AIMC Topic: Droughts

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An enhanced drought forecasting in coastal arid regions using deep learning approach with evaporation index.

Environmental research Jan 10, 2024
Coastal arid regions are similar to deserts, where it receives significantly less rainfall, less than 10 cm. Perhaps the world's worst natural disaster, coastal area droughts, can only be detected using reliable monitoring systems. Creating a reliabl...
Machine Learning Deep Learning Droughts Forecasting Temperature
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Application of empirical mode decomposition, particle swarm optimization, and support vector machine methods to predict stream flows.

Environmental monitoring and assessment Aug 29, 2023
Modeling stream flows is vital for water resource planning and flood and drought management. In this study, the performance of hybrid models constructed by combining least square support vector machines (LSSVM), empirical model decomposition (EMD), a...
Droughts Support Vector Machine Rivers Desert Climate Environmental Monitoring
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A new rainfall prediction model based on ICEEMDAN-WSD-BiLSTM and ESN.

Environmental science and pollution research international Mar 1, 2023
Precipitation, as an important indicator describing the evolution of the regional climate system, plays an important role in understanding the spatial and temporal distribution characteristics of regional precipitation. Scientific and accurate predic...
Neural Networks, Computer Droughts Rain Climate Forecasting Floods Weather
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Non-parametric severity-duration-frequency analysis of drought based on satellite-based product and model fusion techniques.

Environmental science and pollution research international Jan 16, 2023
Climate change has increased the severity and frequency of droughts over the last decades. To alleviate the adverse impacts of droughts, an effective planning and management framework requires high-resolution spatiotemporal data. TRMM multi-satellite...
Artificial Intelligence Iran Meteorology Climate Change Droughts
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Drought Assessment Based on Data Fusion and Deep Learning.

Computational intelligence and neuroscience Jul 31, 2022
Drought is a major factor affecting the sustainable development of society and the economy. Research on drought assessment is of great significance for formulating drought emergency policies and drought risk early warning and enhancing the ability to...
Meteorology Droughts Hydrology Rivers Deep Learning
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A novel combined model for prediction of daily precipitation data using instantaneous frequency feature and bidirectional long short time memory networks.

Environmental science and pollution research international Jan 29, 2022
Meteorological events constantly affect human life, especially the occurrence of excessive precipitation in a short time causes important events such as floods. However, in case of insufficient precipitation for a long time, drought occurs. In recent...
Droughts Meteorology Neural Networks, Computer Forecasting Time
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StomataScorer: a portable and high-throughput leaf stomata trait scorer combined with deep learning and an improved CV model.

Plant biotechnology journal Nov 12, 2021
To measure stomatal traits automatically and nondestructively, a new method for detecting stomata and extracting stomatal traits was proposed. Two portable microscopes with different resolutions (TipScope with a 40× lens attached to a smartphone and ...
Plant Leaves Droughts Plant Stomata Phenotype Deep Learning
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Interpretable and explainable AI (XAI) model for spatial drought prediction.

The Science of the total environment Aug 21, 2021
Accurate prediction of any type of natural hazard is a challenging task. Of all the various hazards, drought prediction is challenging as it lacks a universal definition and is getting adverse with climate change impacting drought events both spatial...
Meteorology Climate Change Droughts Artificial Intelligence Algorithms
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Robotic Assay for Drought (RoAD): an automated phenotyping system for brassinosteroid and drought responses.

The Plant journal : for cell and molecular biology Aug 10, 2021
Brassinosteroids (BRs) are a group of plant steroid hormones involved in regulating growth, development, and stress responses. Many components of the BR pathway have previously been identified and characterized. However, BR phenotyping experiments ar...
Protein Kinases Triazoles Droughts Arabidopsis Proteins Zea mays Machine Learning Equipment Design Seedlings Image Processing, Computer-Assisted Phenotype Robotics Soil Arabidopsis Brassinosteroids
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Estimation and easy calculation of the Palmer Drought Severity Index from the meteorological data by using the advanced machine learning algorithms.

Environmental monitoring and assessment Aug 10, 2020
Drought, which has become one of the most severe environmental problems worldwide, has serious impacts on ecological, economic, and socially sustainable development. The drought monitoring process is essential in the management of drought risks, and ...
Support Vector Machine Algorithms Droughts Machine Learning Environmental Monitoring
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