三峡库区典型消落带土壤微生物生物量碳、氮的变化特征及其影响因素探讨

本文以三峡库区王家沟一典型消落带为研究对象,选择180、175、165和155 m这4个高程以探讨水位变化对土壤微生物生物量碳(SMBC)和微生物生物量氮(SMBN)的影响.其中,175、165和155m高程坐落在消落带内,分别表现为短、中和长期淹水,180 m高程作为对照,为永不淹水的陆地.土壤样品的采集深度为0~20 cm,每周采集一次.结果表明,180 m高程处土壤有机碳(SOC)和全氮(TN)均无明显的季节变化,而175 m高程处SOC和TN季节变化明显,表现为春夏季高于秋冬季;各高程上的SMBC和SMBN及其分配比例呈现出秋高夏低的季节变化形态,表明消落带夏季高温低湿的土壤环境限制了微生物活性及土壤有机碳氮的周转速率.数据分析表明,与180 m高程相比,消落带上的175 m和165 m高程SOC、TN、SMBC及微生物商、SMBN及其分配比例均得到不同程度的升高,而155 m高程除了SMBN及其分配比例与对照无显著差异外,其他指标均显著低于对照,表明与未淹水对照点相比较,中短期淹水有利于提高消落带土壤碳氮含量及周转速率和微生物生物量,而长期受到江水淹没胁迫的土壤则会抑制土壤碳氮以及SMBC含量,并降低SOC的周转速率.相关分析表明,SMBC和SMBN均与地下5 cm处温度和p H呈极显著负相关,说明地下5cm处的温度以及p H对土壤微生物生物量有强烈的影响.     

三峡蓄水期间汉丰湖消落区营养状态时间变化

为探明三峡蓄水后汉丰湖消落区水质营养状态的变化特征,于2013年10月至2014年2月对水质进行连续观察,测定了水质物理参数、营养盐与叶绿素(Chl-a)的质量浓度.结果表明,水体中营养盐与Chl-a质量浓度的增加,在淹水后营养程度有升高现象,2014年2月与2013年10月相比,TN、TP、高锰酸盐指数与Chl-a质量浓度分别增加了4.7、1.0、0.2、3.27倍,TN、TP质量浓度均超过藻类生长限值,随滞留时间延长易造成水体富营养化,应引起重视.Chl-a单因子评价反映出水质由贫营养向富营养演变.TN/TP结果表明,TN、TP分别在不同时间内制约着藻类的生长;2013年10~12月与2014年2月,藻类生长受TN限制;2014年1月,藻类生长受TP限制.Chl-a与p H、DO、NH+4-N、NO-3-N、TN、高锰酸盐指数及TP呈显著正相关,而与SD、水温呈显著负相关;蓄水期间,水质受到了同一污染源的影响.因子分析结果表明,汉丰湖消落区水质主要受p H、DO、NO-3-N、TN的影响,同时Chl-a、TP、NH+4-N与好氧性有机物的污染不可忽视;在蓄水稳定初期水体具有自净能力,随蓄水滞留时间的延长,水质污染程度整体上呈现逐步恶化的趋势,应加以控制;三峡蓄水期间,南河、东河营养程度相对较高,应加强治理.     

Preliminary report on methane emissions from the Three Gorges Reservoir in the summer drainage period

Considerable variations may exist in CH4 emissions from the Three Gorges Reservoir.     

顶板含水层防水试验的钻孔单位涌水量计算方法

为了实现利用井下放水试验获取顶板含水层的钻孔单位涌水量,采用抽水试验中的地下水动力学计算公式,结合观测孔的水位降深,给出了放水孔水位降深的计算方法;利用观测孔水位降深和观测孔与放水孔之间距离的对数曲线图,提出了放水孔水位降深的图解法;对于承压含水层,基于钻孔单位涌水量与含水层渗透系数之间的线性相关关系,可以通过含水层的渗透系数获取钻孔单位涌水量;通过实例分析,解析法和图解法计算得到的放水孔单位涌水量相近,结合现场放水试验情况,分析了放水孔单位涌水量的可靠性,并对3种方法的适用条件进行了讨论。研究结果表明:利用放水试验获取的放水孔单位涌水量符合实际情况,可以作为含水层富水性评价和矿井水文地质条件分析的依据。     

增大库水位日降幅联合降雨条件下张家祠堂滑坡稳定性分析

库水位下降对滑坡的稳定性变化有重要影响。以张家祠堂滑坡为例,利用Geo-studio软件的Seep/W模块和Slope/W模块分别对滑坡渗流场和稳定性进行数值模拟计算,分析降雨和不同库水位下降速率对该滑坡稳定性的影响规律,并结合滑坡变形的调查情况和数值模拟计算结果对该滑坡进行稳定性预测与评价。结果表明:张家祠堂滑坡为降雨型滑坡,相对于降雨,增大库水位日降幅对滑坡稳定性影响非常有限;预测在非汛期增大库水位日降幅条件下,滑坡整体基本稳定;滑坡在中前部虽有变形,但滑坡整体并未形成连续贯通的软弱面,因此该滑坡目前为基本稳定;滑坡在最危险工况(库水位日降幅1.2m/d+降雨)下的稳定性系数为1.154,滑坡处于基本稳定状态。     

ANALYTICAL REGRESSION STAGE ANALYSIS FOR DEVILS HOLE,DEATH VALLEY NATIONAL PARK,NEVADA1

ABSTRACT: Devils Hole is a collapse depression connected to the regional carbonate aquifer of the Death Valley ground water flow system. Devils Hole pool is home to an endangered pupfish that was threatened when irrigation pumping in nearby Ash Meadows lowered the pool stage in the 1960s. Pumping at Ash Meadows ultimately ceased, and the stage recovered until 1988, when it began to decline, a trend that continued until at least 2004. Regional ground water pumping and changes in recharge are considered the principal potential stresses causing long term stage changes. A regression was found between pumpage and Devils Hole water levels. Though precipitation in distant mountain ranges is the source of recharge to the flow system, the stage of Devils Hole shows small change in stage from 1937 to 1963, a period during which ground water withdrawals were small and the major stress on stage would have been recharge. Multiple regression analyses, made by including the cumulative departure from normal precipitation with pumpage as independent variables, did not improve the regression. Drawdown at Devils Hole was calculated by the Theis Equation for nearby pumping centers to incorporate time delay and drawdown attenuation. The Theis drawdowns were used as surrogates for pumpage in multiple regression analyses. The model coefficient for the regression, R²= 0.982, indicated that changes in Devils Hole were largely due to effects of pumping at Ash Meadows, Amargosa Desert, and Army 1.     

Passive and active adaptive management: approaches and an example

Adaptive management is a framework for resource conservation that promotes iterative learning-based decision making. Yet there remains considerable confusion about what adaptive management entails, and how to actually make resource decisions adaptively. A key but somewhat ambiguous distinction in adaptive management is between active and passive forms of adaptive decision making. The objective of this paper is to illustrate some approaches to active and passive adaptive management with a simple example involving the drawdown of water impoundments on a wildlife refuge. The approaches are illustrated for the drawdown example, and contrasted in terms of objectives, costs, and potential learning rates. Some key challenges to the actual practice of AM are discussed, and tradeoffs between implementation costs and long-term benefits are highlighted.     

DECLINING POTENTIOMETRIC LEVELS IN FORT WALTON BEACH AREA,FLORIDA1

ABSTRACT: The Fort Walton Beach area is presently faced with an excessive drawdown of the potentiometric level in the upper Floridan aquifer. Based on available data, the potentiometric level in the Floridan aquifer has dropped 162 feet since 1936. This declining potentiometric level can lead to problems and possible loss of the natural resource on a long-term basis. However, if corrective measures or programs for proper management of groundwater resources are undertaken at this time, the potential problems may be averted.     

LABORATORY EXPERIMENTS AS AN AID TO LAKE RESTORATION DECISIONMAKING1

ABSTRACT: The choice of a lake rehabilitation technique can be assisted by laboratory experiments concerned with the composition and properties of the sediments. This work on Sawgrass Lake, Pinellas County, Florida, provides an example of the type of laboratory information that can be useful towards making decisions regarding the most effective restorative techniques. Experiments include chemical analysis of sediment (water content, organic content, pesticides, nutrients), rate of sediment compaction and rehydration at ambient conditions, and the effect of treatment with alum and other chemicals.     

NONLINEAR DUPUIT EQUATIONS FOR THE PHREATIC SURFACE OF A SEMI-INFINITE AQUIFER1

ABSTRACT. We present a new approach to the nonlinear equations for the phreatic surface of groundwater flow from or into a reservoir. The differential equation is converted into an equivalent integral equation, which is then solved by a method of iteration. We obtain exact results for both drawdown and infiltration, including the special case of groundwater penetration into dry soil.