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Modeling the effect of land cover/land use change on estuarine environmental flows.

机译:模拟土地覆盖/土地利用变化对河口环境流量的影响。

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Environmental flows are important to maintain the ecological integrity of the estuary. In a watershed, it is influenced by land use land cover (LULC) change, climate variability, and water regulations. San Antonio, Texas, the 8th largest city in the US, is likely to affect environmental flows to the San Antonio Bay/Guadalupe Estuary, due to rapid urbanization.;Time series analysis was conducted at several stream gauging stations to assess trends in hydrologic variables. A bootstrapping method was employed to estimate the critical value for global significance. Results suggested a greater number of trends are observed than are expected to occur by chance. Stream gauging stations present in lower half of the watershed experienced increasing trend, whereas upper half experienced decreasing trends. A similar spatial pattern was not observed for rainfall. Winter season observed maximum number of trends.;Wavelet analysis on hydrologic variables, suggested presence of multi-scale temporal variability; dominant frequencies in 10 to 15 year scale was observed in some of the hydrologic variables, with a decadal cycle. Dominant frequencies were also observed in 17 to 23 year scale with repeatability in 20 to 30 years. It is therefore important to understand various ecological processes that are dominant in this scale and quantify possible linkages among them.;Genetic algorithm (GA) was used for calibration of the Hydrologic Simulation Program in FORTRAN (HSPF) model. Although, GA is computationally demanding, it is better than manual calibration. Parameter values obtained for the calibrated model had physical representation and were well within the ranges suggested in the literature. Information from LANDSAT images for the years 1987, 1999, and 2003 were introduced to HSPF to quantify the impact of LULC change on environmental flows.;Modeling studies indicated, with increase in impervious surface, peak flows increased over the years. Wavelet analysis pointed, that urbanization also impacted storage. Modeling studies quantified, on average about 50% of variability in freshwater inflows could be attributed to variation in precipitation, and approximately 10% of variation in freshwater inflows could be attributed to LULC change.;This study will help ecologist, engineers, scientist, and politicians in policy making pertinent to water resources management.
机译:环境流量对于维持河口的生态完整性很重要。在一个流域中,它受土地利用土地覆盖(LULC)变化,气候多变性和水法规的影响。得克萨斯州圣安东尼奥市,美国第八大城市,由于城市化进程迅速,很可能影响流向圣安东尼奥湾/瓜达卢佩河口的环境。在多个测流站进行了时间序列分析,以评估水文变量的趋势。采用自举法估算全球重要性的临界值。结果表明,观察到的趋势数量要多于偶然发生的趋势。流域下半部的测流站呈上升趋势,而上半部呈下降趋势。降雨没有观察到类似的空间格局。冬季观测到最大趋势。;对水文变量的小波分析,表明存在多尺度时变;在一些水文变量中,观测到了10至15年尺度的主导频率,并伴有年代际周期。在17至23年的规模中也观察到了主导频率,在20至30年中具有可重复性。因此,重要的是要了解在这个规模上占主导地位的各种生态过程,并量化它们之间可能的联系。;遗传算法(GA)用于FORTRAN(HSPF)模型中的水文模拟程序的校准。尽管GA对计算的要求很高,但它比手动校准要好。为校准后的模型获得的参数值具有物理表示,并且完全在文献中建议的范围内。 1987年,1999年和2003年LANDSAT图像中的信息被引入HSPF,以量化LULC变化对环境流量的影响。;建模研究表明,随着不透水表面的增加,峰值流量在过去几年中也有所增加。小波分析指出,城市化也影响了存储。建模研究进行了量化,平均而言,淡水流入量的变化约50%归因于降水变化,而淡水流入量的约10%归因于LULC的变化。该研究将有助于生态学家,工程师,科学家和与水资源管理有关的政策制定者。

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