assessment of the monthly water balance in an arid region using tm model and gis (case study: pishkouh watershed, iran)

Authors

jalal barkhordari

ali asghar semsar yazdi

abstract

monthly discharge is one of the most important factors considered in designs and hydrological works. some watersheds are not equipped with needed hydrometric equipment. in such a case average monthly discharge could be estimated from regional monthly water balance models of representative watersheds. in this study, thornthwaite & mather (tm) model were used in the pishkouh watershed in arid climate of yazd, iran. the water balance was used for computing seasonal and geographical patterns of water availability to facilitate better management of available water resources. the water balance study using the tm model with the help of remote sensing and geografhic information systems (gis) is very helpful in finding out the periods of moisture deficit and moisture surplus for an entire basin. this study indicates that there is an annual deficit of 442.7 mm in the study basin and an annual surplus of 26.4 mm. the pishkouh watershed has a period of moisture surplus from june to august and the remaining months are a period of deficit. generally these mean estimated runoff values fall between the 90% confidence intervals for the measured runoff and quality of the model was satisfactory (qual=2.86). these results indicate that the tm model can be satisfactorily applied to estimate mean monthly stream flow and potential runoff map in the arid regions of central iran, too.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Assessment of the Monthly Water Balance in an Arid Region Using TM Model and GIS (Case Study: Pishkouh Watershed, Iran)

Monthly discharge is one of the most important factors considered in designs and hydrological works. Some watersheds are not equipped with needed hydrometric equipment. In such a case average monthly discharge could be estimated from regional monthly water balance models of representative watersheds. In this study, Thornthwaite & Mather (TM) model were used in the Pishkouh watershed in arid cli...

full text

an investigation about the relationship between insurance lines and economic growth; the case study of iran

مطالعات قبلی بازار بیمه را به صورت کلی در نظر می گرفتند اما در این مطالعه صنعت بیمه به عنوان متغیر مستفل به بیمه های زندگی و غیر زندگی شکسته شده و هم چنین بیمه های زندگی به رشته های مختلف بیمه ای که در بازار بیمه ایران سهم قابل توجهی دارند تقسیم میشود. با استفاده از روشهای اقتصاد سنجی داده های برای دوره های 48-89 از مراکز ملی داده جمع آوری شد سپس با تخمین مدل خود بازگشتی برداری همراه با تعدادی ...

15 صفحه اول

Using Post-Classification Enhancement in Improving the Classification of Land Use/Cover of Arid Region (A Case Study in Pishkouh Watershed, Center of Iran)

Classifying remote sensing imageries to obtain reliable and accurate LandUse/Cover (LUC) information still remains a challenge that depends on many factors suchas complexity of landscape especially in arid region. The aim of this paper is to extractreliable LUC information from Land sat imageries of the Pishkouh watershed of centralarid region, Iran. The classical Maximum Likelihood Classifier ...

full text

Estimating the Available Water in the Watershed using System Dynamics Hydrological Model (Case Study: Ilam Watershed)

Hydrological models provide water managers with the available amount of water in the watershed. In this paper, we firstly developed a system dynamics model to calculate the available amount of water in the watershed. Then, we defined two scenarios one of which is the development scenario describing how land use changes can affect water availability in the watershed. Next, we divided the watersh...

full text

My Resources

Save resource for easier access later


Journal title:
journal of rangeland science

Publisher: islamic azad university, boroujerd branch

ISSN 2008-9996

volume 5

issue 2 2015

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023