Interactions between sediment resuspension and sediment quality decrease the TN:TP ratio in a shallow lake

2008 ◽  
Vol 53 (6) ◽  
pp. 2407-2415 ◽  
Author(s):  
Juha Niemistö ◽  
Heidi Holmroos ◽  
Zeynep Pekcan-Hekim ◽  
Jukka Horppila
1988 ◽  
Vol 20 (6-7) ◽  
pp. 263-270 ◽  
Author(s):  
K. Otsubo ◽  
K. Muraoka

The dispersion and resuspension of sediments in Takahamairi Bay basin of Lake Kasumigaura were studied by means of field research and numerical simulation. The field data on wind direction and velocity, lake current, water wave, and turbidity were shown. Based on these results, we discuss how precipitated sediments were resuspended in this shallow lake. To predict the turbidity and the depth of bed erosion, a simulation model was established for this lake. The calculated turbidity showed good agreement with the field data. According to the simulated results, the turbidity reaches 200 ppm, and the bed is eroded several millimeters deep when the wind velocity exceeds 12 m/s in the lake.


2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Bo Wang ◽  
Qianqian Qi

In the shallow lake ecosystems, the recovery of the aquatic macrophytes and the increase in the water transparency have been the main contents of the ecological restoration. Using the shallow lake ecological degradation and restoration model, CNOP method is adopted to discuss the instability and sensitivity of the ecosystem to the finite-amplitude perturbations related to the initial condition and the parameter condition. Results show that the linearly stable clear (turbid) water states can be nonlinearly unstable with the finite-amplitude perturbations, which represent the nature factors and the human activities such as the excessive harvest of the macrophytes and the sediment resuspension caused by artificially dynamic actions on the ecosystems. The results also support the viewpoint of Scheffer et al., whose emphasis is that the facilitation interactions between the submerged macrophytes and the water transparency are the main trigger for an occasional shift from a turbid to a clear state. Also, by the comparison with CNOP-I, CNOP-P, CNOP, and (CNOP-I, CNOP-P), results demonstrate that CNOP, which is not a simple combination of CNOP-I and CNOP-P, could induce the shallow lake ecosystem larger departure from the same ground state rather than CNOP-I, CNOP-P, and (CNOP-I, CNOP-P).


2017 ◽  
Vol 108 ◽  
pp. 2-9 ◽  
Author(s):  
Theis Kragh ◽  
Kaj Sand-Jensen ◽  
Kathrine Petersen ◽  
Emil Kristensen

2013 ◽  
Vol 75 (4) ◽  
pp. 559-570 ◽  
Author(s):  
Olga Tammeorg ◽  
Juha Niemistö ◽  
Tõnu Möls ◽  
Reet Laugaste ◽  
Kristel Panksep ◽  
...  

Author(s):  
SIMONE BONAMANO ◽  
DANIELE PIAZZOLLA ◽  
SERGIO SCANU ◽  
VIVIANA PIERMATTEI ◽  
MARCO MARCELLI

This study investigates the relationship between sediment contamination and hydrodynamic conditions in the Gaeta Gulf (Tyrrhenian Sea, Italy), an anthropogenically impacted and sheltered coastal area. The pollution levels, potential toxicity, and ecological risk of trace metals were analysed in 16 sediment sampling sites using Sediment Quality Guidelines (SQGs), the Adverse Effect Index (AEI), and the Mean ERM Quotient (m-ERM-Q). The bottom shear stress of the study area, evaluated using an annual simulation of a 3D numerical model, was used to calculate a new Sediment Mobilisation Index (SMI) that detects the coastal zones where a low probability of sediment resuspension occurs. As, Ni, and Cu concentrations exceeded the Threshold Effects Level (TEL) guideline value and  AEI limit in several sampling sites, indicating their ability to produce adverse effects on biota. Moreover m-ERM-Q showed the highest values of potential ecological risk in most of the sampling sites located in the inner part of the Gulf of Gaeta. In this area, the highest SMI values were also identified, demonstrating that there is a tight relationship between the two indexes (R2 = 0.8214). The application of SMI in sheltered areas will help achieve high performance of monitoring and hazard assessment tools through obtaining predictable responses on hotspot identification.


2012 ◽  
Vol 180 (3) ◽  
pp. 193-205 ◽  
Author(s):  
Heidi Holmroos ◽  
Susanna Hietanen ◽  
Juha Niemistö ◽  
Jukka Horppila

1995 ◽  
Vol 39 ◽  
pp. 799-804
Author(s):  
Gozo TSUJIMOTO ◽  
Heinz G. STEFAN ◽  
Shigeyuki KUSAKABE

2004 ◽  
Vol 49 (1) ◽  
pp. 54-64 ◽  
Author(s):  
Boqiang Qin ◽  
Weiping Hu ◽  
Guang Gao ◽  
Liancong Luo ◽  
Jinshan Zhang

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