Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR026185 |
Probability and consequence of post‐fire erosion for treatability of water in an unfiltered supply system | |
Petter Nyman; Peter Yeates; Christoph Langhans; Philip J. Noske; Nadav Peleg; Christine Schä; rer; Patrick NJ Lane; Shane Haydon; Gary J. Sheridan | |
2020-12-07 | |
发表期刊 | Water Resources Research
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出版年 | 2020 |
英文摘要 | Forested catchments are critical to water supply in major cities. Many of these catchments face the threat of post‐wildfire erosion, which can contaminate reservoir water. The aim of this paper is to determine the probability and duration of disruptions to treatability due to runoff‐generated debris flows in the first year after a wildfire, before substantial vegetation recovery takes place. We combine models of reservoir hydrodynamics, post‐fire erosion, and a stochastic rainfall to determine probability and magnitude of sediment concentration at the reservoir water offtake. Central to the paper is our technique for linking model components into a risk framework that gives probabilities to the number of days that the turbidity threshold for treatment is exceeded. The model is applied to the Upper Yarra reservoir, which is the linchpin the water supply system for Melbourne in SE Australia. However, the framework is applicable to other unfiltered water supply systems where suspended sediment are a risk to treatability. Results show that post‐wildfire erosion poses a substantial threat, with a relatively high probability (annual exceedance probability = 0.1‐ 0.3) of water being untreatable for > 1 year following a high‐severity wildfire. Important factors that influence the risk include post‐wildfire runoff potential, reservoir temperature and the amount of clay‐sized grains in eroding headwaters. Assumptions about spatial‐temporal rainfall attributes, reservoir hydrodynamics, and the catchment erosion potential are all important sources of error in our estimate of risk. Our approach to risk quantification will help support planning, risk management and strategic investment to mitigate impacts. This article is protected by copyright. All rights reserved. |
领域 | 资源环境 |
URL | 查看原文 |
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/308302 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Petter Nyman,Peter Yeates,Christoph Langhans,等. Probability and consequence of post‐fire erosion for treatability of water in an unfiltered supply system[J]. Water Resources Research,2020. |
APA | Petter Nyman.,Peter Yeates.,Christoph Langhans.,Philip J. Noske.,Nadav Peleg.,...&Gary J. Sheridan.(2020).Probability and consequence of post‐fire erosion for treatability of water in an unfiltered supply system.Water Resources Research. |
MLA | Petter Nyman,et al."Probability and consequence of post‐fire erosion for treatability of water in an unfiltered supply system".Water Resources Research (2020). |
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