A semi-analytical model for estimating total suspended matter in highly turbid waters

Yibo Zhang, Kun Shi, Yunlin Zhang, Max ​Moreno Madrinan, Yuan Li, Na Li

Research output: Contribution to journalArticle

Abstract

Total suspended matter (TSM) is related to water quality. High TSM concentrations limit underwater light availability, thus affecting the primary productivity of aquatic ecosystems. Accurate estimation of TSM concentrations in various waters with remote sensing technology is particularly challenging, as the concentrations and optical properties vary greatly among different waters. In this research, a semi-analytical model was established for Hangzhou Bay and Lake Taihu for estimating TSM concentration. The model construction proceeded in two steps. 1) Two indices of the model were calculated by deriving absorption and backscattering coefficients of suspended matter (ap(λ) and bbp(λ)) from the reflectance signal using a semi-analytical method. 2) The two indices were then weighted to derive TSM. The performance of the proposed model was tested using in situ reflectance and Geostationary Ocean Color Imager (GOCI) data. The derived TSM based on in situ reflectance and GOCI images both corresponded well with the in situ TSM with low mean relative error (32%, 41%), root mean square error (20.1 mg/L, 43.1 mg/L), and normalized root mean square error (33%, 55%). The model was further used for the slightly turbid Xin’anjiang Reservoir to demonstrate its applicability to derive ap(λ) and bbp(λ) in other water types. The results indicated that the form Rrs −11) − Rrs −12) could minimize the effect of CDOM absorption in deriving ap(λ) from the total absorption. The model exploited the different relationships between TSM concentration and multiband reflectance, thus improving the performance and application range in deriving TSM.

Original languageEnglish (US)
Pages (from-to)34094-34112
Number of pages19
JournalOptics Express
Volume26
Issue number26
DOIs
StatePublished - Dec 24 2018

Fingerprint

estimating
water
reflectance
root-mean-square errors
oceans
color
water quality
ecosystems
productivity
lakes
availability
remote sensing
backscattering
absorptivity
optical properties
coefficients

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

Cite this

A semi-analytical model for estimating total suspended matter in highly turbid waters. / Zhang, Yibo; Shi, Kun; Zhang, Yunlin; ​Moreno Madrinan, Max; Li, Yuan; Li, Na.

In: Optics Express, Vol. 26, No. 26, 24.12.2018, p. 34094-34112.

Research output: Contribution to journalArticle

Zhang, Yibo ; Shi, Kun ; Zhang, Yunlin ; ​Moreno Madrinan, Max ; Li, Yuan ; Li, Na. / A semi-analytical model for estimating total suspended matter in highly turbid waters. In: Optics Express. 2018 ; Vol. 26, No. 26. pp. 34094-34112.
@article{be3c9f6cbfae4210ab365bdd835d7bf1,
title = "A semi-analytical model for estimating total suspended matter in highly turbid waters",
abstract = "Total suspended matter (TSM) is related to water quality. High TSM concentrations limit underwater light availability, thus affecting the primary productivity of aquatic ecosystems. Accurate estimation of TSM concentrations in various waters with remote sensing technology is particularly challenging, as the concentrations and optical properties vary greatly among different waters. In this research, a semi-analytical model was established for Hangzhou Bay and Lake Taihu for estimating TSM concentration. The model construction proceeded in two steps. 1) Two indices of the model were calculated by deriving absorption and backscattering coefficients of suspended matter (ap(λ) and bbp(λ)) from the reflectance signal using a semi-analytical method. 2) The two indices were then weighted to derive TSM. The performance of the proposed model was tested using in situ reflectance and Geostationary Ocean Color Imager (GOCI) data. The derived TSM based on in situ reflectance and GOCI images both corresponded well with the in situ TSM with low mean relative error (32{\%}, 41{\%}), root mean square error (20.1 mg/L, 43.1 mg/L), and normalized root mean square error (33{\%}, 55{\%}). The model was further used for the slightly turbid Xin’anjiang Reservoir to demonstrate its applicability to derive ap(λ) and bbp(λ) in other water types. The results indicated that the form Rrs −1(λ1) − Rrs −1(λ2) could minimize the effect of CDOM absorption in deriving ap(λ) from the total absorption. The model exploited the different relationships between TSM concentration and multiband reflectance, thus improving the performance and application range in deriving TSM.",
author = "Yibo Zhang and Kun Shi and Yunlin Zhang and {​Moreno Madrinan}, Max and Yuan Li and Na Li",
year = "2018",
month = "12",
day = "24",
doi = "10.1364/OE.26.034094",
language = "English (US)",
volume = "26",
pages = "34094--34112",
journal = "Optics Express",
issn = "1094-4087",
publisher = "The Optical Society",
number = "26",

}

TY - JOUR

T1 - A semi-analytical model for estimating total suspended matter in highly turbid waters

AU - Zhang, Yibo

AU - Shi, Kun

AU - Zhang, Yunlin

AU - ​Moreno Madrinan, Max

AU - Li, Yuan

AU - Li, Na

PY - 2018/12/24

Y1 - 2018/12/24

N2 - Total suspended matter (TSM) is related to water quality. High TSM concentrations limit underwater light availability, thus affecting the primary productivity of aquatic ecosystems. Accurate estimation of TSM concentrations in various waters with remote sensing technology is particularly challenging, as the concentrations and optical properties vary greatly among different waters. In this research, a semi-analytical model was established for Hangzhou Bay and Lake Taihu for estimating TSM concentration. The model construction proceeded in two steps. 1) Two indices of the model were calculated by deriving absorption and backscattering coefficients of suspended matter (ap(λ) and bbp(λ)) from the reflectance signal using a semi-analytical method. 2) The two indices were then weighted to derive TSM. The performance of the proposed model was tested using in situ reflectance and Geostationary Ocean Color Imager (GOCI) data. The derived TSM based on in situ reflectance and GOCI images both corresponded well with the in situ TSM with low mean relative error (32%, 41%), root mean square error (20.1 mg/L, 43.1 mg/L), and normalized root mean square error (33%, 55%). The model was further used for the slightly turbid Xin’anjiang Reservoir to demonstrate its applicability to derive ap(λ) and bbp(λ) in other water types. The results indicated that the form Rrs −1(λ1) − Rrs −1(λ2) could minimize the effect of CDOM absorption in deriving ap(λ) from the total absorption. The model exploited the different relationships between TSM concentration and multiband reflectance, thus improving the performance and application range in deriving TSM.

AB - Total suspended matter (TSM) is related to water quality. High TSM concentrations limit underwater light availability, thus affecting the primary productivity of aquatic ecosystems. Accurate estimation of TSM concentrations in various waters with remote sensing technology is particularly challenging, as the concentrations and optical properties vary greatly among different waters. In this research, a semi-analytical model was established for Hangzhou Bay and Lake Taihu for estimating TSM concentration. The model construction proceeded in two steps. 1) Two indices of the model were calculated by deriving absorption and backscattering coefficients of suspended matter (ap(λ) and bbp(λ)) from the reflectance signal using a semi-analytical method. 2) The two indices were then weighted to derive TSM. The performance of the proposed model was tested using in situ reflectance and Geostationary Ocean Color Imager (GOCI) data. The derived TSM based on in situ reflectance and GOCI images both corresponded well with the in situ TSM with low mean relative error (32%, 41%), root mean square error (20.1 mg/L, 43.1 mg/L), and normalized root mean square error (33%, 55%). The model was further used for the slightly turbid Xin’anjiang Reservoir to demonstrate its applicability to derive ap(λ) and bbp(λ) in other water types. The results indicated that the form Rrs −1(λ1) − Rrs −1(λ2) could minimize the effect of CDOM absorption in deriving ap(λ) from the total absorption. The model exploited the different relationships between TSM concentration and multiband reflectance, thus improving the performance and application range in deriving TSM.

UR - http://www.scopus.com/inward/record.url?scp=85059241392&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85059241392&partnerID=8YFLogxK

U2 - 10.1364/OE.26.034094

DO - 10.1364/OE.26.034094

M3 - Article

C2 - 30650838

AN - SCOPUS:85059241392

VL - 26

SP - 34094

EP - 34112

JO - Optics Express

JF - Optics Express

SN - 1094-4087

IS - 26

ER -