Streamflow regime of a lake‐stream system based on long‐term data from a high‐density hydrometric network

Hudson, Danielle T.; Leach, Jason A.; Webster, Kara; Houle, Daniel

doi:10.1002/hyp.14396

Cited by 7 publications

(13 citation statements)

References 79 publications

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“…During short rainfall events, lakes control streamflow response by storing much of the rainfall input, resulting in lower runoff volumes during rainfall events. The results are similar to those obtained by Hudson et al (2021), who found that catchments that have larger lake percentages can reduce the peak flow magnitude and delay peak flow occurrence, especially during short rainfall events. Arp et al (2006) also investigated how stream‐lake landscapes contribute to flood reduction by analysing the timing and magnitude of peak flow during snowmelt and storm events.…”

Section: Discussionsupporting

confidence: 91%

“…Moreover, we used observed streamflow recorded at the C7 station 5 h before the start of each rainfall event as another indicator of antecedent storage (referred to as antecedent reference discharge) (Hudson et al, 2021; Wilson et al, 2011). We used specific discharge at C7 sub‐catchment, following Tiwari et al (2022), as it is located in the central part of Krycklan, drains a mix of mire and forest land covers, and has a mean specific discharge comparable to that of all other sub‐catchments; therefore, the use of C7 allows for a consistent and standardized measurement across all sites.…”

Section: Methodsmentioning

confidence: 99%

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Local‐ and network‐scale influence of peatlands on boreal catchment response to rainfall events

Karimi,

Leach,

Karlsen

et al. 2023

Hydrological Processes

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Boreal catchments are composed of different land covers, such as forests, peatlands and lakes, which differ in their runoff response to rainfall events. Understanding the individual and combined responses to rainfall events of these different land cover types is crucial for predicting potential impacts of future climate conditions on boreal water cycling. A common assumption is that peatlands attenuate peak flows, which is used as a motivation to restore drained boreal wetlands. However, it remains unclear how and to what extent peatlands can affect peak flow response. Only a few previous studies have looked at the hydrologic dynamics of peatlands in response to specific rainfall events across a wide range of nested sub‐catchments with varying peatland cover. In this study, we use nine years of hourly hydrometric data from 14 catchments within the Krycklan Catchment Study in northern Sweden to examine how peatlands contribute to flood attenuation at both local and stream network scales. Our analysis at the local scale demonstrated that during large events with low antecedent wetness conditions, peatland‐dominated catchment exhibited more muted responses compared to the similar‐sized forest‐dominated catchment. However, during events with high antecedent wetness conditions, the peatland‐dominated catchment exhibited flood magnitudes similar to the forest‐dominated catchment, although the elevated flow condition at the peatland‐dominated catchment persisted for longer periods. Finally, our analysis revealed no significant influence of peatlands on the attenuation or amplification of floods at the stream network scale.

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Section: Discussionsupporting

confidence: 91%

Section: Methodsmentioning

confidence: 99%

Local‐ and network‐scale influence of peatlands on boreal catchment response to rainfall events

Karimi,

Leach,

Karlsen

et al. 2023

Hydrological Processes

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“…Finally, a plurality of training sets are formed through the Porter sampling method, and a fault early warning decision tree is constructed on the generated training sets by using the decision tree algorithm. In this process, the kmodes clustering algorithm is used to generate early warning strategies [10].…”

Section: Establish a Fault Early Warning Modelmentioning

confidence: 99%

Digital intelligent distribution network fault risk early warning system based on data mining

Wang¹,

Wang²,

Zhang³

et al. 2023

Eighth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2022)

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Aiming at the problems of low fault warning efficiency and failure to transmit warning information in time in China's distribution network, a digital smart distribution network fault risk warning system based on data mining is proposed. The Oracle database is used to call and manage the data of the distribution network as a whole, and then the data mining method is used to collect and process the fault data. On this basis, the fault early warning model is established to realize the timely early warning of distribution network fault risk. Finally, the conventional fault risk early warning system is selected as the comparison system for the comparison test. The test results show that the fault risk early warning system of the distribution network based on data mining is superior to the conventional system in data transmission delay, which is conducive to improving the early warning efficiency and providing a guarantee for the safe and stable operation of distribution network.

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“…In contrast, lake influences on downstream discharge are more variable. Other studies have highlighted the moderating influence of lakes on stream flow (Dorava & Milner, 2000;Epstein et al, 2013;FitzGibbon & Dunne, 1981;Hudson et al, 2021;Jones et al, 2014); however, this influence may be negligible when a lake's capacity to attenuate streamflow is exceeded, such as during spring freshet (Arp et al, 2006;Goodman et al, 2011;Karlsen et al, 2016) or as one moves further downstream from the lake . In more arid regions, the storage deficit in lakes during summer is often sufficiently high that precipitation events do not cause water levels to exceed storage capacity, resulting in intermittent downstream flows (Baki et al, 2012;Kusumastuti et al, 2008;Spence et al, 2010;Woo and Woo & Mielko, 2007).…”

Section: F I G U R Ementioning

confidence: 99%

Do headwater lakes moderate downstream temperature response to forest harvesting? Illustrating opportunities and obstacles associated with virtual experiments

Leach

Moore

Laudon

et al. 2022

Hydrological Processes

Self Cite

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There are concerns that environmental changes, such as climate variability and forest harvesting, are altering stream thermal regimes and impacting aquatic ecosystems. Previous studies have suggested that the abundant headwater lakes found in northern landscapes may moderate downstream temperature response to forest harvesting. We investigated this hypothesis using a virtual experimental approach based on detailed field measurements made at boreal catchments in northern Sweden coupled with a process‐based stream temperature model. We simulated streamside harvesting for stream reaches with and without a headwater lake. Mean daily summer stream temperature response to harvesting was generally between 0.5 and 1.5°C higher for the stream without a lake than for the stream with a lake. However, during rain events the stream with the lake showed a greater stream temperature response than the stream without a lake. Headwater lakes typically store and delay runoff from rain events, augment baseflow, and have elevated outflow temperatures. These differences in upstream boundary conditions, in terms of flow and water temperature, were the key drivers for the contrasting harvest responses between streams with and without headwater lakes. These findings were generally consistent across different harvesting scenarios; however, uncertainty in the hyporheic term and post‐harvest microclimate conditions influenced the simulated magnitude of post‐harvest stream temperature response. Our study highlights the utility of virtual experiments for gaining insight on systems understanding but caution is needed when using models for predictions outside the conditions for which models are calibrated.

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Streamflow regime of a lake‐stream system based on long‐term data from a high‐density hydrometric network

Cited by 7 publications

References 79 publications

Local‐ and network‐scale influence of peatlands on boreal catchment response to rainfall events

Local‐ and network‐scale influence of peatlands on boreal catchment response to rainfall events

Digital intelligent distribution network fault risk early warning system based on data mining

Do headwater lakes moderate downstream temperature response to forest harvesting? Illustrating opportunities and obstacles associated with virtual experiments

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