Spatial Interpolation of Rainfall Erosivity Using Artificial Neural Networks for Southern Brazil Conditions
نویسندگان
چکیده
منابع مشابه
Rainfall Prediction Using Artificial Neural Networks
The spatial interpolation comparison 97 is concerned with predicting the daily rainfall at 367 locations based on the daily rainfall at nearby 100 locations in Switzerland. We propose a divide -and-conquer approach where the whole region is divided into four sub-areas and each is modeled with a different method. Predictions in two larger areas were made by RBF networks based on the locational i...
متن کاملArtificial neural networks aided annual rainfall erosivity factor values calculation in Poland
Calculation and analysis of annual R-factor local values for 103 stations in Poland were the main aims of this study. Calculations were made by means of single hidden layer perceptron artificial neural network on the base of monthly precipitation totals from years: 1961-1980. For most of the analyzed stations calculated average annual R-factor values were low or moderate, at the range from 50 t...
متن کاملSpatial Zoning of Iran's Annual Rainfall using ANFIS-FCM Artificial-Fuzzy Neural Model
Precipitation is one of the most significant climatic parameters; its distribution and values in different areas is the result of complex linear and nonlinear relationships between atmospheric elements-climatic processes and the spatial structure of the earth's surface environment. Classification of data and placing them in small and homogeneous zones can be effective in improving the understan...
متن کاملSpatial Interpolation Using Copula for non-Gaussian Modeling of Rainfall Data
‎One of the most useful tools for handling multivariate distributions of dependent variables in terms of their marginal distribution is a copula function‎. ‎The copula families capture a fair amount of attention due to their applicability and flexibility in describing the non-Gaussian spatial dependent data‎. ‎The particular properties of the spatial copula are rarely ...
متن کاملSpatial and temporal variability of rainfall erosivity factor for Switzerland
Rainfall erosivity, considering rainfall amount and intensity, is an important parameter for soil erosion risk assessment under future land use and climate change. Despite its importance, rainfall erosivity is usually implemented in models with a low spatial and temporal resolution. The purpose of this study is to assess the temporaland spatial distribution of rainfall erosivity in form of the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Revista Brasileira de Ciência do Solo
سال: 2016
ISSN: 0100-0683
DOI: 10.1590/18069657rbcs20150132