Detecting drought-prone regions through drought indices
Climate change has led to heightened variability in global rainfall patterns, resulting in greater unpredictability and inconsistency, and it has led to the origin of meteorological drought situation. This has amplified the frequency of droughts or drought-like conditions worldwide. India, being pri...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IWA Publishing
2024-02-01
|
| Series: | Journal of Water and Climate Change |
| Subjects: | |
| Online Access: | http://jwcc.iwaponline.com/content/15/2/806 |
| _version_ | 1797202743686856704 |
|---|---|
| author | Sangita Pawar Mahesh Shelke Nikita Kushare |
| author_facet | Sangita Pawar Mahesh Shelke Nikita Kushare |
| author_sort | Sangita Pawar |
| collection | DOAJ |
| description | Climate change has led to heightened variability in global rainfall patterns, resulting in greater unpredictability and inconsistency, and it has led to the origin of meteorological drought situation. This has amplified the frequency of droughts or drought-like conditions worldwide. India, being primarily agrarian, faces significant challenges due to drought, affecting various regions intermittently. Given the urgency of addressing recurring drought issues, it is crucial to determine specific ‘drought-prone’ areas through the analysis of historical and current meteorological data. It is still a challenge to quantitatively understand where and to what extent the impact of rainfall patterns could lead the drought. Whether any region likely comes under drought-prone area or not? Can we help policy makers to apply their knowledge effectively? It will help to undertake the long-term mitigation measures for drought assessment and management which encompasses early warning, monitoring, and relief toward the good health of the society. The present study is a further step in the same direction in which Akola district in Maharashtra, India has been assessed for drought-prone declaration using two drought measuring indices; seasonality index (SI) and aridity index (AI). For this, the measured meteorological data precipitation, and potential evapotranspiration, from 1952 to 2002 is made available from India Water Portal.
HIGHLIGHTS
In the present study, Akola district in Maharashtra, India has been assessed for drought-prone declaration using the two drought measuring indices; seasonality index (SI) and aridity index (AI).;
For this, the measured meteorological data of precipitation, and potential evapotranspiration of 51 years was made available from India Water Portal.; |
| first_indexed | 2024-04-24T08:08:18Z |
| format | Article |
| id | doaj.art-639b194058a0429b869f8517218da2b0 |
| institution | Directory Open Access Journal |
| issn | 2040-2244 2408-9354 |
| language | English |
| last_indexed | 2024-04-24T08:08:18Z |
| publishDate | 2024-02-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Journal of Water and Climate Change |
| spelling | doaj.art-639b194058a0429b869f8517218da2b02024-04-17T08:46:53ZengIWA PublishingJournal of Water and Climate Change2040-22442408-93542024-02-0115280681310.2166/wcc.2023.590590Detecting drought-prone regions through drought indicesSangita Pawar0Mahesh Shelke1Nikita Kushare2 Civil Engineering, Matoshri College of Engineering and Research Centre, Nashik, India Network Modeler, Urban Drainage Modelling Team, Stantec Resource Net Pvt Ltd, Pune, India Civil Engineering, Matoshri College of Engineering and Research Centre, Nashik, India Climate change has led to heightened variability in global rainfall patterns, resulting in greater unpredictability and inconsistency, and it has led to the origin of meteorological drought situation. This has amplified the frequency of droughts or drought-like conditions worldwide. India, being primarily agrarian, faces significant challenges due to drought, affecting various regions intermittently. Given the urgency of addressing recurring drought issues, it is crucial to determine specific ‘drought-prone’ areas through the analysis of historical and current meteorological data. It is still a challenge to quantitatively understand where and to what extent the impact of rainfall patterns could lead the drought. Whether any region likely comes under drought-prone area or not? Can we help policy makers to apply their knowledge effectively? It will help to undertake the long-term mitigation measures for drought assessment and management which encompasses early warning, monitoring, and relief toward the good health of the society. The present study is a further step in the same direction in which Akola district in Maharashtra, India has been assessed for drought-prone declaration using two drought measuring indices; seasonality index (SI) and aridity index (AI). For this, the measured meteorological data precipitation, and potential evapotranspiration, from 1952 to 2002 is made available from India Water Portal. HIGHLIGHTS In the present study, Akola district in Maharashtra, India has been assessed for drought-prone declaration using the two drought measuring indices; seasonality index (SI) and aridity index (AI).; For this, the measured meteorological data of precipitation, and potential evapotranspiration of 51 years was made available from India Water Portal.;http://jwcc.iwaponline.com/content/15/2/806akolaaridity index (ai)drought assessment and managementseasonality index (si) |
| spellingShingle | Sangita Pawar Mahesh Shelke Nikita Kushare Detecting drought-prone regions through drought indices Journal of Water and Climate Change akola aridity index (ai) drought assessment and management seasonality index (si) |
| title | Detecting drought-prone regions through drought indices |
| title_full | Detecting drought-prone regions through drought indices |
| title_fullStr | Detecting drought-prone regions through drought indices |
| title_full_unstemmed | Detecting drought-prone regions through drought indices |
| title_short | Detecting drought-prone regions through drought indices |
| title_sort | detecting drought prone regions through drought indices |
| topic | akola aridity index (ai) drought assessment and management seasonality index (si) |
| url | http://jwcc.iwaponline.com/content/15/2/806 |
| work_keys_str_mv | AT sangitapawar detectingdroughtproneregionsthroughdroughtindices AT maheshshelke detectingdroughtproneregionsthroughdroughtindices AT nikitakushare detectingdroughtproneregionsthroughdroughtindices |