Modeling of Soil Salinity Interpretation in Manas County Based on EM38

doi:10.11924/j.issn.1000-6850.casb2022-0116

Abstract

Abstract:

Geodetic conductivity meter (EM38) is an effective method for rapid and nondestructive determination of soil salinity. To establish the relationship model between soil salinity and EM38 test value of farmland in Xinjiang, farmland soil in Manas County of Xinjiang was taken as the research object, EM38 was used to measure soil apparent conductivity in the field, and soil profile was excavated for stratified sampling, then the soil salinity content was measured in the laboratory. Based on this, a soil salinity interpretation model based on EM38 was constructed. The results showed that: (1) based on the measured soil salinity and EM38 conductivity data, the EM38 vertical model and horizontal model and their combined binary linear regression soil salinity interpretation model at different soil depths were established; (2) the R² of the three EM38 salinity interpretation models increased with the increase of soil depth, and the accuracy of the vertical model was higher than that of the horizontal model when the soil depth was less than 20 cm, but the accuracy was conversed when the soil depth was greater than 20 cm; (3) the interpretation accuracy of binary linear regression model was obviously better than that of unitary linear regression model. The EM38 soil salinity interpretation model constructed in this study could provide reliable inversion parameters and models for the rapid investigation and dynamic monitoring of soil salinity in oasis farmland.

Key words: Manas County, EM38 geodetic conductivity meter, soil salinity, interpretation model

YAN Jie, GU Haibin, WU Hongqi, ZHANG Li, YAN An, SHENG Jiandong. Modeling of Soil Salinity Interpretation in Manas County Based on EM38[J]. Chinese Agricultural Science Bulletin, 2023, 39(4): 69-75.

Figures/Tables 10

References 32

[1]	史晓艳, 李维弟, 余露, 等. 玛纳斯河流域农灌区土壤盐渍化遥感定量评价[J]. 灌溉排水学报, 2018, 37(11):69-75,83.
[2]	张鹏辉, 侯宪东, 王健. 新疆地区盐碱地成因及治理措施[J]. 现代农业科技, 2017(24):178-180.
[3]	姚远, 丁建丽, 张芳, 等. 基于电磁感应技术的塔里木盆地北缘绿洲土壤盐分空间变异特性[J]. 中国沙漠, 2014, 34(3):765-772.
[4]	陈玉娟. EM38大地电导仪的应用研究[J]. 干旱地区农业研究, 2004, 22(2):146-148.
[5]	刘广明, 杨劲松, 鞠茂森, 等. 电磁感应土地测量技术及其在农业领域的应用[J]. 土壤, 2003, 35(1):27-29.
[6]	姚荣江, 杨劲松, 刘广明. EM38在黄河三角洲地区土壤盐渍化快速检测中的应用研究[J]. 干旱地区农业研究, 2008, 26(1):67-73.
[7]	URDANOZ V, ARAGÜÉS R. Comparison of Geonics EM38 and Dualem 1S electromagnetic induction sensors for the measurement of salinity and other soil properties[J]. Soil use and management, 2012, 28(1):108-112. doi: 10.1111/j.1475-2743.2011.00386.x URL
[8]	李海涛, 李小梅, PHILIP B, 等. 电磁感应方法在土壤盐渍化评价中的应用研究[J]. 水文地质工程地质, 2006(1):95-98.
[9]	吴亚坤, 杨劲松, 刘广明. 基于遥感与电磁感应仪数据的土壤盐分空间变异性[J]. 农业工程学报, 2009, 25(7):148-152.
[10]	夏英辉, 熊黑钢. 土壤中盐分含量对EM38大地电导仪测量精度的影响分析[J]. 干旱区资源与环境, 2013, 27(10):163-168.
[11]	李晓明, 杨劲松, 刘梅先, 等. 基于电磁感应的典型干旱区土壤盐分空间异质性[J]. 农业工程学报, 2010, 26(12):97-101.
[12]	赵军伟, 蒋平安, 盛建东, 等. EM38电磁发生仪测定结果的影响因素分析[J]. 干旱区地理, 2005, 28(3):362-366.
[13]	MODHADAS D, TAGHIZADEH-MEHRJARDI R, TRIANTAFILIS J. Probabilistic inversion of EM38 data for 3D soil mapping in central Iran[J]. Geoderma regional, 2016, 7(2):230-238. doi: 10.1016/j.geodrs.2016.04.006 URL
[14]	HUANG J, MOKHTARI A R, COHEN D R, et al. Modelling soil salinity across a gilgai landscape by inversion of EM38 and EM31 data[J]. European journal of soil science, 2015, 66(5):951-960. doi: 10.1111/ejss.12278 URL
[15]	张同娟, 杨劲松, 刘广明, 等. 基于电磁感应仪的河口地区底聚型盐分剖面特征的解译[J]. 农业工程学报, 2009, 25(11):109-113.
[16]	姚荣江, 杨劲松, 刘广明, 等. 电磁感应仪EM38用于土壤盐渍剖面分类与评价研究[J]. 中国地质灾害与防治学报, 2007, 18(4):54-59.
[17]	李兵, 刘广明, 苏里坦, 等. 基于磁感式大地电导率仪的土壤盐分解译模型[J]. 土壤, 2017, 49(4):789-794.
[18]	李洪义, 史舟, 吴次芳, 等. 基于EM38的滨海盐土剖面电导率原位测定[J]. 土壤学报, 2013, 50(6):1231-1235.
[19]	ISLAM M M, MEEERSCHMAN E, SAEY T, et al. Comparing apparent electrical conductivity measurements on a paddy field under flooded and drained conditions[J]. Precision agriculture, 2012, 13(3):384-392. doi: 10.1007/s11119-011-9253-2 URL
[20]	宋江辉, 朱永琪, 陈建华, 等. 基于电磁感应仪的土壤盐渍化剖面特征解译研究[J]. 土壤通报, 2017, 48(3):552-559.
[21]	李晓明, 杨劲松, 刘广明. 基于电磁感应的不同膜灌模式下棉田土壤盐分分布研究[J]. 中国生态农业学报, 2011, 19(2):235-239.
[22]	邓煜霖. 基于EM38-MK2干旱区薄膜覆盖棉田土壤剖面电导率解译研究[D]. 乌鲁木齐: 新疆大学, 2015.
[23]	鲍士旦. 土壤农化分析[M]. 北京: 中国农业出版社, 2000:183-210.
[24]	李淑敏, 李红, 周连第. 土壤电导率的快速测量(EM38)与数据的研究应用[J]. 安徽农业科学, 2009, 37(29):14001-14004,14015.
[25]	张同娟, 杨劲松, 刘广明. 基于EM38长江河口地区土壤盐渍化特征研究[J]. 水土保持学报, 2009, 23(6):210-214.
[26]	张为政, 殷立娟. 电磁感应电导仪(EM38)测定土壤含盐量的研究[J]. 应用生态学报, 1993, 4(3):289-294.
[27]	新疆维吾尔自治区农业厅. 新疆土壤[M]. 北京: 科学出版社,1996.
[28]	王海江. 玛纳斯河流域土壤盐渍化过程和格局特征及盐渍土改良模式探讨[D]. 北京: 中国农业大学, 2014.
[29]	姚远. 干湿季节下基于遥感和电磁感应技术的绿洲土壤盐渍化评估与尺度效应分析[D]. 乌鲁木齐: 新疆大学, 2013.
[30]	郑丽丽, 熊黑钢, 闫人华, 等. 基于逐步回归模型和EM38电磁感应分析的干旱区人工水库区域土壤盐分测定——以新疆八户地水库为例[J]. 甘肃农业大学学报, 2013, 48(3):74-81.
[31]	乔江飞. 基于EM38的盐渍化土壤剖面盐分监测研究[D]. 石河子: 石河子大学, 2016.
[32]	邓凯, 丁建丽, 杨爱霞, 等. 基于电磁感应技术的土壤剖面盐分空间分布建模研究[J]. 生态学报, 2016, 36(20):6387-6396.

土层/cm	最小值/(g/kg)	最大值/(g/kg)	均值/(g/kg)	变异系数/%	深度/cm	最小值/(g/kg)	最大值/(g/kg)	均值/(g/kg)	变异系数/%
0~10	0.02	36.73	6.41	121	0~10	0.02	36.73	6.41	121
10~20	0.05	31.04	5.72	109	0~20	0.04	28.72	6.08	111
20~30	0.08	37.57	5.68	109	0~30	0.13	31.43	5.91	107
30~40	0.08	43.62	6.19	113	0~40	0.14	34.48	6.00	106
40~50	0.08	38.66	6.21	111	0~50	0.22	35.15	5.99	105
50~60	0.00	42.50	6.66	116	0~60	0.25	38.61	6.11	104
60~70	0.01	51.20	6.55	117	0~70	0.30	38.61	6.17	105
70~80	0.00	41.95	6.53	115	0~80	0.30	39.03	6.20	106
80~90	0.02	44.74	6.65	118	0~90	0.34	39.66	6.26	106
90~100	0.02	41.34	6.68	112	0~100	0.52	39.83	6.43	104

土层/cm	最小值/(g/kg)	最大值/(g/kg)	均值/(g/kg)	变异系数/%	深度/cm	最小值/(g/kg)	最大值/(g/kg)	均值/(g/kg)	变异系数/%
0~10	0.02	36.73	6.41	121	0~10	0.02	36.73	6.41	121
10~20	0.05	31.04	5.72	109	0~20	0.04	28.72	6.08	111
20~30	0.08	37.57	5.68	109	0~30	0.13	31.43	5.91	107
30~40	0.08	43.62	6.19	113	0~40	0.14	34.48	6.00	106
40~50	0.08	38.66	6.21	111	0~50	0.22	35.15	5.99	105
50~60	0.00	42.50	6.66	116	0~60	0.25	38.61	6.11	104
60~70	0.01	51.20	6.55	117	0~70	0.30	38.61	6.17	105
70~80	0.00	41.95	6.53	115	0~80	0.30	39.03	6.20	106
80~90	0.02	44.74	6.65	118	0~90	0.34	39.66	6.26	106
90~100	0.02	41.34	6.68	112	0~100	0.52	39.83	6.43	104

深度/cm	最小值/(mS/m)		最大值/(mS/m)		平均值/(mS/m)		标准差/(mS/m)		变异系数/%
深度/cm	EMh	EMv	EMh	EMv	EMh	EMv	EMh	EMv	EMh	EMv
0~10	1.77	4.06	644.69	292.42	108.17	92.10	107.59	63.32	99	69
0~20	4.57	4.43	299.07	332.19	81.85	95.94	67.11	70.77	82	74
0~30	4.71	0.54	360.87	377.93	87.82	103.78	75.57	81.24	86	78
0~40	1.83	5.23	429.31	441.33	102.45	117.55	92.32	89.64	90	76
0~50	6.95	0.67	530.20	504.77	122.99	132.55	114.30	103.77	93	78
0~60	1.40	1.18	660.28	569.61	146.91	150.77	138.43	117.86	94	78
0~70	6.52	8.52	798.84	654.96	176.91	170.50	173.14	134.81	98	79
0~80		8.40		742.03		191.80		152.28		79
0~90		9.46		831.10		213.38		170.75		80
0~100		9.18		856.02		234.18		188.29		80

深度/cm	最小值/(mS/m)		最大值/(mS/m)		平均值/(mS/m)		标准差/(mS/m)		变异系数/%
深度/cm	EMh	EMv	EMh	EMv	EMh	EMv	EMh	EMv	EMh	EMv
0~10	1.77	4.06	644.69	292.42	108.17	92.10	107.59	63.32	99	69
0~20	4.57	4.43	299.07	332.19	81.85	95.94	67.11	70.77	82	74
0~30	4.71	0.54	360.87	377.93	87.82	103.78	75.57	81.24	86	78
0~40	1.83	5.23	429.31	441.33	102.45	117.55	92.32	89.64	90	76
0~50	6.95	0.67	530.20	504.77	122.99	132.55	114.30	103.77	93	78
0~60	1.40	1.18	660.28	569.61	146.91	150.77	138.43	117.86	94	78
0~70	6.52	8.52	798.84	654.96	176.91	170.50	173.14	134.81	98	79
0~80		8.40		742.03		191.80		152.28		79
0~90		9.46		831.10		213.38		170.75		80
0~100		9.18		856.02		234.18		188.29		80

	0~10 cm	0~20 cm	0~30 cm	0~40 cm	0~50 cm	0~60 cm	0~70 cm	0~80 cm	0~90 cm	0~100 cm
EMv	0.568^**	0.612^**	0.631^**	0.627^**	0.690^**	0.714^**	0.723^**	0.730^**	0.738^**	0.751^**
EMh	0.208^*	0.568^**	0.690^**	0.719^**	0.731^**	0.742^**	0.749^**