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...

Full description

Bibliographic Details
Main Authors: Pasicha Chaikaew, Penjai Sompongchaiyakul
Format: Article
Language:English
Published: Elsevier 2018-10-01
Series:Oceanologia
Online Access:http://www.sciencedirect.com/science/article/pii/S0078323418300575
id doaj-420ed5a39f194b959b303b674f359cc3
record_format Article
spelling 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
work_keys_str_mv AT pasichachaikaew acidvolatilesulphideestimationusingspatialsedimentcovariatesintheeasternuppergulfofthailandmultiplegeostatisticalapproaches
AT penjaisompongchaiyakul acidvolatilesulphideestimationusingspatialsedimentcovariatesintheeasternuppergulfofthailandmultiplegeostatisticalapproaches
_version_ 1725090933925478400