Biosorption of cadmium(II), lead(II) and cobalt(II) from aqueous solution by biochar from cones of larch (<Emphasis Type="Italic">Larix decidua</Emphasis> Mill. <Emphasis Type="Italic">subsp. decidua</Emphasis>) and spruce (<Emphasis Type="Italic">Picea abies</Emphasis> L. H. Karst)     

Bogdan Saletnik  Grzegorz Zaguła  Dorota Grabek-Lejko  Idalia Kasprzyk  Marcin Bajcar  Maria Czernicka  Czesław Puchalski 《Environmental Earth Sciences》2017,76(16):574

Because of their physicochemical properties, biochars can be used as sorption materials for removal of toxic substances. The purpose of the present study was to determine whether biochar obtained from cones of larch (Larix decidua Mill. subsp. decidua) and spruce (Picea abies L. H. Karst) could be used as a sorbent for Cd²⁺, Pb²⁺ and Co²⁺ in aqueous solutions. So far, this feedstock had not been tested in this respect. The material was subjected to pyrolysis at 500 and 600 °C for the duration of 5, 10 and 15 min. The obtained pyrolysates were found to differ in terms of pH and the contents of the essential macroelements. The different values of these parameters were determined for varying temperature, duration of the pyrolysis process and type of feedstock. Sorption capacities of the biochars for removal of Cd²⁺, Pb²⁺ and Co²⁺ were examined using simulated contamination of aqueous solutions with salts of these metals. The findings showed the highest, nearly complete, removal for Pb²⁺ were maximum 99.7%, and almost three times lower value for Cd²⁺ and Co²⁺ (respectively, 35.7 and 24.8%). It was demonstrated that pyrolysis of conifer cones produced optimum sorption capacities when the process was conducted at a temperature of 500 °C for the duration of 5 min. It was shown that products of spruce cone pyrolysis were characterized by better sorption capacity in comparison with products of larch cone pyrolysis. The properties of conifer cone biochar create the possibility of using it as an adsorbent in water and wastewater treatment as well as in production of filters and activated carbon.  相似文献   

Nearest neighbor time series bootstrap for generating influent water quality scenarios     

Raseman  William J.  Rajagopalan  Balaji  Kasprzyk  Joseph R.  Kleiber  William 《Stochastic Environmental Research and Risk Assessment (SERRA)》2020,34(1):23-31

Stochastic Environmental Research and Risk Assessment - Understanding influent water quality variability is essential for the long-term planning of potable water systems. To quantify variability...  相似文献   

Hot Air: University Climate Action Plans and Disarticulated Federalism     

J. Anthony Abbott  Kiryssa Kasprzyk 《The Professional geographer》2013,65(4):572-585

Individual states and academic institutions have taken leadership on climate change policy in the United States. Without unified national policy, a patchwork of state policies fosters geographic variation among climate action plans (CAPs) for American College and Universities Presidents’ Climate Commitment signatories. Correlation among indexes rating state climate policy and signatory CAPs and spatial analysis indicate that states with aggressive climate policy foster aggressive policy within their academies. Reflection on the national scale suggests that although state policies help combat climate change, they could be more significant if articulated within a more comprehensive national policy.  相似文献   

Narrow-beam X-ray tests of CCD edge response     

Stephen Kuhlmann  Harold Spinka  Joseph P. Bernstein  Kevin A. Beyer  Lisa M. Gades  Thomas E. Kasprzyk  Antonino Miceli  Richard A. Spence  Richard Talaga 《Experimental Astronomy》2011,29(3):135-144

The physical boundaries of a fully-depleted CCD can lead to distorted field lines and non-uniform response. We study this response with a beam of X-rays constrained to a width of less than one pixel (15 \upmu\upmum), and a system to map the CCD response as a function of transverse position.  相似文献   

A new epsilon-dominance hierarchical Bayesian optimization algorithm for large multiobjective monitoring network design problems     

J.B. Kollat  P.M. Reed  J.R. Kasprzyk 《Advances in water resources》2008

This study focuses on the development of a next generation multiobjective evolutionary algorithm (MOEA) that can learn and exploit complex interdependencies and/or correlations between decision variables in monitoring design applications to provide more robust performance for large problems (defined in terms of both the number of objectives and decision variables). The proposed MOEA is termed the epsilon-dominance hierarchical Bayesian optimization algorithm (ε$\epsilon$-hBOA), which is representative of a new class of probabilistic model building evolutionary algorithms. The ε$\epsilon$-hBOA has been tested relative to a top-performing traditional MOEA, the epsilon-dominance nondominated sorted genetic algorithm II (ε$\epsilon$-NSGAII) for solving a four-objective LTM design problem. A comprehensive performance assessment of the ε$\epsilon$-NSGAII and various configurations of the ε$\epsilon$-hBOA have been performed for both a 25 well LTM design test case (representing a relatively small problem with over 33 million possible designs), and a 58 point LTM design test case (with over 2.88×10¹⁷$2.88\times {10}^{17}$ possible designs). The results from this comparison indicate that the model building capability of the ε$\epsilon$-hBOA greatly enhances its performance relative to the ε$\epsilon$-NSGAII, especially for large monitoring design problems. This work also indicates that decision variable interdependencies appear to have a significant impact on the overall mathematical difficulty of the monitoring network design problem.  相似文献