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This article assesses the performance of two hydrologic models in simulating warm‐season runoff for two upland, low‐yield micro‐catchments near Coshocton, Ohio. The two models, namely the Storm Water Management Model (SWMM) and the Gridded Surface‐Subsurface Hydrologic Analysis (GSSHA), were implemented with contrasting levels of complexity, with the former representing the catchments as lumped spatial units and computing evaporation only from standing water, and the latter incorporating fine‐scale variation in topography and soil properties and computing evapotranspiration from soil based on weather data. Our investigation began with uncalibrated model runs for 1990‐2003 except for 1994 using a priori parameter values. Then a set of calibration experiments were performed wherein the sensitivity of model performance to the length of calibration records was examined. Our results pointed to large errors associated with simulations from both models: even the calibrated models were unable to reproduce the seasonal and between‐catchment contrasts in runoff response. Using a priori parameter values, SWMM attained better results than GSSHA. However, with simple calibration, GSSHA outperformed SWMM in several respects. It was also found that extending the record of calibration rendered relatively minor changes to model performance. The practical and scientific implications of the findings are discussed. 相似文献
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曝气条件下采用微电解-Fenton工艺处理模拟染料废水。在最佳微电解工艺即铁炭比为45 g∶45 g,pH=3,反应时间为60 min;在Fenton工艺pH值为3,H2O2投加量0.7 mL,反应时间为120 min时,染料废水总脱色率达92%,其色度去除率高于单独微电解工艺时的63%和单独Fenton工艺时的67%。模拟染料废水经微电解及Fenton工艺处理后,废水pH值、Fe2+浓度和色度均发生变化。 相似文献
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为了提高微地震信号分析的精度,对模拟振动信号进行了试验,得到了时窗因子对ST(S-Transform)时频分辨率的影响,基于ST的良好时窗自适应性和高时频分辨率,进一步将其应用于泸沽铁矿巷道微地震监测数据的处理。结果表明:ST能准确提取信号属性用以构造特征向量,实现了矿山微地震监测中多源信号的量化分类,并为矿山微地震信号的自动识别与分析提出了新思路。 相似文献
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铁炭微电解法降解1-丁基-3-甲基咪唑六氟磷酸盐 总被引:2,自引:0,他引:2
使用铁炭微电解法降解1-丁基-3-甲基咪唑六氟磷酸盐([BMIM]PF6),并探讨了铁炭微电解法降解[BMIM]PF6的影响因素、工艺条件及其反应动力学.结果表明,影响铁炭微电解降解[BMIM]PF6的因素按从大到小的顺序为:炭铁比、pH、反应时间;铁炭微电解降解[BMIM]PF6的最佳工艺条件是:铁粉用量3g.l-1、水样pH2.5、炭铁比2、反应时间为60—90min;在此条件下,[BMIM]PF6的去除效率可以达到90%以上且该降解反应为三级反应. 相似文献
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微絮凝直接纤维过滤去除低浊水中的腐殖质 总被引:2,自引:0,他引:2
通过批量和连续动态试验研究了微絮凝直接纤维过滤去除低浊饮用水中微量腐殖质的效能与条件.结果表明,富里酸( FA) 的去除率与纤维滤料的堆密度、絮凝剂的投加量、过滤速度、原水浊度等有关.对10NTU 以下的模拟低浊水,适宜的纤维堆密度为74.4g/L,滤床高为1.2mm .在此条件下,当过滤速度为30m/h、原水浊度约9NTU 、聚合氯化铝(PAC) 投加量1.75mg/L 时,对水中2mg/L 的FA平均去除率约75 % ,工作周期( 浊度小于0.3NTU 、水头损失小于1.8m ) 在24h以上. 相似文献
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Chi-Yuan Lee Fang-Bor Weng Ten-Lom Chen Fan-Hsuan Liu 《International Journal of Green Energy》2016,13(6):624-629
This study developed an integrated (flow, voltage, and temperature) micro sensor using the micro-electro-mechanical systems (MEMS) technology. It was inserted into the high temperature proton exchange membrane fuel cell (HT-PEMFC) for local real-time measurement. The integrated micro sensor is made of 40 µm thick stainless steel base material, and its protective layer is formed by polyimide (PI) that has better temperature resistance. The integrated micro sensor has three functions, and is favorably characterized by small size, good acid resistance and temperature resistance, quick response, real-time measurement, and being able to be put in any place for measurement. After calibration, and its reliability confirmed, the integrated micro sensor is inserted into the HT-PEMFC for local microcosmic measurement. 相似文献