Study on the Contribution of Land Use and Climate Change to Available Water Resources in Basins Based on Vector Autoregression (VAR) Model

Under the influence of global climate change and urbanization processes, the number of available water resources (AWRs) in basins has become significantly more uncertain, which has restricted the sustainable development of basins. Therefore, it is important for us to understand the relationship betw...

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Main Authors: Mengmeng Jiang, Zening Wu, Xi Guo, Huiliang Wang, Yihong Zhou
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/15/11/2130
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author Mengmeng Jiang
Zening Wu
Xi Guo
Huiliang Wang
Yihong Zhou
author_facet Mengmeng Jiang
Zening Wu
Xi Guo
Huiliang Wang
Yihong Zhou
author_sort Mengmeng Jiang
collection DOAJ
description Under the influence of global climate change and urbanization processes, the number of available water resources (AWRs) in basins has become significantly more uncertain, which has restricted the sustainable development of basins. Therefore, it is important for us to understand the relationship between land use (LU) patterns and climate change on AWRs in a basin for sustainable development. To this end, the vector autoregressive (VAR) method was adopted to construct a quantitative model for AWRs in the basin in this study. Taking the Yiluo River Basin (YRB) as an example, the dynamic relationship between the five elements of agricultural land (AD), woodland (WD), grassland (GD), construction land (CD), and annual precipitation (PREP) and AWRs in the basin was studied. The results show the following: (1) The constructed VAR model was stable, indicating that the use of the proposed VAR model to characterize the degree of the effect of LU pattern and PREP on AWRs in the YRB was reasonable and effective. (2) AWRs in the YRB showed a downward trend, and their responses to the change in LU and PREP were delayed. The changes in the AWRs in the YRB tended to occur the year after changes to the LU pattern and PREP occurred. (3) In the long run, the degree of the contribution of each influencing factor to changes to AWRs was 23.76% (AD), 6.09% (PREP), 4.56% (CD), 4.40% (WD), and 4.34% (GD), which meant that the impact of the LU pattern was more than 90%. This study provides new ideas for similar research, water resource allocation, and LU planning in other river basins from a macroscopic perspective.
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spelling doaj.art-8bc5314fd7e54b5cbd1590e4ffdd70322023-11-18T08:48:00ZengMDPI AGWater2073-44412023-06-011511213010.3390/w15112130Study on the Contribution of Land Use and Climate Change to Available Water Resources in Basins Based on Vector Autoregression (VAR) ModelMengmeng Jiang0Zening Wu1Xi Guo2Huiliang Wang3Yihong Zhou4School of Water Conservancy and Civil Engineering, Zhengzhou University, Zhengzhou 450001, ChinaYellow River Laboratory, Zhengzhou University, Zhengzhou 450001, ChinaYellow River Laboratory, Zhengzhou University, Zhengzhou 450001, ChinaYellow River Laboratory, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Water Conservancy and Civil Engineering, Zhengzhou University, Zhengzhou 450001, ChinaUnder the influence of global climate change and urbanization processes, the number of available water resources (AWRs) in basins has become significantly more uncertain, which has restricted the sustainable development of basins. Therefore, it is important for us to understand the relationship between land use (LU) patterns and climate change on AWRs in a basin for sustainable development. To this end, the vector autoregressive (VAR) method was adopted to construct a quantitative model for AWRs in the basin in this study. Taking the Yiluo River Basin (YRB) as an example, the dynamic relationship between the five elements of agricultural land (AD), woodland (WD), grassland (GD), construction land (CD), and annual precipitation (PREP) and AWRs in the basin was studied. The results show the following: (1) The constructed VAR model was stable, indicating that the use of the proposed VAR model to characterize the degree of the effect of LU pattern and PREP on AWRs in the YRB was reasonable and effective. (2) AWRs in the YRB showed a downward trend, and their responses to the change in LU and PREP were delayed. The changes in the AWRs in the YRB tended to occur the year after changes to the LU pattern and PREP occurred. (3) In the long run, the degree of the contribution of each influencing factor to changes to AWRs was 23.76% (AD), 6.09% (PREP), 4.56% (CD), 4.40% (WD), and 4.34% (GD), which meant that the impact of the LU pattern was more than 90%. This study provides new ideas for similar research, water resource allocation, and LU planning in other river basins from a macroscopic perspective.https://www.mdpi.com/2073-4441/15/11/2130basin managementavailable water resources (AWRs)land use changeprecipitationvector autoregression (VAR) model
spellingShingle Mengmeng Jiang
Zening Wu
Xi Guo
Huiliang Wang
Yihong Zhou
Study on the Contribution of Land Use and Climate Change to Available Water Resources in Basins Based on Vector Autoregression (VAR) Model
Water
basin management
available water resources (AWRs)
land use change
precipitation
vector autoregression (VAR) model
title Study on the Contribution of Land Use and Climate Change to Available Water Resources in Basins Based on Vector Autoregression (VAR) Model
title_full Study on the Contribution of Land Use and Climate Change to Available Water Resources in Basins Based on Vector Autoregression (VAR) Model
title_fullStr Study on the Contribution of Land Use and Climate Change to Available Water Resources in Basins Based on Vector Autoregression (VAR) Model
title_full_unstemmed Study on the Contribution of Land Use and Climate Change to Available Water Resources in Basins Based on Vector Autoregression (VAR) Model
title_short Study on the Contribution of Land Use and Climate Change to Available Water Resources in Basins Based on Vector Autoregression (VAR) Model
title_sort study on the contribution of land use and climate change to available water resources in basins based on vector autoregression var model
topic basin management
available water resources (AWRs)
land use change
precipitation
vector autoregression (VAR) model
url https://www.mdpi.com/2073-4441/15/11/2130
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