Influence of hypersaturated dissolved oxygenated water on the elution of hydrogen sulfide and methane from sediment in the dredged area in polyhaline Lake Nakaumi

Sugahara, Shogo; Kamiya, Hiroshi; Suyama, Yoko; Senga, Yukiko; Ayukawa, Kazuhiro; Okumura, Minoru; Seike, Yasushi

doi:10.1007/s11355-014-0270-y

Cited by 8 publications

(5 citation statements)

References 54 publications

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“…Figure 9b shows the RMSE variation between R rs (810) − [R rs −1 (λ 9 ) + R rs (840)]/2 and measured turbidity when λ 9 is the 400-900-nm range and R rs (810) − [R rs (770) + R rs (λ 10 )]/2 and measured turbidity when λ 10 is in the 400-900-nm range. For λ 9 , we obtained a band with relatively low RMSE (RMSE = 300 NTU or less) between about 730 nm and 770 nm. In contrast, the relatively low RMSE (RMSE = 300 NTU or less) band for λ 10 is between about 720 and 740 nm.…”

Section: Turbidity Algorithmmentioning

confidence: 94%

“…To protect these resources, water quality monitoring has been conducted at fixed points for a long time [3][4][5][6][7]. However, recent years have seen abnormal phenomena in water bodies such as cyanobacteria bloom, red tide, dysoxic bottom water and the sudden occurrence of seagrass [8,9]. We also focus on a second research site in this study, the Vaal Dam Reservoir (VDR) in South Africa, which is among the largest reservoirs in South Africa.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Unified Algorithms for Remote Sensing of Chlorophyll-a and Turbidity in Lake Shinji and Lake Nakaumi of Japan and the Vaal Dam Reservoir of South Africa under Eutrophic and Ultra-Turbid Conditions

Sakuno

Yajima

Yoshioka

et al. 2018

Water

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Abstract:We evaluated unified algorithms for remote sensing of chlorophyll-a (Chla) and turbidity in eutrophic and ultra-turbid waters such as Japan's Lake Shinji and Lake Nakaumi (SJNU) and the Vaal Dam Reservoir (VDR) in South Africa. To realize this objective, we used 38 remote sensing reflectance (R rs ), Chla and turbidity datasets collected in these waters between July 2016 and March 2017. As a result, we clarified the following items. As a unified Chla model, we obtained strong correlation (R 2 = 0.7, RMSE = 2 mg m −3 ) using a two-band model (2-BM) and three-band model (3-BM), with R rs (687)/R rs (672) and [R rs −1 (687) − R rs −1 (672)] × R rs (832). As a unified turbidity model, we obtained strong correlation (R 2 = 0.7, RMSE = 260 NTU) using 2-BM and 3-BM, with R rs (763)/R rs (821) and R rs (810) − [R rs (730) + R rs (770)]/2. When targeting the Sentinel-2 Multispectral Imager (MSI) frequency band, we focused on MSI Bands 4 and 5 (R rs (740) and R rs (775)) for the Chla algorithm. When optically separating SJNU and VDR data, it is effective to use the slopes of MSI Bands 3 and 4 (R rs (560) and R rs (665)) and the slopes of MSI Bands 7 and 9 (R rs (775) and R rs (865)).

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Section: Turbidity Algorithmmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Evaluation of Unified Algorithms for Remote Sensing of Chlorophyll-a and Turbidity in Lake Shinji and Lake Nakaumi of Japan and the Vaal Dam Reservoir of South Africa under Eutrophic and Ultra-Turbid Conditions

Sakuno

Yajima

Yoshioka

et al. 2018

Water

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“…Total hydrogen sulfide is abundant in the anoxic bottom layer of a brackish lake. Lake Nakaumi's hypolimnion typically contains approximately 0.2 mmol/L of dissolved total hydrogen sulfide, whose concentration is elevated in the sediment (Sugahara et al 2015). Therefore, appropriate pretreatment requires the complete removal of total hydrogen sulfide.…”

Section: Modified Molybdenum Yellow Methods For Dissolved Silicatesmentioning

confidence: 99%

“…1). In the 1960s, land reclamation projects here formed a dredged area with a maximum depth of approximately 17 m. As a result, this area is often stagnant and has anoxic-reducing hypolimnion throughout the year (Sugahara et al 2015).…”

Section: Sampling Area and Pretreatment For Analysismentioning

confidence: 99%

Mechanism of silicate elution by hydrogen sulfide from bottom sediment in a brackish lake

et al. 2019

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Highly concentrated dissolved silicate was detected in pore water from anoxic-reducing sediment in Lake Nakaumi, a brackish lake. Silicate concentration also simultaneously increased with total hydrogen sulfide concentration during the summer. Generally, dissolved silicate is readily adsorbed onto ferric hydroxide and precipitates in an oxidative environment. In this study, we focused on the behavior of ferric hydroxide adsorbing silicate in sediment and determined that hydrogen sulfide was the main cause of dissolved silicate elution from ferric hydroxide adsorbing silicate because the hydrogen sulfide produced via microbiological processes in the anoxic-reducing environment was reducible for other metal oxides. According to laboratory experiments, silicate was released from ferric hydroxide by reacting with sodium sulfide, causing increasing elution of dissolved silicate from anoxic-reducing sediments with increasing concentration of sodium sulfide in the solutions. This result shows that hydrogen sulfide is very crucial for silicate release under a reducing environment. Therefore, in Lake Nakaumi, silicate would be released from the bottom after ferric hydroxide adsorbing silicate reacted with hydrogen sulfide in a summer reductive environment.

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“…6 Typically, glass syringes are used in this method. [6][7][8][9] Samples for hydrogen sulfide determination are drawn directly into the glass syringes, without leaving any headspace, through an in-situ sampler into which zinc acetate solution is injected, and then sealed with a rubber cap. In the laboratory, 6 M HCl and sulfide coloring reagent are injected into the glass syringe.…”

Section: Introductionmentioning

confidence: 99%

Colorimetric Determination of Sulfide in Microsamples

et al. 2016

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Influence of hypersaturated dissolved oxygenated water on the elution of hydrogen sulfide and methane from sediment in the dredged area in polyhaline Lake Nakaumi

Cited by 8 publications

References 54 publications

Evaluation of Unified Algorithms for Remote Sensing of Chlorophyll-a and Turbidity in Lake Shinji and Lake Nakaumi of Japan and the Vaal Dam Reservoir of South Africa under Eutrophic and Ultra-Turbid Conditions

Evaluation of Unified Algorithms for Remote Sensing of Chlorophyll-a and Turbidity in Lake Shinji and Lake Nakaumi of Japan and the Vaal Dam Reservoir of South Africa under Eutrophic and Ultra-Turbid Conditions

Mechanism of silicate elution by hydrogen sulfide from bottom sediment in a brackish lake

Colorimetric Determination of Sulfide in Microsamples

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