Ideological and Political Design and Practice of Hydrology and Water Resources Curriculum based on Blending Learning

Curriculum ideological and political is a breakthrough and new starting point for the establishment of morality in colleges and universities, and is an effective way to train socialist builders and successors. We mainly take the geographical science professional course "Hydrology and Water Resources" as an example, starting with the curriculum ideological and political design concept, design ideas, teaching implementation and effects, and discussing the strategy of developing curriculum ideological and political under the online and offline mixed teaching mode, and It analyzes the methods in detail and methods of integrating political identity, professional ethics, professional literacy, scientific exploration spirit, dialectical thinking, scientific and cultural literacy, environmental protection awareness and other ideological and political elements before, during and after class, and implements the goal of training geography teachers to achieve the purpose of educating people for the party and educating talents for the country. Through a questionnaire survey of the 2019 students of geographic science class, the result shows that the ideological and political design and practice of hydrology and water resources courses based on the online and offline hybrid teaching of Chaoxing Xuetong have been highly praised by the students.

HydroLang: An Open-Source Web-Based Programming Framework for Hydrological Sciences

This paper presents HydroLang, an open-source and integrated community-driven computational web framework to support research and education in hydrology and water resources. HydroLang uses client-side web technologies and standards to perform different routines which aim towards the acquisition, management, transformation, analysis and visualization of hydrological datasets. HydroLang is comprised of four main high-cohesion low-coupling modules for: (1) retrieving, manipulating, and transforming raw hydrological data, (2) statistical operations, hydrological analysis, and creating models, (3) generating graphical and tabular data representations, and (4) mapping and geospatial data visualization. Two extensive case studies (i.e., evaluation of lumped models and development of a rainfall disaggregation model) have been presented to demonstrate the framework’s capabilities, portability, and interoperability. HydroLang’s unique modular architecture and open-source nature allow it to be easily tailored into any use case and web framework and promote iterative enhancements with community involvement to establish the comprehensive next-generation hydrological software toolkit.

Probabilistic Assessment of Monthly River Flow Discharge Using Copula And OSVR Approaches

Simulation of flow discharge based on monthly precipitation values as inputs is one of the important issues in hydrology and water resources studies, especially in areas where data with the shorter time scales are not available. In this study, the applicability of support vector regression (SVR) model optimized by Ant colony and Copula-GARCH algorithms was investigated and compared to simulate the flow discharge based on total monthly rainfall in Talezang Basin, Iran. Entropy theory was used to select a suitable meteorological station corresponding to a hydrometric station. The vector autoregressive model was also used as the base model in Copula-GARCH simulations. The correlation results of the studied paired variable confirmed the possibility of using copula-based models. The simulation results were evaluated using R2, Nash-Sutcliffe Efficiency (NSE) and root mean square error (RMSE) statistics. According to the 99% confidence intervals of the simulations, the accuracy of both models was confirmed. The simulation results showed that the Copula-GARCH model was more accurate than the optimized SVR (OSVR) model. Considering the 90% efficiency (NSE = 0.90) of Copula-GARCH approach, the results show a 36% improvement of RMSE statistics by Copula-GARCH model compared to OSVR model in simulating the flow discharge on a monthly scale. The results also showed that by combining nonlinear ARCH models with the copula-based simulations, the reliability of the simulation results increases, which was also confirmed using the violin plot. The results also showed an increase in the accuracy of the Copula-GARCH model at the minimum and maximum values of the data.