globalchange  > 气候变化事实与影响
DOI: 10.5194/hess-20-4031-2016
Scopus记录号: 2-s2.0-84990847724
论文题名:
Predicting the salt water intrusion in the Shatt al-Arab estuary using an analytical approach
作者: Abdullah A; D; , Gisen J; I; A; , Van Der Zaag P; , Savenije H; H; G; , Karim U; F; A; , Masih I; , Popescu I
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2016
卷: 20, 期:10
起始页码: 4031
结束页码: 4042
语种: 英语
Scopus关键词: Estuaries ; Forecasting ; Mercury (metal) ; Rivers ; Salinity measurement ; Seawater ; Water quality ; Analytical approach ; Geometric characteristics ; Hydrologic simulations ; Predictive modeling ; River discharge ; Salinity distributions ; Seasonal variability ; Water abstraction ; Salt water intrusion ; analytical method ; discharge ; hydrological modeling ; inland sea ; performance assessment ; saline intrusion ; salinity ; seasonal variation ; vertical mixing ; water quality ; Shatt al Arab Delta
英文摘要: Longitudinal and vertical salinity measurements are used in this study to predict the extent of inland seawater intrusion in a deltaic river estuary. A predictive model is constructed to apply to the specific tidal, seasonal, and discharge variability and geometric characteristics of the Shatt al-Arab River (SAR) situated along the border of Iraq and Iran. Reliable hydrologic simulation of salinity dynamics and seawater intrusion was lacking prior to this study. Tidal excursion is simulated analytically using a 1-D analytical salt intrusion model with recently updated equations for tidal mixing. The model was applied under different river conditions to analyse the seasonal variability of salinity distribution during wet and dry periods near spring and neap tides between March 2014 and January 2015. A good fit is possible with this model between computed and observed salinity distribution. Estimating water abstractions along the estuary improves the performance of the equations, especially at low flows and with a well-calibrated dispersion-excursion relationship of the updated equations. Salt intrusion lengths given the current data varied from 38 to 65g km during the year of observation. With extremely low river discharge, which is highly likely there, we predict a much further distance of 92g km. These new predictions demonstrate that the SAR, already plagued with extreme salinity, may face deteriorating water quality levels in the near future, requiring prompt interventions. © 2016 The Author(s).
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78718
Appears in Collections:气候变化事实与影响

Files in This Item:

There are no files associated with this item.


作者单位: Department of Integrated Water System and Governance, UNESCO, Institute for Water Education, Westvest 7, Delft, Netherlands; Water Resources Section, Delft University of Technology, Delft, Netherlands; Department of Civil Engineering, Basra University, Basra, Iraq; Centre for Earth Resources Research and Management, University Malaysia Pahang, Lebuhraya Tun Razak, Kuantan, Pahang, Malaysia; Faculty of Civil Engineering and Earth Resources, University Malaysia Pahang, Lebuhraya Tun Razak, Kuantan, Pahang, Malaysia; Department of Civil Engineering, University of Twente, P.O. Box 217, Enschede, Netherlands; Faculty of Civil Engineering, Politehnica University of Timisoara, Timisoara, Romania

Recommended Citation:
Abdullah A,D,, Gisen J,et al. Predicting the salt water intrusion in the Shatt al-Arab estuary using an analytical approach[J]. Hydrology and Earth System Sciences,2016-01-01,20(10)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Abdullah A]'s Articles
[D]'s Articles
[, Gisen J]'s Articles
百度学术
Similar articles in Baidu Scholar
[Abdullah A]'s Articles
[D]'s Articles
[, Gisen J]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Abdullah A]‘s Articles
[D]‘s Articles
[, Gisen J]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.