| Abstrakt: |
In the 1990s, the discipline of eco-hydrology was gradually derived. Eco-hydrology mainly studies the coupling mechanism and development law of ecological process and hydrological process. In recent years, water resources shortage, uneven spatial and temporal distribution of water resources, water waste, water pollution and other problems are prominent. It has become an urgent need for the rational allocation of water resources to master the distribution law of water resources with temporal and spatial changes, formulate ecological protection strategies suitable for sustainable development of local ecological environment, and establish watershed management and control mode and water resources development strategy based on water resources carrying capacity. To achieve the above requirements and objectives, eco-hydrological regionalization is the basis, and the objective of eco-hydrological regionalization is to provide a minimum management unit for analysis and evaluation under different ecological systems and hydrological characteristics. Eco-hydrological regionalization is mainly used to study the regional differentiation of eco-hydrological phenomena and reveal the regional distribution law of eco-hydrological phenomena. This paper focuses on the development of ecological regionalization, hydrological regionalization and eco-hydrological regionalization, the construction of ecohydrological regionalization index system, and the methods of eco-hydrological regionalization. The problems existing in the current research are discussed: foreign researches mainly focus on ecological regionalization or hydrological regionalization, but the regionalization considering the coupling relationship between ecology and hydrology is scarce. Although domestic researches on eco-hydrological regionalization have been carried out, they focus on traditional methods such as principal component analysis and clustering method, fixed time period analysis and large and medium spatial scale research. The future research direction and development trend are put forward: optimizing the evaluation index system, integrating multi-source data, improving the accuracy of regionalization method and monitoring the dynamic change of regionalization. [ABSTRACT FROM AUTHOR] |
