Acid volatile sulphide estimation using spatial sediment covariates in the Eastern Upper Gulf of Thailand: Multiple geostatistical approaches
Summary: Acid volatile sulphide (AVS), one of the most reactive phases in sediments, is a crucial link in explaining a dynamic biogeochemical cycle in a marine ecosystem. Research gaps exist in describing the spatial variation of AVS and interconnections with sediment covariates in the Eastern Upper...
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doaj-420ed5a39f194b959b303b674f359cc32020-11-25T01:30:38ZengElsevierOceanologia0078-32342018-10-01604478487Acid volatile sulphide estimation using spatial sediment covariates in the Eastern Upper Gulf of Thailand: Multiple geostatistical approachesPasicha Chaikaew0Penjai Sompongchaiyakul1Department of Environmental Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand; Center of Excellence on Hazardous Substance Management, Chulalongkorn University, Bangkok, Thailand; Corresponding author at: Department of Environmental Science, Faculty of Science, Chulalongkorn University, 254 Payathai Rd., Wang Mai, Pathumwan, Bangkok 10330, Thailand. Tel.: +66 2 218 5191; fax: +66 2 218 5180.Department of Marine Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand; Center of Excellence on Hazardous Substance Management, Chulalongkorn University, Bangkok, ThailandSummary: Acid volatile sulphide (AVS), one of the most reactive phases in sediments, is a crucial link in explaining a dynamic biogeochemical cycle in a marine ecosystem. Research gaps exist in describing the spatial variation of AVS and interconnections with sediment covariates in the Eastern Upper Gulf of Thailand. Measurements of AVS and auxiliary parameters followed the standard protocol. A comparison of ordinary kriging (OK), cokriging (CK), and regression kriging (RK) performance was evaluated based on the mean absolute error (MAE) and root mean square error (RMSE). The concentrations of AVS ranged from 0.003 to 0.349 mg g−1 sediment dry weight. Most parameters contained short range spatial dependency except for oxidation–reduction potential (ORP) and pH. The AVS tended to be both linearly and non-linearly related to ORP and readily oxidisable organic matter (ROM). The RK model, using inputs from the tree-based model, was the most robust of the three kriging methods. It is suggested that nonlinear interactions should be taken into account when predicting AVS concentration, and it is expected that this will further increase the model accuracy. This study helps establish a platform for ecological health and sediment quality guidelines. Keywords: Spatial estimation, Acid volatile sulphide, Sediment, Geostatistical analysis, Gulf of Thailandhttp://www.sciencedirect.com/science/article/pii/S0078323418300575 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Pasicha Chaikaew Penjai Sompongchaiyakul |
spellingShingle |
Pasicha Chaikaew Penjai Sompongchaiyakul Acid volatile sulphide estimation using spatial sediment covariates in the Eastern Upper Gulf of Thailand: Multiple geostatistical approaches Oceanologia |
author_facet |
Pasicha Chaikaew Penjai Sompongchaiyakul |
author_sort |
Pasicha Chaikaew |
title |
Acid volatile sulphide estimation using spatial sediment covariates in the Eastern Upper Gulf of Thailand: Multiple geostatistical approaches |
title_short |
Acid volatile sulphide estimation using spatial sediment covariates in the Eastern Upper Gulf of Thailand: Multiple geostatistical approaches |
title_full |
Acid volatile sulphide estimation using spatial sediment covariates in the Eastern Upper Gulf of Thailand: Multiple geostatistical approaches |
title_fullStr |
Acid volatile sulphide estimation using spatial sediment covariates in the Eastern Upper Gulf of Thailand: Multiple geostatistical approaches |
title_full_unstemmed |
Acid volatile sulphide estimation using spatial sediment covariates in the Eastern Upper Gulf of Thailand: Multiple geostatistical approaches |
title_sort |
acid volatile sulphide estimation using spatial sediment covariates in the eastern upper gulf of thailand: multiple geostatistical approaches |
publisher |
Elsevier |
series |
Oceanologia |
issn |
0078-3234 |
publishDate |
2018-10-01 |
description |
Summary: Acid volatile sulphide (AVS), one of the most reactive phases in sediments, is a crucial link in explaining a dynamic biogeochemical cycle in a marine ecosystem. Research gaps exist in describing the spatial variation of AVS and interconnections with sediment covariates in the Eastern Upper Gulf of Thailand. Measurements of AVS and auxiliary parameters followed the standard protocol. A comparison of ordinary kriging (OK), cokriging (CK), and regression kriging (RK) performance was evaluated based on the mean absolute error (MAE) and root mean square error (RMSE). The concentrations of AVS ranged from 0.003 to 0.349 mg g−1 sediment dry weight. Most parameters contained short range spatial dependency except for oxidation–reduction potential (ORP) and pH. The AVS tended to be both linearly and non-linearly related to ORP and readily oxidisable organic matter (ROM). The RK model, using inputs from the tree-based model, was the most robust of the three kriging methods. It is suggested that nonlinear interactions should be taken into account when predicting AVS concentration, and it is expected that this will further increase the model accuracy. This study helps establish a platform for ecological health and sediment quality guidelines. Keywords: Spatial estimation, Acid volatile sulphide, Sediment, Geostatistical analysis, Gulf of Thailand |
url |
http://www.sciencedirect.com/science/article/pii/S0078323418300575 |
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