Prediction of salinity intrusion in Arvand River
Publish Year: 1383
Type: Conference paper
Language: English
View: 2,662
This Paper With 8 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
Export:
Document National Code:
HDRS_51
Index date: 7 December 2005
Prediction of salinity intrusion in Arvand River abstract
Damming of rivers has impact on these natural waters and their environment. For example, integrity of tidal rivers depends on the balance between freshwater and oceanic seawater and reducing the freshwater input and disturbs this balance. Prolonged low-flow condition allows salinity intrusion in the upstream which deteriorates both the surface water quality and even the ground water quality. This study deals with the salt intrusion prediction in the Arvand estuary in the south west of Iran. The hydrological conditions in the Arvand are continuously changing. A steady reduction of the discharge of the rivers from which the Arvand River receives its water is caused by a consecutive development of irrigation and industrial schemes along the river courses, which demands construction of dams.A laterally averaged, two-dimensional hydrodynamics-water quality model called CE-QUAL-W2, was used for simulation of flow and salinity intrusion in this river. Recorded tidal levels of gauging stations inAbadan and Ghosbehwere used for calibrating the hydrodynamic module. The best fit of the recorded and computed water levels curves at Ghosbeh was obtained with a Manning friction factor of 0.02. After calibration of the model the maximum length of salt wedge intrusion was predicted both by numerical simulation and three empirical equations. It was found that most of the existing predictive models are limited to special conditions and are not valid for Arvand River. However, the method which was described by Savenije (1993)performs the best.
Prediction of salinity intrusion in Arvand River authors
B. Sherkati-Azin
Dept. of Civil Eng., Iran Uni. Of Science and Technology, Tehran, Iran
A. Etemad-Shahidi
Dept. of Civil Eng., Iran Uni. Of Science and Technology, Tehran, Iran
E. Jabbari
Dept. of Civil Eng., Iran Uni. Of Science and Technology, Tehran, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :