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Vusi Ntiyiso Masingi and Daniel Maposa
Extreme rainfall events have made significant damages to properties, public infrastructure and agriculture in some provinces of South Africa notably in KwaZulu-Natal and Gauteng among others. The general global increase in the frequency and intensity of ...
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Nitesh Awasthi, Jayant Nath Tripathi, George P. Petropoulos, Pradeep Kumar, Abhay Kumar Singh, Kailas Kamaji Dakhore, Kripan Ghosh, Dileep Kumar Gupta, Prashant K. Srivastava, Kleomenis Kalogeropoulos, Sartajvir Singh and Dhiraj Kumar Singh
This study involved an investigation of the long-term seasonal rainfall patterns in central India at the district level during the period from 1991 to 2020, including various aspects such as the spatiotemporal seasonal trend of rainfall patterns, rainfal...
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Francesco Chiaravalloti, Tommaso Caloiero and Roberto Coscarelli
Nowadays, the Mediterranean region is generally recognized as a climate change hot spot given its strong response to global warming, with relevant impacts on rainfall amount and distribution. Within this context, in this work the temporal variability of ...
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Muhammad Faisal Hanif, Muhammad Raza Ul Mustafa, Muhammad Usman Liaqat, Ahmad Mustafa Hashim and Khamaruzaman Wan Yusof
This study aimed to examine the spatiotemporal seasonal and annual trends of rainfall indices in Perak, Malaysia, during the last 35 years, as any seasonal or spatial variability in rainfall may influence the regional hydrological cycle and water resourc...
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Jean-Louis Pinault and Ligia Pereira
Within the context of anthropogenic warming, rainfall oscillations may induce especially important societal impacts worldwide. In this article, we propose to study potential underlying mechanisms related to precipitation changes on a planetary scale by t...
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Eatemad Keshta, Mohamed A. Gad and Doaa Amin
This study develops a response-based hydrologic model for long-term (continuous) rainfall-runoff simulations over the catchment areas of big rivers. The model overcomes the typical difficulties in estimating infiltration and evapotranspiration parameters...
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Shonam Sharma and Prasoon Kumar Singh
The current study was conducted to examine the impact of climate change on rainfall in Jharkhand state of India. It deals with the analysis of the historical spatiotemporal variability of rainfall on the annual, seasonal and monthly scale in 18 districts...
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Michael Baidu, Leonard K. Amekudzi, Jeffery N. A. Aryee and Thompson Annor
Rainfall variability has strong impact on food security, livelihood and socio-economic activities as farming in West Africa is mainly rain-fed. The annual, seasonal and decadal rainfall variability over Ghana has been studied and their periodicities anal...
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Navid Moradpoor, Mohsen Najarchi and Seyed Mohammad Mirhoseini Hezave
Ilam province is located in the southwest of Iran, and the primary motivation for this research is to study different dimensions of rainfall fluctuations in the Ilam province. This study is of great importance for the management of the environment in ter...
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Beatriz Viviana Scian,Jorge Omar Pierini
Se analiza la variabilidad de la precipitación estacional en sus valores medios y extremos para varias regiones de Argentina al norte de 39º S, empleando series mensuales de lluvia que se extienden desde 1860 hasta 2006. Las estaciones seleccionadas pued...
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Hanbeen Kim, Taereem Kim, Ju-Young Shin and Jun-Haeng Heo
Extreme value modeling for extreme rainfall is one of the most important processes in the field of hydrology. For the improvement of extreme value modeling and its physical meaning, large-scale climate modes have been widely used as covariates of distrib...
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Leizhi Wang, Qingfang Hu, Yintang Wang, Zhenduo Zhu, Lingjie Li, Yong Liu and Tingting Cui
In the absence of long-series streamflow records in plain areas, design storm, which serves as the most important input in a hydrologic model, plays an important role in flood control and water resources management. For a large drainage basin, design sto...
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Khalid Alotaibi, Abdul Razzaq Ghumman, Husnain Haider, Yousry Mahmoud Ghazaw and Md. Shafiquzzaman
Future predictions of rainfall patterns in water-scarce regions are highly important for effective water resource management. Global circulation models (GCMs) are commonly used to make such predictions, but these models are highly complex and expensive. ...
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Iqbal Hossain, Rijwana Esha and Monzur Alam Imteaz
The objective of this research is the assessment of the efficiency of a non-linear regression technique in predicting long-term seasonal rainfall. The non-linear models were developed using the lagged (past) values of the climate drivers, which have a si...
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Abdul-Aziz Ibn Musah, Jianguo Du, Thomas Bilaliib Udimal and Mohammed Abubakari Sadick
The agricultural industry employs a large workforce in Ghana and remains the primary source of food security and income. The consequences of extreme weather in this sector can be catastrophic. A consistent picture of meteorological risk and adaptation pa...
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Chun Yan Liu and Ting Fong May Chui
Permeable pavement (PP) is used worldwide to mitigate surface runoff in urban areas. Various studies have examined the factors governing the hydrologic performance of PP. However, relatively little is known about the relative importance of these governin...
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Yuki Wakatsuki, Hideaki Nakane and Tempei Hashino
The increasing frequency of devastating floods from heavy rainfall?associated with climate change?has made river stage prediction more important. For steep, forest-covered mountainous watersheds, deep-learning models may improve prediction of river stage...
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Rossano Ciampalini, Elizabeth J. Kendon, José A. Constantine, Marcus Schindewolf and Ian R. Hall
Climate change can lead to significant environmental and societal impacts; for example, through increases in the amount and intensity of rainfall with the associated possibility of flooding. Twenty-first-century climate change simulations for Great Brita...
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Hanyong Lee, Min Suh Chae, Jong-Yoon Park, Kyoung Jae Lim and Youn Shik Park
Changes in rainfall pattern and land use have caused considerable impacts on the hydrological behavior of watersheds; a Long-Term Hydrologic Impact Analysis (L-THIA) model has been used to simulate such variations. The L-THIA model defines curve number a...
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