{"title":"Geo-spatial analysis of rainfall variability in Khyber Pakhtunkhwa Province, Pakistan","authors":"Muhammad Dawood, S. A. Shirazi","doi":"10.12775/eq.2023.004","DOIUrl":null,"url":null,"abstract":"This paper explores geo-spatial analysis of rainfall variability in Khyber Pakhtunkhwa province, Pakistan. The concern region lies in the north-west of Pakistan and frequently faced the challenges of floods each year. This is an attempt to find out the rainfall trend and fluctuation which is one of the prime indicator of climate change. For this study, the daily rainfall data comprises of almost five decades (1975-2015). For achieving the study objectives, daily, monthly and mean annual rainfall data were analyzed using Mann-Kendall and Standard Deviation combined. Additionally, to further process the rainfall data spatio-statistically, GIS technology has been applied. The analysis specifies that a positive rainfall detected in the meteorological stations of Peshawar, Dir, Chitral, Drosh, Kakul and Saidu, whereas the moderate rainfall trend is detected in Cherat, Bannu, and Balakot. The remaining stations expressed no obvious trend, due to low time period of data.","PeriodicalId":44105,"journal":{"name":"Ecological Questions","volume":" ","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Questions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12775/eq.2023.004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 1
Abstract
This paper explores geo-spatial analysis of rainfall variability in Khyber Pakhtunkhwa province, Pakistan. The concern region lies in the north-west of Pakistan and frequently faced the challenges of floods each year. This is an attempt to find out the rainfall trend and fluctuation which is one of the prime indicator of climate change. For this study, the daily rainfall data comprises of almost five decades (1975-2015). For achieving the study objectives, daily, monthly and mean annual rainfall data were analyzed using Mann-Kendall and Standard Deviation combined. Additionally, to further process the rainfall data spatio-statistically, GIS technology has been applied. The analysis specifies that a positive rainfall detected in the meteorological stations of Peshawar, Dir, Chitral, Drosh, Kakul and Saidu, whereas the moderate rainfall trend is detected in Cherat, Bannu, and Balakot. The remaining stations expressed no obvious trend, due to low time period of data.
期刊介绍：
The fundamental task set by the editors of the journal is to bring together and present a diversity of research connected with ecology. Apart from the traditional ecological research areas, the scope of the journal will embrace more peripheral ecological issues connected with other disciplines of biology. Recognizing the increasing importance of the humanities in ecological research, the editors will strive to give such issues due representation in the journal. We hope to encourage the researchers contributing to the journal to adopt an unconventional approach to solving ecological problems, to go beyond classical, well-established conceptions, and to include methodological and anthropological issues. Such an approach is validated by the intensive development of the sciences bordering on both biology and the humanities that has been observed over recent years.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
