PDF Download

[1]YANG Chenconghai,CHEN Zhiqiang.Preliminary Study on Approximate Calculation of Erodibility of Red Soil in Hilly Tea Garden of Wuyi Mountains[J].Research of Soil and Water Conservation,2022,29(01):21-27.

Copy

Preliminary Study on Approximate Calculation of Erodibility of Red Soil in Hilly Tea Garden of Wuyi Mountains

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 29 Number of periods: 2022 01 Page number: 21-27 Column: Public date: 2022-02-20

Title:: Preliminary Study on Approximate Calculation of Erodibility of Red Soil in Hilly Tea Garden of Wuyi Mountains

Author(s):: YANG Chenconghai, CHEN Zhiqiang; (School of Geography Fujian Normal University, Fuzhou 350107, China)

Keywords:: soil erosion; K value of soil erodibility; least square method; tea garden soil; Wuyishan City

CLC:: S157.9

DOI:: -

Abstract:: Soil erodibility is an internal dynamic factor of soil erosion, which reflects the sensitivity of soil to external forces. However, the quantitative calculation of soil erodibility generally has the problems on complex parameters and complicated calculation process. In order to find a way to approximately calculate K value and let it convenient to calculate, the mechanical composition and organic matter of 32 groups of tea garden red soils in hilly area of Wuyishan City were determined by settlement method and Tyurin's method, respectively. The differences of soil mechanical composition between M layer(cultivated layer)and N layer(non cultivated layer)were compared. The K value of red soil in tea garden was calculated by EPIC equation and the variation pattern was analyzed. The approximate equation between single particle size data and K value was established and optimized. The results showed that:(1)the red soil in hilly tea garden was mainly composed of sand and clay, the pH value of M layer was lower, and the K value of N layer was higher than that of M layer, so N layer was easier to be eroded;(2)there was a strong negative correlation between sand content and K value, a strong positive correlation between contents of silt and clay and K value, and a weak correlation between organic carbon content and K value;(3)through linear, power function and quadratic polynomial fitting, the approximation equation of sand, silt and K value could be established with good fitting effect, quadratic polynomial had the better fitting effect for sand, power function had the better fitting effect for silt, and the poor fitting effect for clay particle. The fitting error could be reduced by combining the two equations, giving weight with multiple linear regression analysis, and iteratively correcting the mean absolute deviation.

References:: [1] 史德明.如何正确理解有关水土保持术语的讨论[J].土壤侵蚀与水土保持学报,1998,4(4):3-5.
[2] 赵明松,李德成,张甘霖.1980—2010年安徽省土壤侵蚀动态演变及预测[J].土壤,2016,48(3):588-596.
[3] 张永勤.武夷山山地土壤可蚀性K值的垂直分异及成因分析[J].亚热带水土保持,2012,24(3):19-22.
[4] 梁音,史学正.长江以南东部丘陵山区土壤可蚀性K值研究[J].水土保持研究,1999,6(2):3-5.
[5] 张科利,蔡永明,刘宝元,等.黄土高原地区土壤可蚀性及其应用研究[J].生态学报,2001,21(10):1687-1695.
[6] Bouyoucos G J. The clay ratio as a criterion of susceptibility of soils to erosion[J]. Journal of American Society of Agronomy, 1935,27(9):738-741.
[7] Middleton H E. Properties of soils which influence soil erosion[J]. Usdsa. Technical Bulletin, 1930,178(16): 119-121.
[8] Wischmeier W H, Mannering J V. Relation of soil properties to its erodibility[J]. Soil Society of American Proceeding, 1969,33(1):131-137.
[9] 魏慧,赵文武,王晶.土壤可蚀性研究述评[J].应用生态学报,2017,28(8):2749-2759.
[10] Williams J R, Renard K G, Dyke P T. EPIC: A newmethod for assessingerosion's effect on soil productivity[J]. Journal of Soil and Water Conservation, 1983,38(5):381-383.
[11] Kiani F, Ghezelseflo A. Evaluation of soil erodibility factor(k)for loess derived landforms of Kechik watershed in Golestan Province, North of Iran[J]. Journal of Mountain Science,2016,13(011):2028-2035.
[12] Saygn S, Basaran M, Ozcan A, et al. Land degradation assessment by geo-spatially modeling different soil erodibility equations in a semi-arid catchment[J]. Environmental Monitoring and Assessment,2011,180(2):201-215.
[13] 杨玉盛,何宗明,陈光水,等.不同生物治理措施对赤红壤抗蚀性影响的研究[J].土壤学报,1999,36(04):528-535.
[14] 朱显谟.黄土区的土壤分布规律[J].科学通报,1957,8(15):477-478.
[15] 中国科学院南京土壤研究所土壤物理研究室.土壤物理性质测定法[M].北京:科学出版社,1978.
[16] 陈健飞.武夷山土壤分类参比[J].土壤,1999,42(3):3-5.
[17] 叶宏萌,李国平,郑茂钟,等.武夷山茶园土壤汞、镉和砷形态及茶叶有效性特征[J].热带作物学报,2016,37(11):2094-2099.
[18] 朱平.我国茶叶出口贸易现状及策略研究[J].福建茶叶,2020,42(9):50-51.
[19] 尧水根.中国十大名茶渊源考略[J].农业考古,2011,31(5):306-311,320.
[20] 龚溪.基于土地利用变化情景的武夷山市生态系统服务评估[D].南京:南京信息工程大学,2017.
[21] 朱鹤健.福建土壤与土地资源研究[M].北京:农业出版社,1994:36-43.

Similar References:

Memo

Last Update: 2022-02-20