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191.
A. Bhatia A. GhoshV. Kumar R. TomerS.D. Singh H. Pathak 《Agriculture, ecosystems & environment》2011,144(1):21-28
Physiological changes in crop plants in response to the elevated tropospheric ozone (O3) may alter N and C cycles in soil. This may also affect the atmosphere-biosphere exchange of radiatively important greenhouse gases (GHGs), e.g. methane (CH4) and nitrous oxide (N2O) from soil. A study was carried out during July to November of 2007 and 2008 in the experimental farm of Indian Agricultural Research Institute, New Delhi to assess the effects of elevated tropospheric ozone on methane and nitrous oxide emissions from rice (Oryza sativa L.) soil. Rice crop was grown in open top chambers (OTC) under elevated ozone (EO), non-filtered air (NF), charcoal filtered air (CF) and ambient air (AA). Seasonal mean concentrations of O3 were 4.3 ± 0.9, 26.2 ± 1.9, 59.1 ± 4.2 and 27.5 ± 2.3 ppb during year 2007 and 5.9 ± 1.1, 37.2 ± 2.5, 69.7 ± 3.9 and 39.2 ± 1.8 ppb during year 2008 for treatments CF, NF, EO and AA, respectively. Cumulative seasonal CH4 emission reduced by 29.7% and 40.4% under the elevated ozone (EO) compared to the non-filtered air (NF), whereas the emission increased by 21.5% and 16.7% in the charcoal filtered air (CF) in 2007 and 2008, respectively. Cumulative seasonal emission of N2O ranged from 47.8 mg m−2 in elevated ozone to 54.6 mg m−2 in charcoal filtered air in 2007 and from 46.4 to 62.1 mg m−2 in 2008. Elevated ozone reduced grain yield by 11.3% and 12.4% in 2007 and 2008, respectively. Global warming potential (GWP) per unit of rice yield was the least under elevated ozone levels. Dissolved organic C content of soil was lowest under the elevated ozone treatment. Decrease in availability of substrate i.e., dissolved organic C under elevated ozone resulted in a decline in GHG emissions. Filtration of ozone from ambient air increased grain yield and growth parameters of rice and emission of GHGs. 相似文献
192.
Development of systems for detection, early warning, and control of pipeline leakage in drinking water distribution: A case study 总被引:1,自引:0,他引:1
Weifeng Li Wencui Ling Suoxiang Liu Jing Zhao Ruiping Liu Qiuwen Chen Zhimin Qiang Jiuhui Qu 《环境科学学报(英文版)》2011,23(11):1816-1822
The integrated system for the detection, early warning, and control of pipeline leakage has been successfully developed to manage the pipeline networks of Beijing. 相似文献
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民用建筑工程室内氡的监测方法很多,其中固体径迹探测器法属于国标方法,RAD-7测氡仪法为近年来引进的仪器监测方法。本文对两种方法进行了比较,包括监测方法及原理、比对试验,并分析了2种方法的相关性、一致性和精度,以及两者在民用建筑工程室内氡验收监测的实际应用中的优缺点等,结果表明:以上两种方法从技术角度上讲,各有优点,均能满足一般室内空气中氡浓度的监测要求,虽然可利用固体径迹探测器法累积测量的结果来估算居住者受照剂量,进而评价氡的辐射危害,但因检验周期(至少30 d)过长,所以不适宜于工程检测;比较而言,RAD-7测氡仪的配置参数和测量方式更适宜于民用建筑工程的室内氡监测,已成为目前监测的主要方法,但在实际监测中,还需注意合理设置足够长的采样时间、湿度控制在10%以下、气路中残留气体的冲洗净化以及当初测值接近或超过《规范》规定的限量值时,有必要进一步延长监测时间进行跟踪监测等事项,以保证监测结果准确可靠。 相似文献
197.
2000~2020年长江流域植被NDVI动态变化及影响因素探测 总被引:3,自引:1,他引:2
研究植被动态变化并探测驱动其变化的影响因素,对区域生态环境质量监测和林业恢复工程效应评估具有重要现实意义.利用MODIS NDVI数据、基于站点的气象数据、DEM数据、人口密度数据和夜间灯光数据等,结合Theil-Sen Median斜率估计、Mann-Kendall显著性检验、稳定性分析和地理探测器,在多时空尺度下分析2000~2020年长江流域植被NDVI时空演变特征及稳定性,并探测驱动植被NDVI空间分异的主要影响因素.结果表明,2000~2020年长江流域植被NDVI整体呈波动上升趋势.除太湖水系外,其余流域单元植被NDVI均呈上升趋势.长江流域植被NDVI呈上升趋势的面积占84.09%,其中,呈极显著上升和显著上升的区域占53.67%,主要分布在乌江、宜宾至宜昌、嘉陵江、汉江和洞庭湖水系.除金沙江石鼓以上和太湖水系植被NDVI稳定性较差以外,其他流域单元植被NDVI整体较为稳定.海拔是影响各流域单元植被生长的重要因素,而气候因子对金沙江石鼓以上植被NDVI的影响程度最高,人文因子对乌江、湖口以下干流和太湖水系植被NDVI影响最大.长江流域影响因素双因子交互作用均表现为双因子增... 相似文献
198.
Streamflow Depletion Modeling: Methods for an Adaptable and Conjunctive Water Management Decision Support Tool
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Xander Huggins Tom Gleeson Hailey Eckstrand Ben Kerr 《Journal of the American Water Resources Association》2018,54(5):1024-1038
Groundwater pumping depletes streamflow, which can have significant ecological impacts depending on the magnitude of depletion relative to environmental flow needs. Streamflow depletion estimates from groundwater pumping have been quantified using both analytical and numerical methods, but are not routinely compared to environmental flow needs or used in practical water management tools. Decision support tools that incorporate groundwater dynamics are becoming increasingly necessary for water managers as groundwater regulations become more important in environmental policy, particularly concerning the preservation of environmental flow needs. We develop and apply methods for a web‐based decision support tool for conjunctive groundwater and surface water management, demonstrated using a case study watershed in British Columbia, Canada. Open‐source data are analyzed with a combination of spatial algorithms and previously developed analytical models, such that the tool can be applied to other regions. Streamflow depletion estimates are calculated in four regions in the largely undeveloped Bulkley Valley, British Columbia. Our transparent methodology has geographic and data input flexibility which is a significant improvement on currently existing water management tool methods. 相似文献
199.
准确合理的土壤污染评价方法是进行区域性土壤污染评价的前提.将三角模糊数引入地质累积指数法,结合α-截集技术以及Latin Hypercube抽样(LHS)随机模拟方法对研究区重金属含量差异较大的5种不同土壤类型(潮土、风沙土、黄绵土、褐土和新积土)分别进行土壤重金属(Cd、Hg、As、Pb和Cr)累积性评价,能够避免因... 相似文献
200.
Celso M. Ferreira Francisco Olivera Jennifer L. Irish 《Journal of the American Water Resources Association》2014,50(1):219-233
Arc StormSurge is a data model that integrates geographic information systems and the hurricane wave and surge model SWAN+ADCIRC, which is the coupling of the Simulating WAves Nearshore (SWAN) wave model and the Advanced Circulation (ADCIRC) hydrodynamic model. The Arc StormSurge data model is a geodatabase, which is a relational database that can contain georeferenced information. It includes feature classes in feature datasets and tables, all related among them through relationship classes, and raster catalogs and grids. In addition to the data model schema, Arc StormSurge includes a number of pre‐ and post‐processing tools that help integrate spatial data and numerical modeling. As an illustration, Arc StormSurge was used to support the modeling of Hurricane Bret, which made landfall in the Corpus Christi area in Texas in 1999. By using Arc StormSurge, it was possible to take advantage of already available geo‐referenced information (e.g., base maps, land cover datasets, and monitoring station locations) for the model setup, and for identifying spatial patterns in the model results by presenting them in map format. 相似文献