Evaluation of drought events in various climatic conditions using data-driven models and a reliability-based probabilistic model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
https://link.springer.com/content/pdf/10.1007/s11069-021-05019-7.pdf
Reference67 articles.
1. Abbot J, Marohasy J (2014) ‘Input selection and optimisation for monthly rainfall forecasting in Queensland Australia, using artificial neural networks.’ Atmos Res 138:166–178
2. Aghelpour P, Kisi O, Varshavian V (2021) Multivariate drought forecasting in short- and long-term horizons using MSPI and data-driven approaches. J Hydrol Eng. https://doi.org/10.1061/(ASCE)HE.1943-5584.0002059
3. Ali M, Deo RC, Downs NJ, Maraseni T (2018) An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index. Atmos Res 207:155–180
4. Ang AHS, Tang WH (2007) Probability concepts in engineering planning and design: emphasis on application to civil and environmental engineering. Wiley
5. Balshi MS, David McGuire A, Duffy P, Flannigan M, Walsh J, Melillo J (2009) Assessing the response of area burned to changing climate in western boreal North America using a multivariate adaptive regression splines (MARS) approach. Glob Change Biol 15:578–600
Cited by 34 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Gauging road safety advances using a hybrid EWM–PROMETHEE II–DBSCAN model with machine learning;Frontiers in Public Health;2024-08-22
2. Integration of machine learning and remote sensing for drought index prediction: A framework for water resource crisis management;Earth Science Informatics;2024-08-07
3. Computational intelligence modelling of methylene blue adsorption by metal-organic frameworks;Indian Chemical Engineer;2024-07-22
4. Assessing Drought Vulnerability in the Brazilian Atlantic Forest Using High-Frequency Data;Meteorology;2024-07-16
5. An innovative hybrid W-EEMD-ARIMA model for drought forecasting using the standardized precipitation index;Natural Hazards;2024-07-03
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3