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Soil erodibility K values and its distribution in Anhui province |
WANG Bangwen |
Anhui and Huaihe River Institute of Hydraulic Research, Anhui Province Key Laboratory of Water Conservancy and Water Resources, 230088, Hefei, China |
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Abstract [Background] Soil erosion is the concentrated embodiment of environmental problems in China. Erosion intensity is affected by external factors, such as rainfall, topography and vegetation, and also depends on soil anti-erosion ability. Soil erodibility is a main index of soil erosion resistance. And it is also the basic data for soil erosion prediction. The veracity of soil erodibility value directly affects soil erosion prediction accuracy. The vegetation of Anhui province was fatal damaged and the soil loss on the surface was severe in 1950s and 1960s. At present, although natural secondary forest has been restored in a large range, 12 400 km2 of soil erosion area still exists, especially for sloping farmland, economic woodland and sparse woodland due to heavy rainfall, complex topography, and frequent human activities. Therefore, in order to protect soil resources and achieve sustainable development of the area, the soil erodibility of the region needs to be studied.[Methods] This study analyzed the soil erodibility and its distribution using universal soil loss equation, EPIC model, soil texture transformation method, and ArcGIS software. Data of precipitation, soil erosion and soil properties were collected from 4 experimental stations of soil and water conservation in Anhui province. Data of 48 typical profiles for Anhui province were collected from "soil distribution of Anhui province" and "Chinese soil record" books. The soil samples were collected on sunny days. Fifteen soil cores were collected using "S" road from the topsoil (0-20 cm) of each plot and were mixed completely to produce a composite sample for each plot. Plant roots and large stones were removed by sieving through a 2 mm mesh, and all soil samples were then stored at 4℃ until analyses of soil texture and chemical properties.[Results] There were 10 main soil types covering 92.3% of the total area in Anhui province. Main soil types in the erosional region were red soil, skeleton soil, yellow cinnamon soil, yellow brown soil, yellow soil and purple soil, which covered 44.9% of the total area in the province. There was a fine linear relationship between the measured values and estimated values of the EPIC model for the soil erodibility. The built linear equation thus revised the estimated values of EPIC model. The fractal model which was well verified transformed the soil texture composition from international system to American system for Anhui provincial soils. The erodibility value was 0.020-0.050 t·hm2·h/(MJ·mm·hm2) in the soil and water loss region, and the provincial average K value was 0.036 6 t·hm2·h/(MJ·mm·hm2).[Conclusions] The results provide basic data and technical support for the soil erosion prediction, which is of great significance to the protection of land resources and the ecological construction of soil and water conservation in the region.
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Received: 22 August 2018
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[1] |
李锐. 中国水土流失基础研究的机遇与挑战[J]. 自然杂志, 2008, 30(1):6. LI Rui. Opportunities and challenges of basic research on soil and water loss in China[J]. Chinese Journal of Nature, 2008, 2008, 30(1):6.
|
[2] |
杨文利, 赵建民, 朱平宗, 等. 南方红壤区涟水河流域降雨侵蚀力时空特征[J]. 中国水土保持科学, 2018, 16(3):18. YANG Wenli, ZHAO Jianmin, ZHU Pingzong, et al. Temporal and spatial distribution characteristics of rainfall erosivity of the Lianshui basin in the red soil region of South China[J]. Science of Soil and Water Conservation, 2018, 16(3):18.
|
[3] |
雷章, 岳德鹏, YANG Di, 等. 基于Hadoop的区域土壤侵蚀强度计算GIS设计与实验[J]. 农业机械学报, 2018, http://kns.cnki.net/kcms/detail/11.1964.s.20180612.0956.016.html. LEI Zhang, YUE Depeng, YANG Di, et al. GIS design and experiment of soil erosion intensity calculating based on hadoop[J]. Transactions of the CSAM, http://kns.cnki.net/kcms/detail/11.1964.s.20180612.0956.016.html.
|
[4] |
HOU Jian, WANG Huiqing, FU Bojie, et al. Effects of plant diversity on soil erosion for different vegetation patterns[J]. Catena, 2016(12), 147:632.
|
[5] |
KNAPEN A, POESEN J, GOVERS G, et al. Resistance of soils to concentrated flow erosion:A review[J]. EarthScience Reviews, 2007, 80:75.
|
[6] |
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. WEI Hui, ZHAO Wenwu, WANG Jing. Research progress on soil erodibility[J]. Chinese Journal of Applied Ecology, 2017, 28(8):2749.
|
[7] |
ZHANG Keli, SHU Anping, XU Xianli, et al. Soil erodibility and its estimation for agricultural soils in China[J]. Journal of Arid Environments, 2008, 72(6):1002.
|
[8] |
王彬, 郑粉莉, 王玉玺. 东北典型薄层黑土区土壤可蚀性模型适用性分析[J]. 农业工程学报, 2012, 28(6):126. WANG Bin, ZHENG Fenli, WANG Yuxi. Adaptability analysis on soil erodibility models in typical thin layer black soil area of Northeast China[J]. Transactions of the CSAE, 2012, 28(6):126.
|
[9] |
ZHOU Zhengchao, GAN Zhuoting, SHANGGUAN Zhouping, et al. Effects of grazing on soil physical properties and soil erodibility in semiarid grassland of thenorthern Loess Plateau (China)[J]. Catena, 2010, 82(2):87.
|
[10] |
WANG Hao, ZHANG Guanghui, LI Ningning, et al. Soil erodibility influenced by natural restoration time of abandoned farmland on the Loess Plateau of China[J]. Geoderma, 2018, 325(9):18.
|
[11] |
NZEYIMANA I, HARTEMINK A E, RITSEMA C, et al. Mulching as a strategy to improve soil properties and reduce soil erodibility in coffee farming systems of Rwanda[J]. Catena, 2017(3):149:43.
|
[12] |
张科利, 蔡永明, 刘宝元. 土壤可蚀性动态变化规律研究[J]. 地理学报, 2001, 56(6):673. ZHANG Keli, CAI Yongming, LIU Baoyuan. Fluctuation of soil erodibility due to rainfall intensity[J]. Acta Geographica Sinica, 2001, 56(6):673.
|
[13] |
顾也萍, 王长荣. 新构造运动对安徽土壤分布的影响[J]. 长江流域资源与环境, 1998, 7(1):25. GU Yeping, WANG Changrong. Effects of neotectonic movement on soil development and distribution in Anhui province[J]. Resources and Environment in the Yangtze Basin, 1998, 7(1):25.
|
[14] |
余芬, 程先富, 赵明松. 安徽省土壤侵蚀敏感性评价研究[J]. 人民长江, 2009, 40(9):32. YU Fen, CHENG Xianfu, ZHAO Mingsong. Evaluation of soil erosion sensitivity in Anhui province[J]. Yangtze River, 2009, 40(9):32.
|
[15] |
刘宝元, 谢云, 张科利. 土壤侵蚀预报模型[M]. 北京:中国科学技术出版社, 2001:101. LIU Baoyuan, XIE Yun, ZHANG Keli. Soil erosion prediction model[M]. Beijing:China Science and Technology Press, 2001:101.
|
[16] |
WISCHMEIER W H, SMITH D D. Predicting rainfall erosion losses:A guide to conservation planning, Agriculture Handbook No. 537[M]. Washington DC:USDA, 1978:17.
|
[17] |
WILLIAMS J R, RENARD K G, DYKE P T. EPIC-a new method for assessing erosion's effect on soil productivity[J]. Journal of Soil and Water Conservation, 1983, 38(6):381.
|
[18] |
郭中领, 张科利, 董建志, 等利用分形理论解决不同土粒分级标准间土壤质地资料的转换问题[J]. 地理科学, 2011, 31(10):1254. GUO Zhongling, ZHANG Keli, DONG Jianzhi, et al. Conversion of different soil texture triangle based on fractal theory[J]. Scientia Geographica Sinica, 2011, 31(10):1254.
|
[19] |
史学正, 于东升. 用田间实测法研究我国亚热带土壤的可蚀性K值[J]. 土壤学报, 1997, 34(4):399. SHI Xuezheng, YU Dongsheng. Soil erodibility factor K as studied using field plots in subtropical China[J]. Acta Pedologica Sinica, 1997, 34(4):399.
|
[20] |
郑海金, 杨洁, 喻荣岗, 等. 红壤坡地土壤可蚀性K值研究[J]. 土壤通报, 2010, 41(2):425. ZHENG Haijing, YANG Jie, YU Ronggang, et al. Study on soil erodibility factor K on red-soil sloping land[J]. Chinese Journal of Soil Science, 2010, 41(2):425.
|
[21] |
詹其厚, 袁朝良, 张效朴. 有机物料对砂姜黑土的改良效应及其机制[J]. 土壤学报, 2003, 40(3):420. ZHAN Qihou, YUAN Chaoliang, ZHANG Xiaopu. Ameliorative effect and mechanism of organic materials on vertisol[J]. Acta Pedologica Sinica, 2003, 40(3):420.
|
[22] |
周晓阳, 周世伟, 徐明岗, 等. 中国南方水稻土酸化演变特征及影响因素[J]. 中国农业科学, 2015, 48(23):4811. ZHOU Xiaoyang, ZHOU Shiwei, XU Minggang, et al. Evolution characteristics and influence factors of acidification in paddy soil of southern China[J]. Scientia Agricultura Sinica, 2015, 48(23):4811.
|
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