Understanding Agricultural Water Consumption Trends in Henan Province: A Spatio-Temporal and Determinant Analysis Using Geospatial Models

In the context of water scarcity, understanding the mechanisms influencing and altering agricultural water consumption can offer valuable insights into the scientific management of limited water resources. Using Henan Province as a case study, this research applies the Mann–Kendall test method, the...

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Bibliographic Details
Published in:Agriculture (Basel) 2024-12, Vol.14 (12), p.2253
Main Authors: Li, Yanbin, Han, Yuhang, Li, Hongxing, Feng, Kai
Format: Article
Language:English
Subjects:
Agricultural industry
Agricultural production
Agricultural resources
agricultural water management
Agriculture
Air temperature
Aquatic resources
Case studies
China
Content analysis
Decomposition
Detectors
Divisia decomposition
driving effect
Economic development
influencing factors
Irrigation
Management
Markov chains
Methods
Precipitation
Rivers
Spatial distribution
spatio-temporal evolution
Sustainable development
Trends
Water
Water consumption
Water diversion
Water in agriculture
Water resources
Water scarcity
Water shortages
Water supply
Water-supply, Agricultural
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Summary:In the context of water scarcity, understanding the mechanisms influencing and altering agricultural water consumption can offer valuable insights into the scientific management of limited water resources. Using Henan Province as a case study, this research applies the Mann–Kendall test method, the spatial Markov transfer chain model, the optimal parameter geo-detector model, and the Logarithmic Mean Divisia Index (LMDI) decomposition method to investigate the evolution characteristics of agricultural water consumption in Henan Province and its key influencing factors. The findings revealed the following: (1) Agricultural water consumption has shown a significant decline from 1999 to 2022. (2) According to observations, the stability of agricultural water consumption exceeds the spillover effect, and cross-border grade transfer is challenging. Moreover, this phenomenon is influenced by the neighboring regions. (3) The key influencing factors of added agricultural value are the sown area of food crops, total sown area, irrigated area, and average annual air temperature. (4) Among the decomposition effects on agricultural water consumption, the contribution of each decomposition effect to changes in agricultural water consumption and the role of spatial distribution exhibit notable differences. Overall, these findings provide theoretical references for the efficient use of agricultural water resources and sustainable development in the region.
ISSN:2077-0472
2077-0472
DOI:10.3390/agriculture14122253