Wyniki wyszukiwania - Biblioteka Nauki

1

The impact of acid deposition on China’s Three Gorges Reservoir

100%

Guo P. , Wang Y. , Zhang H. , Wang B. , Hu B.

Polish Journal of Environmental Studies

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2015

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tom 24

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nr 6

2

Adsorption characteristics and mechanisms of organochlorine pesticide DDT on farmland soils

100%

Cheng D. , Yu J. , Wang T. , Chen W. , Guo P.

Polish Journal of Environmental Studies

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2014

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tom 23

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nr 5

EN

The adsorption behavior and the adsorption mechanism of the persistent organic pollutant DDT existing extensively in soils around the world are the key to solve the DDT-contaminated soils. Hence, in this paper, selective extraction and batch experimental method were used to examine the adsorption of DDT on farmland soils H and S in Northeast China. Simultaneously, the parameters indicating soil properties and composition such as soil particle, organic matter, and minerals, ect. were analyzed. Results show that the shape and the best fitted model of adsorption isotherm of DDT in both soils were L-type and Freundlich model, respectively. Smaller soil particle had greater adsorption capacity to DDT. The effects of organic matter and minerals on the adsorption of DDT were related to the composition and the origin of organic matter and minerals. Both SiO2 and illite-montmorillorite mixed-layer could hardly adsorb DDT, and the iron oxides could adsorb DDT, while the function of manganese oxides was inhibitory of DDT adsorption. Organic matter had greater adsorption capacity to DDT than iron oxides. The adsorption capacity of the plant residues is the greatest, followed by the aromatic substances from the plant and the products from microbial degradation.

3

The dehydration-induced ERECTA gene, MsSIK1, from alfalfa improved water use efficiency in transgenic Arabidopsis

100%

Guo P. , Wei H. , Zhang W. , Yang B. , Bao Y.

Acta Physiologiae Plantarum

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2016

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tom 38

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nr 02

4

Screening an effective aerobic denitrification strain and its performance in MBR

86%

Guo J. , Guo P. , Li S. , Li X. , Luo C. , Wang H. , Jang Q.

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tom 26

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nr 3

EN

A highly effective aerobic denitrification strain was screened from the municipal activated sludge and its gene sequence was obtained from DNA extraction and amplified by the polymerase chain reaction (PCR) amplification. Based on the result, the strain was preliminarily identified to be Pseudomonas by way of comparison with the National Centre for Biotechnology Information (NCBI) Genbank. In order to get more knowledge of the aerobic denitrification strain and its application in wastewater treatment, the strain was added into the membrane bioreactor (MBR) to construct a denitrification MBR (dMBR) for municipal wastewater treatment due to its high denitrification ability. The experiment results showed that nitrogen removal efficiency was as high as 80% in dMBR and nitrogen removal efficiency was 50% in the control MBR (cMBR), which indicated that aerobic denitrification in the MBR tank played a main role in removing the nitrogen under aerobic conditions. The best strain dosage was 20-30% in the total activated sludge. The dMBR also had a better membrane fouling resistant effect than cMBR. As a result, the dMBR could be an effective method for nitrogen removal of the wastewater treatment.

5

A Hybrid Invasive Weed Optimization with Feasibility-Based Rule for Constrained Optimization Problem

86%

Chen H. , Zhou P. , Guo P. , Ouyang X. , He S. , Zheng H.

Przegląd Elektrotechniczny

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2013

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tom R. 89, nr 4

160-167

EN

During the past decade, hybrid algorithms combining evolutionary computation and constraint-handling techniques is one of the most popular method to solve constrained optimization problems. Usually, penalty functions are often used in constrained optimization. But it is difficult to strike the right balance between objective and penalty functions. As a novel population-based algorithm, invasive weed optimization (IWO) algorithm has gained wide applications in a variety of fields, especially for unconstrained optimization problems. In this paper, a hybrid IWO (HIWO) with a feasibility-based rule is proposed to solve constrained optimization problems. The feasibility-based rule does not need additional parameters, which is different from penalty functions. In addition, the complex method is used to provide direction for weed evolution, which can accelerate the convergence speed. Simulation and comparisons based on several well-studied benchmarks demonstrate the effectiveness, efficiency and robustness of the proposed HIWO.

PL

W artykule przedstawiono opracowaną metodę optymalizacji z funkcją kosztu, bazującą na hybrydowej metodzie IWO (ang. Hybrid Invasive Weed Optimizastion) oraz regułach związanych z wykonalnością. Zasady wykonalności, w przeciwieństwie do funkcji kar, nie wymagają dodatkowych parametrów. Dodatkowo zastosowano kompleksową metodę określania kierunki ewolucji trawy w algorytmie IWO, co pozwala na przyspieszenie konwergencji. Przeprowadzone badania symulacyjne i porównawcze dowodzą skuteczności i sprawności proponowanej metody HIWO.

6

Mixotrophic denitrification desulfurization wastewater treatment process: bioreactor performance and analysis of the microbial community

72%

Li W. , Lin J. , Zhang L. , Zhu K. , Liu X. , Wang Z. , Cao B. , Guo P.

Polish Journal of Environmental Studies

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2016

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tom 25

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nr 6

EN

The mixotrophic denitrification desulfurization process was adopted in an upflow attached-growth bioreactor for wastewater treatment. The microorganisms in the system were acclimated to remove sulfide, nitrate, nitrite, and organics simultaneously while the contaminants were finally converted to element sulfur, nitrogen gas, and carbon dioxide. The 16S rDNA clone library technique was utilized to investigate the characteristics of the microbial community within this mixotrophic environment. The results showed that Azoarcus was the main sulfur-based denitrification desulfurization bacteria and had a relative abundance of 8.0% in this system. It used sulfide as electron donors, with both nitrate and nitrite as eletron acceptors. Thauera, Vulcanibacillus, and Paracoccus were the main heterotrophic denitrification bacteria and had the relative abundances of 29.5%, 9.82%, and 1.78%, respectively. They utilized arganics as electron donors, with nitrate or nitrite as electron acceptors. The high removal efficiencies of contaminants were attributed to the interaction of these two main species.