The primary models of interest for areal data analysis are regression models. In the same way that geo-regression models were used to study relations among continuous-data attributes of selected point locations (such as the California rainfall example), the present spatial regression models are designed to study relations among attributes of areal units (such as the English Mortality example in...

introduction precipitation plays an important role in the global energy and water cycle. it is important for assessment and management of land use, agriculture and hydrology such as flood and drought risk reduction to know about the amount of precipitation reaching the ground water. assessment of climate change and its effects require long-term rainfall analysis in all spatial scales. growing c...

Abstract. Rainfall-runoff modeling is of great importance for flood forecast and water management. Hydrological the traditional commonly used approach rainfall-runoff modeling. In recent years, with development artificial intelligence technology, deep learning models, such as long short-term memory (LSTM) model, are increasingly applied to However, current works do not consider effect rainfall ...

Abstract The coupled effect of earthquakes and rainfall is rarely investigated in landslide susceptibility assessments although it could be crucial to predict occurrences. This even more critical the context early warning systems especially cases extreme precipitation regimes post-seismic conditions, where rock masses are already damaged due ground shaking. Here, we investigate this concept by ...

Precipitation is an important component of the Earth’s water cycle and needs to be carefully monitored. Its large variability over a wide range of spatial and temporal scales must be taken into account. For example, hydrological models require accurate rainfall estimates at high spatial and temporal resolutions (e.g., 1 km and 5 min or higher). Obtaining accurate rainfall estimates at these sca...

1. introduction drought is one of the most complex problems not only in the management of water resources, but also creates economic and social issues . but the problem definition, identification and prediction of unresolved. the occurrence of drought can be caused by several factors, mainly rooted in the general circulation of the atmosphere and space physics, and earth's energy balance is sou...

In this paper the spatial distribution of Plecoptera nymphs in the Almas' River basin, Pirenópolis, GO, was studied. Two Surber samples, each comprising 20 sampling units and totalling 2 m2, were taken in each of the 13 stations, one during the rainy season (January 1994) and the second during the dry season (July 1994). In 5 of these stations, monthly samplings were made from June 1993 to July...