Author(s)

Zhenpeng Shi ¹

Affiliation(s)

¹ School of Information Engineering, Yangzhou Polytechnic College, Yangzhou, 225009, China

Corresponding Author

Zhenpeng Shi

ABSTRACT

The Yellow River is one of the most important rivers in China, and the monitoring of ecological environment in the Yellow River basin is very important to protect the ecosystem and sustainable development of the Yellow River. The research on the analysis of water and sediment detection data in the Yellow River Basin has a certain theoretical guiding significance for water resource allocation and water and sediment coordination in the Yellow River basin. In order to explore the relationship between the sediment content of the Yellow River and the time, discharge and water level, we introduced a multivariate nonlinear regression model based on the general linear regression model. A multivariate nonlinear regression analysis model of Yellow River water and sediment is constructed by using the least square theory and Pearson correlation visualization in processing big data and data relationships.

KEYWORDS

Multivariate nonlinear regression, Pearson correlation, Yellow river water and sediment

CITE THIS PAPER

Zhenpeng Shi, Analysis model of Yellow River water and sediment monitoring data based on multiple regression. Environment, Resource and Ecology Journal (2023) Vol. 7: 58-65. DOI: http://dx.doi.org/10.23977/erej.2023.070708.

REFERENCES

[1] Hu Chunhong, Zhang Xiaoming. Soil and water loss control and sediment change of Yellow River in Loess Plateau [J]. Water Resources and Hydropower Technology ,2020(1):1-11. 
[2] Bainbridge Z T , Lewis S E , Smithers S G ,et al.Fine‐suspended sediment and water budgets for a large, seasonally dry tropical catchment: Burdekin River catchment, Queensland, Australia[J].Water Resources Research, 2015, 50(11):9067-9087.DOI:10.1002/2013WR014386.
[3] Gao Zongjun, Feng Guoping. Runoff sediment variation trend and cause analysis [J]. Journal of groundwater, and 2020.147-151.
[4] Zhiyi W,Tingyu W,Yongqiang Y, et al. Differential Confocal Optical Probes with Optimized Detection Efficiency and Pearson Correlation Coefficient Strategy Based on the Peak-Clustering Algorithm.[J]. Micromachines,2023,14(6).148-155.
[5] Ziyun Y,Lei C,Gang L, et al. Physics-based Bayesian linear regression model for predicting length of mixed oil[J]. Geoenergy Science and Engineering,2023.223.-235.
[6] Jürgen G,Annette M. A Note on Cohen's d From a Partitioned Linear Regression Model[J]. Journal of Statistical Theory and Practice,2023.72-80.
[7] Yangguang R,Ziqi L,Zhiqiang X, et al. Slurry-ability mathematical modeling of microwave-modified lignite: A comparative analysis of multivariate non-linear regression model and XGBoost algorithm model[J]. Energy,2023,281.69-82
[8] Zhao H , Kou H , Xia R .Research on the evaluation system of Yellow River water and sediment mathematical model[J].Yellow River, 2014.
[9] Pan Bin, Change of water and sediment in the Yellow River and its response to Climate Change and Human Activities, Shandong Normal University, 2021.57-63.
[10] Liu Hongwei, Wang Hongtao, Ma Haibing, Yellow River Water Pollution Monitoring based on Remote Sensing and GIS technology, Journal of Henan Vocational College of Water Resources and Hydropower,2010.45-51.

Sponsors, Associates, and Links

---

• International Journal of Geological Resources and Geological Engineering
  
  
• Big Geospatial Data and Data Science
  
  
• Solid Earth and Space Physics
  
  
• Environment and Climate Protection
  
  
• Journal of Cartography and Geographic Information Systems
  
  
• Offshore and Polar Engineering
  
  
• Physical and Human Geography
  
  
• Journal of Atmospheric Physics and Atmospheric Environment
  
  
• Trends in Meteorology
  
  
• Journal of Coastal Engineering Research
  
  
• Focus on Plant Protection
  
  
• Toxicology and Health of Environment
  
  
• Geoscience and Remote Sensing
  
  
• Advances in Physical Oceanography
  
  
• Biology, Chemistry, and Geology in Marine
  
  
• Water-Soil, Biological Environment and Energy
  
  
• Geodesy and Geophysics
  
  
• Journal of Structural and Quaternary Geology
  
  
• Journal of Sedimentary Geology
  
  
• International Journal of Polar Social Research and Review