Analysis of Precipitation and Streamflow Data for Drought Assessment in an Unregulated Watershed
Predicting drought occurrence accurately still remains a challenging task. To fill research gaps, this study identified and analysed meteorological and hydrological droughts using the Standardized Precipitation Index (SPI) and Streamflow Drought Index (SDI), respectively, in the upper Lam Pao wat...
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Mahidol University
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doaj-f73c0d53dc9846fe9ca447a97e2c61182021-02-16T03:47:32ZengMahidol UniversityEnvironment and Natural Resources Journal1686-54562408-23842021-02-0119211212110.32526/ennrj/19/2020202Analysis of Precipitation and Streamflow Data for Drought Assessment in an Unregulated WatershedWorapong Lohpaisankrit0Jessada Techamahasaranont1Faculty of Engineering, Rajamangala University of Technology Isan, Khon Kaen, ThailandFaculty of Natural Resources and Agro-Industry, Kasetsart University, Sakon Nakhon, ThailandPredicting drought occurrence accurately still remains a challenging task. To fill research gaps, this study identified and analysed meteorological and hydrological droughts using the Standardized Precipitation Index (SPI) and Streamflow Drought Index (SDI), respectively, in the upper Lam Pao watershed in Thailand. The study also focused on investigating the relationships between both droughts. The SPI and SDI were computed based on observed long-term precipitation and streamflow data during the period of 1988-2017. The drought analysis was carried out by using the R packages. The location, period and severity level of drought events were graphically presented. On the basis of trend analysis, the SPI series showed slightly increasing trends, whereas no trend was found for the SDI series. This implied that the hydrological drought was influenced by not only precipitation but also other factors. The key findings indicated that there was a positive relationship between meteorological and hydrological droughts. In addition, there was a specific lag time, which may depend on physical characteristics of a basin, in drought propagating from meteorological drought to hydrological drought. Overall, the drought indices can help to predict hydrological drought events, which could be valuable information for drought monitoring and early warning systems.https://ph02.tci-thaijo.org/index.php/ennrj/article/view/241779drought indexcross-correlationhydrological droughttrend analysisstandardized precipitation index (spi)upper lam pao watershed |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Worapong Lohpaisankrit Jessada Techamahasaranont |
spellingShingle |
Worapong Lohpaisankrit Jessada Techamahasaranont Analysis of Precipitation and Streamflow Data for Drought Assessment in an Unregulated Watershed Environment and Natural Resources Journal drought index cross-correlation hydrological drought trend analysis standardized precipitation index (spi) upper lam pao watershed |
author_facet |
Worapong Lohpaisankrit Jessada Techamahasaranont |
author_sort |
Worapong Lohpaisankrit |
title |
Analysis of Precipitation and Streamflow Data for Drought Assessment in an Unregulated Watershed |
title_short |
Analysis of Precipitation and Streamflow Data for Drought Assessment in an Unregulated Watershed |
title_full |
Analysis of Precipitation and Streamflow Data for Drought Assessment in an Unregulated Watershed |
title_fullStr |
Analysis of Precipitation and Streamflow Data for Drought Assessment in an Unregulated Watershed |
title_full_unstemmed |
Analysis of Precipitation and Streamflow Data for Drought Assessment in an Unregulated Watershed |
title_sort |
analysis of precipitation and streamflow data for drought assessment in an unregulated watershed |
publisher |
Mahidol University |
series |
Environment and Natural Resources Journal |
issn |
1686-5456 2408-2384 |
publishDate |
2021-02-01 |
description |
Predicting drought occurrence accurately still remains a challenging task. To
fill research gaps, this study identified and analysed meteorological and
hydrological droughts using the Standardized Precipitation Index (SPI) and
Streamflow Drought Index (SDI), respectively, in the upper Lam Pao watershed
in Thailand. The study also focused on investigating the relationships between
both droughts. The SPI and SDI were computed based on observed long-term
precipitation and streamflow data during the period of 1988-2017. The drought
analysis was carried out by using the R packages. The location, period and
severity level of drought events were graphically presented. On the basis of
trend analysis, the SPI series showed slightly increasing trends, whereas no
trend was found for the SDI series. This implied that the hydrological drought
was influenced by not only precipitation but also other factors. The key findings
indicated that there was a positive relationship between meteorological and
hydrological droughts. In addition, there was a specific lag time, which may
depend on physical characteristics of a basin, in drought propagating from
meteorological drought to hydrological drought. Overall, the drought indices
can help to predict hydrological drought events, which could be valuable
information for drought monitoring and early warning systems. |
topic |
drought index cross-correlation hydrological drought trend analysis standardized precipitation index (spi) upper lam pao watershed |
url |
https://ph02.tci-thaijo.org/index.php/ennrj/article/view/241779 |
work_keys_str_mv |
AT woraponglohpaisankrit analysisofprecipitationandstreamflowdatafordroughtassessmentinanunregulatedwatershed AT jessadatechamahasaranont analysisofprecipitationandstreamflowdatafordroughtassessmentinanunregulatedwatershed |
_version_ |
1724268575295799296 |