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Control for Modified University of Cape Town Process Using Oxidation-Reduction Potential in the Second Anoxic Zone
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作者 王晓玲 林英姿 +3 位作者 李娜 张芳 谢添 董利鹏 《Journal of Donghua University(English Edition)》 EI CAS 2013年第3期215-221,共7页
The aim of this work is to evaluate the feasibility of applying the technology of oxidation-reduction potential (ORP) control on the municipal wastewater treatment system for nitrogen and phosphorus removal. Meanwhi... The aim of this work is to evaluate the feasibility of applying the technology of oxidation-reduction potential (ORP) control on the municipal wastewater treatment system for nitrogen and phosphorus removal. Meanwhile the relation between the optimal ORP ( ORPopt ) and influent C/N ratio was evaluated, in which the influent chemical oxygen demand ( COD ) concentration was stabilized at (290 ± 10 ) mg/L, the influent total phosphorus (TP) concentration was stabilized at (7.0 ± 0.5 ) mg/L. The results indicated that: (1) the ORP in the second anoxic zone had effect on nitrogen and phosphorus removal capability, and the average percentages of phosphorus uptake in ANO2 zone ( ηa ) increased with increasing ORP, i. e. , increasing from 12. 0% at - 143 mV to 22.0%,30.0%,37.0%, and45.0% at -123, -111, -105 and -95 mV, respectively; (2) the ORPopt as function of influent C/N ratio could be calculated by the equation: y ffi 252. 73e〈 -x/3.39) _ 131.01 ; the maximum percentage of phosphorus uptake in ANO2 as function of the ORPopt could be calculated by the equation: y ffi -0.49e(x/15.58) + 1. 51. The ORPopt was the important process control parameter that must be optimized for operation of enhanced biological phosphorus removal ( EBPR ) system. Moreover, ORP sensor is very simple, and the industrial applications of this strategy is practical. 展开更多
关键词 modified University of Cape Town (MUCT) process NITRATE oxidation-reduction potential (ORP) phosphorus uptake
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Parameter evaluation for soil erosion estimation on small watersheds using SWAT model
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作者 Fiaz Hussain Ghulam Nabi +2 位作者 Ray-Shyan Wu Bashir Hussain Tanveer Abbas 《International Journal of Agricultural and Biological Engineering》 SCIE EI CAS 2019年第1期96-108,共13页
This research was undertaken for the evaluation of soil erosion using the semi-distributed basin scale SWAT model for four subcatchments of the Dhrabi River Catchment(DRC),which is located in the Pothwar Plateau regio... This research was undertaken for the evaluation of soil erosion using the semi-distributed basin scale SWAT model for four subcatchments of the Dhrabi River Catchment(DRC),which is located in the Pothwar Plateau region.Two subcatchments(catchment-25 and-31)are characterized by gullies while the other two(catchment-27 and-32)are managed with terraced landuse system.The performance of the model was satisfactory with coefficient of determination(R^(2))=0.67 to 0.91 and Nash-Sutcliffe efficiency(ENS)=0.54 to 0.85 for both surface runoff and sediment yield during the calibration(2009-2010)and validation(2011)periods.The PUSLE factor was found to be the most sensitive parameter during model calibration.It was observed that all of the rainfall-runoff events occurred during the monsoon season(June to September).The estimated annual sediment loss ranged from 2.6 t/hm^(2) to 31.1 t/hm^(2) over the duration of the simulation period for the non-terraced catchments,in response to annual precipitation amounts that were between 194.8 mm to 579.3 mm.In contrast,the predicted annual sediment levels for the terraced catchments ranged from 0.52 t/hm^(2) to 10.10 t/hm^(2) due to similar precipitation amounts.The terraced catchments resulted in 4 to 5 times lower sediment yield as compared to non-terraced catchments.The results suggest that there is a huge potential for terraces to reduce soil erosion in the DRC specifically and Pothwar area generally,which have proven to be an efficient approach to establishing soil and water conservation structures in this region. 展开更多
关键词 SWAT modeling sediment yield modified version of Universal Soil Loss Equation(MUSLE) CALIBRATION VALIDATION parameter evaluation small watersheds
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