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预测佛罗里达州中部降雨事件对地下水位的影响。

Predicting water table response to rainfall events, central Florida.

机构信息

Department of Natural Sciences, St. Petersburg College, 9200 113th St. North, Seminole, FL 33772, USA.

出版信息

Ground Water. 2013 May-Jun;51(3):350-62. doi: 10.1111/j.1745-6584.2012.00970.x. Epub 2012 Jul 26.

Abstract

A rise in water table in response to a rainfall event is a complex function of permeability, specific yield, antecedent soil-water conditions, water table level, evapotranspiration, vegetation, lateral groundwater flow, and rainfall volume and intensity. Predictions of water table response, however, commonly assume a linear relationship between response and rainfall based on cumulative analysis of water level and rainfall logs. By identifying individual rainfall events and responses, we examine how the response/rainfall ratio varies as a function of antecedent water table level (stage) and rainfall event size. For wells in wetlands and uplands in central Florida, incorporating stage and event size improves forecasting of water table rise by more than 30%, based on 10 years of data. At the 11 sites studied, the water table is generally least responsive to rainfall at smallest and largest rainfall event sizes and at lower stages. At most sites the minimum amount of rainfall required to induce a rise in water table is fairly uniform when the water table is within 50 to 100 cm of land surface. Below this depth, the minimum typically gradually increases with depth. These observations can be qualitatively explained by unsaturated zone flow processes. Overall, response/rainfall ratios are higher in wetlands and lower in uplands, presumably reflecting lower specific yields and greater lateral influx in wetland sites. Pronounced depth variations in rainfall/response ratios appear to correlate with soil layer boundaries, where corroborating data are available.

摘要

水位上升是对降雨事件的复杂响应,它与渗透率、比水容量、前期土壤水分条件、地下水位、蒸散作用、植被、侧向地下水流动以及降雨量和降雨强度等因素有关。然而,水位响应的预测通常基于水位和降雨量记录的累积分析,假设响应与降雨量之间存在线性关系。通过识别单个的降雨事件及其响应,我们研究了响应/降雨量比如何随前期地下水位(水位阶段)和降雨事件大小而变化。对于佛罗里达州中部湿地和高地的水井,基于 10 年的数据,考虑水位阶段和事件大小可以将水位上升的预测提高 30%以上。在研究的 11 个地点,地下水位在最小和最大降雨事件以及较低水位阶段时对降雨的响应最小。在大多数地点,当地下水位距离地面 50 至 100 厘米时,引起地下水位上升所需的最小降雨量相当均匀。在这个深度以下,最小降雨量通常随着深度的增加而逐渐增加。这些观察结果可以通过非饱和带流动过程进行定性解释。总体而言,湿地的响应/降雨量比高于高地,这可能反映了湿地地点的比水容量较低和侧向流入量较大。在可用佐证数据的情况下,降雨/响应比的显著深度变化似乎与土壤层边界相关。

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