Abstract:In order to understand the filtration performance of the sand filter under different water source conditions, two typical drip irrigation water sources, Yellow River water and reclaimed water, were selected to analyze the particle removal rate and head loss of sand filter by using particle of three different sizes and five filtration rates. The difference of the filtration performance of the sand and filter under two water sources was emphatically compared. The results shows that: the removal effect of sand filter on turbidity of reclaimed water is better than that of Yellow River water, and the turbidity removal rate is increased by 5.95%-65.30%. Under the Yellow River water condition, the head loss of sand filter is greater than that of reclaimed water, and the head loss is increased by 34.90%-68.40%. With the increase of operating time, the turbidity removal rate of sand filter on the reclaimed water increases gradually, while the turbidity removal rate of sand filter on yellow river water did not change significantly. With the increase of filtration velocity, the turbidity removal rate of reclaimed water sand filter increased first and then decreased, while the turbidity removal rate of yellow river water sand filter remains unchanged. Based on the results of this study, under the condition of yellow river water, it is strongly recommended to select the filtration parameters of sand filter with particle size between 1.00-1.70 mm and filtration velocity of 0.012 m/s. As for reclaimed water, it is recommended to select particle size of between 1.70-2.35 mm and filtration velocity of 0.015 m/s. The results can provide theoretical reference for the selection of filtration system under different water quality conditions.
任亚楠,李淑芹*,刘泽元,侯鹏,李云开. 不同工况下砂石过滤器对黄河水和再生水过滤性能影响[J]. 排灌机械工程学报, 2023, 41(3): 261-267.
REN Yanan,LI Shuqin*,LIU Zeyuan,HOU Peng,LI Yunkai. Effect of sand filter on filtration performance of Yellow River water and reclaimed water under different operating conditions. Journal of Drainage and Irrigation Machinery Engin, 2023, 41(3): 261-267.