Evidence map›Paper›PMID 35488078›Full record

ArticleEnvironmental monitoring and assessment2022

Monitoring drought pattern for pre- and post-monsoon seasons in a semi-arid region of western part of India.

Shahfahad, Swapan Talukdar, Rayees Ali, Kim-Anh Nguyen, Mohd Waseem Naikoo, Yuei-An Liou, Abu Reza Md Towfiqul Islam, Javed Mallick, Atiqur Rahman

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

ShahfahadDepartment of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, 110025, India.ORCID http://orcid.org/0000-0001-5868-1062
Swapan TalukdarDepartment of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, 110025, India.ORCID https://orcid.org/0000-0001-6680-9791
Rayees AliDepartment of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, 110025, India.
Kim-Anh NguyenCenter for Space and Remote Sensing Research, National Central University, Zhongda Rd, No. 300, Zhongli District, Taoyuan City, 320317, Taiwan.ORCID http://orcid.org/0000-0002-1000-3112
Mohd Waseem NaikooDepartment of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, 110025, India.ORCID http://orcid.org/0000-0001-5779-9325
Yuei-An LiouCenter for Space and Remote Sensing Research, National Central University, Zhongda Rd, No. 300, Zhongli District, Taoyuan City, 320317, Taiwan. yueian@csrsr.ncu.edu.tw.ORCID http://orcid.org/0000-0002-8100-5529
Abu Reza Md Towfiqul IslamDepartment of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh.ORCID http://orcid.org/0000-0001-5779-1382
Javed MallickDepartment of Civil Engineering, College of Engineering, King Khalid University, Abha, Saudi Arabia.ORCID http://orcid.org/0000-0002-6155-3720
Atiqur RahmanDepartment of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, 110025, India. arahman2@jmi.ac.in.ORCID http://orcid.org/0000-0002-9001-5059

Funding

King Khalid University RGP2/169/43Ministry of Science and Technology, Taiwan 109-2923-E-008-004-MY2Ministry of Science and Technology, Taiwan 109-2923-E-008-004-MY3Ministry of Science and Technology, Taiwan 109-2923-E-008-004-MY4
6 · The paper itself

Abstract

Drought has become a regular phenomenon in the western semi-arid regions of India, where severe drought occurs once in 8-9 years. Therefore, two drought indices, namely temperature condition index (TCI) and vegetation condition index (VCI), were prepared from using Landsat datasets to appraise and monitor of drought pattern for the pre- and post-monsoon seasons between 1996 and 2016 in the Latur district, the north-western part of India. Additionally, the average frequency layers (AFL) of all drought and land use indices were prepared to analyse the correlation between them. The results show a substantial increase in the area under high, very high and severe drought classes both pre- and post-monsoon seasons during the study period. The highest increase was noticed from the high drought class from 2532.45 to 4792.49 sq. km and 1559.84 to 3342.32 sq. km for pre- and post-monsoon season, respectively, based on the TCI and 1269.81 to 1787.77 sq. km in very high drought class for the post-monsoon season using the VCI. The correlation analysis showed that there exists a significant relationship between the land use indices and drought indices. However, the spatial pattern of correlation was heterogeneous for both pre- and post-monsoon seasons. The results of this research can help in the drought management and mitigation planning in the study area. In addition, a similar approach may be applied to analyse drought patterns in other places with similar geographic characteristics as both VCI and TCI are cost-effective and less time-consuming methods and produce reliable outcomes.

Indexed as

Cyclonic StormsDroughtsEnvironmental MonitoringSeasonsTemperatureAverage frequency layer (AFL)Drought patternLand use indicesLatur districtTemperature condition index (TCI)Vegetation condition index (VCI)

Identifiers

PMID35488078

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.