Rainfall erosivity factor (R-factor) is one of the Universal Soil Loss Equation (USLE) input parameters that account for impacts rainfall intensity in estimating soil loss. Although many studies have calculated R-factor using various empirical methods or USLE method, these are time-consuming and require specialized knowledge user. The purpose this study to develop machine learning models predic...

Meteorological big data has a wide geographical range, large space-time density, many types and strong timeliness. It become the requirement of development meteorological industry to quickly extract huge information knowledge from solve problem weather prediction. Based on measured maximum one-hour rainfall six representative stations in Wuhan 1992 2021, variation law, characteristic analysis r...

After more than 350 mm of rainfall fell in a few hours on 22 November 2011, thousands of landslides and floods were induced in two main zones of Northeastern Sicily. The total rainfall has been reconstructed integrating available rain gauge data with Tropical Rainfall Measuring Mission (TRMM) satellite data from NASA (National Aeronautics and Space Administration); the landslide distribution in...

it is necessary to use empirical models for estimating of instantaneous peak discharge because of deficit of gauging stations in the country. hence, at present study, two models including artificial neural networks and nonlinear multivariate regression were used to predict peak discharge in taleghan watershed. maximum daily mean discharge and corresponding daily rainfall, one day antecedent and...

A major challenge confronting the scientific community is to understand both patterns of and controls over spatial and temporal variability of carbon exchange between boreal forest ecosystems and the atmosphere. An understanding of the sources of variability of carbon processes at fine scales and how these contribute to uncertainties in estimating carbon fluxes is relevant to representing these...

planning of air pollution control programs need knowledge of pollutants emitting sources; the department of environmental health, school of public health, tehran university, performed an air monitoring program for a period of six months in 1976-77. a daily sampling was done from 8 a.m. to 8 p.m., at ten different stations in metropolitan tehran. saltzman's sampling and analysis procedures were ...

introduction: the southern oscillation is a large scale phenomenon that changes the normal oscillating air pressure on both sides of the pacific ocean. it disrupted the normal conditions and the patterns of temperature and precipitation change in the nearby region and other regions of the world. this phenomenon is caused by changing the water slope in the pacific ocean between peru (northwester...

Rainfall data of high temporal resolution are required in a multitude of hydrological applications. In the present paper, a temporal rainfall disaggregation model is applied to convert daily time series into an hourly resolution. The model is based on the principles of random multiplicative cascade processes. Its parameters are dependent on (1) the volume and (2) the position in the rainfall se...

One of the main challenges for meteorological and hydrological modelling is accurate rainfall measurement and mapping across time and space. To date, the most effective methods for large-scale rainfall estimates are radar, satellites, and, more recently, received signal level (RSL) measurements derived from commercial microwave networks (CMNs). While these methods provide improved spatial resol...