Land-Use-Based Runoff Yield Method to Modify Hydrological Model for Flood Management: A Case in the Basin of Simple Underlying Surface

Abstract

The study of runoff under the influence of human activities is a research hot spot in the field of water science. Land-use change is one of the main forms of human activities and it is also the major driver of changes to the runoff process. As for the relationship between land use and the runoff process, runoff yield theories pointed out that the runoff yield capacity is spatially heterogeneous. The present work hypothesizes that the distribution of the runoff yield can be divided by land use, which is, areas with the same land-use type are similar in runoff yield, while areas of different land uses are significantly different. To prove it, we proposed a land-use-based framework for runoff yield calculations based on a conceptual rainfall–runoff model, the Xin’anjiang (XAJ) model. Based on the framework, the modified land-use-based Xin’anjiang (L-XAJ) model was constructed by replacing the yielding area (f/F) in the water storage capacity curve of the XAJ model with the area ratio of different land-use types (L/F; L is the area of specific land-use types, F is the whole basin area). The L-XAJ model was then applied to the typical cultivated–urban binary land-use-type basin (Taipingchi basin) to evaluate its performance. Results showed great success of the L-XAJ model, which demonstrated the area ratio of different land-use types can represent the corresponding yielding area in the XAJ model. The L-XAJ model enhanced the physical meaning of the runoff generation in the XAJ model and was expected to be used in the sustainable development of basin water resources.

Temporal and Spatial Variations in Landscape Habitat Quality under Multiple Land-Use/Land-Cover Scenarios Based on the PLUS-InVEST Model in the Yangtze River Basin, China

“…Transfer probability between different land-use types is calculated based on historical land use and other relevant data. The transition matrix is built, and the results of the CA model prediction are used to calculate and weigh the probability of each cell using different functions in the future using Markov's model [32]. Finally, future land-use patterns are projected by modeling future land-use changes through CA.…”

Study of Flood Simulation in Small and Medium-Sized Basins Based on the Liuxihe Model

“…At present, the flood forecasting methods for small and medium-sized watersheds in areas lacking hydrological data mainly include lumped models [5][6][7][8][9] and distributed models [10]. Representative models of lumped models are the Stanford model [11], the ARNO model [12], and the Xinanjiang model [13,14]. Among them, the Xinanjiang model is a lumped hydrological model that can reflect the physical process of rainfall runoff formation to some extent.…”