Forecasting of SPI and meteorological drought based on the artificial neural network and M5P model tree
Climate change has caused droughts to increase in frequency and severity worldwide,
which has attracted scientists to create drought prediction models to mitigate the impacts of …
which has attracted scientists to create drought prediction models to mitigate the impacts of …
Forecasting standardized precipitation index using data intelligence models: regional investigation of Bangladesh
A noticeable increase in drought frequency and severity has been observed across the
globe due to climate change, which attracted scientists in development of drought prediction …
globe due to climate change, which attracted scientists in development of drought prediction …
Drought analysis in Europe and in the Mediterranean basin using the standardized precipitation index
T Caloiero, S Veltri, P Caloiero, F Frustaci - Water, 2018 - mdpi.com
In this study, drought events over a large area of the Northern Hemisphere, including
continental Europe, Ireland, the United Kingdom, and the Mediterranean basin, were …
continental Europe, Ireland, the United Kingdom, and the Mediterranean basin, were …
Comparative assessment of improved SVM method under different kernel functions for predicting multi-scale drought index
CB Pande, NL Kushwaha, IR Orimoloye… - Water Resources …, 2023 - Springer
This paper focus on the drought monitoring and forecasting for semi-arid region based on
the various machine learning models and SPI index. Drought phenomena are crucial role in …
the various machine learning models and SPI index. Drought phenomena are crucial role in …
The innovative polygon trend analysis (IPTA) as a simple qualitative method to detect changes in environment—example detecting trends of the total monthly …
Precipitation is a crucial component of the water cycle, and its unpredictability may
dramatically influence agriculture, ecosystems, and water resource management. On the …
dramatically influence agriculture, ecosystems, and water resource management. On the …
Meteorological and hydrological drought analysis of the Seyhan− Ceyhan River Basins, Turkey
The increase in concern about drought in the Seyhan− Ceyhan River Basins in Turkey has
brought about the need to define temporal and spatial drought variations. Unlike previous …
brought about the need to define temporal and spatial drought variations. Unlike previous …
[HTML][HTML] Influence of drought duration and severity on drought recovery period for different land cover types: evaluation using MODIS-based indices
A Fathi-Taperasht, H Shafizadeh-Moghadam… - Ecological …, 2022 - Elsevier
Drought is a slow-onset phenomenon driven by the lack of precipitation, affecting the
performance of plants and functionality of terrestrial ecosystems. In addition to the length …
performance of plants and functionality of terrestrial ecosystems. In addition to the length …
Spatiotemporal characteristics and forecasting of short-term meteorological drought in China
Intense short-term meteorological drought may lead to rapid declines in soil moisture,
triggering flash drought that can cause major agricultural or socioeconomic damage …
triggering flash drought that can cause major agricultural or socioeconomic damage …
Probabilistic evaluation of vegetation drought likelihood and its implications to resilience across India
Vegetation distribution and growth are significantly affected by changing climate conditions.
Understanding the response of vegetation to hydroclimatic disturbances such as droughts is …
Understanding the response of vegetation to hydroclimatic disturbances such as droughts is …
Identification of influential weather parameters and seasonal drought prediction in Bangladesh using machine learning algorithm
Droughts pose a severe environmental risk in countries that rely heavily on agriculture,
resulting in heightened levels of concern regarding food security and livelihood …
resulting in heightened levels of concern regarding food security and livelihood …