The week's pick
Reseach Article
TRMM Mapping using Different Models in Iraq
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 96 - Number 14 |
| Year of Publication: 2014 |
| Authors: Hussain Zaydan Ali, Salih M. Al-qaraawi, Ghusoon Eidan Arab |
10.5120/16865-6753
|
Hussain Zaydan Ali, Salih M. Al-qaraawi, Ghusoon Eidan Arab . TRMM Mapping using Different Models in Iraq. International Journal of Computer Applications. 96, 14 ( June 2014), 33-37. DOI=10.5120/16865-6753
Abstract
All the necessary water for life on earth originates from rain. For this reason, it is important to understand the spatial and temporal patterns of rainfall and their variability in order to gain knowledge about the balance of water dynamics for water resources management, and to plan strategies for solving many problems such as predicting natural hazards caused by heavy rain. The principal objectives of this paper are to validate an optimum interpolation method for the spatial analysis of monthly precipitation in Iraq. The root-mean-square error (RMSE) of the verification stations (the error of the predicted value at the station location from the observed value at the station). The mean error (ME) was used to detect any bias in the estimates. In this paper, we used the kriging interpolation to estimate the rainfall distribution in Iraq. Geostatistical interpolation techniques were implemented in a Geographic Information System (GIS) to study the spatial variability of monthly TRMM in Iraq using different models (Spherical, Exponential and Gaussian).
References
- Y. Feng, X. Lei, and Y. Lu, 2004, "Interpretation of Pixel-missing Patch of Remote Sensing Image with Kriging Interpolation of Spatial Statistics," Journal of Remote Sensing, vol. 8(4), pp. 317-322.
- Jinyan Zhan, Nana Shi, Xiangzheng Deng, Hongbo Su, Dongsheng Qiu, 2011, "Interpolating The information of Site-Based Soil Organic Carbon Stocks Into Surface: A Case Study in The North China Plain",Transaction in IEEE, 978-1-4244-2808.
- Environment System Research Institute documentation, 2003, "Using ArcGIS Geostatistical Analyst", USA.
- Hussain Ali, Salih M. Al-Qaraawi, Ghusoon Arab, 2014,"Optimal Interactive Rainfall Maps (Iraq) in Client Side and Google Earth", International Journal of Computers and Technology, vol. 13, no. 1.
- Ragab Elsayed Rabeiy,2010,"Spatial Modeling of Heavy Metal Pollution of Forest Soils in a Historical Mining Area Using Geostatistical Methods and Air Dispersion Modeling", Doctoral Thesis, Clausthal University of Technology ,Germany.
- Environment System Research Institute, 2008, help documentation of Geostatistical Analyst, USA.
Index Terms
Keywords