Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018WR024324 |
Simulation Model for Collaborative Decision Making on Sediment Source Reduction in an Intensively Managed Watershed | |
Cho, Se Jong1,2,3; Wilcock, Peter R.4; Belmont, Patrick4; Gran, Karen B.5; Hobbs, Benjamin F.1 | |
2019-02-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:2页码:1544-1564 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | We developed a watershed sediment source and delivery model for use in evaluating conservation trade-offs in southern Minnesota, where sediment loading has been identified as a priority and there is substantial public investment in cleaner water. The model was developed in a stakeholder process and links user-specified management options to reductions in sediment loading at the outlet of a 2,880-km(2) intensively farmed watershed. The simulation model was formulated to allocate total sediment load among sources, which provides robustness to the model by constraining the relative magnitude of sediment loads and their reduction. A novel topographic filtering approach was used to develop spatially distributed maps of sediment delivery ratio, addressing the problem of storage between source and outlet. The dominant sediment source in the watershed is erosion of steep streamside bluffs in response to increases in river discharge. Rates of bluff erosion as a function of river discharge were determined from sediment loads measured at pairs of gages on individual streams. Using this analysis, upland water storage to reduce peak river flow was included as an option in the model. The model development process was designed to promote transparency and develop stakeholder trust through multiple meetings in which an underlying sediment budget was developed and refined. The model runs rapidly, providing real-time response to user choice and supporting Monte Carlo simulation of the influence of uncertainty on the calculated sediment load. The stakeholder group used the model to identify a priority strategy for investing public funds to improve water quality. Plain Language Summary Water pollution from excess sediment poses serious threats to the livelihood of aquatic ecosystem as well as recreation. We present a watershed model, developed through a collaboration with local stakeholders, that evaluates different conservation scenarios to reduce sediment source and delivery. The model is used to bring consensus among stakeholders in identifying a priority strategy for investing public funds to improve water quality. |
英文关键词 | watershed simulation model reduced-complexity modeling nonpoint source sediment management collaborative modeling |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000461858900035 |
WOS关键词 | AGRICULTURAL LANDSCAPES ; MINNESOTA ; EROSION ; QUALITY ; RIVER ; EQUIFINALITY ; PHOSPHORUS ; PREDICTION ; FRAMEWORK ; RUNOFF |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/181306 |
专题 | 资源环境科学 |
作者单位 | 1.Johns Hopkins Univ, Dept Geog & Environm Engn, Baltimore, MD 21218 USA; 2.Univ Minnesota, St Anthony Falls Lab, Minneapolis, MN 55455 USA; 3.Univ Maryland, Natl Socioenvironm Synth Ctr, Annapolis, MD 21401 USA; 4.Utah State Univ, Dept Watershed Sci, Logan, UT 84322 USA; 5.Univ Minnesota, Dept Earth & Environm Sci, Duluth, MN 55812 USA |
推荐引用方式 GB/T 7714 | Cho, Se Jong,Wilcock, Peter R.,Belmont, Patrick,et al. Simulation Model for Collaborative Decision Making on Sediment Source Reduction in an Intensively Managed Watershed[J]. WATER RESOURCES RESEARCH,2019,55(2):1544-1564. |
APA | Cho, Se Jong,Wilcock, Peter R.,Belmont, Patrick,Gran, Karen B.,&Hobbs, Benjamin F..(2019).Simulation Model for Collaborative Decision Making on Sediment Source Reduction in an Intensively Managed Watershed.WATER RESOURCES RESEARCH,55(2),1544-1564. |
MLA | Cho, Se Jong,et al."Simulation Model for Collaborative Decision Making on Sediment Source Reduction in an Intensively Managed Watershed".WATER RESOURCES RESEARCH 55.2(2019):1544-1564. |
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