[1]Zhang Yajie,Yu Li,Cao Yanping,et al.Spatial distribution of soil cation exchange capacity and its influencing factors in small watersheds of typical industrial and mining area[J].Research of Soil and Water Conservation,2025,32(04):100-109.[doi:10.13869/j.cnki.rswc.2025.04.045]
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
32
Number of periods:
2025 04
Page number:
100-109
Column:
Public date:
2025-07-10
- Title:
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Spatial distribution of soil cation exchange capacity and its influencing factors in small watersheds of typical industrial and mining area
- Author(s):
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Zhang Yajie1,Yu Li1,2,Cao Yanping3,4,Ma Quanlai1,2,Feng Zhaohui5
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1.The First Institute of Resources and Environment Investigation of Henan Province, Zhengzhou 450007, China;2.Science and Technology Innovation Centre of Nature Resources of Henan Provinces(Evaluation Monitoring and Early Warning of Resource Environmental Bearing Capacity), Zhengzhou 450007, China;3.College of Geography and Environmental Science, Henan University, Kaifeng, Henan 470054, China ;4.Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions......
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- Keywords:
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soil; cation exchange capacity; spatial distribution; influencing factors; typical industrial and mining areas
- CLC:
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S153;X82
- DOI:
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10.13869/j.cnki.rswc.2025.04.045
- Abstract:
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[Objective] This paper aims to explore the spatial distribution characteristics of soil cation exchange capacity(CEC) and its primary influencing factors in small watersheds of typical area in the southern Taihang Mountains, and to enhance the efficiency of soil fertility cultivation and environmental quality assessment. [Methods] Based on classical statistics, geostatistics, geodetectors, and other models, the current characteristics, differentiation patterns, and influencing factors of soil CEC in the surface layer(0—20 cm) of the Mang River small watershed were studied. [Results](1) The soil CEC in the Mang River small watershed ranged from 8.23 to 30.28 cmol/kg, with an average of 16.20 cmol/kg, indicating a relatively high level and strong soil fertility retention capacity. The spatial variability was moderate.(2) The spatial distribution of soil CEC was primarily influenced by structural factors such as topography and landforms. When the distance was less than 3 130 m, its distribution showed continuity with spatial autocorrelation. Significant variations in soil CEC were observed in different directions, with more pronounced spatial variability along the east-west(90°) and northeast-southwest(45°) directions.(3) The spatial interpolation based on empirical Bayesian kriging achieved higher accuracy, which could better reflect the spatial distribution characteristics of soil CEC in the study area. The soil CEC showed a zonal decreasing trend from southwest to northeast, with high values in the low mountain and hilly areas of the southwest and low values in the piedmont plain and central plain areas of the northeast. The spatial distribution was consistent with the regional topography and landforms.(4) Structural factors such as slope and aspect exhibited the strongest explanatory power for the spatial distribution differences of soil CEC within the watershed. Additionally, the distribution of industrial and mining enterprises, land use, and atmospheric deposition had a significant impact on the spatial distribution of soil CEC. [Conclusion] Soil CEC is a key indicator for improving soil environmental quality and pollution assessment. Strengthening research on the spatial differentiation patterns and influencing factors of soil CEC in the study area can provide theoretical basis and technical support for regional soil environmental protection and heavy metal pollution remediation.