2019
DOI: 10.3390/w11122601
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The Role of Debris Cover in Catchment Runoff: A Case Study of the Hailuogou Catchment, South-Eastern Tibetan Plateau

Abstract: Runoff from high-elevation, debris-covered glaciers is a crucial water supply in the Tibetan Plateau (TP) and its surroundings, where insufficient debris thickness data make it difficult to analyze its influence. Here, we investigated the role of debris cover in runoff formation of the Hailuogou catchment in the south-eastern Tibetan Plateau for the 1988–2017 period, based on long-term observations combined with a physically based glacio-hydrological model. The catchment is characterized by extensive thin debr… Show more

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Cited by 14 publications
(9 citation statements)
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“…This spread in κ , as well as the vertical inhomogeneity, are important because they imply that debris thickness estimates made using remote-sensing data using the average value of κ may be more uncertain than they have been reported to be (Mihalcea and others, 2008; Foster and others, 2012; Schauwecker and others, 2015). The same may be true of the predictions of sub-debris ablation or meltwater runoff that have been made using energy-balance models (Nicholson and Benn, 2006; Reid and Brock, 2010; Lejeune and others, 2013) or glacio-hydrological models (Fujita and Sakai, 2014; Hagg and others, 2018; Zhang and others, 2019), where a spatially uniform thermal diffusivity has been assumed. The results presented here may help improve the estimates of the prediction uncertainties in future studies.…”
Section: Resultsmentioning
confidence: 99%
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“…This spread in κ , as well as the vertical inhomogeneity, are important because they imply that debris thickness estimates made using remote-sensing data using the average value of κ may be more uncertain than they have been reported to be (Mihalcea and others, 2008; Foster and others, 2012; Schauwecker and others, 2015). The same may be true of the predictions of sub-debris ablation or meltwater runoff that have been made using energy-balance models (Nicholson and Benn, 2006; Reid and Brock, 2010; Lejeune and others, 2013) or glacio-hydrological models (Fujita and Sakai, 2014; Hagg and others, 2018; Zhang and others, 2019), where a spatially uniform thermal diffusivity has been assumed. The results presented here may help improve the estimates of the prediction uncertainties in future studies.…”
Section: Resultsmentioning
confidence: 99%
“…Although the physical theory is understood, the actual variability of the debris layer properties is not currently well characterised, and the effects on ablation are poorly constrained (Nicholson and others, 2018). This results in considerable uncertainty in many glaciological applications, such as satellite-based debris-thickness estimation (e.g., Mihalcea and others, 2008; Foster and others, 2012; Schauwecker and others, 2015) and glacio-hydrological modelling (e.g., Fujita and Sakai, 2014; Hagg and others, 2018; Zhang and others, 2019; Steiner and others, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…With continuous climate warming, ground-surveyed and satellite-based observations confirm that maritime glaciers have experienced the most dramatic mass loss among glacierized regions in the TP over the past decades, and this trend has accelerated in recent decades [2,[12][13][14][15][16]. Such accelerated mass loss of these maritime glaciers markedly affects the seasonal and interannual variation in river runoff [17][18][19] and increases the risk of glacier-related hazards in the southeastern TP [20][21][22][23].…”
Section: Introductionmentioning
confidence: 97%
“…Due to its simple structure and strong adaptability, pressure atomizing nozzle has become the most widely used nozzle [18][19][20][21][22][23]. The principle is that the liquid is transported to the nozzle port by liquid pressure or gas pressure, mixed in the liquid cap of the pressure-atomizing nozzle, and then sprayed through the nozzle hole of the pressure-atomizing nozzle [24,25]. Among them, the circular-hole rotating core micro-fog nozzle is widely used in fog gun vehicles.…”
Section: Introductionmentioning
confidence: 99%