Articles | Volume 17, issue 6
Hydrol. Earth Syst. Sci., 17, 2297–2303, 2013
https://doi.org/10.5194/hess-17-2297-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue: Statistical methods for hydrological applications
Research article
25 Jun 2013
Research article
| 25 Jun 2013
Stochastic modeling of Lake Van water level time series with jumps and multiple trends
H. Aksoy et al.
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Cited
16 citations as recorded by crossref.
- Regressive-stochastic models for predicting water level in Lake Urmia B. Vaheddoost & H. Aksoy 10.1080/02626667.2021.1974447
- Monthly reservoir inflow forecasting using a new hybrid SARIMA genetic programming approach H. Moeeni et al. 10.1007/s12040-017-0798-y
- Application of stochastic models in predicting Lake Malawi water levels M. Rodgers et al. 10.5897/IJWREE2017.0740
- Short-term forecast of Yangtze River water level based on Long Short-Term Memory neural network S. Chen & Y. Qiao 10.1088/1755-1315/831/1/012051
- Modeling 25 years of spatio-temporal surface water and inundation dynamics on large river basin scale using time series of Earth observation data V. Heimhuber et al. 10.5194/hess-20-2227-2016
- Multiple Remotely Sensed Lines of Evidence for a Depleting Seasonal Snowpack in the Near East Y. Yılmaz et al. 10.3390/rs11050483
- Lake water-level fluctuation forecasting using machine learning models: a systematic review S. Zhu et al. 10.1007/s11356-020-10917-7
- Statistical assessment of interbasin water transfer for karst areas (Turkey) A. Sanlı et al. 10.1007/s12517-021-08693-w
- Urmia Lake water-level change detection and modeling F. Fathian et al. 10.1007/s40808-016-0253-0
- Determination of Burdur Lake’s areal change in upcoming years using geographic information systems and the artificial neural network method K. Hepdeniz 10.1007/s12517-020-06137-5
- A REVIEW OF K-MEDOID ALGORITHM BASED LEVEL LAKE DETECTION D. PRIYANKA & S. SANJIVANI 10.26634/jse.12.1.13920
- Forecasting of water level in multiple temperate lakes using machine learning models S. Zhu et al. 10.1016/j.jhydrol.2020.124819
- A Spaceborne Multisensory, Multitemporal Approach to Monitor Water Level and Storage Variations of Lakes A. Taravat et al. 10.3390/w8110478
- GÖL SEVİYE TAHMİNİ: EĞİRDİR GÖLÜ M. KESKİN et al. 10.21923/jesd.340383
- Forecasting surface water-level fluctuations of a small glacial lake in Poland using a wavelet-based artificial intelligence method A. Piasecki et al. 10.1007/s11600-018-0183-5
- Research on the long-term and short-term forecasts of navigable river’s water-level fluctuation based on the adaptive multilayer perceptron T. Zhou et al. 10.1016/j.jhydrol.2020.125285
15 citations as recorded by crossref.
- Regressive-stochastic models for predicting water level in Lake Urmia B. Vaheddoost & H. Aksoy 10.1080/02626667.2021.1974447
- Monthly reservoir inflow forecasting using a new hybrid SARIMA genetic programming approach H. Moeeni et al. 10.1007/s12040-017-0798-y
- Application of stochastic models in predicting Lake Malawi water levels M. Rodgers et al. 10.5897/IJWREE2017.0740
- Short-term forecast of Yangtze River water level based on Long Short-Term Memory neural network S. Chen & Y. Qiao 10.1088/1755-1315/831/1/012051
- Modeling 25 years of spatio-temporal surface water and inundation dynamics on large river basin scale using time series of Earth observation data V. Heimhuber et al. 10.5194/hess-20-2227-2016
- Multiple Remotely Sensed Lines of Evidence for a Depleting Seasonal Snowpack in the Near East Y. Yılmaz et al. 10.3390/rs11050483
- Lake water-level fluctuation forecasting using machine learning models: a systematic review S. Zhu et al. 10.1007/s11356-020-10917-7
- Statistical assessment of interbasin water transfer for karst areas (Turkey) A. Sanlı et al. 10.1007/s12517-021-08693-w
- Urmia Lake water-level change detection and modeling F. Fathian et al. 10.1007/s40808-016-0253-0
- Determination of Burdur Lake’s areal change in upcoming years using geographic information systems and the artificial neural network method K. Hepdeniz 10.1007/s12517-020-06137-5
- A REVIEW OF K-MEDOID ALGORITHM BASED LEVEL LAKE DETECTION D. PRIYANKA & S. SANJIVANI 10.26634/jse.12.1.13920
- Forecasting of water level in multiple temperate lakes using machine learning models S. Zhu et al. 10.1016/j.jhydrol.2020.124819
- A Spaceborne Multisensory, Multitemporal Approach to Monitor Water Level and Storage Variations of Lakes A. Taravat et al. 10.3390/w8110478
- GÖL SEVİYE TAHMİNİ: EĞİRDİR GÖLÜ M. KESKİN et al. 10.21923/jesd.340383
- Forecasting surface water-level fluctuations of a small glacial lake in Poland using a wavelet-based artificial intelligence method A. Piasecki et al. 10.1007/s11600-018-0183-5
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