The adsorption characteristics of Cu(II) and Zn(II) on the sediments at the mouth of a typical urban polluted river in Dianchi Lake: taking Xinhe as an example

This study is to determine the spatial distribution characteristics of Cu and Zn adsorption on the sediments of the estuary of Dianchi Lake, as well as the composite adsorption law of Cu and Zn on combinations of sediment organic matter, metal oxides, and organic–inorganic composites. The relationship between the adsorption contribution of each component of the substance. A static adsorption experiment was applied to the sediments in the estuary of Dianchi Lake. The relationship between adsorption capacity and sediment composition was analyzed through correlation analysis and redundant analysis. The results show that along the direction of the river flow and the vertical depth, the adsorption capacity presents a relatively obvious spatial distribution law; the change trend of sediment component content is not the same as the change trend of Cu and Zn adsorption capacity. The change trend of the sediment component content is not the same as the change trend of the adsorption amount of Cu and Zn, and the compound effect between the components affects the adsorption amount. The adsorption of Cu by the four groups of sediments after different treatments is more in line with the Freundlich isotherm adsorption model; When adsorbing Zn, the untreated and removed organic matter and iron-aluminum oxide group are in good agreement with the Freundlich model, while the organic matter-removed group and the iron-aluminum oxide removal group are more consistent with the Langmuir isotherm adsorption model; The adsorption contribution rate of organic–inorganic composites in sediments is not a simple addition of organic matter and iron-aluminum oxides, but a more complex quantitative relationship.

Some aspects of restoration of degradated sewage receivers

Bottom sediments are naturally connected with water body of the river and it is essential inpollutant balance, Natural phosphorus cycle in water environment is sedimentation cycle,Once introduced to water ecosystem can be removed by different chemical, biological andphysical processes and loses its environmental mobility as a sediment component,In studied case the contaminants load was radically reduced by construction of wastewatertreatment plant in city of Lodz, But the water quality improvement was not commensurate tothis reduction, Such situation could be the result of increased phosphorus release fromsediments deposed in the course of decades in river bed, On the distance the phosphateconcentration increases up to 25 km downstream the WWfP outlet and it can not beexplained by other pollution sources. The phosphorus content in the sediment is as high as 27 1 mg kg- dw, The equilibrium phosphate concentration (EPCo) experiment showed that itcould be released to water body, The preliminary results showed that EPCo value exceed in 3 some points limit polish water quality norm and amount to 1.2 mg PO4 dm- in oxic condition,

Perbandingan Pemeriksaan Leukosit Urine Segar Dengan Setelah 2 Jam Di Suhu Kamar

ABSTRACTBackground: Urinalysis is a parameter often requested by clinicians. The urinalysis parameters consist of macroscopic, microscopic or sedimental examination and urine chemistry examination. Urine examination is very important, especially in making the diagnosis. Procrastination delay results in errors in diagnosis and administration of drugs that lead to adverse outcomes of patients, analysis should be performed no later than 4 hours after sampling. Urine has a stability at room temperature ie for 1 hour, if urine is silenced long then the bacteria will multiply, so it can decompose NH3 (ammonia) which is alkaline. Under alkaline conditions, the pH in the urine will increase. This may affect the sediment component in the urine to rapid lysis so that the amount will be reduced General purpose of this study to determine the difference results of examination of fresh urine leukocytes compared after 2 hours at room temperature. Method: descriptive observasional with number of sample counted 20 sample. Result: Based on the test result, the positive percentage value in fresh urine is 100% and the positive percentage value in urine after 2 hours is 70%. In the Wilcoxon statistical test obtained p-value <0.001 (> 0.05). Conclusion: Based on the research that has been done then it can be concluded that there are differences in the results of fresh urine leukosit better than urine after 2 hours at room temperature.Keywords: Leukocyte urine, Fresh urine, delay.

LOSCAR: Long-term Ocean-atmosphere-Sediment CArbon cycle Reservoir Model v2.0.4

The LOSCAR model is designed to efficiently compute the partitioning of carbon between ocean, atmosphere, and sediments on time scales ranging from centuries to millions of years. While a variety of computationally inexpensive carbon cycle models are already available, many are missing a critical sediment component, which is indispensable for long-term integrations. One of LOSCAR's strengths is the coupling of ocean-atmosphere routines to a computationally efficient sediment module. This allows, for instance, adequate computation of CaCO3 dissolution, calcite compensation, and long-term carbon cycle fluxes, including weathering of carbonate and silicate rocks. The ocean component includes various biogeochemical tracers such as total carbon, alkalinity, phosphate, oxygen, and stable carbon isotopes. LOSCAR's configuration of ocean geometry is flexible and allows for easy switching between modern and paleo-versions. We have previously published applications of the model tackling future projections of ocean chemistry and weathering, pCO2 sensitivity to carbon cycle perturbations throughout the Cenozoic, and carbon/calcium cycling during the Paleocene-Eocene Thermal Maximum. The focus of the present contribution is the detailed description of the model including numerical architecture, processes and parameterizations, tuning, and examples of input and output. Typical CPU integration times of LOSCAR are of order seconds for several thousand model years on current standard desktop machines. The LOSCAR source code in C can be obtained from the author by sending a request to [email protected].

LOSCAR: Long-term Ocean-atmosphere-Sediment CArbon cycle Reservoir Model

The LOSCAR model is designed to efficiently compute the partitioning of carbon between ocean, atmosphere, and sediments on time scales ranging from centuries to millions of years. While a variety of computationally inexpensive carbon cycle models are already available, many are missing a critical sediment component, which is indispensable for long-term integrations. One of LOSCAR's strengths is the coupling of ocean-atmosphere routines to a computationally efficient sediment module. This allows, for instance, adequate computation of CaCO3 dissolution, calcite compensation, and long-term carbon cycle fluxes, including weathering of carbonate and silicate rocks. The ocean component includes various biogeochemical tracers such as total carbon, alkalinity, phosphate, oxygen, and stable carbon isotopes. We have previously published applications of the model tackling future projections of ocean chemistry and weathering, pCO2 sensitivity to carbon cycle perturbations throughout the Cenozoic, and carbon/calcium cycling during the Paleocene-Eocene Thermal Maximum. The focus of the present contribution is the detailed description of the model including numerical architecture, processes and parameterizations, tuning, and examples of input and output. Typical CPU integration times of LOSCAR are of order seconds for several thousand model years on current standard desktop machines. The LOSCAR source code in C can be obtained from the author by sending a request to [email protected].