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Modelling of Exposed Bedrock and Soil Depth in the Critical Zone of Southern British Columbia

机译:不列颠哥伦比亚省南部临界区裸露的基岩和土壤深度模拟

摘要

The Critical Zone (CZ) is the complex interaction of the hydrosphere, atmosphere, lithosphere, biosphere and pedosphere. It is in the CZ where most biological activity on earth can be found. At the centre of the CZ, the pedosphere is the medium in which all other regions of the CZ interact. The main objective of this study was to model two aspects of the CZ: the presence of exposed bedrock (EB) areas and the depth of the pedosphere (soil depth) in the Tulameen region of Southern British Columbia. Random Forest (RF) a classification tree method was used to predict the presence of EB. Prediction accuracy was found to be 88% with an independent validation dataset. The top three predictors of EB presence, which are a Landsat 7 PCA, Topographic Ruggedness Index (TRI), and a Normalized Difference Vegetation Index (NDVI) were further explored with modified partial dependence plots (PDPs) to determine the probability of EB presence. The depth of the pedosphere was predicted with a Generalized Linear Model (GLM), Random Forest (RF) and Residual Kriging (RK). Depth measurements came from the predicted EB layer which acted as a proxy for 0 m depth. In addition well water and soil pit information were used to define deeper depths for the region. GLM with RK was determined to produce the best model to measure depth, with an RMSE of 0.9 m in the 0 to 2 m range for depth measurements. EB proved to be a reliable and efficient proxy in addition to conventional soil depth measurements which are time consuming and costly to generate. The obtained results indicate that GLM with RK and the use of EB layers can aid in further studies of the CZ.
机译:临界区(CZ)是水圈,大气层,岩石圈,生物圈和圈圈的复杂相互作用。在CZ可以找到地球上大多数生物活动。在CZ的中心,对流层是CZ其他所有区域相互作用的媒介。这项研究的主要目的是对CZ的两个方面进行建模:裸露的基岩(EB)区域的存在和不列颠哥伦比亚省南部图拉芬地区的圈地深度(土壤深度)。随机森林(RF)的分类树方法用于预测EB的存在。使用独立的验证数据集,预测准确性为88%。 EB出现的前三个预测因子,即Landsat 7 PCA,地形崎three指数(TRI)和归一化植被指数(NDVI),通过修改的部分依赖图(PDP)进一步确定了EB出现的可能性。利用广义线性模型(GLM),随机森林(RF)和残差克里金法(RK)预测了土壤圈的深度。深度测量来自预测的EB层,该层充当0 m深度的代理。另外,井水和土坑信息用于定义该区域的更深深度。确定使用RK的GLM可以产生最佳的深度测量模型,RMSE在0至2 m范围内为0.9 m,用于深度测量。除了传统的土层深度测量方法(这既费时又费钱)之外,EB被证明是可靠且有效的代理。获得的结果表明,带有RK的GLM和使用EB层可以帮助进一步研究CZ。

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