Structural Universality of the Distributed Hydrological Model for Small- and Medium-Scale Basins with Different Topographies
Publication: Journal of Hydrologic Engineering
Volume 23, Issue 1
Abstract
Developing a distributed hydrological model that is applicable to a variety of topographies is a substantial challenge to the hydrological modeler. The primary objective of this study was to develop a distributed hydrological model that has a universal structure and an adjustable core module for small- and medium-scale basins under various topographical and hydrogeological conditions. By analyzing structural characteristics of soil vertical profile and general process of rainfall-runoff calculation under the different topographical conditions, a distributed hydrological model with universal structure was devised by combining the kinematic wave theory with the geographic information system (GIS)–based data on the topographical and hydrogeological conditions of target basins. Model validations were conducted through numerical simulation of the observed flow-discharge for the following three basins with varied topography: (1) the Liudaogou Basin, which is located in the region of the northern Loess Plateau and is abundant in hills and gullies; (2) the Alun River Basin, which flows through eastern Inner Mongolia and the western Heilongjiang Province; and (3) the Bukuro River Basin, which is located in Japan. The results indicated that acceptable simulation results for the rainfall-runoff process were achieved under varying topographical and hydrogeological conditions in each basin and that the calculation accuracy was within the allowable range according to the error criterion (error ). The model exhibited relatively high efficiency, and the Nash-Sutcliffe efficiency (NSE) was more than 0.90. Structural universality and core module adjustability of the model are discussed and analyzed for applicability under various topographical and hydrogeological conditions. The results are expected to provide a methodological reference for further studies on the distributed hydrological model for small- and medium-scale basins with varied topographical and hydrogeological conditions.
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Acknowledgments
The authors gratefully acknowledge the financial support of the National Natural Science Foundation of China (NSFC) (No. 41271046); a project funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) of China; the Best Talent Project of “Lu yáng jin fèng jì huà” of Yangzhou City (yzlyjfjh2013YB105) of China; and a project of Science and Technology Innovation Cultivated Fund of Yangzhou University, China (2016CXJ034).
References
Abbott, M. B., and Refsgaara, J. F. (1996). “Distributed hydrological modeling.” Water Sci. Technol. Lib., 22(3), 289–305.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M. (1998). “Crop evapotranspiration: Guidelines for computing crop water requirements.”, Food and Agricultural Organization of the United Nations, Rome.
ArcMap version 10 [Computer software]. Environmental Systems Research Institute, Inc., Redlands, CA.
ASCE. (1993). “Criteria for evaluation of watershed models.” J. Irrig. Drain. Eng., 429–442.
ASCE Task Committee on Application of Artificial Neural Networks in Hydrology. (2000). “Application of artificial neural networks in hydrology. I: Preliminary concepts.” J. Hydrol. Eng., 115–123.
Bergstrom, S., and Graham, L. P. (1998). “On the scale problem in hydrological modeling.” J. Hydrol., 211(1), 253–265.
Cabral, M. C., Garrote, L., Bras, R. L., and Entekhabi, D. (1992). “A kinematic model of infiltration and runoff generation in layered and sloped soils.” Adv. Water Resour., 15(5), 311–324.
Cammeraat, E. L. H. (2004). “Scale dependent thresholds in hydrological and erosion response of a semiarid catchment in southeast Spain.” Agric. Ecosyst. Environ., 104(2), 317–332.
Chen, R. S., Kang, E. S., Yang, J. P., and Zhang, J. S. (2003). “Research review of hydrological modeling.” J. Desert Res., 23(3), 221–229 (in Chinese).
Chua Lloyd, H. C., Wong Tommy, S. W., and Sriramula, L. K. (2008). “Comparison between kinematic wave and artificial neural network models in event-based runoff simulation for an overland plane.” J. Hydrol., 357(3–4), 337–348.
Clark, M. P., et al. (2008). “Framework for understanding structural errors (FUSE): A modular framework to diagnose differences between hydrological models.” Water Resour. Res., 44(12), 421–437.
Clark, M. P., et al. (2015a). “A unified approach for process-based hydrologic modeling. 1: Modeling concept.” Water Resour. Res., 51(4), 2498–2514.
Clark, M. P., et al. (2015b). “A unified approach for process-based hydrologic modeling. 2: Model implementation and case studies.” Water Resour. Res., 51(4), 2515–2542.
Freeze, R. A., and Harlan, R. L. (1969). “Blueprint for a physically-based digital simulated hydrologic response mode.” J. Hydrol., 9(3), 237–258.
Gao, C., and Jin, G. J. (2013). “Effects of DEM resolution on results of the SWIM hydrological model in the Changtaiguan basin.” Geogr. Res., 31(3), 399–408 (in Chinese).
Gao, H., Hrachowitz, M., Fenicia, F., Gharari, S., and Savenije, H. H. G. (2014). “Testing the realism of a topography-driven model (FLEX-Topo) in the nested catchments of the Upper Heihe, China.” Hydrol. Earth Syst. Sci., 18(5), 1895–1915.
Gharari, S., Hrachowitz, M., Fenicia, F., Gao, H., and Savenije, H. H. G. (2014). “Using expert knowledge to increase realism in environmental system models can dramatically reduce the need for calibration.” Hydrol. Earth Syst. Sci., 18(12), 4839–4859.
Gharari, S., Hrachowitz, M., Fenicia, F., and Savenije, H. H. G. (2011). “Hydrological landscape classification: Investigating the performance of HAND based landscape classifications in a central European meso-scale catchment.” Hydrol. Earth Syst. Sci., 15(11), 3275–3291.
Guo, J. Z., Hu, H. P., and Weng, W. B. (2001). “Flood control planning decision support system in medium and small river basins. I: System research.” Adv. Water Sci., 12(2), 222–226 (in Chinese).
Guo, S. L., Xiong, L. H., Yang, J., Peng, H., and Wang, J. X. (2000). “A DEM and physically based distributed hydrological model.” J. Wuhan Univ. Hydraul. Electr. Eng., 33(6), 1–5 (in Chinese).
Gupta, V. K., and Waymine, E. (1990). “Multiscalling properties of special rainfall and river flow distribution.” J. Geophysical Res., 95(D3), 1999–2009.
Hinokidani, O., Huang, J. B., Yasuda, H., Kajikawa, Y., Khumbulani, D., and Li, S. Q. (2010). “Study on surface runoff characteristics of a small ephemeral catchment in the northern Loess Plateau, China.” J. Arid Land Stud., 20(3), 173–177.
Hrachowitz, M., et al. (2014). “Process consistency in models: The importance of system signatures, expert knowledge, and process complexity.” Water Resour. Res., 50(9), 7445–7469.
Hu, H. P., Guo, J. Z., and Weng, W. B. (2001). “Flood control planning decision support system in medium and small river basins. II: Case study.” Adv. Water Sci., 12(2), 227–231 (in Chinese).
Huang, J. B., Hinokidani, O., Yasuda, H., and Kajikawa, Y. (2008). “Study on characteristics of the surface flow of the upstream region of Loess Plateau.” Annu. J. Hydraul. Eng., 52, 1–6.
Huang, J. B., Hinokidani, O., Yasuda, H., Ojha, C. S. P., Kajikawa, Y., and Li, S. Q. (2013). “Effects of the check dam system on water redistribution in the Chinese Loess Plateau.” J. Hydrol. Eng., 929–940.
Huang, J. B., Wang, B., Hinokidani, O., and Yamamoto, S. (2012). “A distributed numerical rainfall-runoff model combined with snowmelt module.” Adv. Water Sci., 23(2), 194–198 (in Chinese).
Huang, J. B., Wen, J. W., Wang, B., and Zhu, S. J. (2015). “Numerical analysis of the combined rainfall-runoff process and snowmelt for the Alun River Basin, Heilongjiang, China.” Environ. Earth Sci., 74(9), 6929–6941.
Huang, K., Liu, Y., Guo, H. C., and Wang, J. F. (2006). “The framework and its application of water environmental planning for the small watershed.” Res. Environ. Sci., 19(5), 136–141 (in Chinese).
Huo, Z., Shao, M. A., and Horton, R. (2008). “Impact of gully on soil moisture of shrub land in wind-water erosion crisscross region of the Loess Plateau.” Pedosphere, 18(5), 674–680.
Jain, M. K., Kothyari, U. C., and Ranga, R. K. G. (2004). “A GIS based distributed rainfall-runoff model.” J. Hydrol., 299(1–2), 107–135.
Japanese River Society. (1997). River erosion control technical criterion of MLIT, Ministry of Land, Infrastructure, Transport and Tourism, Tokyo (in Japanese).
Japan Society of Mechanical Engineers. (1988). Fundamentals of computational fluid dynamics, Corona, Tokyo (in Japanese).
Jin, X., Hao, Z. C., and Zhang, J. L. (2006). “Research evolution and development direction of hydrological models.” Res. Soil Water Conserv., 13(4), 197–199 (in Chinese).
Karvonena, T., Koivusaloa, H., and Jauhiainena, M. (1999). “A hydrological model for predicting runoff from different land use areas.” J. Hydrol., 217(3–4), 253–265.
Kimura, R., Bai, L., Fan, J., Takayama, N., and Hinokidani, O. (2007). “Evapotranspiration estimation over the river basin of the Loess Plateau of China based on remote sensing.” J. Arid Environ., 68(1), 53–65.
Kimura, R., Fan, J., Zhang, X. C., Takayama, N., Kamichika, M., and Matsuoka, N. (2006). “Evapotranspiration over the grassland field in the Liudaogou Basin of the Loess Plateau, China.” Acta Oecol., 29(1), 45–53.
Legates, D. R., and McCabe, G. J. (1999). “Evaluating the use of ‘goodness-of-fit’ measures in hydrologic and hydroclimatic model validation.” Water Resour. Res., 35(1), 233–241.
Li, Z. J., Yao, C., and Wang, Z. H. (2007). “Development and application of grid-based Xinanjiang model.” J. Hohai Univ., 35(2), 131–134 (in Chinese).
Li, Z. J., Yao, C., Zhang, Y. X., Xu, Q., and Huang, Y. C. (2009). “Study on grid-based Xinanjiang model.” J. Hydroelectric Eng., 28(2), 25–34 (in Chinese).
Liu, C. M., Zheng, H. X., and Wang, Z. G. (2006). Hydrological circle simulation for distributed basin, The Yellow River Conservancy Press, Zhengzhou, China (in Chinese).
Liu, J. T., Song, H. Q., Zhang, X. N., and Chen, X. (2014). “A discussion on advances in theories of Xinanjiang model.” J. China Hydrol., 34(1), 1–5 (in Chinese).
Liu, L. F., and Liu, C. M. (2013). “Impacts of catchment area and rainfall on hydrological simulation in middle or small catchment.” J. Beijing Normal Univ., 49(2/3), 157–163 (in Chinese).
Moriasi, D. N., Arnold, J. G., Van, L. M. W., Bingner, R. L., Harmel, R. D., and Veith, T. L. (2007). “Model evaluation guidelines for systematic quantification of accuracy in watershed simulations.” Trans. Am. Soc. Agric. Biol. Eng., 50(3), 885–900.
Morris, M. D. (1991). “Factorial sampling plans for preliminary computational experiments.” Technometrics, 33(2), 161–174.
Nash, J. E., and Sutcliffe, J. V. (1970). “River flow forecasting through conceptual models. 1: A discussion of principles.” J. Hydrol., 10(3), 282–290.
Ren, L. L. (2000). “A study on digital hydrological modeling.” J. Hohai Univ., 28(4), 1–7 (in Chinese).
Saltelli, A., et al. (2008). Global sensitivity analysis: The primer, Wiley, West Sussex, U.K.
Sarkar, R., and Dutta, S. (2012). “Field investigation and modeling of rapid subsurface storm flow through preferential pathways in a vegetated hillslope of northeast India.” J. Hydrol. Eng., 333–341.
Savenije, H. H. G. (2010). “HESS opinions ‘Topography driven conceptual modelling (FLEX-Topo)’.” Hydrol. Earth Syst. Sci., 14(12), 2681–2692.
Sevat, E., and Dezetter, A. (1991). “Selection of calibration objective functions in the context of rainfall-runoff modeling in a Sudanese savannah area.” Hydrol. Sci. J., 36(4), 307–330.
Shen, X. D., Wang, L. C., and Xie, S. P. (1995). “A dynamic precipitation-runoff model for a watershed based on grid data.” Acta Geogr. Sin., 50(3), 264–271 (in Chinese).
Shiiba, M., Tachikawa, Y., and Ichikawa, Y. (2008). “Kinematic wave flow models for river basin runoff simulation.” Annu. J. Hydraul. Eng., 52, K1–K4.
Tanaka, G. (2003). “Stochastic response characteristics of kinematic wave model.” Annu. J. Hydraul. Eng., 47, 229–234.
Tanaka, G., Fujita, M., and Kudo, M. (1999). “Comparison between the kinematic wave model and the storage routing function runoff model-frequency characteristic and stochastic characteristic.” J. Hydraul. Coastal Environ. Eng., 614(II-46), 21–36.
Taormina, R., and Chau, K. W. (2015). “Data-driven input variable selection for rainfall-runoff modeling using binary-coded particle swarm optimization and extreme learning machines.” J. Hydrol., 529, 1617–1632.
Wang, Z. G., Liu, C. M., and Wu, X. F. (2003). “A review of the studies on distributed hydrological model based on DEM.” J. Nat. Resour., 18(2), 168–173 (in Chinese).
Wu, C. L., Chau, K. W., and Li, Y. S. (2009). “Methods to improve neural network performance in daily flows prediction.” J. Hydrol., 372(1–4), 80–93.
Xu, T., Xu, J., Wang, J., and Huang, J. (2015). “Numerical simulation of rainfall-runoff for small-scale basin.” Proc., Int. Conf. on Logistics Engineering, Management and Computer Science, Atlantis, Amsterdam, Netherlands.
Xu, Z. X. (2010). “Hydrological models: Past, present and future.” J. Beijing Normal Univ., 46(3), 278–289 (in Chinese).
Yamamoto, Y. (2003). “Modeling of rainfall-runoff process in mountainous basin.” Annu. J. Hydraul. Eng., 47, 253–258.
Yan, H. F., Wang, C. H., and Wen, P. (2008). “Overview of studies on distributed hydrological model.” Water Resour. Power, 26(6), 1–4 (in Chinese).
Yomoto, A., and Islam, M. N. (1992). “Kinematic analysis of flood runoff for a small-scale upland field.” J. Hydrol., 137(1–4), 311–326.
Zhan, C. S., Song, X. M., Xia, J., and Tong, C. (2013). “An efficient integrated approach for global sensitivity analysis of hydrological model parameters.” Environ. Modell. Softw., 41, 39–52.
Zhu, L., Qin, F. C., Yao, W. F., Zhang, L. J., and Yu, X. X. (2001). “Research of sensitivity analysis module of SWAT model in middle-scale watershed—A case study of Hongmenchuan Watershed in Miyun County.” Res. Water Soil Conserv., 18(1), 161–166 (in Chinese).
Zhu, Y. J., and Shao, M. A. (2008). “Variability and pattern of surface moisture on a small-scale hillslope in Liudaogou Catchment on the northern Loess Plateau of China.” Geoderma, 147(3–4), 185–191.
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Journal of Hydrologic Engineering
Volume 23 • Issue 1 • January 2018
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©2017 American Society of Civil Engineers.
History
Received: Jul 29, 2016
Accepted: Jun 14, 2017
Published online: Oct 25, 2017
Published in print: Jan 1, 2018
Discussion open until: Mar 25, 2018
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