Application study of quantum dot spectral sensing suspended sediment monitoring equipment at soil and water conservation monitoring station

Sun Changku; Zong Xiaotian; An Leping; Li Lei; Dai Ning; Cong Peijuan; Zhou Tianshuo

doi:10.13961/j.cnki.stbctb.2025.02.016

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Application study of quantum dot spectral sensing suspended sediment monitoring equipment at soil and water conservation monitoring station

- Application study of quantum dot spectral sensing suspended sediment monitoring equipment at soil and water conservation monitoring station
- Bulletin of Soiland Water Conservation Vol. 45, Issue 2, Pages: 151-158(2025)
- 作者机构：
  
  1. 芯视界(北京)科技有限公司,北京,100083
  2. 水利部水土保持监测中心,北京,100053
  3. 江西省水利科学院,江西,南昌,330029
  4. 黄河水土保持天水治理监督局,甘肃,天水,741000
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2025.02.016
  CLC： S157;P332.5
- Online First：16 May 2025，
  
  Published：2025
- 稿件说明：
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Sun Changku, Zong Xiaotian, An Leping, et al. Application study of quantum dot spectral sensing suspended sediment monitoring equipment at soil and water conservation monitoring station[J]. Bulletin of Soiland Water Conservation, 2025, 45(2): 151-158.
DOI：

Sun Changku, Zong Xiaotian, An Leping, et al. Application study of quantum dot spectral sensing suspended sediment monitoring equipment at soil and water conservation monitoring station[J]. Bulletin of Soiland Water Conservation, 2025, 45(2): 151-158. DOI： 10.13961/j.cnki.stbctb.2025.02.016.

摘要

[目的] 通过实验室模拟和野外的比测试验，优化量子点光谱悬移质泥沙监测设备在水土保持监测中的计算模型，分析误差来源，为设备进一步改进和推广应用奠定基础。[方法] 在实验室搭建了量子点含沙量在线监测试验系统，对不同含沙量样本进行重复性试验，并将实验室收集数据分成训练集和测试集，通过精度分析比选了计算模型；在野外试验中选择天水水土保持监测站罗玉沟断面安装了设备，以人工置换法测定的含沙量作为真值，对2023年8—9月发生的8次产流产沙过程进行了同步比测分析。[结果] 试验系统中设计含沙量与人工实测含沙量之间的相对误差为-12%~-28%，人工实测重复性试验的相对标准差为0.1%～5.0%之间；拟合指数回归模型(模型1)和二次多项式回归模型(模型2)在训练集的决定系数分别为0.966，0.996，模型2在测试集4项精度评价指标中3项占优，其中决定系数为0.991；野外比测数据的决定系数为0.939，平均绝对误差为9.1 g/L。[结论] 量子点光谱悬移质泥沙监测设备具有较好的稳定性和可靠性。未来可通过布设方式的优化、硬件量程的拓展和计算模型的优化进一步提升应用效果。

Abstract

[Objective] Through a series of laboratory and field experiments

a computational model of quantum dot spectral suspended sediment monitoring equipment was optimized

and the sources of error were analyzed to lay the foundation for further improvement and application of the equipment. [Methods] An in situ suspended sediment concentration monitoring system using quantum dots was constructed in a laboratory. Reproducibility tests were performed on samples with different sediment concentrations. Laboratory data were divided into training and testing sets

and accuracy analysis was performed to select the best computational model. For the field experiment

the equipment was installed at the Luoyu Gou site at the Tianshui Soil and Water Conservation Monitoring Station. The sediment concentration

measured using the manual replacement method

served as the true value. A comparative analysis was conducted for eight runoff and sediment transport events that occurred between August and September 2023. [Results] The relative errors between the designed and manually measured sediment concentrations ranged from -12% to -28%. The relative standard deviations of the repeatability tests for manually measured sediment concentrations ranged from 0.1% to 5.0%. The fitted index regression model (model 1) and quadratic polynomial regression model (model 2) had determination coefficients of 0.966 and 0.996

respectively

for the training set. For the testing set

model 2 outperformed model 1 in three of the four accuracy evaluation metrics with a determination coefficient of 0.991. The determination coefficient for the field comparison data was 0.939 with an average absolute error of 9.1 g/L. [Conclusion] The quantum dot spectral suspended sediment monitoring equipment demonstrated good stability and reliability. Future improvements in application effectiveness can be achieved by optimizing the installation method

expanding the hardware range

and optimizing the computational model.

关键词

Keywords

references

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