## 4 Result and Analysis
### The Calibration and Validation of Parameters
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Data Type** & **Data Sources** & **Data Description** \\ \hline DEM altitude data & \begin{tabular}{c} Geospatial Data Cloud \\ [[https://www.gscloud.cn/](https://www.gscloud.cn/)]([https://www.gscloud.cn/](https://www.gscloud.cn/)) (accessed on \\ 19 September 2024) \\ \end{tabular} & \begin{tabular}{c} The accuracy is ASTER GDEM 30M. DEM data were used to determine the number of sub-basians and generate a \\ river network to determine the outlet location of the basin. \\ \end{tabular} \\ \hline Soil type data & \begin{tabular}{c} National Tibetan PlateauScientific Data Center \\ [[https://data.tptdc.ac.cn/](https://data.tptdc.ac.cn/)]([https://data.tptdc.ac.cn/](https://data.tptdc.ac.cn/)) (accessed on \\ 19 September 2024) \\ \end{tabular} & \begin{tabular}{c} The soil dataset based on the World Soil Database (HWSD) \\ was selected, and the soil data within the study area were \\ obtained after cutting and mosaicking. \\ \end{tabular} \\ \hline Land use type data & \begin{tabular}{c} Resource and Environmental Science \\ Data Platform \\ [[https://www.resdc.cn/](https://www.resdc.cn/)]([https://www.resdc.cn/](https://www.resdc.cn/)) (accessed on \\ 21 September 2024) \\ \end{tabular} & \begin{tabular}{c} The land use type of the study area was divided into six \\ categories by selecting the national remote sensing \\ monitoring data with 1 km accuracy in 2020. \\ \end{tabular} \\ \hline Weather and meteorological data & \begin{tabular}{c} National Tibetan Plateau Scientific Data Center \\ [[https://data.tptdc.ac.cn/](https://data.tptdc.ac.cn/)]([https://data.tptdc.ac.cn/](https://data.tptdc.ac.cn/)) (accessed on \\ data & 19 September 2024) \\ \end{tabular} & \begin{tabular}{c} The Atmospheric Assimilation Drive Set (CMADS V1.0), selected from 2008 to 2016, contains the meteorological \\ data \\ \end{tabular} \\ \hline Potential evapotranspiration data & \begin{tabular}{c} National Earth System Science Data Center \\ [[https://www.geodata.cn/aboutus.html](https://www.geodata.cn/aboutus.html)]([https://www.geodata.cn/aboutus.html](https://www.geodata.cn/aboutus.html)) \\ (accessed on 22 September 2024) \\ \end{tabular} & \begin{tabular}{c} The 1 km-resolution monthly potential evapotranspiration \\ dataset of China from 1901 to 2023 was selected, and the \\ data from 2010 to 2018 were extracted and calculated by a \\ grid computer to obtain the 1 km-precision potential \\ evapotranspiration data in the study area during the \\ period from 2010 to 2018. \\ \end{tabular} \\ \hline Bedrock depth data & \
\begin{tabular}{c} International Soil Reference and \\ Information Centre \\ [[https://www.isric.org/](https://www.isric.org/)]([https://www.isric.org/](https://www.isric.org/)) (accessed on \\ 17 November 2024) \\ \end{tabular} &
\begin{tabular}{c} Download the 250 m precision DTB bedrock depth data \\ for China and extract the data within the study area. \\ \end{tabular} \\ \hline \hline \end{tabular}
\end{table} 
Table 4: The basic geographic data table required for the Mudanjiang City section of the Mudanjiang River Basin. precipitation, and river systems in mountainous and flat terrains, owing to disparities in flow characteristics and data variability. Data from humid regions exhibit significant fluctuations, and the model's performance under identical R\({}^{2}\) and NS metrics may surpass that in arid regions. Mountainous rivers, influenced by complex hydrological processes and terrain, may necessitate larger R\({}^{2}\) and NS values to achieve superior simulation accuracy compared to flat river networks. The research area is predominantly characterized by steep and hilly terrain, with R\({}^{2}\) and NS values of 0.75 and 0.77, respectively, following parameter calibration, signifying enhanced reliability of the model simulation. The ideal parameters are presented in Table 5.  
In academic circles, it is widely accepted that a model exhibits superior fitting accuracy when R\({}^{2}\) exceeds 0.70 and NS surpasses 0.60.