The China Meteorological Assimilation Driving Datasets for the SWAT model (CMADS) and it's Application in the Heihe River Basin in China

Wang, Hao; Meng, Xianyong; Cai, Siyu; Lei, Xiaohui; Leng, Guoyong; Shi, Chunxiang; Liu, Shiyin

doi:10.20944/preprints201612.0091.v1

Cited by 5 publications

(2 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…CMADS for the SWAT model of Version 1.1 were used to provide meteorological data [35]. SWAT automatically read the data from nearly 40 stations, which included over 200 meteorological elements (e.g., rainfall, temperature, relative humidity, solar radiation and wind speed data) (See Fig.…”

Section: Meteorological Datamentioning

confidence: 99%

Hydrological modeling in the Manas River Basin using soil and water assessment tool driven by CMADS

et al. 2017

View full text Add to dashboard Cite

Original scientific paper Hydrological simulation in meteorological ungauged areas has always been a difficult problem for the study on atmospheric and hydrological coupling; meanwhile, it is also one of the important factors that restrict model development and basin water resource knowledge. To analyze the mechanism of atmospheric and hydrological coupling, this study quantitatively evaluated water cycle situation in basins covered with glaciers and snow, and chose the Manas River Basin (MRB) in China as the typical research area to verify the adaptability of the China Meteorological Assimilation Driving Datasets for the Soil and Water Assessment Tool model (CMADS). The SWAT model was firstly built to simulate water resources, then we calibrated the model with CMADS dataset and started localization in the Manas River Basin (MRB), China, and finally calibrated simulated runoff with observed data SWAT-CUP (SWAT Calibration and Uncertainty Programs). In addition, parameter sensitivity analysis, and parameter calibration and validation were also included in the present study. Results showed that the SWAT model could well reproduce the runoff process of two stations (Kenswat and Hongshanzui) in the research area by using data from CMADS. The simulation performed well on monthly scale in both stations, where R 2 = (0,556÷0,999) and NSE = (0,937÷0,998), and also showed satisfactory effects, where R 2 = (0,927÷0,993) and NSE = (0,836÷0,997).Our research suggests that the SWAT model can show satisfactory results through parameter calibration in areas with high glacial recharge rate. Moreover, CMADS can provide necessary meteorological data for SWAT simulations, and support parameter calibration and historical surface data analysis. Hidrološko modeliranje u porječju rijeke Manas primjenom alata za procjenu tla i vode pomoću CMADS-aIzvorni znanstveni članka Hidrološka simulacija u meteorološki neispitanim područjima oduvijek je težak problem u proučavanju atmosferskih i hidroloških odnosa; to je također jedan od važnih faktora koji ograničavaju razvoj modela i spoznaju o izvoru vode u porječju. U svrhu analize atmosferskih i hidroloških odnosa; u radu se daje kvantitativna procjena promjene vodotokova u porječjima prekrivenim ledenjacima i snijegom, te je izabrano porječje rijeke Manas (Manas River Basin -MRB) u Kini kao tipično područje istraživanja u svrhu provjere prilagodljivosti meteoroloških podataka u Kini (China Meteorological Assimilation Driving Datasets) -CMADS, za model alata za procjenu tla i vode -Soil and Water Assessment Tool model (SWAT). Taj se model prvenstveno koristio za simulaciju izvora vode, a zatim smo ga kalibrirali s podacima CMADS-a, lokalizirali u porječje rijeke Manas (MRB), Kina, te konačno kalibrirali simulirano oticanje s dobivenim podacima SWAT-CUP (SWAT Calibration and Uncertainty Programs). Uz to, u ovo je istraživanje također uključena analiza osjetljivosti parametara te ocjena i kalibriranje parametara. Rezultati su pokazali da se modelom SWAT može dobro reproducirati proces oticanja v...

show abstract

Section: Meteorological Datamentioning

confidence: 99%

Hydrological modeling in the Manas River Basin using soil and water assessment tool driven by CMADS

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Distributed hydrological model is a mathematical model for modeling basin hydrology that divides the basin into diversity simulation units according to the combinations of land use, soil, and landscape and describes the spatial and temporal processes of the water cycle in a distributed manner, which is an effective means and an essential tool for exploring scientific problems of the water cycle and solving practical issues about water resources [1][2]. With the development of telemetry technologies such as GIS, digital elevation models, remote sensing, aerial surveys, and radar, the spatial and temporal accuracy of precipitation, evaporation, topography, land cover, and soil information required for distributed hydrologic model input has been increasing.…”

Section: Introductionmentioning

confidence: 99%

Parallel simulation of hydrological model based on container and automated deployment tools

Zhu¹,

Zhang²

2023

International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022)

View full text Add to dashboard Cite

The increasing use of fine spatial and temporal data in hydrological modeling has resulted in a prohibitively computational demand and run time. The serial computing method adopted by most modeling routines has largely hindered the application of high-fidelity distributed hydrological models. This study proposes a parallel simulation method for hydrological models based on container and automated deployment tools, i.e., Docker and Kubernetes, to achieve parallel simulation of hydrological models on a container cluster. Specifically, the Soil and Water Assessment Tool (SWAT) is used as an example to verify the efficiency of the proposed method by comparing it with the traditional serial simulation method. The experimental results show that the combined application of Kubernetes and Docker can significantly improve the simulation efficiency of the SWAT model. A maximum speedup of 3.6 times was achieved on a Docker cluster consisting of 10 virtual worker nodes. Due to the remarkable encapsulation ability of the container technology, the proposed parallelization method can also be applied to other environment models in the future, and the simulation efficiency can be further improved by extending the Docker cluster.

show abstract

New grassland riparian zone delineation method for calculating ecological water demand to guide management goals

Lan

2020

River Research & Apps

View full text Add to dashboard Cite

River flow provides water that maintains the ecological health of both the river itself and the adjoining riparian zones. However, there is a lack of clear definition and identification method of the riparian zone of inland river basins with narrow river channels and anthropogenic intervention reservoirs. In this study, we developed a new method to delineate semiarid grassland riparian zones by taking the Xilin River (Inner Mongolia, China) basin as a case study for providing an opportunity for a more accurate estimation of the ecological water demand of riparian zone. The extent of the riparian zones with different geomorphological and hydrological characteristics was determined by using unmanned aerial vehicle (UAV) images at five river sections along the reach under the combination of natural variations and the regulation by the dams. After mapping each river section, river length and riparian zone area were shown to have a strong relationship (ρs = 0.9; p < .05), which was extended to calculate the downstream riparian zone area by using its river length. Moreover, we applied the distribution flow method to calculate the river ecological water demand and employed the Penman‐Monteith method to calculate riparian zone ecological water demand. The results showed that the river ecological water demand of the downstream of the reservoir was approximately 6.5×106 m3 per year while riparian zone was 2075.1×106 m3. Only 36, 19, and 15% of the ecological water demand can be met in the hydrological wet, average, and dry years, respectively, because of improper reservoir management and the inability of the discharge of the reservoir to meet the ecological water demand of the downstream riparian zone. Our data illustrate the impact and importance of river flow on the downstream degradation of riparian grasslands and can motivate reservoir management in semiarid areas, which will be helpful to guide water regulations to meet environmental and ecological needs.

show abstract

The China Meteorological Assimilation Driving Datasets for the SWAT model (CMADS) and it's Application in the Heihe River Basin in China

Cited by 5 publications

References 35 publications

Hydrological modeling in the Manas River Basin using soil and water assessment tool driven by CMADS

Hydrological modeling in the Manas River Basin using soil and water assessment tool driven by CMADS

Parallel simulation of hydrological model based on container and automated deployment tools

New grassland riparian zone delineation method for calculating ecological water demand to guide management goals

Contact Info

Product

Resources

About