Use of remote sensing for hydrological parameterisation of Alpine catchments

Bach, Heike; Braun, Mihály; Lampart, G.; Mauser, Wolfram

doi:10.5194/hess-7-862-2003

Cited by 21 publications

(16 citation statements)

References 11 publications

(14 reference statements)

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“…In the absense of measured field data, recent developments in remote sensing may provide new methods of data assimilation. Such methods have already been used in modelling snowmelt-dominated alpine catchments (Bach, Braun, Lampart, & Mauser, 2003) and estimating snowmelt in Arctic tundra (Kepski et al, 2017).…”

Section: Estimating Water Ages and Tt In Data Sparse Arctic Regionsmentioning

confidence: 99%

Using stable isotopes to estimate travel times in a data‐sparse Arctic catchment: Challenges and possible solutions

Tetzlaff

Piovano

Ala‐aho

et al. 2018

Hydrological Processes

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Use of isotopes to quantify the temporal dynamics of the transformation of precipitation into run‐off has revealed fundamental new insights into catchment flow paths and mixing processes that influence biogeochemical transport. However, catchments underlain by permafrost have received little attention in isotope‐based studies, despite their global importance in terms of rapid environmental change. These high‐latitude regions offer limited access for data collection during critical periods (e.g., early phases of snowmelt). Additionally, spatio‐temporal variable freeze–thaw cycles, together with the development of an active layer, have a time variant influence on catchment hydrology. All of these characteristics make the application of traditional transit time estimation approaches challenging. We describe an isotope‐based study undertaken to provide a preliminary assessment of travel times at Siksik Creek in the western Canadian Arctic. We adopted a model–data fusion approach to estimate the volumes and isotopic characteristics of snowpack and meltwater. Using samples collected in the spring/summer, we characterize the isotopic composition of summer rainfall, melt from snow, soil water, and stream water. In addition, soil moisture dynamics and the temporal evolution of the active layer profile were monitored. First approximations of transit times were estimated for soil and streamwater compositions using lumped convolution integral models and temporally variable inputs including snowmelt, ice thaw, and summer rainfall. Comparing transit time estimates using a variety of inputs revealed that transit time was best estimated using all available inflows (i.e., snowmelt, soil ice thaw, and rainfall). Early spring transit times were short, dominated by snowmelt and soil ice thaw and limited catchment storage when soils are predominantly frozen. However, significant and increasing mixing with water in the active layer during the summer resulted in more damped steam water variation and longer mean travel times (~1.5 years). The study has also highlighted key data needs to better constrain travel time estimates in permafrost catchments.

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Section: Estimating Water Ages and Tt In Data Sparse Arctic Regionsmentioning

confidence: 99%

Using stable isotopes to estimate travel times in a data‐sparse Arctic catchment: Challenges and possible solutions

Tetzlaff

Piovano

Ala‐aho

et al. 2018

Hydrological Processes

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“…It is perhaps for land-cover data derivation that RS has made its largest impact and comes closest to maximize its capabilities in watershed research [5]. This has prompted researchers and watershed planners to exploit land-cover information derived from remotely-sensed images in a variety of hydrological modeling studies, most especially in surface runoff predictions [6][7][8]. The addition of Geographic Information System (GIS) technology further enhanced these capabilities and increased confidence in the accuracy of modeled watershed conditions, improved the efficiency of the modeling process and increased the estimation capability of hydrologic models [9].…”

Section: Remote Sensing and Gis In Watershed Researchmentioning

confidence: 99%

Integrated Landsat Image Analysis and Hydrologic Modeling to Detect Impacts of 25-Year Land-Cover Change on Surface Runoff in a Philippine Watershed

2011

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Landsat MSS and ETM+ images were analyzed to detect 25-year land-cover change in the critical Taguibo Watershed in Mindanao Island, Southern Philippines. This watershed has experienced historical modifications of its land-cover due to the presence of logging industries in the 1950s, and continuous deforestation due to illegal logging and slash-and-burn agriculture in the present time. To estimate the impacts of land-cover change on watershed runoff, land-cover information derived from the Landsat images was utilized to parameterize a GIS-based hydrologic model. The model was then calibrated with field-measured discharge data and used to simulate the responses of the watershed in its year 2001 and year 1976 land-cover conditions. The availability of land-cover information on the most recent state of the watershed from the Landsat ETM+ image made it possible to locate areas for rehabilitation such as barren and logged-over areas. We then created a "rehabilitated" land-cover condition map of the watershed (re-forestation of logged-over areas and agro-forestation of barren areas) and used it to parameterize the model and predict the runoff responses of the watershed. Model results showed that changes in land-cover from 1976 to 2001 were directly related to the significant increase in surface runoff. Runoff predictions showed that a full rehabilitation of the watershed, especially in barren and logged-over areas, will be likely to reduce the generation of a huge volume of runoff during rainfall events. The results of this study have OPEN ACCESSRemote Sens. 2011, 3 1068 demonstrated the usefulness of multi-temporal Landsat images in detecting land-cover change, in identifying areas for rehabilitation, and in evaluating rehabilitation strategies for management of tropical watersheds through its use in hydrologic modeling.

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“…On the other hand, the LAI maps were derived by Bach et al (2003) from remote-sensing observations (LANDSAT-TM images) of the Toce basin, and the k s map estimated from extended field and laboratory measurements (see 'Physiographic basin characterization' section). Then, the parameter values are refined through model calibration.…”

Section: Application Of the Two Continuous Modelsmentioning

confidence: 99%

“…The Toce basin was a case study of the RAPHAEL (Runoff and atmospheric processes for flood hazard forecasting and control) European Union research project, whose objective was to improve flood forecasting in complex mountain watershed Ranzi, 2000, 2003;Montaldo et al, 2002Montaldo et al, , 2004Bach et al, 2003;Grossi and Falappi, 2003;Macelloni et al, 2003;Richard et al, 2003). Montaldo et al (2002Montaldo et al ( , 2004 demonstrated that the FEST98 model cited above is able to simulate adequately three recent flood events in the Toce basin (in 1993, 1994 and 1997).…”

Section: Introductionmentioning

confidence: 99%

On the prediction of the Toce alpine basin floods with distributed hydrologic models

Montaldo

Ravazzani

Mancini

2006

Hydrological Processes

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Abstract:With the objective of improving flood predictions, in recent years sophisticated continuous hydrologic models that include complex land-surface sub-models have been developed. This has produced a significant increase in parameterization; consequently, applications of distributed models to ungauged basins lacking specific data from field campaigns may become redundant.The objective of this paper is to produce a parsimonious and robust distributed hydrologic model for flood predictions in Italian alpine basins. Application is made to the Toce basin (area 1534 km 2 ). The Toce basin was a case study of the RAPHAEL European Union research project, during which a comprehensive set of hydrologic, meteorological and physiographic data were collected, including the hydrologic analysis of the 1996-1997 period. Two major floods occurred during this period. We compare the FEST04 event model (which computes rainfall abstraction and antecedent soil moisture conditions through the simple Soil Conservation Service curve number method) and two continuous hydrologic models, SDM and TDM (which differ in soil water balance scheme, and base flow and runoff generation computations).The simple FEST04 event model demonstrated good performance in the prediction of the 1997 flood, but shows limits in the prediction of the long and moderate 1996 flood. More robust predictions are obtained with the parsimonious SDM continuous hydrologic model, which uses a simple one-layer soil water balance model and an infiltration excess mechanism for runoff generation, and demonstrates good performance in both long-term runoff modelling and flood predictions. Instead, the use of a more sophisticated continuous hydrologic model, the TDM, that simulates soil moisture dynamics in two layers of soil, and computes runoff and base flow using some TOPMODEL concepts, does not seem to be advantageous for this alpine basin.

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Use of remote sensing for hydrological parameterisation of Alpine catchments

Cited by 21 publications

References 11 publications

Using stable isotopes to estimate travel times in a data‐sparse Arctic catchment: Challenges and possible solutions

Using stable isotopes to estimate travel times in a data‐sparse Arctic catchment: Challenges and possible solutions

Integrated Landsat Image Analysis and Hydrologic Modeling to Detect Impacts of 25-Year Land-Cover Change on Surface Runoff in a Philippine Watershed

On the prediction of the Toce alpine basin floods with distributed hydrologic models

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