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1.
G. Venkatesh Åsa Nyflött Chris Bonnerup Magnus Lestelius 《Environment, Development and Sustainability》2018,20(4):1483-1497
The purpose of a barrier coating in food packaging is primarily to increase the shelf life of the foodstuff contained within the packaging, preserve its colour, odour, taste and quality, and thereby reduce food wastage (both at retail outlets and households). While most publications hitherto have compared packaging and barrier-coating materials on the basis of their environmental impacts alone, this paper adopts a more holistic approach by factoring in the economic aspect as well. Four barrier material alternatives—starch, polyethylene, EVOH + kaolin and latex + kaolin are analysed. Two well-defined end-of-life handling scenarios, relevant to Sweden, are: one in which everything except starch is recycled, with starch being composted, and the other in which everything is incinerated. Among the several environmental impact categories which can be analysed, this paper considers only global warming. Two approaches are tested to combine the economic and environmental aspects—normalisation, weighting and aggregating on the one hand, and using the carbon tax to internalise the externality caused by GHG emissions on the other. For the set of weighting factors obtained thanks to a survey conducted by the authors (40.6% for environmental and 59.4% for economic), starch emerges as the most sustainable alternative, followed by polyethylene for both the end-of-life handling scenarios. This tallies with the result obtained by using the carbon tax for internalisation of the externality. The case study, methodology and results presented in this paper, will hopefully be a springboard for more detailed studies of this nature, under the umbrella of sustainability. 相似文献
2.
Kumar Saroj Dutta Venkatesh 《Environmental science and pollution research international》2019,26(12):11662-11673
Environmental Science and Pollution Research - Constructed wetland microcosms (CWMs) are artificially designed ecosystem which utilizes both complex and ordinary interactions between supporting... 相似文献
3.
A feasibility study on utilization of non edible oil of Scleropyrum pentandrum was carried out to see its potential as a new source for biodiesel production. Nonedible oil seeds of Scleropyrum pentandrum have oil content of 55–60%. Transesterification of freshly extracted oil in the presence of anhydrous sodium hydroxide at a concentration 1% (w/v oil) and methanol-oil ratio of 40% (v/v oil) yields 90.8% methyl esters under conventional heating. Month old oil requires sulfuric acid pretreatment (esterification) before transesterification. The transesterified oil has a density 889–893 kg/m3; kinematic viscosity of 4.21–5.7 mm2/s; cetane index 46.03; pour point of ?15°C and gross calorific value of 40.135 MJ/kg and oxidative stability of 2.35 hours. The properties are well within the Indian, European and American standard limits recommended for biodiesel except the oxidation stability, which can be improved by adding antioxidant additives. The engine performance studies of B10 and B20 blends of Scleropyrum pentandrum biodiesel (SP biodiesel) with statistical inference confirmed that it can be used as a fuel in CI engines without any engine modifications. The engine exhaust emission analysis showed that the emission of hydrocarbons can be minimized by at least 15–20%, CO emission by 15%, smoke opacity by 10–12% and moderately lesser CO2 and NOx emissions. 相似文献
4.
Caleb A. Buahin Nikhil Sangwan Cassandra Fagan David R. Maidment Jeffery S. Horsburgh E. James Nelson Venkatesh Merwade Curtis Rae 《Journal of the American Water Resources Association》2017,53(2):300-315
One approach for performing uncertainty assessment in flood inundation modeling is to use an ensemble of models with different conceptualizations, parameters, and initial and boundary conditions that capture the factors contributing to uncertainty. However, the high computational expense of many hydraulic models renders their use impractical for ensemble forecasting. To address this challenge, we developed a rating curve library method for flood inundation forecasting. This method involves pre‐running a hydraulic model using multiple inflows and extracting rating curves, which prescribe a relation between streamflow and stage at various cross sections along a river reach. For a given streamflow, flood stage at each cross section is interpolated from the pre‐computed rating curve library to delineate flood inundation depths and extents at a lower computational cost. In this article, we describe the workflow for our rating curve library method and the Rating Curve based Automatic Flood Forecasting (RCAFF) software that automates this workflow. We also investigate the feasibility of using this method to transform ensemble streamflow forecasts into local, probabilistic flood inundation delineations for the Onion and Shoal Creeks in Austin, Texas. While our results show water surface elevations from RCAFF are comparable to those from the hydraulic models, the ensemble streamflow forecasts used as inputs to RCAFF are the largest source of uncertainty in predicting observed floods. 相似文献
5.
Dutta Harsh Kaushik Geetanjali Dutta Venkatesh 《Environmental science and pollution research international》2022,29(57):85688-85699
Environmental Science and Pollution Research - Recent research in many parts of the world has pointed towards evidence of SARS-CoV-2 RNA in both treated and raw municipal wastewater discharged by... 相似文献
6.
Spatiotemporal Evaluation of Simulated Evapotranspiration and Streamflow over Texas Using the WRF‐Hydro‐RAPID Modeling Framework 下载免费PDF全文
Peirong Lin Mohammad Adnan Rajib Zong‐Liang Yang Marcelo Somos‐Valenzuela Venkatesh Merwade David R. Maidment Yan Wang Li Chen 《Journal of the American Water Resources Association》2018,54(1):40-54
This study assesses a large‐scale hydrologic modeling framework (WRF‐Hydro‐RAPID) in terms of its high‐resolution simulation of evapotranspiration (ET) and streamflow over Texas (drainage area: 464,135 km2). The reference observations used include eight‐day ET data from MODIS and FLUXNET, and daily river discharge data from 271 U.S. Geological Survey gauges located across a climate gradient. A recursive digital filter is applied to decompose the river discharge into surface runoff and base flow for comparison with the model counterparts. While the routing component of the model is pre‐calibrated, the land component is uncalibrated. Results show the model performance for ET and runoff is aridity‐dependent. ET is better predicted in a wet year than in a dry year. Streamflow is better predicted in wet regions with the highest efficiency ~0.7. In comparison, streamflow is most poorly predicted in dry regions with a large positive bias. Modeled ET bias is more strongly correlated with the base flow bias than surface runoff bias. These results complement previous evaluations by incorporating more spatial details. They also help identify potential processes for future model improvements. Indeed, improving the dry region streamflow simulation would require synergistic enhancements of ET, soil moisture and groundwater parameterizations in the current model configuration. Our assessments are important preliminary steps towards accurate large‐scale hydrologic forecasts. 相似文献
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8.
Sanjiv Kumar Venkatesh Merwade 《Journal of the American Water Resources Association》2009,45(5):1179-1196
Abstract: Impact of watershed subdivision and soil data resolution on Soil Water Assessment Tool (SWAT) model calibration and parameter uncertainty is investigated by creating 24 different watershed model configurations for two study areas in northern Indiana. SWAT autocalibration tool is used to calibrate 14 parameters for simulating seven years of daily streamflow records. Calibrated parameter sets are found to be different for all 24 watershed configurations, however in terms of calibrated model output, their effect is minimal. In some cases, autocalibration is followed by manual calibration to correct for low flows, which were underestimated during autocalibration. In addition to normal validation using four years of streamflow data for each calibrated parameter set, cross‐validation (using a calibrated parameter set from one model configuration to validate observations using another configuration) is performed to investigate the effect of different model configurations on streamflow prediction. Results show that streamflow output during cross‐validation is not affected, thus highlighting the non‐unique nature of calibrated parameters in hydrologic modeling. Finally, parameter uncertainty is investigated by extracting good parameter sets during the autocalibration process. Parameter uncertainty analysis suggests that significant parameters show very narrow range of uncertainty across different watershed configurations compared with nonsignificant parameters. Results from recalibration of some configurations using only six significant parameters were comparable to that from calibration using 14 parameters, suggesting that including fewer significant parameters could reduce the uncertainty arising from model parameters, and also expedite the calibration process. 相似文献
9.
Philip T. Chao Benjamin F. Hobbs Boddu N. Venkatesh 《Journal of the American Water Resources Association》1999,35(6):1485-1497
ABSTRACT: In two workshops, we evaluated decision analysis methods for comparing Lake Erie levels management alternatives under climate change uncertainty. In particular, we wanted to see how acceptable and effective those methods could be in a public planning setting. The methods evaluated included simulation modeling, scenario analysis, decision trees and structured group discussions. We evaluated the methods by interviewing the workshop participants before and after the workshops. The participants, who were experienced Great Lakes water resources managers, concluded that simulation modeling is user-friendly enough to enable scenario analysis even in workshop settings for large public planning studies. They felt that simulation modeling can improve not only understanding of the system, but also of the options for managing it. Scenario analysis revealed that the decision for the case study, Lake Erie water level regulation, could be altered by the likelihood of climate change. The participants also recommended that structured group discussions be used in public planning settings to elicit ideas and opinions. On the other hand, the participants were less optimistic about decision trees because they felt that the public might view subjective probabilities as difficult to understand and subject to manipulation. 相似文献
10.
Sharma Urvashi Khan Adeeba Dutta Venkatesh 《Environment, Development and Sustainability》2021,23(11):16015-16037
Environment, Development and Sustainability - Groundwater is the major primary source of drinking and irrigation water for nearly 500 million inhabitants in both rural and urban areas of the Ganga... 相似文献