TY - JOUR
T1 - Spatial heterogeneity of lake sediment hydraulic conductivity, hydrological connectivity and causes analysis under the influence of sand mining activities
T2 - In-situ tests in a typical large sand mining lake (Poyang lake)
AU - Liu, Zejun
AU - Wang, Xihua
AU - Xu, Y. Jun
AU - Jia, Shunqing
AU - Mao, Boyang
AU - Luo, Chengming
AU - Ji, Xuming
AU - Lv, Qinya
N1 - Publisher Copyright:
© 2024
PY - 2025/9
Y1 - 2025/9
N2 - Sand mining engineering will change the saturated hydraulic conductivity (K) of sediments, which is an important parameter determining the connectivity of surface water-sediment-aquifer system and the stability of shoreline. However, the research about K and hydrological connectivity of lake sediment under the influence of sand mining activities is still limited. In this study, 90 standpipe tests were conducted in the global largest sand mining lake (Poyang Lake) to measure K of lakebed sediment in different directions. Geostatistics, connectivity index and remote sensing were used to analysis the spatial heterogeneity of K, hydrological connectivity and sand mining effect on K. Results showed that the spatial variability of K was strong in Poyang Lake. Kv, Ks, Kh varied from 1.85 × 10−6 to 9.43 × 10−2 cm/s, 3.63 × 10−6 to 9.95 × 10−2 cm/s, 1.29 × 10−6 to 5.16 × 10−2 cm/s. Gaussian model of Kv, Ks and Kh fitted the experimental variogram best. Poyang Lake sediments were composed of silt, silty loam, sandy loam and loamy sand. Hydrological connectivity index varied from −29 to 35 among the test points. d20 and d50 had the strongest correlation with K. Power function model was the best fitting model of K and characteristic grain size. Large-scale sand mining engineering affected the heterogeneity of K and hydrological connectivity by changing sediment grain composition, geomorphic type, groundwater depth and hydrodynamic conditions. The results provide important references for lake sediment permeability researching, sand mining engineering management and slope instability prevention in similar large sand mining lakes.
AB - Sand mining engineering will change the saturated hydraulic conductivity (K) of sediments, which is an important parameter determining the connectivity of surface water-sediment-aquifer system and the stability of shoreline. However, the research about K and hydrological connectivity of lake sediment under the influence of sand mining activities is still limited. In this study, 90 standpipe tests were conducted in the global largest sand mining lake (Poyang Lake) to measure K of lakebed sediment in different directions. Geostatistics, connectivity index and remote sensing were used to analysis the spatial heterogeneity of K, hydrological connectivity and sand mining effect on K. Results showed that the spatial variability of K was strong in Poyang Lake. Kv, Ks, Kh varied from 1.85 × 10−6 to 9.43 × 10−2 cm/s, 3.63 × 10−6 to 9.95 × 10−2 cm/s, 1.29 × 10−6 to 5.16 × 10−2 cm/s. Gaussian model of Kv, Ks and Kh fitted the experimental variogram best. Poyang Lake sediments were composed of silt, silty loam, sandy loam and loamy sand. Hydrological connectivity index varied from −29 to 35 among the test points. d20 and d50 had the strongest correlation with K. Power function model was the best fitting model of K and characteristic grain size. Large-scale sand mining engineering affected the heterogeneity of K and hydrological connectivity by changing sediment grain composition, geomorphic type, groundwater depth and hydrodynamic conditions. The results provide important references for lake sediment permeability researching, sand mining engineering management and slope instability prevention in similar large sand mining lakes.
KW - Hydrological connectivity
KW - Poyang Lake
KW - Sand mining lake
KW - Saturated hydraulic conductivity
KW - Soil grain size
KW - Spatial variability
UR - https://www.scopus.com/pages/publications/105010077282
U2 - 10.1016/j.jconhyd.2025.104671
DO - 10.1016/j.jconhyd.2025.104671
M3 - 文章
C2 - 40645064
AN - SCOPUS:105010077282
SN - 0169-7722
VL - 274
JO - Journal of Contaminant Hydrology
JF - Journal of Contaminant Hydrology
M1 - 104671
ER -