RUI: Collaborative Research: Pattern Emergence and Resilience of Rill Networks and Their Relation to Soil Loss, Landscape Degradation, and Erosion Prediction Technology

RUI：合作研究：细沟网络的模式出现和恢复力及其与土壤流失、景观退化和侵蚀预测技术的关系

• 批准号: 1359852
• 负责人: Henrique Momm
• 金额: $ 10.61万
• 依托单位: Middle Tennessee State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-07-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1359852&HistoricalAwards=false
• 关键词: RUI; Collaborative; Research; Pattern; Emergence

Soil erosion remains the principal cause of soil degradation worldwide, and soil loss continues to be a critical concern for the sustainable management of agricultural resources. Furthermore, off-site sedimentation from upland sources severely affects water quality and ecology. Areas of intense, localized erosion, such as rills and gullies, often are the primary cause of soil loss and are the dominant source of sediment removed from these landscapes. This collaborative research project will examine the fundamental mechanics of soil erosion and landscape degradation by rill development. The investigators also will analyze the fundamental topographic organization and evolution of these systems under laboratory and natural conditions. The project will enhance basic understanding of the fundamental mechanics of soil erosion and landscape degradation by rill development as well as the fundamental topographic organization. The project will increase the recognition and understanding of geopatterns and the initiation, development, and evolution of surface water drainage networks at various time and space scales. The project will improve capabilities for predicting soil loss before any erosion takes place, which will help improve watershed and agricultural-management tools, thereby reducing the further degradation of soil resources in the U.S. and elsewhere. The project also will provide special education and training opportunities for graduate and undergraduate students.The project will combine laboratory, analytic, and field investigation to focus on the emergence, evolution, and resiliency of rill networks on soil-mantled landscapes at the field-plot scale. The investigators hypothesize that rill networks display rapid pattern-emergent characteristics and long-term resiliency on hillslopes and that the location, organization, and dimensions of these rills can be predicted before any erosion takes place. Full-scale soil erosion experiments will be conducted during which terrain analysis will be combined with state-of-the-art physical models and analytical formulations for soil erosion processes. The theoretical framework and terrain analysis tools developed in the experimental landscape then will be applied to a field experiment, where erosion plots will be created to replicate the in-house experiments and monitored over time.

土壤侵蚀仍然是全世界土壤退化的主要原因，土壤流失仍然是农业资源可持续管理的一个重大关切。 此外，高地水源的场外沉积严重影响水质和生态。 强烈的局部侵蚀地区，如细沟和冲沟，往往是土壤流失的主要原因，也是从这些景观中移走的沉积物的主要来源。 这一合作研究项目将审查细沟发育造成土壤侵蚀和景观退化的基本机制。 研究人员还将分析这些系统在实验室和自然条件下的基本地形组织和演变。 该项目将加强对细沟发育造成的土壤侵蚀和景观退化的基本机制以及基本地形结构的基本了解。 该项目将增加对水资源的认识和理解，以及地表水排水网络在不同时间和空间尺度上的启动、发展和演变。 该项目将提高在任何侵蚀发生之前预测土壤流失的能力，这将有助于改善流域和农业管理工具，从而减少美国和其他地方土壤资源的进一步退化。 该项目还将为研究生和本科生提供特殊的教育和培训机会。该项目将联合收割机结合实验室，分析和实地调查，重点放在田间小区尺度上的土壤覆盖景观的细沟网络的出现，演变和弹性。 研究人员假设，细沟网络显示快速模式紧急的特点和长期的弹性山坡上，这些细沟的位置，组织和尺寸可以预测之前发生任何侵蚀。 将进行全面的土壤侵蚀实验，在此期间，地形分析将与最先进的物理模型和土壤侵蚀过程的分析公式相结合。 然后，将在实验景观中开发的理论框架和地形分析工具应用于实地实验，在实地实验中将创建侵蚀地块以复制内部实验并随时间推移进行监测。