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A New Methodology for Reference Evapotranspiration Prediction and Uncertainty Analysis under Climate Change Conditions Based on Machine Learning, Multi Criteria Decision Making and Monte Carlo Methods 期刊论文
SUSTAINABILITY, 2022, 卷号: 14, 期号: 5
作者:  Kadkhodazadeh, Mojtaba;  Valikhan Anaraki, Mahdi;  Morshed-Bozorgdel, Amirreza;  Farzin, Saeed
收藏  |  浏览/下载：0/0  |  提交时间：2024/01/31
Comparison of different methodologies for rainfall–runoff modeling: machine learning vs conceptual approach 期刊论文
Natural Hazards, 2021, 卷号: 105, 期号: 3
作者:  Adnan R.M.;  Petroselli A.;  Heddam S.;  Santos C.A.G.;  Kisi O.
收藏  |  浏览/下载：39/0  |  提交时间：2021/09/01
EBA4SUB  Hourly rainfall–runoff modeling  Machine learning  Physically event-based conceptual method  
Monthly precipitation assessments in association with atmospheric circulation indices by using tree-based models 期刊论文
Natural Hazards, 2020, 卷号: 102, 期号: 3
作者:  Sattari M.T.;  Shaker Sureh F.;  Kahya E.
收藏  |  浏览/下载：23/0  |  提交时间：2021/09/01
Atmospheric circulations  Iran  M5 tree model  Meteorological variables  Monthly precipitation  Random forest  
Global Carbon Budget 2019 科技报告
, 2019
作者:  [unavailable]
Adobe PDF(9194Kb)  |  收藏  |  浏览/下载：18/1  |  提交时间：2021/11/24
Climate Change Adaptation in the Agriculture Sector in Europe 科技报告
, 2019
作者:  [unavailable]
Adobe PDF(24093Kb)  |  收藏  |  浏览/下载：2/0  |  提交时间：2021/11/24
Universally deployable extreme learning machines integrated with remotely sensed MODIS satellite predictors over Australia to forecast global solar radiation: A new approach 期刊论文
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2019, 卷号: 104, 页码: 235-261
作者:  Deo, Ravinesh C.;  Sahin, Mehmet;  Adamowski, Jan F.;  Mi, Jianchun
收藏  |  浏览/下载：21/0  |  提交时间：2019/11/07
Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment 期刊论文
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2018, 卷号: 32, 期号: 9
作者:  Yin, Zhenliang;  Feng, Qi;  Wen, Xiaohu;  Deo, Ravinesh C.;  Yang, Linshan;  Si, Jianhua;  He, Zhibin
收藏  |  浏览/下载：46/0  |  提交时间：2019/11/08
River flow forecasting  Support vector regression  Multivariate adaptive regression spline  M5Tree model  Data-driven model  
Water temperature in the Lower Quinault River, Olympic Peninsula, Washington, June 2016 - August 2017 科技报告
报告编号: 70198621, 页数: 32, 2018
作者:  Jaeger, Kristin L. kjaeger@usgs.gov;  Curran, Christopher A. ccurran@usgs.gov;  Wulfkuhle, Elyse J.;  Opatz, Chad C. copatz@usgs.gov
Adobe PDF(5870Kb)  |  收藏  |  浏览/下载：46/17  |  提交时间：2019/11/06
Geologic field trip guide to Mount Mazama and Crater Lake Caldera, Oregon 科技报告
报告编号: 70188705, , 2017
作者:  Bacon, Charles R. cbacon@usgs.gov;  Wright, Heather M. hwright@usgs.gov
Adobe PDF(22585Kb)  |  收藏  |  浏览/下载：6/6  |  提交时间：2019/11/06