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首页> 外文期刊>Journal of the American Water Resources Association >RECONSTRUCTIONS OF SOIL MOISTURE FOR THE UPPER COLORADO RIVER BASIN USING TREE-RING CHRONOLOGIES
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RECONSTRUCTIONS OF SOIL MOISTURE FOR THE UPPER COLORADO RIVER BASIN USING TREE-RING CHRONOLOGIES

机译：利用树环年代学方法重建科罗拉多州上流域的土壤水分

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摘要

Soil moisture is an important factor in the global hydrologic cycle, but existing reconstructions of historic soil moisture are limited. We used tree-ring chronologies to reconstruct annual soil moisture in the Upper Colorado River Basin (UCRB). Gridded soil moisture data were spatially regionalized using principal components analysis and k-nearest neighbor techniques. We correlated moisture sensitive tree-ring chronologies in and adjacent to the UCRB with regional soil moisture and tested the relationships for temporal stability. Chronologies that were positively correlated and stable for the calibration period were retained. We used step-wise linear regression to identify the best predictor combinations for each soil moisture region. The regressions explained 42-78% of the variability in soil moisture data. We performed reconstructions for individual soil moisture grid cells to enhance understanding of the disparity in reconstructive skill across the regions. Reconstructions that used chronologies based on ponderosa pines (Pinus ponderosa) and pinyon pines (Pinus edulis) explained more variance in the datasets. Reconstructed soil moisture data was standardized and compared with standardized reconstructed streamflow and snow water equivalent data from the same region. Soil moisture and other hydrologic variables were highly correlated, indicating reconstructions of soil moisture in the UCRB using tree-ring chronologies successfully represent hydrologic trends.
机译：土壤水分是全球水文循环的重要因素，但是历史土壤水分的现有重建方法有限。我们使用树轮年表来重建上科罗拉多河盆地（UCRB）的年土壤湿度。使用主成分分析和k最近邻技术对栅格化的土壤水分数据进行了空间分区。我们将UCRB内和附近的对湿度敏感的树轮年表与区域土壤湿度相关联，并测试了时间稳定性的关系。在校准期间保持正相关和稳定的时间顺序。我们使用逐步线性回归来确定每个土壤水分区域的最佳预测变量组合。回归分析解释了土壤水分数据中42-78％的变化。我们对各个土壤水分网格单元进行了重建，以增强对整个地区重建技能差异的理解。使用基于美国黄松（Pinus tankerosa）和美国松黄松（Pinus edulis）的时间顺序进行的重构说明了数据集中的更多差异。对重建后的土壤水分数据进行了标准化，并与来自同一地区的标准化重建后的流量和雪水当量数据进行了比较。土壤水分与其他水文变量高度相关，这表明使用树轮年代学方法对UCRB土壤水分的重建成功地代表了水文趋势。

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