干旱区生态环境知识资源中心(Arid): The climate change implication on Jordan: A case study using GIS and Artificial Neural Networks for weather forecasting

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DOI	10.1016/j.jtusci.2013.04.001
	The climate change implication on Jordan: A case study using GIS and Artificial Neural Networks for weather forecasting
	Matouq, Mohammed; El-Hasan, Tayel; Al-Bilbisi, Hussam; Abdelhadi, Monther; Hindiyeh, Muna; Eslamian, Saeid; Duheisat, Salman
通讯作者	El-Hasan, T
来源期刊	JOURNAL OF TAIBAH UNIVERSITY FOR SCIENCE
ISSN	1658-3655
出版年	2013
卷号	7 期号:2 页码:44-55
英文摘要	The meteorological data such as rainfall and temperatures, covering the period between 1979 and 2008, has been analyzed. The data were simulated using the geographic information systems (GIS) and computer software "MATLAB". The output results were converted into geographical maps. Three parameters were analyzed: annual mean maximum temperature, annual mean minimum temperature, and mean annual rainfall during the period (1979-2008). The analyzed results were also used to forecast for the period (2009-2018). The results show that no change has occurred in the mean annual rainfall in both northern and eastern part, while it has increased in the central region of Jordan. Although local temperatures fluctuate naturally, but over the past 50 years, the mean local temperature in Jordan has increased rapidly since 1992 by 1.5-2 degrees C. It is noticed from the data that the change in both maximum and minimum temperatures has clearly begun after 1991, in which this phenomenon may give an indication of changing point in climate of Jordan. As for prediction is concern, the show continuous increase in both maximum and minimum temperatures in the eastern, northern and southern regions of Jordan. The application of GIS in this study was successfully used to analyze the data and to produce 'easy to use' maps to understand the impact of global warming. This application is the first in terms of its applicability in Jordan. The authors believe that the results of this study will be of great help to the decision makers in the field of environment in Jordan. (C) 2013 Taibah University. Production and hosting by Elsevier B.V. All rights reserved.
英文关键词	Climate change GIS Jordan Arid region Artificial Neural Network (ANN)
类型	Article
语种	英语
开放获取类型	Other Gold
收录类别	ESCI
WOS记录号	WOS:000215631800002
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/330334
作者单位	[Matouq, Mohammed] Balqa Appl Univ, Fac Engn Technol, POB 4486, Amman 1131, Jordan; [El-Hasan, Tayel] Taibah Univ, Dept Geol, Al Madinah Al Munawarah, Saudi Arabia; [Al-Bilbisi, Hussam] Univ Jordan, Fac Art, Amman, Jordan; [Abdelhadi, Monther] Ahliyya Amman Univ, Fac Engn, Amman, Jordan; [Hindiyeh, Muna] Secretary Gen Assistant Labs Water Qual Affairs, Water Author Jordan, Amman, Jordan; [Eslamian, Saeid] Isfahan Univ Technol, Collage Agr, Esfahan, Iran; [Duheisat, Salman] Balqa Appl Univ, Fac Engn Technol, Amman, Jordan
推荐引用方式 GB/T 7714	Matouq, Mohammed,El-Hasan, Tayel,Al-Bilbisi, Hussam,et al. The climate change implication on Jordan: A case study using GIS and Artificial Neural Networks for weather forecasting[J],2013,7(2):44-55.
APA	Matouq, Mohammed.,El-Hasan, Tayel.,Al-Bilbisi, Hussam.,Abdelhadi, Monther.,Hindiyeh, Muna.,...&Duheisat, Salman.(2013).The climate change implication on Jordan: A case study using GIS and Artificial Neural Networks for weather forecasting.JOURNAL OF TAIBAH UNIVERSITY FOR SCIENCE,7(2),44-55.
MLA	Matouq, Mohammed,et al."The climate change implication on Jordan: A case study using GIS and Artificial Neural Networks for weather forecasting".JOURNAL OF TAIBAH UNIVERSITY FOR SCIENCE 7.2(2013):44-55.