MARGINS Post-Doctoral Fellowship: A synthesis model for the Fly River dispersal system, Papua New Guinea

PI将在高分辨率数值模型中合并来自巴布亚湾MARGINS焦点站点的所有现有结果，以代表整个Fly River系统。这种整体方法将允许确定如何通过整个系统的运输改变沉积物的规模和交付到海洋沉积汇。PI将在不同的机构（波士顿大学，华盛顿大学，加州大学伯克利分校和科罗拉多大学）度过两年博士后奖学金的每个学期，与积极参与飞河系统研究项目的科学家合作。所开发的模型将接口通过交换的水和沉积物通量的四个组成部分（中飞和斯特里克兰河，潮汐河，潮汐三角洲和大陆架），并将能够遵循的路径的水和沉积物从高地的陆坡。该综合模型将用于确定整个系统中的沉积物扩散路径和通量，并评估“从源到汇”方案中的差距。该模型还将模拟潮汐如何调节河流下游的沉积物和水通量，潮汐洪泛区在储存沉积物中的作用，以及海平面上升和回水效应如何在Fly和Strickland河中间形成阻塞的山谷和连接通道等。 更广泛的影响包括新的，年轻的博士后谁将教本科课程，并提供CSDMS的概念证明的支持。它还将导致一个解决陆地和海洋过程的大型河流综合模型，可用作评估气候变化、海平面振荡和人类活动对沿海地区影响的预测工具。该项目的社会意义是全球性的，因为许多大河人口密集。

The PI will merge all the existing results from the MARGINS Gulf of Papua focus site in a high resolution numerical model to represent the entire Fly River system. This holistic approach will allow determining how transport through the entire system alters the magnitude and delivery of sediments to marine depositional sinks. The PI will spend each semester of the two years postdoctoral fellowship at a different institution (Boston University, University of Washington, UC Berkeley and Colorado University), collaborating with scientists actively engaged in research projects in the Fly River system. The developed model will interface thorough the exchanges of water and sediment fluxes four components (middle Fly and Strickland rivers, tidal river, tidal delta, and continental shelf) and will be able to follow the path of water and sediments from the uplands to the shelf slope. The synthesis model will be used to determine the sediment dispersal pathways and fluxes in the entire system and assess gaps in the Source to Sink program. The model will also simulate how tides modulate sediment and water fluxes in the lower reaches of the river, the role of tidal floodplains in storing sediments and how sea-level rise and backwater effects create blocked valleys and tie channels in the middle Fly and Strickland rivers, among others. Broader impacts include the support of new, young post-doc who will teach undergraduate classes and provide a proof of concept for CSDMS. It will also lead to a comprehensive model for large rivers solving both terrestrial and marine processes can be used as a predictive tool to assess the impact of climate change, sea-level oscillations, and human activities on coastal areas. The societal relevance of the project is global, since many large rivers are densely populated.