Multi-models for SPI drought forecasting in the north of Haihe River Basin, China
Y Zhang, W Li, Q Chen, X Pu, L Xiang - Stochastic environmental research …, 2017 - Springer
Drought is one of the most devastating climate disasters. Hence, drought forecasting plays
an important role in mitigating some of the adverse effects of drought. Data-driven models …
an important role in mitigating some of the adverse effects of drought. Data-driven models …
Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet neural network and wavelet support vector regression models
Long-term drought forecasts can provide valuable information to help mitigate some of the
consequences of drought. Data driven models are suitable forecast tools due to their …
consequences of drought. Data driven models are suitable forecast tools due to their …
[图书][B] Coping with water scarcity: Addressing the challenges
LS Pereira, I Cordery, I Iacovides - 2009 - books.google.com
One of the main problems confronting the world of the 21st Century is a shortage of water.
There is already severe scarcity in many regions of the world, causing tremendous problems …
There is already severe scarcity in many regions of the world, causing tremendous problems …
Coupling machine learning methods with wavelet transforms and the bootstrap and boosting ensemble approaches for drought prediction
This study explored the ability of coupled machine learning models and ensemble
techniques to predict drought conditions in the Awash River Basin of Ethiopia. The potential …
techniques to predict drought conditions in the Awash River Basin of Ethiopia. The potential …
Standard precipitation index drought forecasting using neural networks, wavelet neural networks, and support vector regression
A Belayneh, J Adamowski - Applied computational intelligence …, 2012 - Wiley Online Library
Drought forecasts can be an effective tool for mitigating some of the more adverse
consequences of drought. Data‐driven models are suitable forecasting tools due to their …
consequences of drought. Data‐driven models are suitable forecasting tools due to their …
A fusion-based methodology for meteorological drought estimation using remote sensing data
MR Alizadeh, MR Nikoo - Remote sensing of environment, 2018 - Elsevier
An effective planning and management to deal with potential impacts of drought requires
accurate estimation and analysis of this natural complex phenomenon. Application of new …
accurate estimation and analysis of this natural complex phenomenon. Application of new …
SPI-based drought category prediction using loglinear models
Loglinear modeling for three-dimensional contingency tables was used with data from 14
rainfall stations located in Alentejo and Algarve region, southern of Portugal, for short term …
rainfall stations located in Alentejo and Algarve region, southern of Portugal, for short term …
[PDF][PDF] Drought forecasting using new machine learning methods
A Belayneh, J Adamowski - Journal of Water and Land …, 2013 - archive.sciendo.com
In order to have effective agricultural production the impacts of drought must be mitigated.
An important aspect of mitigating the impacts of drought is an effective method of forecasting …
An important aspect of mitigating the impacts of drought is an effective method of forecasting …
Short-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet transforms and machine learning methods
A Belayneh, J Adamowski, B Khalil - Sustainable Water Resources …, 2016 - Springer
Droughts can cause significant damage to agricultural and other systems. An important
aspect of mitigating the impacts of drought is an effective method of forecasting future …
aspect of mitigating the impacts of drought is an effective method of forecasting future …
Quantitative vulnerability assessment of water quality to extreme drought in a changing climate
Projected changes in the global climate indicate warmer temperatures and a highly variable
hydrologic cycle, portending significant societal effects, particularly those stemming from …
hydrologic cycle, portending significant societal effects, particularly those stemming from …