Similarity of the temporal pattern of soil moisture across soil profile in karst catchments of southwestern China
Similarity of the temporal pattern of soil moisture across soil profile in karst catchments of southwestern China
复制标题
中国西南喀斯特流域土壤水分跨剖面土壤水分时间格局的相似性
DOI:
10.1016/j.jhydrol.2017.10.045
复制
发表时间:
2017-12
影响因子:
6.4
通讯作者:
Wang Kelin
中科院分区:
文献类型:
--
作者:
Li Xuezhang;Xu Xianli;Liu Wen;He Liang;Zhang Rongfei;Xu Chaohao;Wang Kelin
Knowledge of dynamics of profile soil moisture is of importance for soil moisture prediction and modeling. However, information on the relationships between soil moisture at the surface and subsurface layers is relatively inadequate. The objective of this study was to examine the similarities in the overall and scale specific temporal patterns of soil moisture across soil profile. Soil moisture was measured at five soil depths using time-domain reflectometry in two sampling plots over 242 days in a karst depression. Spearman rank correlation and wavelet coherency analyzes were used to determine overall and scale-dependent similarities of temporal patterns of soil moisture, respectively. Results showed that soil moisture in farmland was higher than grassland especially in 10–50 cm depths. The surface depth had higher variability for both farmland and grassland. Spearman rank correlation coefficients between any two soil depths were significant, indicating strong depth persistence in the overall temporal pattern of soil moisture. The similarity decreased as the distance between depths increased. Wavelet coherency analysis indicated that soil moisture temporal pattern had a higher depth persistence in the farmland than grassland. Soil depth had a larger influence than land uses on the similarity in soil moisture temporal pattern, and the relative humidity and precipitation had larger effect than air temperature controlling the change of soil moisture at larger scales. These scale specific similarity in the temporal pattern of soil moisture can be used to guide estimating deeper soil moisture and to improve sampling strategies for soil moisture prediction with a higher prediction accuracy.
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影响因子:
2.4
作者:
Qiaosheng Shu;Zuo-xin Liu;B. Si
通讯作者:
Qiaosheng Shu;Zuo-xin Liu;B. Si
影响因子:
6.4
作者:
Liu, Bingxia;Shao, Ming'an
通讯作者:
Shao, Ming'an
影响因子:
6.4
作者:
Xinguang He;Huade Guan;Jianxin Qin
通讯作者:
Jianxin Qin
影响因子:
2.9
作者:
B. Si;R. Farrell
通讯作者:
B. Si;R. Farrell
影响因子:
2.9
作者:
T. Zeleke;B. Si
通讯作者:
T. Zeleke;B. Si