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Simulation of root water uptake with heterogeneous vegetation cover and influences of urbanization and topographic attributes on hydrology of shallow water table environments.

机译:模拟植被覆盖不均的根系水分吸收以及城市化和地形属性对浅层地下水环境水文学的影响。

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Field data collected from the proposed Tampa Bay Regional Reservoir site in west central Florida is utilized to calibrate and validate the HYDRUS-2D, a two dimensional finite element variable saturation model. The model is modified to compute Root Water Uptake (RWU) in two sub regions, the riparian zone and the pasture land in the same transport domain by normalizing the root zone over each part of the domain separately. Actual RWU during wet season is 40 percent higher than that during the dry season. According to modified model results RWU from riparian zone is 38 percent and 56 percent higher than pasture land during the dry and wet seasons respectively. The model is then coupled with a software package for digital terrain and river network analysis, RIVER TOOLS, to quantify the influences on local hydrology due to urbanization and ground slope for the same landscape. To visualize the complexity of the landscape and topography at the Long Flat Creek, a tributary of Alafia River in west central Florida, a Digital Elevation Model (DEM) is developed from one-foot contour, and used to extract the topographic settings of the landscape in the source area using the DEM. The impact of urbanization is simulated as increased fractions of impervious areas upstream, keeping the riparian corridor as a buffer zone. Multiple simulations are conducted with different fractions of surface sealing corresponding to different degrees of urbanization. A 50 percent increase in urbanization reduces the cumulative infiltration, base flow and transpiration by 48.4, 47.3 and 41.4 percent respectively. The corresponding figures for 75 percent increase are 23.6, 13.6, and 44.5 percent respectively. In addition, different simulations are conducted for different slopes to isolate the impacts of slope on local hydrology. The effect of surface slope on infiltration is found to be negligible due to the presence of high porosity sandy soil in the study area. The milder slopes generate lower base flow than steeper slopes. Comparison of depth to water table computed from HYDRUS-2D and TOPMODEL concepts revealed that depth to water table increases with increasing urbanization and computed water depths from both methods provided a good match with observed water levels.
机译:从佛罗里达州中西部提议的坦帕湾区域水库站点收集的现场数据用于校准和验证二维有限元变量饱和度模型HYDRUS-2D。对该模型进行了修改,以通过分别对域的每个部分的根区进行归一化,来计算同一运输域中两个子区域(河岸带和牧场)的根系水分吸收(RWU)。雨季的实际RWU比旱季高40%。根据修改后的模型结果,在干旱和潮湿季节,河岸带的RWU分别比牧场高38%和56%。然后将该模型与用于数字地形和河网分析的软件包RIVER TOOLS耦合,以量化同一景观的城市化和地面坡度对当地水文的影响。为了可视化佛罗里达州中西部Alafia河支流Long Flat Creek的景观和地形的复杂性,从一英尺的轮廓线开发了数字高程模型(DEM),用于提取景观的地形设置在源区域中使用DEM。城市化的影响被模拟为上游不渗透区域的比例增加,使河岸走廊保持为缓冲区。使用对应于不同城市化程度的不同比例的表面密封进行了多次模拟。城市化水平提高50%,可使累计入渗量,基础流量和蒸腾量分别减少48.4%,47.3%和41.4%。 75%增长的相应数字分别为23.6%,13.6%和44.5%。此外,针对不同的坡度进行了不同的模拟,以隔离坡度对当地水文的影响。由于研究区域内存在高孔隙度的沙质土壤,表面坡度对入渗的影响可忽略不计。较缓和的斜坡产生的基流较低。根据HYDRUS-2D和TOPMODEL概念计算出的地下水位深度可以看出,随着城市化程度的提高,地下水位深度也随之增加,两种方法计算出的水深与观测的水位高度吻合。

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