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首页> 外文期刊>Earth Surface Processes and Landforms: The journal of the British Geomorphological Research Group >Applying Pattern Oriented Sampling in current fieldwork practice to enable more effective model evaluation in fluvial landscape evolution research
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Applying Pattern Oriented Sampling in current fieldwork practice to enable more effective model evaluation in fluvial landscape evolution research

机译：在当前实地工作实践中应用模式取样采样，使河流景观进化研究中的更有效的模型评估

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Field geologists and geomorphologists are increasingly looking to numerical modelling to understand landscape change over time, particularly in river catchments. The application of landscape evolution models (LEMs) started with abstract research questions in synthetic landscapes. Now, however, studies using LEMs on real-world catchments are becoming increasingly common. This development has philosophical implications for model specification and evaluation using geological and geomorphological data, besides practical implications for fieldwork targets and strategy. The type of data produced to drive and constrain LEM simulations has very little in common with that used to calibrate and validate models operating over shorter timescales, making a new approach necessary. Here we argue that catchment fieldwork and LEM studies are best synchronized by complementing the Pattern Oriented Modelling (POM) approach of most fluvial LEMs with Pattern Oriented Sampling (POS) fieldwork approaches. POS can embrace a wide range of field data types, without overly increasing the burden of data collection. In our approach, both POM output and POS field data for a specific catchment are used to quantify key characteristics of a catchment. These are then compared to provide an evaluation of the performance of the model. Early identification of these key characteristics should be undertaken to drive focused POS data collection and POM model specification. Once models are evaluated using this POM/POS approach, conclusions drawn from LEM studies can be used with greater confidence to improve understanding of landscape change. (c) 2018 John Wiley & Sons, Ltd.
机译：现场地质学家和地貌师越来越多地期待数值模型，以了解景观随着时间的推移，特别是在河流集水区内。景观演化模型（LEMS）的应用开始于综合景观中的抽象研究问题。然而，现在，使用LEMS对现实世界集水区的研究变得越来越普遍。除了实地性目标和策略的实际影响，这种发展对模型规范和评估的模型规范和评估具有哲学意义。为驱动和约束LEM模拟产生的数据类型与用于校准和验证在较短时间尺度上操作的模型的内容具有很少的共同之处，这是必要的新方法。在这里，我们认为，通过补充大多数河流LEM的模式面向模型（POM）方法，最佳地同步了集水灭绝的实地性，并且最佳地同步了大多数河流lems的模式，以模式为导向的采样（POS）实体研发方法。 POS可以包含广泛的现场数据类型，而不会过度增加数据收集的负担。在我们的方法中，针对特定集水区的POM输出和POS字段数据用于量化集水器的关键特性。然后比较这些，以提供对模型性能的评估。应进行早期识别这些关键特性，以驱动聚焦的POS数据收集和POM模型规范。一旦使用此POM / POS方法评估了模型，可以从LEM研究中得出的结论，以更大的信心，以改善对景观变化的理解。 （c）2018 John Wiley＆Sons，Ltd。

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