Influence of turbid flood water release on sediment deposition and phosphorus distribution in the bed sediment of the Three Gorges Reservoir, China

Tang, Xianqiang; Li, Rui; Wu, Min; Zhao, Wenlong; Zhao, Liangyuan; Zhou, Yongqiang; Bowes, Michael J.

doi:10.1016/j.scitotenv.2018.12.011

Cited by 40 publications

(9 citation statements)

References 33 publications

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“…Despite numerous studies concerning eutrophication, algae blooms and overgrowing, there is still no knowledge as to which factor determines degradation the most. It may be determined by geographical location (González-Márquez et al, 2018), natural processes , hydro-meteorological conditions (Souza et al 2018), land use and state of wastewater management in the basin (Tang et al, 2019), sediments deposition (Fuska et al, 2017), or water quality in rivers inflowing to the reservoirs (Yu et al, 2019). On the basis of the cluster analysis (CA), it was confirmed that multi-factors affecting the increased concentration of algae blooms or changes of overgrowth areas are different in each water body.…”

Section: Overall Resultsmentioning

confidence: 99%

Analysis of Degradation Processes in Reservoirs Based on Remote Sensing Data

Jaskuła¹,

Sojka²

2019

ASP.FC

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Aim of the studyThe primary objective was to assess spatio-temporal changes of the vegetation occurring in 12 reservoirs located in the Odra River basin. The analysis was made for reservoirs of different constructions, i.e. single stage, two-stage and lateral. The second purpose was to analyze possibility using remote sensing data to monitor the dynamics of the vegetation processes. Material and methodsMonitoring and mapping of spatio-temporal changes of the vegetation occurring in the reservoirs was analyzed on the basis on Sentinel-2 data. The analysis was based on the NDVI and the WAVI indices. To specify spatial changes of vegetation, the reservoirs were split into zones equals to 250 m. The statistical analysis was aimed at comparing the NDVI and the WAVI values between designated zones. In turn, Cluster analysis (CA) was used to group reservoirs into clusters on the basis of similarities between the NDVI and the WAVI values. Results and conclusionsCluster analysis (CA) showed that each reservoir is separate water body where decisive impact on degradation process could have different factor. There was observed that two-stage construction focuses degradation processes in pre-reservoir and protect water resources in the main part. Additionally, relatively new solution -lateral reservoirs seems to be alternative preventing degradation processes. Taking into account possibility of using satellite imagery, there was observed that resolutions of Sentinel-2 satellite imagery allow to monitor vegetation processes in terms of time and space. The major limitation of using remote sensing data is high cloud density, which significantly reduces the number of observations during most of the year. Jaskuła, J., . Analysis of degradation processes in reservoirs based on remote sensing data. Acta Sci. Pol., Formatio Circumiectus, 18 (2), 23-37. DOI: 24 www.formatiocircumiectus.actapol.net/pl/

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Section: Overall Resultsmentioning

confidence: 99%

Analysis of Degradation Processes in Reservoirs Based on Remote Sensing Data

Jaskuła¹,

Sojka²

2019

ASP.FC

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“…Despite numerous studies concerning eutrophication, algae blooms and overgrowing, there is still no knowledge as to which factor determines degradation the most. It may be determined by geographical location (González-Márquez et al, 2018), natural processes (Liu et al, 2019), hydro-meteorological conditions (Souza et al 2018), land use and state of wastewater management in the basin (Tang et al, 2019), sediments deposition (Fuska et al, 2017), or water quality in rivers inflowing to the reservoirs (Yu et al, 2019). On the basis of the cluster analysis Fig.…”

Section: Overall Resultsmentioning

confidence: 99%

Analysis of Degradation Processes in Reservoirs Based on Remote Sensing Data

Jaskuła¹,

Sojka²

2019

ASP.FC

View full text Add to dashboard Cite

Aim of the study The primary objective was to assess spatio-temporal changes of the vegetation occurring in 12 reservoirs located in the Odra River basin. The analysis was made for reservoirs of different constructions, i.e. single stage, two-stage and lateral. The second purpose was to analyze possibility using remote sensing data to monitor the dynamics of the vegetation processes. Material and methods Monitoring and mapping of spatio-temporal changes of the vegetation occurring in the reservoirs was analyzed on the basis on Sentinel-2 data. The analysis was based on the NDVI and the WAVI indices. To specify spatial changes of vegetation, the reservoirs were split into zones equals to 250 m. The statistical analysis was aimed at comparing the NDVI and the WAVI values between designated zones. In turn, Cluster analysis (CA) was used to group reservoirs into clusters on the basis of similarities between the NDVI and the WAVI values. Results and conclusions Cluster analysis (CA) showed that each reservoir is separate water body where decisive impact on degradation process could have different factor. There was observed that two-stage construction focuses degradation processes in pre-reservoir and protect water resources in the main part. Additionally, relatively new solution-lateral reservoirs seems to be alternative preventing degradation processes. Taking into account possibility of using satellite imagery, there was observed that resolutions of Sentinel-2 satellite imagery allow to monitor vegetation processes in terms of time and space. The major limitation of using remote sensing data is high cloud density, which significantly reduces the number of observations during most of the year.

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“…However, it should be noted that if we consider this concentration of P soluble in watercourses, according to Resolution of CONAMA (2005) for Class I freshwaters, the values are at least four times higher than that allowed by legislation, as found by BENDER et al (2018). The soluble form of the nutrients, P, K, Ca, and Mg is the form in which they will be available in the aqueous environment and may trigger new reactions or processes (TANG et al, 2019). Thus, when transported by surface runoff, they can cause environmental effects depending on the concentrations that reach watercourses (ZHANG et al, 2014).…”

Section: Chemical Characterisation and Concentration Of Nutrients In mentioning

confidence: 98%

“…The concentration of soluble P was high in all treatments, even though it was preferentially adsorbed by the sediment (RAMOS; MARTÍNEZ-CASASNOVAS, 2006b;TANG et al, 2019). Its concentrations varied from 1.21 (CT) to 1.73 (NT) mg l -1 when comparing the soil management effects and from 1.06 to 2.48 mg l -1 for the fertilization source effects ( Table 2).…”

Section: Chemical Characterisation and Concentration Of Nutrients In mentioning

confidence: 99%

Losses of water, soil, and nutrients during high-intensity simulated rainfall in two soil management systems different sources of fertilization

Lemos¹,

Cassol

Barros

2020

Cienc. Rural

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The goal of this study was to quantify the water, soil, and soluble nutrient losses during high-intensity rainfall simulated in two soil preparation systems with four sources of fertilization. Forty-five days after the corn seeding, a 120 mm h-1 intensity rainfall was simulated during 90 min in field plots with conventional tillage (CT) or no-tillage (NT). Each system had four repetitions with the fertilizer treatments, including without fertilization, mineral, urban waste compost (UWC), and pig slurry. P, K, Ca, and K concentrations were measured in soluble form, in addition to electrical conductivity, pH, water, and soil losses. As expected, the greatest soil losses occurred with CT; however, the greatest water losses occurred with NT. Among the fertilizers, UWC was more efficient because it had the highest infiltration rates. The concentrations of P, K, Ca, and Mg did not exhibit any interaction between fertilization and soil tillage treatments. K was the nutrient that presented the greatest losses (kg ha-1) at the end of the simulated rainfall because of the highest concentrations (mg L-1) added to high runoff coefficients of 45% for CT and 77% for NT. Thus, the evaluated system with cover crops and minimum soil tillage was not sufficient to control nutrient transfer in the soluble form during intense rainfall events.

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Influence of turbid flood water release on sediment deposition and phosphorus distribution in the bed sediment of the Three Gorges Reservoir, China

Abstract: Influence of turbid flood water release on sediment deposition and phosphorus distribution in the bed sediment of the Three Gorges Reservoir, China.

Cited by 40 publications

References 33 publications

Analysis of Degradation Processes in Reservoirs Based on Remote Sensing Data

Analysis of Degradation Processes in Reservoirs Based on Remote Sensing Data

Analysis of Degradation Processes in Reservoirs Based on Remote Sensing Data

Losses of water, soil, and nutrients during high-intensity simulated rainfall in two soil management systems different sources of fertilization

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