Time series analysis of soil moisture in sandy grassland of Horqin Sandy Land

doi:10.7522/j.issn.1000-694X.2025.00096

Journal of Desert Research ›› 2025, Vol. 45 ›› Issue (4): 67-74.DOI: 10.7522/j.issn.1000-694X.2025.00096

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Time series analysis of soil moisture in sandy grassland of Horqin Sandy Land

Shuxia Yao¹^,²(), Tonghui Zhang²(), Chuancheng Zhao¹^,²

^1.Lanzhou City University，Lanzhou 730070，China
^2.Northwest Institute of Eco-Environment and Resources，Chinese Academy of Sciences，Lanzhou 730000，China

Received:2025-05-19 Revised:2025-06-26 Online:2025-07-20 Published:2025-08-18
Contact: Tonghui Zhang

Abstract

Abstract:

The time series analysis method was adopted to study the correlation between soil moisture at different soil depths and precipitation， evaporation during the growing season from 2017 to 2019 in the sandy grassland of Horqin Sandy Land. The results show that：（1） The bulk density of the 40-100 cm soil layer is relatively small， basically below 1.53 g·cm^-3， while its organic matter content is relatively high， all above 3.3 g·kg^-1. The content of medium-coarse sand in the 0-20 cm layer is the highest， almost 50%， while the content of fine sand is the highest in the rest of the soil layers. With the increase of soil depth， the content of medium-coarse sand gradually decreases， while the content of silt-clay particles gradually increases. （2） The analysis of precipitation and evaporation in the same period shows that the precipitation in August is the highest in the three-year growing season， while the evaporation in May is the highest. Through autocorrelation analysis， it is found that the autocorrelation coefficients of precipitation and evaporation sequences are very small， indicating that the two sequences are irrelevant. （3） The statistical characteristics analysis of soil moisture shows that the soil moisture in 0-20 cm and 100-140 cm is relatively low. The standard deviation and coefficient of variation of soil moisture generally show a gradual decreasing trend with the increase of soil depth， indicating that the deep soil moisture is relatively stable. Autocorrelation analysis shows that soil moisture in different soil layers has high autocorrelation， especially below 60 cm. With the increase of lag time， the autocorrelation of soil moisture in each soil layer gradually weakens. （4） The correlation coefficient between precipitation and shallow soil （<60 cm） moisture is greater than that between precipitation and deep soil moisture. With the increase of lag time， the correlation between precipitation and soil moisture in different soil layers shows a weakening trend. The correlation between soil moisture in different soil layers and precipitation is different， indicating that the influence of precipitation on different soil layers is different in time. （5） There is a significant negative correlation between shallow soil moisture and evaporation， and with the increase of lag time， the correlation between soil moisture in each soil layer and evaporation becomes more complex.

Key words: soil moisture, time series analysis, sandy grassland, Horqin Sandy Land

CLC Number:

S152.75

Shuxia Yao, Tonghui Zhang, Chuancheng Zhao. Time series analysis of soil moisture in sandy grassland of Horqin Sandy Land[J]. Journal of Desert Research, 2025, 45(4): 67-74.

Figures/Tables 8

References 34

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土层深度/cm	容重/（g·cm^-3）	有机质含量/（g·kg^-1）	土壤粒级分布/%
土层深度/cm	容重/（g·cm^-3）	有机质含量/（g·kg^-1）	2~0.1 mm	0.1~0.05 mm	<0.05 mm
0~20	1.61	3.19	49.13	35.14	14.21
20~40	1.58	2.73	30.35	49.13	18.69
40~60	1.53	3.41	20.19	45.10	32.97
60~80	1.51	3.30	13.98	40.81	43.32
80~100	1.53	3.41	7.98	48.08	42.53
100~120	1.55	3.25	6.35	48.69	43.26
120~140	1.56	3.12	5.54	48.15	44.57

土层深度/cm	容重/（g·cm^-3）	有机质含量/（g·kg^-1）	土壤粒级分布/%
土层深度/cm	容重/（g·cm^-3）	有机质含量/（g·kg^-1）	2~0.1 mm	0.1~0.05 mm	<0.05 mm
0~20	1.61	3.19	49.13	35.14	14.21
20~40	1.58	2.73	30.35	49.13	18.69
40~60	1.53	3.41	20.19	45.10	32.97
60~80	1.51	3.30	13.98	40.81	43.32
80~100	1.53	3.41	7.98	48.08	42.53
100~120	1.55	3.25	6.35	48.69	43.26
120~140	1.56	3.12	5.54	48.15	44.57

土层深度 /cm	统计指标(n=45)
土层深度 /cm	最小值	最大值	平均值	标准差	变异系数
0~20	1.17	19.19	6.44	4.74	0.74
20~40	3.52	20.32	8.98	4.99	0.56
40~60	4.34	24.10	11.03	4.87	0.44
60~80	6.05	21.87	10.88	4.35	0.40
80~100	5.41	18.92	9.22	3.47	0.38
100~120	5.00	13.31	7.50	2.19	0.29
120~140	5.90	12.97	7.51	1.90	0.25

土层深度 /cm	统计指标(n=45)
土层深度 /cm	最小值	最大值	平均值	标准差	变异系数
0~20	1.17	19.19	6.44	4.74	0.74
20~40	3.52	20.32	8.98	4.99	0.56
40~60	4.34	24.10	11.03	4.87	0.44
60~80	6.05	21.87	10.88	4.35	0.40
80~100	5.41	18.92	9.22	3.47	0.38
100~120	5.00	13.31	7.50	2.19	0.29
120~140	5.90	12.97	7.51	1.90	0.25

滞后时距（10 d）	土层深度/cm
滞后时距（10 d）	0~20	20~40	40~60	60~80	80~100	100~120	120~140
k=1	-0.128	-0.213^*	-0.104	0.263^*	0.396^*	0.244^*	0.351^*
k=2	-0.243^*	-0.156	-0.177	0.166	0.127	0.148	0.049
k=3	-0.044	-0.147	-0.108	-0.223^*	-0.224^*	-0.158	-0.105
k=4	-0.067	0.036	0.064	-0.225^*	-0.210^*	-0.109	-0.176
k=5	-0.034	-0.089	-0.011	-0.194	-0.158	-0.090	-0.125
k=6	0.059	0.015	-0.058	-0.139	-0.142	-0.098	-0.143

Time series analysis of soil moisture in sandy grassland of Horqin Sandy Land

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Figures/Tables 8

References 34

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气象因子	滞后时距（10 d）
气象因子	k=1	k=2	k=3	k=4	k=5	k=6
降水量/mm	-0.143	-0.113	-0.195	0.169	0.164	-0.029
蒸发量/mm	-0.109	-0.114	-0.119	0.024	0.196	-0.031

滞后时距（10 d）	土层深度/cm
滞后时距（10 d）	0~20	20~40	40~60	60~80	80~100	100~120	120~140
k=0	0.643^**	0.603^**	0.530^**	0.131	0.103	0.102	0.103
k=1	0.224^*	0.320^*	0.273^*	0.113	0.147	-0.184	-0.122
k=2	-0.208^*	-0.231^*	-0.207^*	0.034	0.044	0.090	0.016
k=3	-0.095	-0.175	-0.120	-0.182	-0.151	0.004	0.073
k=4	0.040	0.107	0.091	0.106	0.010	-0.133	-0.079
k=5	0.094	0.108	0.100	0.101	0.019	0.084	0.029

滞后时距（10 d ）	土层深度/cm
滞后时距（10 d ）	0~20	20~40	40~60	60~80	80~100	100~120	120~140
k=0	-0.300^*	-0.255^*	-0.229^*	-0.154	0.005	0.150	0.130
k=1	-0.292^*	0.120	0.062	0.278^*	0.109	0.066	0.092
k=2	0.286^*	0.241^*	0.148	0.057	0.157	0.039	0.062
k=3	0.092	-0.096	-0.031	0.011	0.140	0.124	-0.023
k=4	0.183	-0.191	-0.137	-0.137	-0.109	0.064	-0.009
k=5	-0.146	-0.013	-0.064	-0.158	-0.128	-0.105	-0.038

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