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...

Full description

Bibliographic Details
Main Authors: Worapong Lohpaisankrit, Jessada Techamahasaranont
Format: Article
Language:English
Published: Mahidol University 2021-02-01
Series:Environment and Natural Resources Journal
Subjects:
Online Access:https://ph02.tci-thaijo.org/index.php/ennrj/article/view/241779
id doaj-f73c0d53dc9846fe9ca447a97e2c6118
record_format Article
spelling 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