Research summary

My research focuses on watershed process modeling and scenario optimization.


I have been engaged in the research of watershed process modeling and scenario analysis since my doctoral stage.

The main scientific problem is focusing on how to effectively consider the spatial relationship (such as the relationships between BMPs and slope positions along a hillslope) in the framework of scenario analysis based on distributed watershed process modeling, then achieving the high efficient and easy-to-use decision support for watershed comprehensive management with the incorporation of multi-objective optimization algorithms and high-performance computing technique (Zhu, A.X. et al., 2019).

First, a flexible, easy-to-use and high-performance watershed process modeling framework namely SEIMS (Spatially Explicit Integrated Modeling System;Zhu et al., 2019a) was designed and implemented according to computation characteristics of scenario optimization based on distributed watershed process models. Then, the slope position units (such as ridge, backslope, valley, etc.) were proposed to be used as spatial units for BMP allocation (Qin et al., 2018), and the effectiveness and efficiency of the proposed method were discussed by comparing with other three main types of BMP configuration units (Zhu et al., 2019b). Furthermore, based on the automation of extracting fuzzy slope position information (Zhu et al., 2018), a novel BMP scenario optimization method based on the boundary­-adaptive slope po­sition units was proposed (Zhu et al., 2021).

The methodological studies formed a method framework for the decision-making of precision watershed management based on the “simulation-optimization” framework (Qin et al., 2024).