Prediction of Stable Isotopes (18O and 2H) in the Bangkok Metropolitan Area’s Precipitation Using an Artificial Neural Network
The role of local (wind speed, potential evaporation, vapor pressure, air temperature, and precipitation amount) and regional parameters (teleconnection indices such as Indian Ocean Dipole (IOD), Bivariate ENSO index (BEST), North Atlantic Oscillation (NAO), Southern Oscillation index (SOI), and Qua...
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ftmdpi:oai:mdpi.com:/2673-4931/19/1/32/ 2023-08-20T04:08:21+02:00 Prediction of Stable Isotopes (18O and 2H) in the Bangkok Metropolitan Area’s Precipitation Using an Artificial Neural Network Mojtaba Heydarizad Nathsuda Pumijumnong 2022-07-14 application/pdf https://doi.org/10.3390/ecas2022-12792 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/ecas2022-12792 https://creativecommons.org/licenses/by/4.0/ Environmental Sciences Proceedings; Volume 19; Issue 1; Pages: 32 precipitation Bangkok stable isotopes prediction artificial neural network Text 2022 ftmdpi https://doi.org/10.3390/ecas2022-12792 2023-08-01T06:19:31Z The role of local (wind speed, potential evaporation, vapor pressure, air temperature, and precipitation amount) and regional parameters (teleconnection indices such as Indian Ocean Dipole (IOD), Bivariate ENSO index (BEST), North Atlantic Oscillation (NAO), Southern Oscillation index (SOI), and Quasi Biennial Oscillation (QBO) on the stable isotope content in the precipitation in Bangkok was investigated. First, a simple artificial neural network (ANN) and a Deep Learning Neural Network (DNN) were used to predict the stable isotope content in precipitation. Second, studying the fractional importance of various parameters on the stable isotope content of precipitation demonstrated that among the local and regional parameters, precipitation amount and potential evaporation (local) and the BEST teleconnection index (regional) had dominant roles in controlling the stable isotope content of the precipitation. Text North Atlantic North Atlantic oscillation MDPI Open Access Publishing Indian Soi ENVELOPE(30.704,30.704,66.481,66.481) ECAS 2022 32 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
precipitation Bangkok stable isotopes prediction artificial neural network |
spellingShingle |
precipitation Bangkok stable isotopes prediction artificial neural network Mojtaba Heydarizad Nathsuda Pumijumnong Prediction of Stable Isotopes (18O and 2H) in the Bangkok Metropolitan Area’s Precipitation Using an Artificial Neural Network |
topic_facet |
precipitation Bangkok stable isotopes prediction artificial neural network |
description |
The role of local (wind speed, potential evaporation, vapor pressure, air temperature, and precipitation amount) and regional parameters (teleconnection indices such as Indian Ocean Dipole (IOD), Bivariate ENSO index (BEST), North Atlantic Oscillation (NAO), Southern Oscillation index (SOI), and Quasi Biennial Oscillation (QBO) on the stable isotope content in the precipitation in Bangkok was investigated. First, a simple artificial neural network (ANN) and a Deep Learning Neural Network (DNN) were used to predict the stable isotope content in precipitation. Second, studying the fractional importance of various parameters on the stable isotope content of precipitation demonstrated that among the local and regional parameters, precipitation amount and potential evaporation (local) and the BEST teleconnection index (regional) had dominant roles in controlling the stable isotope content of the precipitation. |
format |
Text |
author |
Mojtaba Heydarizad Nathsuda Pumijumnong |
author_facet |
Mojtaba Heydarizad Nathsuda Pumijumnong |
author_sort |
Mojtaba Heydarizad |
title |
Prediction of Stable Isotopes (18O and 2H) in the Bangkok Metropolitan Area’s Precipitation Using an Artificial Neural Network |
title_short |
Prediction of Stable Isotopes (18O and 2H) in the Bangkok Metropolitan Area’s Precipitation Using an Artificial Neural Network |
title_full |
Prediction of Stable Isotopes (18O and 2H) in the Bangkok Metropolitan Area’s Precipitation Using an Artificial Neural Network |
title_fullStr |
Prediction of Stable Isotopes (18O and 2H) in the Bangkok Metropolitan Area’s Precipitation Using an Artificial Neural Network |
title_full_unstemmed |
Prediction of Stable Isotopes (18O and 2H) in the Bangkok Metropolitan Area’s Precipitation Using an Artificial Neural Network |
title_sort |
prediction of stable isotopes (18o and 2h) in the bangkok metropolitan area’s precipitation using an artificial neural network |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
url |
https://doi.org/10.3390/ecas2022-12792 |
long_lat |
ENVELOPE(30.704,30.704,66.481,66.481) |
geographic |
Indian Soi |
geographic_facet |
Indian Soi |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_source |
Environmental Sciences Proceedings; Volume 19; Issue 1; Pages: 32 |
op_relation |
https://dx.doi.org/10.3390/ecas2022-12792 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/ecas2022-12792 |
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ECAS 2022 |
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32 |
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1774720558855880704 |