Application of SWAT Model Driven by CMADS
DOI:
https://doi.org/10.54097/hset.v12i.1365Keywords:
CMADS, SWAT, meteorological data, DEM.Abstract
The SWAT (Soil and Water Assessmennt Tool) model is a hydrological model that has developed rapidly and has great influence in recent decades. It is mainly used to simulate and predict the impact of various management measures and climate change on the supply of water resources. The atmospheric input data used in the model is the SWAT Model China Atmospheric Assimilation Driven Dataset (CMADS). The data set introduces the Chinese land surface assimilation system, and uses various technical means such as data nesting, resampling, model estimation and bilinear interpolation to ensure the reliability of meteorological input data. The advantage of the CMADS series dataset over traditional meteorological data is that it provides a more complete dataset without missing values. In the process of hydrological modeling after the introduction of the physical model, the accuracy of the input data is constantly improving. Therefore, the CMADS series datasets will be very good hydrological model-driven data at this time.
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Neitsch S L,Amold J G,Kiniry J R et al. Soil and Water Assessment Tool Theoretical DocumentationVension2005[EB/OL].http://www.brc.tamus.edu/swat/downloads/doc/swat2005/SWAT2005theoryfinal.pdf,2005.
Arnold J G, Srinivasan R, Muttiah R S, et al. Continental scale simulation of the hydrologic balance [J]. Journal of the American Water Resources Association,1999,35 (5): 1037-1051.
Bingner, R.L. Runoff simulated from Goodwin Creek Watershed using SWAT [J].Transactions of the AS AE, 1996,39(1):85-89.
Ping H , ZhaoJiguo. A Study on Distributed Hydrological Mathematical Model of Basin and Applied Prospect[J]. HYDROLOGY, 1997, (5):5-10.
Huang P , Zhao J G . A Study on 2-D Distributed Hydrological Numerical Model in the Woody Sloping Field[J]. HYDROLOGY,2000,20 (4):1-4.
RL Liang,XR Liu. Application of Digital Elevation Model to Topological Evaluation of Drainage System. [J] ADVANCES IN WATER SCIENCE,1999,10 (2):129-134..
LL Ren. A Study on Digital Hydrological Modeling[J]. JOURNAL OF HOHAI UNIVERSITY, 2000,28(4):1-7.
L Li, SL Guo, JH Hu. Inverse problem model of dynamic parameters of watershed hydrological distribution [M]. Beijing: China Three Gorges Press, 2000.
L Li. Mathematical-Physical Coupling Model of Watershed Hydrology [A].//Zhu Erming. Excellent Papers of China Hydraulic Society [C]. Beijing: China Three Gorges Press, 2000: 322-329.
SL Guo, LH Xiong. DEM-based hydrological physical model of distributed watershed [J]. Engineering Journal of Wuhan University,2000,33(6):1-5.
Guo S , Xiong L , Yang J , et al. Comparative study and application of distributed hydrophysical model of watersheds[J]. Journal of Wuhan University of Hydraulic and Electric Engineering, 2001,34(1):1-5,36.
Xia J , Wang G , Lv A , et al. A Research on Distributed Time Variant Gain Modeling[J]. Acta Geographica Sinica, 2003,58(5):789-796.
G S Wang, J Xia, Zhu Y Z , et al. Distributed hydrological modeling based on nonlinear system approach[J]. Advances In Water ence, 2004,15(4):521-525.
YW Jia, H Wang, Wang J H , et al. Development and Verification of a Distributed Hydrologic Model for the Yellow River Basin[J]. Journal of Natural Resources, 2005,20(2):300-308.
YW Jia, H Wang. The principle and practice of distributed watershed hydrological model [M]. China Water Resources and Hydropower Press, 2005.
An introduction to the research on "Evolutionary Laws and Dualistic Evolutionary Model of Water Resources in the Yellow River Basin"
DW Yang, Nantian Tetsuya. The comprehensive evaluation model of water resources and its application in the Yellow River Basin [M]. Beijing: China Water Resources and Hydropower Press, 2005.
YH Song. SWAT-assisted runoff simulation and hydrological response to ecological restoration [D]. Lanzhou: Lanzhou University, 2006.
Zhang L P , Chen X , Zhang X L , et al. Application of SWAT Model in Bailian River Valley Runoff Simulation[J]. Journal of Yangtze River Scientific Research Institute, 2009, 26(6):4-8.26(6):4-8.
Chen L , Liang Z , Zhu J . Application of SWAT Model to Runoff Simulation in Huangyahe Basin[J]. Water Resources and Power, 2011,29(10):8-11.
Berg A A, Famiglietti J S, Walker J P, Houser P R. Impact of bias correction to reanalysis products on simulations of North American soil moisture and hydrolo cal fluxes. Journal of Geophysical Research, 2003, 108(D16): 4490.
X Meng , C Shi , S Liu, et al. CMADS Datasets and Its Application in Watershed Hydrological Simulation:A Case Study of the Heihe River Basin[J]. Pearl River, 37(7):1.19.
Pal J S. Ehahir E A. Pathways relating soil moisture conditions to future summer rainfall within a model of the land-atmospheresystem. Journal of Climate, 2001, 14(6): 1227-1242.
[1] Zhao T , Ai L , Feng J . An Intercomparison between NCEP Reanalysisand Observed Data over China[J]. Climatic and Environmental Research, 2004,9(2):278-294.
Y He , BB Lin . Study on Basin Segmentation and Sub Basin Classification Based on DEM[J]. Yellow River, 2014,37(7):25-28.
[1] Yao C , Zhijia L I , Zhang Y . Effects of DEM resolution on distributed hydrologic simulation[J]. Advances in Science and Technology of Water Resources, 2013,33(5):11-14.88.
Sun L, W Zang, S Huang, et al. Impact of DEM Spatial Resolution on Hydrological Characteristics Information Extraction and Runoff Simulation[J]. Journal of China Hydrology, 2014.34(6):21-25.
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