应用加载磁混凝处理微污染河水

实验对比考察了常规混凝和加载磁混凝工艺对微污染河水中COD、浊度和TP等污染物的去除效果,系统研究了混凝剂用量、磁种加载量、搅拌条件和药剂投加顺序等因素对加载磁混凝效果的影响。实验结果表明,加载磁种后沉淀颗粒的体积平均粒径为从常规混凝工艺的50.1μm显著增加到68.6μm;污染物去除效果明显优于常规混凝工艺,尤其对浊度和总磷的去除效果得到了显著的提升;在实验最优条件下COD、浊度和TP的去除率分别达到54.17%、99.28%和75.82%;并且加载磁种后可减少50%以上的混凝剂投加量,同时大大缩短沉淀时间。     

直接投菌法在城市重污染河流治理中的应用研究

在无截污和清除内源的情况下,对深圳市甘坑河采用梅花式接种法将本源微生物菌剂分两次直接接入河流水体及底泥中。结果表明,第1次接种后的4 d内各项水质指标都不稳定,4 d后,悬浮物、COD、TP和NH3-N等浓度下降,水质明显改善;但从第8天开始,COD、NH3-N和TP的去除率同时下降,本源微生物的处理效率开始降低,需进行第2次接种;第2次接种后,DO浓度提升至2.0 mg/L以上,COD、TP和NH3-N的去除率分别保持在40%、30%和40%以上。结果表明,直接投菌法在城市重污染河道治理中可以初步消除河道的黑臭现象,修复水质。     

有机酸土柱淋洗法修复重金属污染土壤

通过室内模拟实验,采用土柱淋洗方法,研究草酸、柠檬酸、乙酸和酒石酸溶液对某电镀厂附近土壤中重金属的去除效果。探讨了淋洗剂浓度、淋洗次数和淋洗时间等对淋洗效果的影响,研究草酸淋洗前后土壤中重金属形态的变化。结果表明,淋洗过程中铬的去除效果明显滞后于铜、锌和镍3种重金属离子。1 mol/L的草酸在土水比为1∶1,淋洗5h,淋洗4次的条件下可以达到最佳淋洗效果,Cu、Zn、Ni和Cr的去除率分别是99.6%、66.98%、88.7%和18.23%。     

清浊分流条件下的混凝-臭氧处理棉针织印染清废水

根据污染源头控制和废水回用的要求,对典型棉针织染整厂的不同生产过程废水排水水质特征进行了统计分析,提出了较实用的废水源头清浊分流方案。在此基础上重点研究了混凝-臭氧组合工艺对清废水处理效果,确定了最优的工艺条件。结果表明,清废水主要为洗水,占废水总量的25%～30%;混凝-臭氧组合工艺的最优工艺条件为：pH为6～9,PAC投加量为48 mg/L,PAM投加量为1.0 mg/L,臭氧接触时间为12 min（臭氧浓度为14.5 mg/L）,这时,清废水COD、色度去除率分别为71%和98%,实践证明,出水水质完全能够满足染整生产。     

天然黄铁矿的除磷性能

除磷是控制水体富营养化的重要手段。为了考察黄铁矿的除磷特征,采用序批实验,分别研究了反应时间、初始磷浓度和干扰离子（NH4＋、NO3- 和SO24-）对黄铁矿除磷的影响。动力学表明,黄铁矿的除磷过程符合伪二级动力学模型。pH=6．5时,磷的平衡去除量为6．82mg／kg。Langmuir方程能较好描述黄铁矿除磷的吸附等温过程,其磷的饱和吸附量为11．01mg／kg。NH4＋、NO3-和SO24- 对黄铁矿除磷基本没有影响。磷的去除主要是通过铁磷沉淀和铁氧化物及氢氧化物的吸附,去除的磷主要以可被生物利用的Fe、Al-P形态存在。黄铁矿的这些除磷性能和机制对选取黄铁矿作为人工湿地填料实现同步脱氮除磷具有重要指导作用。     

黄菖蒲和狭叶香蒲根系对氮磷的吸收动力学

采用改进的常规耗竭法,研究了黄菖蒲（Iris pseudacorus L.）和狭叶香蒲（Typha angustifolia L.）根系对NH₄⁺、NO₃^-和H₂PO₄^-的吸收特征及差异。结果表明,这2种植物根系对NH₄⁺、NO₃^-和H₂PO₄^-的吸收动力学特征均可采用Michaelis-Menten方程描述。2种植物根系对NH₄⁺、NO₃^-和H₂PO₄^-的亲和力（Km）和最大吸收速率（Vmax）有显著差异。吸收H₂PO₄^-时,黄菖蒲根系具有较高的Vmax值和较低的Km值,说明黄菖蒲具有嗜磷特性,并能够适应广范围浓度的H₂PO₄^-环境,适宜用于污染水体磷的去除;吸收NO₃^-时,狭叶香蒲根系具有较高的Vmax值和较低的Km值,表明狭叶香蒲可用于广范围浓度NO₃^-污染的水体修复;吸收NH₄⁺时,黄菖蒲根系具有较低的Vmax值和Km值,而狭叶香蒲根系具有较高的Vmax值和Km值,说明黄菖蒲适宜用于NH₄⁺污染较轻水体的修复,而在NH₄⁺污染较重水体中宜选用狭叶香蒲作为先锋植物。     

水力条件对复合人工湿地处理城市受污染河水效果的影响

通过对水力负荷、水力停留时间等水力条件的控制,观察其对复合垂直上行流人工湿地处理城市受污染河水效果的影响.一年多来的运行结果表明:水力条件对复合垂直上行流人工湿地去除其他污染物的影响显著,但对总氮去除的影响不大.水力停留时间的延长可提高总磷、氨氮、COD的去除效果;随着水力负荷的增加,总磷、氨氮、COD去除率都有所增加...     

SACRAMENTO RIVER FLOW RECONSTRUCTED TO A.D. 869 FROM TREE RINGS1

ABSTRACT: A time series of annual flow of the Sacramento River, California, is reconstructed to A.D. 869 from tree rings for a long‐term perspective on hydrologic drought. Reconstructions derived by principal components regression of flow on time‐varying subsets of tree‐ring chronologies account for 64 to 81 percent of the flow variance in the 1906 to 1977 calibration period. A Monte Carlo analysis of reconstructed n‐year running means indicates that the gaged record contains examples of drought extremes for averaging periods of perhaps = 6 to 10 years, but not for longer and shorter averaging periods. For example, the estimated probability approaches 1.0 that the flow in A.D. 1580 was lower than the lowest single‐year gaged flow. The tree‐ring record also suggests that persistently high or low flows over 50‐year periods characterize some parts of the long‐term flow history. The results should contribute to sensible water resources planning for the Sacramento Basin and to the methodology of incorporating tree‐ring data in the assessment of the probability of hydrologic drought.     

CAUSES OF PEAK FLOWS IN NORTHWESTERN MONTANA AND NORTHEASTERN IDAHO1

ABSTRACT: Both catchment experiments and a review of hydrologic processes suggest a varying effect of forest harvest on the magnitude of peak flows according to the cause of those peak flows. In northwestern Montana and Northeastern Idaho, annual maximum flows can result from spring snowmelt, rain, mid-winter rain-on-snow, or rain-on-spring-snowmelt. Meteorologic and physical data were used to determine the cause of annual maximum flows in six basins which had the necessary data and were smaller than 150 mi². Rain-on-spring-snowmelt was the most frequent cause of annual maximum flows in all six basins, although there was a strong gradient in the magnitude and cause of peak flows from southwest to northeast. Less frequent mid-winter rain-on-snow events caused the largest flows on record in four basins. Mid-winter rain-on-snow should be distinguished from rain-on-spring-snowmelt because of differences in seasonal timing, the relative contributions of rain vs. snowmelt, and the projected effects of forest harvest. The effects of mixed flood populations on the flood-frequency curve varied from basin to basin. Annual maximum daily flows could not be reliably predicted from rainfall and snowmelt data.     

PRECIPITATION CHANGES FROM 1956 TO 1996 ON THE WALNUT GULCH EXPERIMENTAL WATERSHED1

ABSTRACT: The climate of Southern Arizona is dominated by summer precipitation, which accounts for over 60 percent of the annual total. Summer and non‐summer precipitation data from the USDA‐ARS Walnut Gulch Experimental Watershed are analyzed to identify trends in precipitation characteristics from 1956 to 1996. During this period, annual precipitation increased. The annual precipitation increase can be attributed to an increase in precipitation during non‐summer months, and is paralleled by an increase in the proportion of annual precipitation contributed during non‐summer months. This finding is consistent with previously reported increases in non‐summer precipitation in the southwestern United States. Detailed event data were analyzed to provide insight into the characteristics of precipitation events during this time period. Precipitation event data were characterized based on the number of events, event precipitation amount, 30‐minute event intensity, and event duration. The trend in non‐summer precipitation appears to be a result of increased event frequency since the number of events increased during nonsummer months, although the average amount per event, average event intensity, and average event duration did not. During the summer “monsoon” season, the frequency of recorded precipitation events increased but the average precipitation amount per event decreased. Knowledge of precipitation trends and the characteristics of events that make up a precipitation time series is a critical first step in understanding and managing water resources in semiarid ecosystems.