Advertisement

Lake-Level Prediction Leveraging Deep Neural Network

  • Jinfeng Wen
  • Peng-Fei Han
  • Zhangbing Zhou
  • Xu-Sheng Wang
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 234)

Abstract

Accurate estimation of water level dynamics in lakes at daily or hourly time-scales is important for the ecosystem and formulation of water resources policies. In this study, lake level dynamics of Sumu Barun Jaran are simulated and predicted at hourly time scale using Deep Learning (DL) model. Two mature machine learning methods, namely Multiple Linear Regression (MLR) and Artificial Neural Network (ANN), are also adopted for the comparison purpose. The result shows that the DL model preforms the best on three criteria, following by the three-layered Back-Propagation ANN model and MLR model.

Keywords

Lake level Sumu Barun Jaran Badain Jaran Desert Deep learning Artificial neural network 

References

  1. 1.
    Gong, Y., Wang, X., Hu, B.X., Zhou, Y., Hao, C., Wan, L.: Groundwater contributions in water-salt balances of the lakes in the Badain Jaran Desert, China. J. Arid Land 8(5), 694–706 (2016)CrossRefGoogle Scholar
  2. 2.
    Nagesh, K.D., Rajib, M.: Bayesian dynamic modelling for nonstationary hydroclimatic time series forecasting along with uncertainty quantification. Hydrol. Process. 22(17), 3488–3499 (2008)CrossRefGoogle Scholar
  3. 3.
    Wei, C.-C.: Comparing lazy and eager learning models for water level forecasting in river-reservoir basins of inundation regions. Env. Modell. Softw. 63, 137–155 (2015)CrossRefGoogle Scholar
  4. 4.
    Li, X.-R., Pan, R.-Y., Duan, F.-Q.: Parameterizing stellar spectra using deep neural networks. Res. Astron. Astrophys. 17(4), 036 (2017)CrossRefGoogle Scholar
  5. 5.
    Wang, T.: Formation and evolution of Badain Jirin Sandy Desert, China. China J. Desert Res. 10(1), 29–40 (1990)Google Scholar
  6. 6.
    Jing, Z., Wang, X.S., Jia, F.C., Guo-Min, L.I., Dong, Y.H.: New insights into the flow directions of groundwater in Western Alxa, Inner Mongolia. Geoscience 35(3), 774–782 (2015)Google Scholar
  7. 7.
    Chen, T., Wang, X., Hu, X., Lu, H., Gong, Y.: Clines in salt lakes in the Badain Jaran Desert and their significances in indicating fresh groundwater discharge. J. Lake Sci. 27(1), 183–189 (2015)CrossRefGoogle Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  1. 1.China University of Geosciences (Beijing)BeijingChina
  2. 2.Computer Science DepartmentTELECOM SudParisEvryFrance

Personalised recommendations