The performance of dry spell-based index to predict agricultural drought. Issue 1 (1st December 2022)
- Record Type:
- Journal Article
- Title:
- The performance of dry spell-based index to predict agricultural drought. Issue 1 (1st December 2022)
- Main Title:
- The performance of dry spell-based index to predict agricultural drought
- Authors:
- Ferijal, T
Subhan, - Abstract:
- Abstract: This study was intended to analyze dry spell-based drought index (SDI) performance in predicting agricultural drought. Agricultural drought was estimated using soil moisture deficit index (SMDI) over a monthly time-scale. The deficit in soil moisture was calculated using soil water content in soil profile predicted by SWAT model. The result indicated that SDI has poor performance in predicting agricultural drought index. However, the outcome might be explained by the low temporal resolution of soil moisture data.
- Is Part Of:
- IOP conference series. Volume 1116:Issue 1(2022)
- Journal:
- IOP conference series
- Issue:
- Volume 1116:Issue 1(2022)
- Issue Display:
- Volume 1116, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 1116
- Issue:
- 1
- Issue Sort Value:
- 2022-1116-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-12-01
- Subjects:
- Earth sciences -- Periodicals
Environmental sciences -- Congresses
Environmental sciences -- Periodicals
550.5 - Journal URLs:
- http://iopscience.iop.org/1755-1315 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1755-1315/1116/1/012031 ↗
- Languages:
- English
- ISSNs:
- 1755-1307
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4565.243000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24861.xml