Abstract

In this study we simulated the watershed response according to future climate and land use change scenarios through a hydrological model and predicting future hydroclimate changes by applying the Budyko framework. Future climate change scenarios were derived from the UK Earth system model (UKESM1), and future land use changes were predicted using the future land use simulation (FLUS) model. To understand the overall trend of hydroclimatic conditions, the movements in Budyko space were represented as wind rose plots. Moreover, the impacts of climate and land use changes were separated, and the watersheds’ hydroclimatic conditions were classified into five groups. In future scenarios, both increase and decrease of aridity index were observed depending on the watershed, and land use change generally led to a decrease in the evaporation index. The results indicate that as hydroclimatic movement groups are more diversely distributed by region in future periods, regional adaptation strategies could be required to reduce hydroclimatic changes in each region. The results derived from this study can be used as basic data to establish an appropriate water resource management plan and the governments’ land use plan. As an extension of this study, we can consider more diverse land use characteristics and other global climate model (GCMs) in future papers.

Highlights

  • As we considered land use change as a factor of direct human activity, we separated the change in the evaporation index into the change caused by land use change (∆(E/P)l ) and change caused by climate change (∆(E/P)C )

  • We set the artificial neural network (ANN) model to consist of four neurons in the input layer corresponding to the number of spatial elements, 12 neurons in the hidden layers, and seven neurons in the output layer corresponding to the number of land use types

  • The hydrological model and Budyko framework were used to assess the hydroclimatic movement under future scenarios including both climate and land use changes

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Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. 2018; by 2050, this proportion is projected to increase to 68%. Urbanization leads to urban development demand, resulting in an increase in impervious surface areas. Increased imperviousness causes flooding of rivers, deterioration of water quality in watersheds during floods, and deficit of stored water during drought. It causes changes in the urban ecosystem, such as reducing the habitat of plants, leading, in turn, to disturbances in the water circulation system [2,3,4]

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