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João Dehon Pontes Filho, Maria Manuela Portela, Ticiana Marinho de Carvalho Studart and Francisco de Assis Souza Filho
The standardized precipitation index (SPI), is one of the most used drought indices. However, it is difficult to use to monitor the ongoing drought characteristics because it cannot be expeditiously related to precipitation deficits. It also does not pro...
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Katarzyna Plewa, Adam Perz, Dariusz Wrzesinski and Leszek Sobkowiak
The hydrology of coastal lakes differs significantly from that of inland water bodies due to the influence of the neighboring sea. Observed climatic changes are expected to enhance the effect of the sea on coastal lake ecosystems, which makes research on...
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Darin Majnaric, Sandi Baressi ?egota, Nikola Andelic and Jerolim Andric
One of the main problems in the application of machine learning techniques is the need for large amounts of data necessary to obtain a well-generalizing model. This is exacerbated for studies in which it is not possible to access large amounts of data?fo...
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Benjamin Mudiangombe Mudiangombe and John Weirstrass Muteba Mwamba
This paper examines the effects of the Standard and Poor?s 500 (SP500) stock index crash during the global financial crisis and the COVID-19 pandemic periods on the South African top sector indices (basic materials, consumer goods, consumer services, fin...
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Wafaa El Hannoun, Anas Boukili Makhoukhi, Abdelhak Zoglat and Salah-Eddine El Adlouni
Intensity?duration?frequency (IDF) curves of precipitation are a reference decision support tool used in hydrology. They allow the estimation of extreme precipitation and its return periods. Typically, IDF curves are estimated using univariate frequency ...
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Giovanni De Luca and Giorgia Rivieccio
Climate change is a significant environmental challenge that affects water resources, agriculture, health, and other aspects of human life. Bivariate modeling is a statistical method used to analyze the relationship between variables such as rainfall and...
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Fengping Liu, Xu Wang, Yuhu Chang, Ye Xu, Yinan Zheng, Ning Sun and Wei Li
This study analyzed the multivariate drought risks for the Wei River basin by characterizing the interdependence between the standardized precipitation index (SPI) and the standardized precipitation evapotranspiration index (SPEI). Both parametric and no...
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Maashele Kholofelo Metwane and Daniel Maposa
Financial market data are abundant with outliers, and the search for an appropriate extreme value theory (EVT) approach to apply is an endless debate in the statistics of extremes research. This paper uses EVT methods to model the five-year daily all-sha...
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Xin Huang and Lin Qiu
Exploring the relationship between runoff and sediment elements in a river basin is a prerequisite for realizing the scientific management scheme of runoff and sediment. In this study, six commonly applied probability distributions are utilized to fit th...
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Sandi Baressi ?egota, Vedran Mrzljak, Nikola Andelic, Igor Poljak and Zlatan Car
Machine learning applications have demonstrated the potential to generate precise models in a wide variety of fields, including marine applications. Still, the main issue with ML-based methods is the need for large amounts of data, which may be impractic...
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