Wenmei Cai , Li Ren , Li Zhang , Yutong Liu , Wenjiao Yang
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引用次数: 0
Abstract
Hydrological studies in ungauged regions have garnered significant interest in recent research. This paper presents the development of a VIC model utilizing topographic, vegetation, soil, and climate data. The model parameters were calibrated and validated with measured flow data from the watershed. Through parameter transplantation, the calibrated parameters were applied to simulate the spatial distribution and annual allocation process of water resources in the Nam Ou River Basin. The analysis revealed that the spatial distribution of water resources and runoff coefficients closely aligns with the spatial distribution of precipitation, indicating a strong correlation between water resources and precipitation in the basin. From 1980 to 2010, the average water resources for the basin were estimated at 16.4 billion m3, with a rainy period from May to September. August recorded the highest water resources, while the dry period from December to February saw the lowest water resources in February. Upon evaluating the results’ robustness, it was concluded that the VIC model’s simulation accuracy is high, making it a valuable tool for future research in areas with insufficient or absent data.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.