A simple method for estimating runoff sediment concentration

Wen Wenjie; Zhang Jianjun; Li Yixuan; Huang Xiaoqing; He Pei

doi:10.13332/j.1000-1522.20180246

Journal of Beijing Forestry University > 2019 > 41(11): 155-162. > DOI: 10.13332/j.1000-1522.20180246

Wen Wenjie, Zhang Jianjun, Li Yixuan, Huang Xiaoqing, He Pei. A simple method for estimating runoff sediment concentration[J]. Journal of Beijing Forestry University, 2019, 41(11): 155-162. DOI: 10.13332/j.1000-1522.20180246

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A simple method for estimating runoff sediment concentration

School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China

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Received Date: July 23, 2018
Revised Date: November 13, 2018
Available Online: October 15, 2019
Published Date: October 31, 2019

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Abstract

Abstract

ObjectiveRunoff sediment concentration is an important variable in monitoring hydrological processes and quantifying soil erosion. Methodological improvements in measuring sediment concentration are critical to the automatic, efficient and accurate estimation of soil losses, and could also guide soil and water conservation practices.
MethodWe collected and analyzed soil samples from different provinces in China, and developed a weighing-based empirical model for estimating sediment concentration. We also investigated factors（specific gravity of sediment, volume of sample, water temperature）which may influence the accuracy of the method.
ResultThe results showed that measured data agreed well with true values, and the method for estimating sediment concentration was accurate enough for practical use. When the sediment concentration was between 5 g/L and 20 g/L, the average relative error is less than 20%; when the sediment concentration was between 20 g/L and 200 g/L, the average relative error is less than 5%. Both specific gravity of sediment and temperature (P > 0.05) had no significant effect on the accuracy of the method, it is therefore reasonable to use the average specific gravity of the top-layer soil in the calculations, and the range of variation was between 2.50 and 2.70. However, the accuracy was significantly influenced by the measurement of the sample’s volume, how to accurately measure the volume of sample is the key to invent automatic monitoring machine for estimating sediment concentration in surface runoff.
ConclusionThe weighing method has simple operation and high accuracy. It has a good application prospect in the study of inventing automatic monitoring machine for estimating sediment concentration in surface runoff.
- runoff sediment concentration,
- weighing method,
- specific gravity of sediment,
- volume of muddy water sample,
- soil erosion

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References

[1]	邵学军, 王兴奎. 河流动力学概论[M]. 北京: 清华大学出版社, 2013. Shao X J, Wang X K. Introduction to river mechanics[M]. Beijing: Tsinghua University Press, 2013.
[2]	高佩玲, 雷廷武, 赵军, 等. 坡面侵蚀中径流含沙量测量方法研究与展望[J]. 泥沙研究, 2004(5):28−33. doi: 10.3321/j.issn:0468-155X.2004.05.005 Gao P L, Lei T W, Zhao J, et al. Evaluating the measuring methods to sediment concentration in the runoff of slope erosion[J]. Journal of Sediment Research, 2004(5): 28−33. doi: 10.3321/j.issn:0468-155X.2004.05.005
[3]	雷廷武, 张宜清, 赵军, 等. 近红外反射高含量泥沙传感器研制[J]. 农业工程学报, 2013, 29(7):51−57. Lei T W, Zhang Y Q, Zhao J, et al. Study on near infrared reflectance sensor for high sediment concentration measurement[J]. Transactions of the Chinese Society of Agricultural Engineering, 2013, 29(7): 51−57.
[4]	李德贵, 罗珺, 陈莉红, 等. 河流含沙量在线测验技术对比研究[J]. 人民黄河, 2014, 36(10):16−19. doi: 10.3969/j.issn.1000-1379.2014.10.005 Li D G, Luo Q, Chen L H, et al. A comparative study of online monitoring technology on river sediment content[J]. Yellow River, 2014, 36(10): 16−19. doi: 10.3969/j.issn.1000-1379.2014.10.005
[5]	王智进, 宋海松. 河流泥沙测验仪器的研究[J]. 水文, 2005, 25(3):38−41. doi: 10.3969/j.issn.1674-9405.2005.03.009 Wang Z J, Song H S. A study of monitoring machine on river sediment[J]. Hydrology, 2005, 25(3): 38−41. doi: 10.3969/j.issn.1674-9405.2005.03.009
[6]	王智进, 宋海松, 刘文. 振动式悬移质测沙仪的原理与应用[J]. 人民黄河, 2004, 26(4):19−20. doi: 10.3969/j.issn.1000-1379.2004.04.009 Wang Z J, Song H S. Liu W. The principle and application of vibrating monitoring machine on suspendid sediment content[J]. Yellow River, 2004, 26(4): 19−20. doi: 10.3969/j.issn.1000-1379.2004.04.009
[7]	张叔英, 钱炳兴. 高浓度悬浮泥沙的声学观测[J]. 海洋学报(中文版), 2003, 25(6):54−60. doi: 10.3321/j.issn:0253-4193.2003.06.007 Zhang S Y, Qian B X. Acoustic observation of thick suspended-sediments[J]. Acta Oceanologica Sinica (Chinses Edition), 2003, 25(6): 54−60. doi: 10.3321/j.issn:0253-4193.2003.06.007
[8]	赵昕, 田岳明, 徐汉光, 等. 激光类测沙仪在长江泥沙测验中的应用[J]. 水文, 2011, 31(增刊1):117−120. Zhao X, Tian Y M, Xu H G, et al. Application of laser sediment measuring equipment in Yangtze River Basin[J]. Journal of China Hydrology, 2011, 31(Suppl.1): 117−120.
[9]	雷廷武, 赵军, 袁建平, 等. 利用γ射线透射法测量径流含沙量及算法[J]. 农业工程学报, 2002, 18(1):18−21. doi: 10.3321/j.issn:1002-6819.2002.01.005 Lei T W, Zhao J, Yuan J P, et al. Determining sediment concentration in runoff flow with γ ray attenuation and the related theoretical algorithm[J]. Transactions of the Chinese Society of Agricultural Engineering, 2002, 18(1): 18−21. doi: 10.3321/j.issn:1002-6819.2002.01.005
[10]	李小昱, 雷廷武, 王为. 电容式传感器测量水流泥沙含量的研究[J]. 土壤学报, 2002, 39(3):429−435. doi: 10.3321/j.issn:0564-3929.2002.03.019 Li X Y, Lei T W, Wang W. A study of capacitance sensor on measuring sediment content[J]. Acta Pedologica Sinica, 2002, 39(3): 429−435. doi: 10.3321/j.issn:0564-3929.2002.03.019
[11]	沈逸, 李小昱, 雷廷武, 等. 电容式水流泥沙含量传感器数据融合的研究[J]. 华中农业大学学报, 2004, 23(4):459−462. doi: 10.3321/j.issn:1000-2421.2004.04.018 Shen Y, Li X Y, Lei T W, et al. Data fusion of capacitance sensor of sediment concentration in water current[J]. Journal of Huazhong Agricultural University, 2004, 23(4): 459−462. doi: 10.3321/j.issn:1000-2421.2004.04.018
[12]	刘明堂, 张成才, 田壮壮, 等. 基于RBF神经网络的黄河含沙量测量数据融合研究[J]. 水利水电技术, 2015, 46(1):126−130. doi: 10.3969/j.issn.1000-0860.2015.01.029 Liu M T, Zhang C C, Tian Z Z, et al. RBF neural networks based-study on data fusion for measurement of sediment concentration of Yellow River[J]. Water Resources and Hydropower Engineering, 2015, 46(1): 126−130. doi: 10.3969/j.issn.1000-0860.2015.01.029
[13]	薛元忠, 何青, 王元叶. OBS浊度计测量泥沙浓度的方法与实践研究[J]. 泥沙研究, 2004(4):56−60. doi: 10.3321/j.issn:0468-155X.2004.04.010 Xue Y Z, He Q, Wang Y Y. The method and application of OBS in the measurement of sediment concentration[J]. Journal of Sediment Research, 2004(4): 56−60. doi: 10.3321/j.issn:0468-155X.2004.04.010
[14]	邓才, 竺红阳. OBS-3A浊度仪在含沙量测验中的应用分析[J]. 水利水电快报, 2016, 37(7):4−7. doi: 10.3969/j.issn.1006-0081.2016.07.002 Deng C, Zhu H Y. Application analysis of OBS-3A in sediment concentration test[J]. Express Water Resources, 2016, 37(7): 4−7. doi: 10.3969/j.issn.1006-0081.2016.07.002
[15]	程冬兵, 张平仓, 张长伟, 等. 泥沙含量简易测算方法的探讨[J]. 水土保持学报, 2014, 28(1):193−197. doi: 10.3969/j.issn.1009-2242.2014.01.037 Cheng D B, Zhang P C, Zhang C W, et al. Study on simple method of measuring and calculating sediment content[J]. Journal of Soil and Water Conservation, 2014, 28(1): 193−197. doi: 10.3969/j.issn.1009-2242.2014.01.037
[16]	黄昌勇. 土壤学[M]. 北京: 中国农业出版社, 2011. Huang C Y. Soil science[M]. Beijing: China Agriculture Press, 2011.
[17]	熊顺贵. 基础土壤学[M]. 北京: 中国农业大学出版社, 2001. Xiong S G. Basic soil science[M]. Beijing: China Agricultural University Press, 2001.

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A simple method for estimating runoff sediment concentration