Presenting a soil moisture-based drought index derived from Global Land Data Assimilation System (GLDAS-SMDI) in Central Iran

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

NIAZI YAGHOUB; TALEBI ALI; MOKHTARI MOHAMMAD HOSSEIN; VAZIFEDOUST MAJID

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: GEOGRAPHICAL DATA Year:2018 | Volume:27 | Issue:107 Page(s): 25-26

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

529

Download:

359

Cites:

Information Journal Paper

Title

Presenting a soil moisture-based drought index derived from Global Land Data Assimilation System (GLDAS-SMDI) in Central Iran

Author(s)

NIAZI YAGHOUB | TALEBI ALI | MOKHTARI MOHAMMAD HOSSEIN | VAZIFEDOUST MAJID | Issue Writer Certificate

Keywords

Dro ught MonitoringQ2

Soil MoistureQ2

Global Land Data Assimilation SystemQ1

GLDAS-SMDI indexQ1

Central IranQ1

Abstract

Introduction: Droughts are long-term phenomena that affect vast areas, causing significant economic damages andlosses in human lives. Droughts are the most costly natural disaster in the world, and affect more people than any other natural disaster. Therefore, it is important to develop early warning systems to mitigate the effects of drought. The easiest way to monitor drought is to use drought indices that calculate drought severity, duration and actual range for each drought type. Several drought indices have been developed based on different variables and parametersto assess drought types. Soil Moisture is a significant hydrological variable related to flood and drought and plays an important role in the process of converting precipitation into runoff andstorage of groundwater. Due to the difficulty, cost and time required for the field measurements of Soil Moisture, this parameter has not been widely used in drought indexes. Recent developments of global databases, based on satellite estimates, as well as rapid progress in hardware and software for modeling complex processes governing the water balance at the ground surface, have led to many efforts to deploy this new tool to reduce the limitations in this field. In this research, a new drought index based on Soil Moisture, derived from the land surface models of Global Land Data Assimilation System (GLDAS-SMDI) has been provided to monitor the evolution of drought severity. Thisindex is based on the fact that Soil Moisture is a determinant factor in most of complex environmental processes and has an important role in the occurrence of drought...

Cites

No record.

References

No record.

Cite

APA: Copy

NIAZI, YAGHOUB, TALEBI, ALI, MOKHTARI, MOHAMMAD HOSSEIN, & VAZIFEDOUST, MAJID. (2018). Presenting a soil moisture-based drought index derived from Global Land Data Assimilation System (GLDAS-SMDI) in Central Iran. GEOGRAPHICAL DATA, 27(107 ), 25-26. SID. https://sid.ir/paper/397517/en

Vancouver: Copy

NIAZI YAGHOUB, TALEBI ALI, MOKHTARI MOHAMMAD HOSSEIN, VAZIFEDOUST MAJID. Presenting a soil moisture-based drought index derived from Global Land Data Assimilation System (GLDAS-SMDI) in Central Iran. GEOGRAPHICAL DATA[Internet]. 2018;27(107 ):25-26. Available from: https://sid.ir/paper/397517/en

IEEE: Copy

YAGHOUB NIAZI, ALI TALEBI, MOHAMMAD HOSSEIN MOKHTARI, and MAJID VAZIFEDOUST, “Presenting a soil moisture-based drought index derived from Global Land Data Assimilation System (GLDAS-SMDI) in Central Iran,” GEOGRAPHICAL DATA, vol. 27, no. 107 , pp. 25–26, 2018, [Online]. Available: https://sid.ir/paper/397517/en

Related Journal Papers