Arid
DOI10.3390/w12010228
Identification of Parameters of Evaporation Equations Using an Optimization Technique Based on Pan Evaporation
Ghumman, Abdul Razzaq1; Ghazaw, Yousry Mehmood1,2; Alodah, Abdullah1; Rauf, Ateeq ur3; Shafiquzzaman, Md1; Haider, Husnain1
通讯作者Ghumman, Abdul Razzaq
来源期刊WATER
EISSN2073-4441
出版年2020
卷号12期号:1
英文摘要Countries in arid regions are presently facing challenges in managing their limited water resources. Assessing the evaporation losses from various sources of water is a daunting task that is inevitable for the sustainability of water resource management schemes in these regions. Although several techniques are available for simulating evaporation rates, identifying the parameters of various evaporation equations still needs to be further investigated. The main goal of this research was to develop a framework for determining the parameters influencing the evaporation rate of evaporation pans. Four different equations, including those of Hamon, Penman, Jensen-Haise, and Makkink, were chosen to estimate evaporation from the evaporation pans installed in the Qassim Region of Saudi Arabia. The parameters of these four equations were identified by a state-of-the-art optimization technique, known as the general reduced gradient (GRG). Three types of objective functions used for optimization were tested. Forty-year monitoring records for pan evaporation, temperature, relative humidity, and sunshine hours were collected from the Municipality of Buraydah Al Qassim, for the period of 1976 to 2016. These data were mainly manually recorded at a weather station situated in the Buraydah city. Preliminary data analysis was performed using the Mann-Kendall and Sen's slope tests to study the trends. The first 20-year (1976-1995) data were used for calibrating the equations by employing an optimization technique and the remaining data were used for validation purposes. Four new equations were finally developed and their performance, along with the performance of the four original equations, was evaluated using the Nash and Sutcliffe Efficiency (NSE) and the Mean Biased Error (MBE). The study revealed that among the original equations, the Penman equation performed better than the other three equations. Additionally, among the new equations, the Hamon method performed better than the remaining three equations.
英文关键词Penman equation general reduced gradient arid regions evaporation pans trend objective function
类型Article
语种英语
国家Saudi Arabia ; Egypt ; Pakistan
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000519847200228
WOS关键词REFERENCE EVAPOTRANSPIRATION METHODS ; POTENTIAL EVAPOTRANSPIRATION ; LAKE EVAPORATION ; COEFFICIENT ; RADIATION ; RESERVOIR ; SURFACE ; MODEL ; FLUX
WOS类目Environmental Sciences ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Water Resources
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/315705
作者单位1.Qassim Univ, Coll Engn, Dept Civil Engn, Buraydah Al Qassim 51431, Saudi Arabia;
2.Alexandria Univ, Coll Engn, Dept Irrigat & Hydraul, Alexandria 21544, Egypt;
3.Univ Engn & Technol Peshawar, Dept Civil Engn, Bannu Campus, Bannu 28100, Pakistan
推荐引用方式
GB/T 7714
Ghumman, Abdul Razzaq,Ghazaw, Yousry Mehmood,Alodah, Abdullah,et al. Identification of Parameters of Evaporation Equations Using an Optimization Technique Based on Pan Evaporation[J],2020,12(1).
APA Ghumman, Abdul Razzaq,Ghazaw, Yousry Mehmood,Alodah, Abdullah,Rauf, Ateeq ur,Shafiquzzaman, Md,&Haider, Husnain.(2020).Identification of Parameters of Evaporation Equations Using an Optimization Technique Based on Pan Evaporation.WATER,12(1).
MLA Ghumman, Abdul Razzaq,et al."Identification of Parameters of Evaporation Equations Using an Optimization Technique Based on Pan Evaporation".WATER 12.1(2020).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Ghumman, Abdul Razzaq]的文章
[Ghazaw, Yousry Mehmood]的文章
[Alodah, Abdullah]的文章
百度学术
百度学术中相似的文章
[Ghumman, Abdul Razzaq]的文章
[Ghazaw, Yousry Mehmood]的文章
[Alodah, Abdullah]的文章
必应学术
必应学术中相似的文章
[Ghumman, Abdul Razzaq]的文章
[Ghazaw, Yousry Mehmood]的文章
[Alodah, Abdullah]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。