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Environmental Science and Pollution Research - This study aims to present an exact model for predicting solar radiation worldwide through a general model. In this study, mean monthly global solar...  相似文献   
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Environmental Science and Pollution Research - Heavy metals are among the most dangerous contaminants in the environment. Organic components and plant species that can accumulate and stabilize...  相似文献   
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Phytoremediation of heavy metal contaminated sites is often limited by the low-bioavailability of the contaminants. Complexing agents can help to improve this technique by enhancing heavy metal solubility. Pot experiments were conducted to determine the best time for the application of ethylene diamine tetraacetic acid (EDTA) and sheep manure extract (SME) for phytoremediation of a contaminated soil by Brassica napus. The plant was grown on a mine calcareous soil treated with increasing concentrations of EDTA or SME 30 and 10?days before sowing (T1 and T2) and 10 and 30?days after sowing (T3 and T4). Soil available Pb and lead concentrations in plant organs of Brassica napus increased with EDTA concentration. The EDTA application before seed germination significantly reduced rapeseed seedling emergence and dry weight. However, the actual amount of phytoextracted Pb by rapeseed did not decrease significantly, due to severe growth depression, at high EDTA concentrations when it had applied at a suitable time (T4). SME application after sowing increased plant dry weight and Pb concentration in the soil solution and enhanced the accumulated metal concentrations in shoots and roots. Comparing the effect of EDTA and SME on Pb phytoextraction, the study showed that SME is not more effective than EDTA. The efficiency of EDTA on Pb phytoextraction by Brassica napus depends on the time of application. The most efficient treatment for Pb phytoextraction by rapeseed was application of 2?g EDTA/kg soil at T4.  相似文献   
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The paper reports the production of syngas from dry reforming of methane (DRM) over La1?xCexNi1?yFeyO3 (x, y = 0–0.4) perovskites. A series of La1?xCexNi1?yFeyO3 were designed by central composite design (CCD) and synthesized by a sol–gel auto combustion method. Artificial neural network (ANN) approach was used to determine the relationship between preparation and operational parameters on the performance of the catalysts in the DRM process. Nickel mole fraction, lanthanum mole fraction, calcination temperature, and reaction temperature were considered as input variables, and conversion of methane was considered as the output variable. An ANN model with nine neurons in the hidden layer was the suitable in predicting conversion of methane. The genetic algorithm (GA) was subsequently used to determine the optimal preparation condition for enhancing the conversion of methane. La0.6Ce0.4Ni0.99Fe0.01O3 catalyst, calcined at 756°C was obtained to be the most active catalyst owing to the optimal composition of nickel and lanthanum in the catalyst formulation.  相似文献   
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A multi-tier approach for agricultural watershed management has been proposed. The approach involves identification of a watershed management issue/problem, selection or development of simple conceptual model suitable for the exploration of the issue/problem identified and appropriate to the database available, and application of the model the address the identified issue/problem. The procedure is repeated by increasing the complexity in the conceptual model until the identified issue/problem has been addressed satisfactorily. An application of the procedure to an example watershed in southern Ontario conditions is shown. The application example has revealed that for identification of temporal pattern of runoff and sediment loads a simple conceptual model is adequate. For identification of spatial location of the sediment source areas and for the development of a monitoring program for the evaluation of remedial strategies a more complex distributed agricultural watershed model is necessary.  相似文献   
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