کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6412713 1629935 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Development and application of GIS-based PRISM integration through a plugin approach
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فرآیندهای سطح زمین
پیش نمایش صفحه اول مقاله
Development and application of GIS-based PRISM integration through a plugin approach
چکیده انگلیسی


- A PRISM QGIS plugin was developed on Quantum GIS platform.
- The PRISM QGIS plugin can be used on a personal computer and without requesting professional level of GIS background.
- High resolution daily precipitation data can be generated using the PRISM QGIS plugin with ease.

SummaryA PRISM (Parameter-elevation Regressions on Independent Slopes Model) QGIS-plugin was developed on Quantum GIS platform in this study. This Quantum GIS plugin system provides user-friendly graphic user interfaces (GUIs) so that users can obtain gridded meteorological data of high resolutions (1 km × 1 km). Also, this software is designed to run on a personal computer so that it does not require an internet access or a sophisticated computer system. This module is a user-friendly system that a user can generate PRISM data with ease. The proposed PRISM QGIS-plugin is a hybrid statistical-geographic model system that uses coarse resolution datasets (APHRODITE datasets in this study) with digital elevation data to generate the fine-resolution gridded precipitation. To validate the performance of the software, Prek Thnot River Basin in Kandal, Cambodia is selected for application. Overall statistical analysis shows promising outputs generated by the proposed plugin. Error measures such as RMSE (Root Mean Square Error) and MAPE (Mean Absolute Percentage Error) were used to evaluate the performance of the developed PRISM QGIS-plugin. Evaluation results using RMSE and MAPE were 2.76 mm and 4.2%, respectively. This study suggested that the plugin can be used to generate high resolution precipitation datasets for hydrological and climatological studies at a watershed where observed weather datasets are limited.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Hydrology - Volume 513, 26 May 2014, Pages 58-67
نویسندگان
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