کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4401758 1618614 2015 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Long-term Daily Rainfall Pattern Recognition: Application of Principal Component Analysis
ترجمه فارسی عنوان
شناخت الگوی بارش باران درازمدت: استفاده از تجزیه و تحلیل مولفه اصلی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم محیط زیست بوم شناسی
چکیده انگلیسی

This study aims to identify the daily rainfall pattern over a 20 year period (1994–2013) using data from 89 stations positioned throughout Malaysia by applying Principal Component Analysis (PCA). Six components were retained using PCA with total variance of 53.43%. The first and the second component encompassed regions that show characteristics of Northeast and Southwest monsoons respectively. The fourth component, which covers the northern regions of peninsular Malaysia, shows two peaks in rainfall amount received per year. The third, fifth and sixth components show distinction between regions that mostly cover Sabah and Sarawak.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Environmental Sciences - Volume 30, 2015, Pages 127-132