شماره ركورد كنفرانس :
3951
عنوان مقاله :
Comparing Interpolation Models in ArcGIS Based on Rainfall Patterns in Ramsar Catchment, Iran
پديدآورندگان :
Zabihi Hasan Department of Geoinformation, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, 81310 UTM, Johor Bahru, Johor, Malaysia , Nikfar Maryam Department of Civil Engeering, Faculty Civil, Islamic Azad University of Ramsar, Iran , Pourramezan Isa Department of Geography, Faculty of Human Sciences, Islamic Azad University of Rasht, Iran
كليدواژه :
Spatial Interpolation Models , GIS, RMSE , Rainfall, Ramsar
عنوان كنفرانس :
اولين همايش ملي سنجش از دور و GIS محيطي
چكيده فارسي :
There has been an increasing use of predictive spatial distribution of rainfall patterns for planning and regional management decisions. This study focused on three interpolation techniques including ordinary kriging module, linear regression method and inverse distance weighted (IDW) that were used to obtain the reliable spatial distribution of cumulative rainfall parameters in the study area. First, we selected twenty two meteorological stations in and around the study area. Second, rainfall data were analyzed in geographical information systems (GIS) to determine the accuracy of three models. Third, the distribution pattern was also validated by field investigations. Finally, the reliability map of rainfall was produced in GIS software. The results demonstrate that linear regression significantly performed better than inverse distance weighted (IDW) and ordinary kriging model.