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311.
Riefler RG  Medina VF 《Chemosphere》2006,63(6):1054-1059
Nitroglycerine (NG) and 2,4-dinitrotoluene (2,4-DNT) are propellants often found in soil and groundwater at military firing ranges. Because of the need for training with live ammunition, control or cleanup of these contaminants may be necessary for the continued use of these firing ranges. One inexpensive approach for managing sites exposed to these contaminants is the use phytoremedation, particularly using common or native grasses. In this study, the uptake of NG and 2,4-DNT from water by three common grasses, yellow nutsedge (Cyperus escalantus), yellow foxtail (Setaria glauca), and common rush (Juncus effusus), was investigated using hydroponic reactors. Rapid removal from solution by all grasses was observed, with yellow nutsedge removal rates being the highest. NG or 2,4-DNT accumulated in the tissues in all of the plants, except yellow foxtail did not accumulate NG. Higher concentrations were observed in killed roots, demonstrating the presence of plant-based enzymes actively transforming the contaminants. Yellow nutsedge was also grown in 2,4-DNT spiked soil. Significant uptake into the plants roots and leaves was observed and concentrations in the soil decreased rapidly, although 2,4-DNT concentration also decreased in the unplanted controls. In summary, the three grasses tested appear to be good candidates for phytoremediation of propellant contamination.  相似文献   
312.
Geospatial analysis and statistical analysis are coupled in this study to determine the dynamic linkage between landscape characteristics and water quality for the years 1996, 2002, and 2007 in a subtropical coastal watershed of Southeast China. The landscape characteristics include Percent of Built (%BL), Percent of Agriculture, Percent of Natural, Patch Density and Shannon’s Diversity Index (SHDI), with water quality expressed in terms of CODMn and NH4 +–N. The %BL was consistently positively correlated with NH4 +–N and CODMn at time three points. SHDI is significantly positively correlated with CODMn in 2002. The relationship between NH4 +–N, CODMn and landscape variables in the wet precipitation year 2007 is stronger, with R2 = 0.892, than that in the dry precipitation years 1996 and 2002, which had R2 values of 0.712 and 0.455, respectively. Two empirical regression models constructed in this study proved more suitable for predicting CODMn than for predicting NH4 +–N concentration in the unmonitored watersheds that do not have wastewater treatment plants. The calibrated regression equations have a better predictive ability over space within the wet precipitation year of 2007 than over time during the dry precipitation years from 1996 to 2002. Results show clearly that climatic variability influences the linkage of water quality-landscape characteristics and the fit of empirical regression models.  相似文献   
313.
Environment, Development and Sustainability - Climate extremes over the years have been a major concern for the globalized world. The hardest hit from these climate extremes are women farmers with...  相似文献   
314.
Environmental Science and Pollution Research - One of the primary objectives of any public health programme is to design a protocol that will curtail a population from being predisposed to toxic...  相似文献   
315.
Environmental Science and Pollution Research - Aquaculture has emerged as one of the world’s fastest-growing food industries in recent years, helping food security and boosting global...  相似文献   
316.
Environmental Science and Pollution Research - Several studies have investigated the relationship between tourism, consumption of energy, globalization, and ecological footprint. However, the role...  相似文献   
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