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Contribution of meteorological input in calibrating a distributed hydrologic model in a watershed in the Tianshan Mountains, China

(2015) ENVIRONMENTAL EARTH SCIENCES. 74(3). p.2413-2424
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Organization
Abstract
Water resources are essential to the ecosystem and social economy worldwide, especially in the desert and oasis of the Tarim River Basin, whose water originates largely from the Tianshan Mountains characterized by complicated hydrologic processes and scarce meteorological observations. In this study, distributed hydrologic model of SWAT (Soil and Water Assessment Tool) was applied to the Kaidu River Basin, a watershed in the Tianshan Mountains and one of the headwaters of the Tarim River. To quantify the contribution of meteorological input to model output, a sensitivity analysis approach (SDP method, State-Dependent Parameter method) was applied before and after the model was calibrated. The sensitivity analysis shows that meteorological input contributes up to 64 % of model uncertainty due to scarcity of observed meteorological data especially in the alpine region, and the groundwater flow is the most important hydrologic process in this watershed. Model calibration is robust with Nash-Sutcliffe coefficients ("NS'' s) and "R-2'' s over 0.80 for both the calibration period and the validation period where the length of the validation period is five times longer than the calibration period. The significance is obvious when compared to the simulation without considering the effect of spatial variation in meteorological input (NS = 0.80 and NS = 0.47 for "with lapse rates'' and "without lapse rates'', respectively). Accurate meteorological input is of great importance to the distributed hydrological model, especially in the mountainous regions.
Keywords
UNCERTAINTY, OPTIMIZATION, SIMULATION, CATCHMENT, ACCURACY, REGION, RIVER-BASIN, SNOWMELT RUNOFF, TARIM BASIN, SENSITIVITY-ANALYSIS, Model calibration, Sensitivity analysis, Hydrologic process, Meteorological input, Hydrologic modeling

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Citation

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MLA
Fang, Gonghuan et al. “Contribution of Meteorological Input in Calibrating a Distributed Hydrologic Model in a Watershed in the Tianshan Mountains, China.” ENVIRONMENTAL EARTH SCIENCES 74.3 (2015): 2413–2424. Print.
APA
Fang, G., Yang, J., Chen, Y., Xu, C., & De Maeyer, P. (2015). Contribution of meteorological input in calibrating a distributed hydrologic model in a watershed in the Tianshan Mountains, China. ENVIRONMENTAL EARTH SCIENCES, 74(3), 2413–2424.
Chicago author-date
Fang, Gonghuan, Jing Yang, Yaning Chen, Changchun Xu, and Philippe De Maeyer. 2015. “Contribution of Meteorological Input in Calibrating a Distributed Hydrologic Model in a Watershed in the Tianshan Mountains, China.” Environmental Earth Sciences 74 (3): 2413–2424.
Chicago author-date (all authors)
Fang, Gonghuan, Jing Yang, Yaning Chen, Changchun Xu, and Philippe De Maeyer. 2015. “Contribution of Meteorological Input in Calibrating a Distributed Hydrologic Model in a Watershed in the Tianshan Mountains, China.” Environmental Earth Sciences 74 (3): 2413–2424.
Vancouver
1.
Fang G, Yang J, Chen Y, Xu C, De Maeyer P. Contribution of meteorological input in calibrating a distributed hydrologic model in a watershed in the Tianshan Mountains, China. ENVIRONMENTAL EARTH SCIENCES. 2015;74(3):2413–24.
IEEE
[1]
G. Fang, J. Yang, Y. Chen, C. Xu, and P. De Maeyer, “Contribution of meteorological input in calibrating a distributed hydrologic model in a watershed in the Tianshan Mountains, China,” ENVIRONMENTAL EARTH SCIENCES, vol. 74, no. 3, pp. 2413–2424, 2015.
@article{6958009,
  abstract     = {Water resources are essential to the ecosystem and social economy worldwide, especially in the desert and oasis of the Tarim River Basin, whose water originates largely from the Tianshan Mountains characterized by complicated hydrologic processes and scarce meteorological observations. In this study, distributed hydrologic model of SWAT (Soil and Water Assessment Tool) was applied to the Kaidu River Basin, a watershed in the Tianshan Mountains and one of the headwaters of the Tarim River. To quantify the contribution of meteorological input to model output, a sensitivity analysis approach (SDP method, State-Dependent Parameter method) was applied before and after the model was calibrated. The sensitivity analysis shows that meteorological input contributes up to 64 % of model uncertainty due to scarcity of observed meteorological data especially in the alpine region, and the groundwater flow is the most important hydrologic process in this watershed. Model calibration is robust with Nash-Sutcliffe coefficients ("NS'' s) and "R-2'' s over 0.80 for both the calibration period and the validation period where the length of the validation period is five times longer than the calibration period. The significance is obvious when compared to the simulation without considering the effect of spatial variation in meteorological input (NS = 0.80 and NS = 0.47 for "with lapse rates'' and "without lapse rates'', respectively). Accurate meteorological input is of great importance to the distributed hydrological model, especially in the mountainous regions.},
  author       = {Fang, Gonghuan and Yang, Jing and Chen, Yaning and Xu, Changchun and De Maeyer, Philippe},
  issn         = {1866-6280},
  journal      = {ENVIRONMENTAL EARTH SCIENCES},
  keywords     = {UNCERTAINTY,OPTIMIZATION,SIMULATION,CATCHMENT,ACCURACY,REGION,RIVER-BASIN,SNOWMELT RUNOFF,TARIM BASIN,SENSITIVITY-ANALYSIS,Model calibration,Sensitivity analysis,Hydrologic process,Meteorological input,Hydrologic modeling},
  language     = {eng},
  number       = {3},
  pages        = {2413--2424},
  title        = {Contribution of meteorological input in calibrating a distributed hydrologic model in a watershed in the Tianshan Mountains, China},
  url          = {http://dx.doi.org/10.1007/s12665-015-4244-7},
  volume       = {74},
  year         = {2015},
}

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