Explainable machine learning for the prediction and assessment of complex drought impacts-Reference-Cited by-同舟云学术

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Explainable machine learning for the prediction and assessment of complex drought impacts

Published:2023-11 Issue: Volume:898 Page:165509
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Zhang Beichen,Abu Salem Fatima K.,Hayes Michael J.,Smith Kelly Helm,Tadesse Tsegaye,Wardlow Brian D.

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference92 articles.

1. Heat waves in the United States: mortality risk during heat waves and effect modification by heat wave characteristics in 43 US communities;Anderson;Environ. Health Perspect.,2011

2. Flood hazard and risk mapping by applying an explainable machine learning framework using satellite imagery and GIS data;Antzoulatos;Sustainability,2022

3. Forest fires and climate change: causes, consequences and management options;Aponte;Int. J. Wildland Fire,2016

4. Deep learning and machine learning in hydrological processes climate change and earth systems a systematic review;Ardabili,2019

5. Exploring the link between drought indicators and impacts;Bachmair;Nat. Hazards Earth Syst. Sci.,2015

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1. Attribution of hydrological droughts in large river-connected lakes: Insights from an explainable machine learning model;Science of The Total Environment;2024-11

2. Acid rain prediction in the Guangdong-Hong Kong-Macao Greater Bay Area using an explainable machine learning framework;Atmospheric Pollution Research;2024-09

3. Spatiotemporal analysis of tropical vegetation ecosystems and their responses to multifaceted droughts in Mainland Southeast Asia using satellite-based time series;GIScience & Remote Sensing;2024-08-05

4. Predicting Food‐Security Crises in the Horn of Africa Using Machine Learning;Earth's Future;2024-08

5. Short lead time standard precipitation index forecasting: Extreme learning machine and variational mode decomposition;Journal of Hydrology: Regional Studies;2024-08

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