handbook[M]. Beijing: China Construction Industry Press, 2007. ]
[28]	王智明. 西宁黄土状盐渍土地区工程建设中值得重视的问题[J]. 地质灾害与环境保护, 2010, 21(3):79-82.
	[ Wang Zhiming. The problems of great importance in the progect construction of the region of loess-like saline soil in Xining[J]. Journal of Geological Hazards and Environment Preservation, 2010, 21(3):79-82. ]
[29]	Friedman S P. Soil properties influencing apparent electrical conductivity: A review[J]. Computer and Electronics in Agriculture, 2005, 46(1-3):45-70. doi: 10.1016/j.compag.2004.11.001
[30]	Corwin D L, Lesh S M. Apparent soil electrical conductivity measurements in agriculture[J]. Computers and Electronics in Agriculture 2005, 46(1-3):11-43. doi: 10.1016/j.compag.2004.10.005
[31]	赵领娣, 冯剑, 孙凌霄, 等. 中国西北干旱区城市水、大气污染排放与FDI关系研究[J]. 干旱区研究, 2020, 37(1):67-73.
	[ Zhao Lingdi, Feng Jian, Sun Lingxiao, et al. Relationship between water & air pollutant emission and FDI in arid cities in Northwest China[J]. Arid Zone Research, 2020, 37(1):67-73. ]
[32]	何珍珍, 王宏卫, 杨胜天, 等. 塔里木盆地中北部绿洲生态安全评价[J]. 干旱区研究, 2018, 35(4):963-970.
	[ He Zhenzhen, Wang Hongwei, Yang Shengtian, et al. Evaluation on ecological security and analysis of influence factors of oasis in Northwest arid region[J]. Arid Zone Research, 2018, 35(4):963-970. ]
[33]	刘旭, 迟春明. 盐渍土溶液电导率与渗透势换算关系及其在盐度分级中的应用[J]. 湖北农业科学, 2016, 55(10):2481-2484.
	[ Liu Xu, Chi Chunming. Relationship between osmotic potential and electrical conductivity of salt-affected soil solutions and its application on salinity degree of salt-affected soil[J]. Hubei Agricultural Sciences, 2016, 55(10):2481-2484. ]
[34]	陈泽华. 弹性颗粒粒径与渗透率的匹配关系研究[D]. 青岛: 中国石油大学(华东), 2016.
	[ Chen Zehua. Research on the Matching Relation Between the Diameter of Elastical Particle and Permeability of the Formation[D]. Qingdao: China University of Petroleum(East China), 2016. ]
[35]	Delaney A J, Peapples P R, Arcone S A. Electrical resistivity of frozen and petroleum-contaminated fine-grained soil[J]. 2001, 32(2-3):107-119.
[36]	徐志闻, 刘亚斌, 胡夏嵩, 等. 基于水分和原位电导率的西宁盆地盐渍土含盐量估算模型[J]. 农业工程学报, 2019, 35(5):148-154.
	[ Xu Zhiwen, Liu Yabin, Hu Xiasong, et al. Salt content estimation model of saline soil in Xining basin based on water content and in-situ electrical conductivity[J]. Transactions of the Chinese Society of Agricultural Engineering, 2019, 35(5):148-154. ]
[37]	Oh M H, Lee J H, Yoon G L, et al. Pilot-scale field model tests for detecting landfill leachate intrusion into the subsurface using a grid-net electrical conductivity measurement system[J]. Environmental Geology, 2003, 45(2):181-189. doi: 10.1007/s00254-003-0880-4

粒径/mm	含水率/%
粒径/mm	5	10	15	20	25
<0.075	0.03±0.01	0.25±0.05	0.48±0.07	0.76±0.07	1.01±0.09
0.075~0.1	0.04±0.01	0.29±0.10	0.55±0.13	0.80±0.17	1.03±0.12
0.1~0.25	0.05±0.01	0.33±0.16	0.60±0.18	0.84±0.29	1.05±0.24
0.25~0.5	0.06±0.02	0.38±0.11	0.67±0.24	0.89±0.46	1.09±0.25
0.5~1	0.07±0.02	0.42±0.12	0.73±0.19	0.95±0.21	1.13±0.28
1~2	0.09±0.02	0.50±0.17	0.76±0.20	0.97±0.13	1.17±0.23

粒径/mm	拟合方程	拟合优度(R²)	残差平方和(RSS)	显著性系数(P)
<0.075	y=0.0071x^1.5470	0.9900	0.0046	1.4213×10^-4
0.075~0.1	y=0.0116x^1.4018	0.9837	0.0076	2.6167×10^-4
0.1~0.25	y=0.0164x^1.3024	0.9773	0.0108	3.8852×10^-4
0.25~0.5	y=0.0230x^1.2099	0.9673	0.0164	6.0342×10^-4
0.5~1	y=0.0292x^1.1499	0.9576	0.0228	8.3150×10^-4
1~2	y=0.0385x^1.0717	0.9559	0.0235	7.6895×10^-4

粒径/mm	含盐量/%
粒径/mm	0.18	3.18	6.18	9.18	12.18
<0.075	0.16±0.04	0.87±0.11	0.93±0.10	1.11±0.17	1.57±0.32
0.075~0.1	0.17±0.04	0.90±0.13	0.97±0.09	1.19±0.12	1.64±0.25
0.1~0.25	0.19±0.06	0.92±0.08	1.01±0.12	1.28±0.16	1.70±0.33
0.25~0.5	0.20±0.04	0.98±0.14	1.08±0.16	1.37±0.21	1.73±0.20
0.5~1	0.22±0.05	1.07±0.18	1.23±0.21	1.44±0.32	1.76±0.38
1~2	0.24±0.09	1.14±0.20	1.29±0.23	1.59±0.40	1.81±0.36

粒径/mm	拟合方程	拟合优度(R²)	残差平方和(RSS)	显著性系数(P)
<0.075	y=-0.0030x²+0.1393x+0.2367	0.8232	0.0918	0.0884
0.075~0.1	y=-0.0033x²+0.1479x+0.2429	0.8480	0.0868	0.0760
0.1~0.25	y=-0.0035x²+0.1558x+0.2532	0.8816	0.0727	0.0592
0.25~0.5	y=-0.0052x²+0.1788x+0.2571	0.8911	0.0703	0.0544
0.5~1	y=-0.0080x²+0.2141x+0.2714	0.8941	0.0706	0.0529
1~2	y=-0.0096x²+0.2384x+0.2806	0.9133	0.0631	0.0433

含盐量/%	含水率/%
含盐量/%	5	10	15	20	25
0.18	0.06±0.03	0.25±0.07	0.33±0.03	0.72±0.05	1.11±0.24
3.18	0.29±0.04	1.17±0.20	2.27±0.39	5.43±1.09	8.90±1.49
6.18	0.38±0.04	1.30±0.26	3.03±0.41	8.56±1.54	12.54±2.09
9.18	0.52±0.06	1.64±0.22	3.99±0.55	10.05±1.59	14.99±1.51
12.18	0.64±0.07	1.83±0.35	4.68±0.95	12.43±1.73	17.05±2.56

硫酸盐渍土表观电导率与水分、盐分及粒径关系研究

The relationship between EC_a of sulfate saline soil and moisture content, salt content, and particle size

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 16

参考文献 37

相关文章 15

Metrics

本文评价

推荐阅读 0

含盐量/%	土壤电导率与含水率拟合方程	拟合优度(R²)	残差平方和(RSS)	显著性水平(P)
0.18	y=0.0019x^1.9837	0.9804	0.0104	4.7251×10^-4
3.18	y=0.0038x^2.4149	0.9945	0.2070	9.1196×10^-5
6.18	y=0.0060x^2.3830	0.9785	1.7457	7.3282×10^-4
9.18	y=0.0088x^2.3191	0.9867	1.4969	3.4237×10^-4
12.18	y=0.0144x^2.2104	0.9710	4.4105	0.0011

含水率/%	土壤电导率与含盐量拟合方程	拟合优度(R²)	残差平方和(RSS)	显著性水平(P)
5	y=-0.0014x²+0.0630x+0.0644	0.9757	0.0024	0.0122
10	y=-0.0099x²+0.2436x+0.2899	0.9100	0.0674	0.0450
15	y=-0.0183x²+0.5730x+0.3449	0.9768	0.1317	0.0116
20	y=-0.0500x²+1.5527x+0.6521	0.9828	0.7059	0.0086
25	y=-0.1004x²+2.5066x+1.0689	0.9812	1.4804	0.0094

土壤含水率/%	土壤含盐量/%
土壤含水率/%	0.18	3.18	6.18	9.18	12.18
5	0.825	0.873	1.000	1.000	1.000
10	0.919	0.767	0.807	0.801	0.771
15	0.666	0.738	0.809	0.848	0.833
20	1.000	1.000	0.904	0.957	0.831
25	0.476	0.475	0.559	0.560	0.582
灰色关联度	0.777	0.771	0.816	0.833	0.803

土壤含盐量/%	土壤含水率/%
土壤含盐量/%	5	10	15	20	25
0.18	0.536	0.707	0.893	1.000	1.000
3.18	0.368	0.438	0.507	0.596	0.549
6.18	1.000	1.000	1.000	0.725	0.786
9.18	0.579	0.728	0.878	0.767	0.875
12.18	0.346	0.401	0.451	0.485	0.452
灰色关联度	0.565	0.655	0.745	0.715	0.733

[1]	李小雨, 贾科利, 魏慧敏, 陈睿华, 王怡婧. 基于随机森林算法的土壤含盐量预测[J]. 干旱区研究, 2023, 40(8): 1258-1267.
[2]	徐涛,于欢,孔博,邱霞,胡孟珂,凌鹏飞. 藏北高原砾石粒径空间异质性研究[J]. 干旱区研究, 2023, 40(2): 292-302.
[3]	周翔, 王鹏, 布玛丽亚穆·麦麦提, 王秋琰, 岳健. 新疆天山东部森林地表可燃物的热值研究[J]. 干旱区研究, 2023, 40(10): 1670-1677.
[4]	付东升,任晓萌,王燕玲,张翠英,蒙仲举. 农牧交错带不同利用方式土壤粒径分布特征——以呼和浩特市武川县为例[J]. 干旱区研究, 2022, 39(4): 1322-1332.
[5]	王佳文,彭杰,纪文君,白建铎,冯春晖,李洪义. 基于电磁感应数据的南疆棉田土壤pH反演研究[J]. 干旱区研究, 2022, 39(4): 1293-1302.
[6]	苏春利,纪倩楠,陶彦臻,谢先军,潘洪捷. 河套灌区西部土壤盐渍化分异特征及其主控因素[J]. 干旱区研究, 2022, 39(3): 916-923.
[7]	白建铎,彭杰,史舟,王玉珍,柳维扬,李洪义. 基于多源数据的干旱区盐渍化农田精准管理分区研究[J]. 干旱区研究, 2022, 39(2): 646-655.
[8]	万旭升,颜梦宇,路建国,晏忠瑞. 土中水膜厚度变化规律及未冻水含量预测方法[J]. 干旱区研究, 2022, 39(1): 135-143.
[9]	孙彦旭,周自翔,米朝娟. 基于土地利用覆被变化（LUCC）的人类活动与流域生物多样性灰色关联分析[J]. 干旱区研究, 2021, 38(6): 1782-1792.
[10]	冯壮壮,史海滨,苗庆丰,李健男,孙伟,代丽萍. 基于多变量时间序列模型的锡林郭勒草原参考作物蒸散量预测[J]. 干旱区研究, 2021, 38(6): 1650-1658.
[11]	杜海燕, 周智彬, 刘凤山, 闫冰. 绿洲化过程中阿拉尔垦区土壤粒径分形变化特征[J]. 干旱区研究, 2013, 30(4): 615-622.
[12]	杨兴华, 何清, 阿吉古丽·沙依提 , 程玉景. 塔克拉玛干沙漠北缘荒漠过渡带风沙流结构特征分析[J]. 干旱区研究, 2012, 29(4): 699-704.
[13]	李兴, 蒋进, 宋春武, 陈明 , 张运超, 张恒. 不同粒径保水剂吸水特性及其对土壤物理性能的影响[J]. 干旱区研究, 2012, 29(4): 609-614.
[14]	桂东伟, 雷加强, 曾凡江, 穆桂金, 潘燕芳, 李开封. 绿洲农田不同深度土壤粒径分布特性及其影响因素——以策勒绿洲为例[J]. 干旱区研究, 2011, 28(4): 622-629.
[15]	石占飞, 王力, 王建国. 陕北神木矿区土壤颗粒体积分形特征及意义[J]. 干旱区研究, 2011, 28(3): 394-400.

硫酸盐渍土表观电导率与水分、盐分及粒径关系研究

The relationship between ECa of sulfate saline soil and moisture content, salt content, and particle size

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 16

参考文献 37

相关文章 15

Metrics

本文评价

推荐阅读 0

The relationship between EC_a of sulfate saline soil and moisture content, salt content, and particle size