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Scott Murtishaw Jayant Sathaye Christina Galitsky Kristel Dorion 《Mitigation and Adaptation Strategies for Global Change》2006,11(3):645-665
The Lawrence Berkeley National Laboratory (Berkeley Lab) and the Center for Sustainable Development in the Americas (CSDA)
conducted technical studies and organized two training workshops to develop capacity in Central America for the evaluation
of climate change projects. This paper describes the results of two baseline case studies conducted for these workshops, one
for the power sector and one for the cement industry, that were devised to illustrate certain approaches to baseline setting.
Multiproject baseline emission rates (BERs) for the main Guatemalan electricity grid were calculated from 2001 data. In recent
years, the Guatemalan power sector has experienced rapid growth; thus, a sufficient number of new plants have been built to
estimate viable BERs. We found that BERs for baseload plants offsetting additional baseload capacity ranged from 0.702 kgCO2/kWh
(using a weighted average stringency) to 0.507 kgCO2/kWh (using a 10th percentile stringency), while the baseline for plants
offsetting load-following capacity is lower at 0.567 kgCO2/kWh. For power displaced from existing load-following plants, the
rate is higher, 0.735 kgCO2/kWh, as a result of the age of some plants used for meeting peak loads and the infrequency of
their use. The approved consolidated methodology for the Clean Development Mechanism yields a single rate of 0.753 kgCO2/kWh.
Due to the relatively small number of cement plants in the region and the regional nature of the cement market, all of Central
America was chosen as the geographic boundary for setting cement industry BERs. Unfortunately, actual operations and output
data were unobtainable for most of the plants in the region, and many data were estimated. Cement industry BERs ranged from
205 kgCO2 to 225 kgCO2 per metric ton of cement. 相似文献
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Addition of pesticide-primed soil containing adapted pesticide degrading bacteria to the biofilter matrix of on farm biopurification systems (BPS) which treat pesticide contaminated wastewater, has been recommended, in order to ensure rapid establishment of a pesticide degrading microbial community in BPS. However, uncertainties exist about the minimal soil inoculum density needed for successful bioaugmentation of BPS. Therefore, in this study, BPS microcosm experiments were initiated with different linuron primed soil inoculum densities ranging from 0.5 to 50 vol.% and the evolution of the linuron mineralization capacity in the microcosms was monitored during feeding with linuron. Successful establishment of a linuron mineralization community in the BPS microcosms was achieved with all inoculum densities including the 0.5 vol.% density with only minor differences in the time needed to acquire maximum degradation capacity. Moreover, once established, the robustness of the linuron degrading microbial community towards expected stress situations proved to be independent of the initial inoculum density. This study shows that pesticide-primed soil inoculum densities as low as 0.5 vol.% can be used for bioaugmentation of a BPS matrix and further supports the use of BPS for treatment of pesticide-contaminated wastewater at farmyards. 相似文献
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Incorporating Landscape Attributes into Models for Migratory Grassland Bird Conservation 总被引:7,自引:0,他引:7
Kristel K. Bakker § David E. Naugle † Kenneth F. Higgins‡ 《Conservation biology》2002,16(6):1638-1646
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Tineke De Wilde Pieter Spanoghe Kristel Sniegowksi Peter Jaeken Dirk Springael 《Environmental pollution (Barking, Essex : 1987)》2009,157(4):1373-1381
The efficiency of biopurification systems to treat pesticide-contaminated water was previously studied in microcosms. To validate the obtained results, macrocosm systems were set-up. Four pesticides (linuron, isoproturon, bentazone, and metalaxyl) were continuously applied to ten different organic substrate mixes. Retention of the pesticides was similar and in some cases slightly lower in the macrocosms compared to the microcosms. Differences in retention between the different mixes were however minimal. Moreover, the classification of the retention strength of the pesticides was identical to that observed in microcosms: linuron > isoproturon > metalaxyl > bentazone. Monod kinetics were used to describe delayed degradation, which occurred for isoproturon, metalaxyl and bentazone. No breakthrough of linuron was observed, thus, this pesticide was appointed as the most retained and/or degraded pesticide, followed by isoproturon, metalaxyl and bentazone. Finally, most of the matrix mixes efficient in degrading or retaining pesticides were mixes containing dried cow manure. 相似文献
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De Wilde T Mertens J Simunek J Sniegowksi K Ryckeboer J Jaeken P Springael D Spanoghe P 《Environmental pollution (Barking, Essex : 1987)》2009,157(2):463-473
Biopurification systems treating pesticide contaminated water are very efficient, however they operate as a black box. Processes inside the system are not yet characterized. To optimize the performance, knowledge of degradation and retention processes needs to be generated. Therefore, displacement experiments were carried out for four pesticides (isoproturon, bentazone, metalaxyl, linuron) in columns containing different organic mixtures. Bromide, isoproturon and bentazone breakthrough curves (BTCs) were well described using the convection-dispersion equation (CDE) and a first-order degradation kinetic approach. Metalaxyl and linuron BTCs were well described using the CDE model expanded with Monod-type kinetics. Freundlich sorption, first-order degradation and Monod kinetics coefficients were fitted to the BTCs. Fitted values of the distribution coefficient Kf,column were much lower than those determined from batch experiments. Based on mobility, pesticides were ranked as: bentazone > metalaxyl - isoproturon > linuron. Based on degradability, pesticides were ranked as: linuron > metalaxyl - isoproturon > bentazone. 相似文献