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Hybrid deep learning method for a week-ahead evapotranspiration forecasting 期刊论文
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2021
作者:  Ahmed, A. A. Masrur;  Deo, Ravinesh C.;  Feng, Qi;  Ghahramani, Afshin;  Raj, Nawin;  Yin, Zhenliang;  Yang, Linshan
收藏  |  浏览/下载：24/0  |  提交时间：2021/12/07
LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios 期刊论文
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2021, 卷号: 35, 期号: 9
作者:  Ahmed, A. A. Masrur;  Deo, Ravinesh C.;  Ghahramani, Afshin;  Raj, Nawin;  Feng, Qi;  Yin, Zhenliang;  Yang, Linshan
收藏  |  浏览/下载：30/0  |  提交时间：2021/12/07
Modelling and attributing evapotranspiration changes on China's Loess Plateau with Budyko framework considering vegetation dynamics and climate seasonality 期刊论文
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2020, 卷号: 34, 期号: 8
作者:  Ning, Tingting;  Liu, Wenzhao;  Li, Zhi;  Feng, Qi
收藏  |  浏览/下载：23/0  |  提交时间：2021/12/07
Comparison of dynamical and statistical rainfall downscaling of CMIP5 ensembles at a small urban catchment scale 期刊论文
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2019, 卷号: 33, 期号: 4-6, 页码: 989-1012
作者:  Akhter, Muhammad Saleem;  Shamseldin, Asaad Yahia;  Melville, Bruce William
收藏  |  浏览/下载：17/0  |  提交时间：2019/11/07
Projected changes of temperature extremes over nine major basins in China based on the CMIP5 multimodel ensembles 期刊论文
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2019, 卷号: 33, 期号: 1, 页码: 321-339
作者:  Xu, Kai;  Wu, Chuanhao;  Hu, Bill X.
收藏  |  浏览/下载：29/0  |  提交时间：2019/11/07
Design and implementation of a hybrid MLP-GSA model with multi-layer perceptron-gravitational search algorithm for monthly lake water level forecasting 期刊论文
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2019, 卷号: 33, 期号: 1, 页码: 125-147
作者:  Ghorbani, Mohammad Ali;  Deo, Ravinesh C.;  Karimi, Vahid;  Kashani, Mahsa H.;  Ghorbani, Shahryar
收藏  |  浏览/下载：31/0  |  提交时间：2019/11/07
An inexact irrigation water allocation optimization model under future climate change 期刊论文
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2019, 卷号: 33, 期号: 1, 页码: 271-285
作者:  Wang, Youzhi;  Liu, Liu;  Guo, Ping;  Zhang, Chenglong;  Zhang, Fan;  Guo, Shanshan
收藏  |  浏览/下载：35/0  |  提交时间：2019/10/08
Climate change  Interval linear programming  Statistical downscaling  Back propagation neural network  Hargreaves model  Irrigation water allocation  Uncertainty  
Modelling random uncertainty of eddy covariance flux measurements 期刊论文
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2019, 卷号: 33, 期号: 3, 页码: 725-746
作者:  Vitale, Domenico;  Bilancia, Massimo;  Papale, Dario
收藏  |  浏览/下载：20/0  |  提交时间：2019/11/07
How well do climate models reproduce variability in observed rainfall? A case study of the Lake Victoria basin considering CMIP3, CMIP5 and CORDEX simulations 期刊论文
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2019, 卷号: 33, 期号: 3, 页码: 687-707
作者:  Onyutha, Charles;  Rutkowska, Agnieszka;  Nyeko-Ogiramoi, Paul;  Willems, Patrick
收藏  |  浏览/下载：44/0  |  提交时间：2019/11/07
Hydrological post-processing based on approximate Bayesian computation (ABC) 期刊论文
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2019, 卷号: 33, 期号: 7, 页码: 1361-1373
作者:  Romero-Cuellar, Jonathan;  Abbruzzo, Antonino;  Adelfio, Giada;  Frances, Felix
收藏  |  浏览/下载：22/0  |  提交时间：2019/11/07