Wei Wang

Dr. Wei Wang


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 June 2020 in Hydrological Processes
Verified
Journal Article
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YHYuhan Huang
Yuhan Huang
FLFahu Li
Fahu Li
Wei WangWei Wang
Wei Wang
JLJuan Li
Juan Li

1 February 2020 in Scientia Horticulturae
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Journal Article
Closed access
YWYang Wu
Yang Wu
ZZZhi Zhao
Zhi Zhao
SLSongzhong Liu
Songzhong Liu
XHXingfa Huang
Xingfa Huang
Wei WangWei Wang
Wei Wang

1 January 2022 in International Journal of Agricultural and Biological Engineering
Verified
Journal Article
Open access
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YHYuhan Huang
Yuhan Huang
MZMingquan Zhao
Mingquan Zhao
HZHui Zhao
Hui Zhao
TLTingwu Lei
Tingwu Lei
JTJu Tang
Ju Tang
Wei WangWei Wang
Wei Wang
Stirring-sampling method is a widely adopted method to measure sediment concentrations in collection tanks of runoff plots, but with high systematic measurement errors. This research aimed to advance an approach for building correction equations to remove measurement errors in designed sediment concentration range. Experimental data of sediment measurement from the stirring-sampling method, with four representative soils, under the designed sediment concentrations (1, 2, 5, 8, 10, 20, 50, 80, 100, 200, 500, 800, and 1000 kg/m3) were used to demonstrate the correction methodological process. Two correction methods (step-wise correction and universal correction) were suggested for the trial in this study based on the distribution of measurement errors. In the step-wise correction, the correction equations were made with a series of linear functions without intercept for the low concentration group (0-20 kg/m3), a series of linear functions with intercept for the high (20-200 kg/m3) and extremely high (200-1000 kg/m3) concentration groups, consecutively. The correction equations were a series of power functions in the universal correction. For the step-wise correction, most of the relative errors of correction sediment concentrations were smaller than 15% and 10% under high and extremely high concentration groups, but the corrected accuracy was not good in the sediment concentration of 1, 2, 5 kg/m3 with the corrected relative errors of 0.20%-206.07%. For the universal correction, the corrected relative errors (0.19%-31.81%) of the four soils were low under the condition of extremely high sediment concentrations, but other corrected accuracies weren’t good with the corrected relative errors of 0.68%-1154.71%. The corrected accuracy of step-wise correction is higher than that of the universal correction, but the universal correction is more convenient. These results indicated that the correction equations could efficiently revise the measurement errors of the tested soils and that this method can be generalized to other soil types and was meaningful in monitoring soil erosion. Keywords: runoff, sediment concentration, measurement error, correction, stirring-sampling method DOI: 10.25165/j.ijabe.20221506.6972 Citation: Huang Y H, Zhao M Q, Zhao H, Lei T W, Tang J, Wang W. Correction of measurement errors on sediment concentration sampled by stirring-sampling method from traditional runoff collection tanks. Int J Agric & Biol Eng, 2022; 15(6): 134–142.

1 January 2019 in International Journal of Agricultural and Biological Engineering
Verified
Journal Article
Open access
PDF file
YHYuhan Huang
Yuhan Huang
HZHui Zhao
Hui Zhao
FLFahu Li
Fahu Li
PYPujin Yuan
Pujin Yuan
Wei WangWei Wang
Wei Wang
ZWziguan wang
ziguan wang
Measurement errors on sediment concentration from traditional runoff collection tanks and its correction possibility

15 May 2023 in Water
Verified
Journal Article
Open access
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YHYuhan Huang
Yuhan Huang
MZMingquan Zhao
Mingquan Zhao
DWDan Wan
Dan Wan
TLTingwu Lei
Tingwu Lei
FLFahu Li
Fahu Li
Wei WangWei Wang
Wei Wang
A rational calculation of the rill detachment rate (RDR) and an accurate simulation of the rill detachment process are important for determining the model parameters of hillslope erosion. Here, we found a difference between RDRs calculated using different methods that cannot be ignored. This study proposes a modified numerical method based on the dataset of the measured sediment concentrations along the rill length over a saturated loess soil slope to improve the calculation of RDR. For the saturated loess soil slope, the modified numerical RDR reduced the relative error from 58.3% to 4.6%, thereby demonstrating the efficiency of the modified numerical method. Furthermore, datasets of previous studies on different soil types and rill width verified the accuracy and applicability of the modified numerical method. A measurement strategy with more sampling points set at the forepart of the rill is proposed to enhance the calculation accuracy of RDR in accordance with the absolute error distribution between numerical and modified numerical RDRs. This study contributes to the literature by correcting previous data, improving data for subsequent measurements, and supplying a basis for the accurate estimation of RDR for rill erosion modeling.