ArticleScientific data2024
The annual dynamic dataset of high-resolution crop water use in China from 1991 to 2019.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A 1-km Dataset of Water Consumption and Irrigation for Major Grain Crops in the Yellow River Basin Based on the Crop Water Production Function.Scientific data · 2026Article
- High-resolution water footprints of major crops in China from cities to grids.Scientific reports · 2025Article
- Spatiotemporal dynamics of crop water use and groundwater depletion under the winter wheat-summer maize rotation system in Henan Province, China.Frontiers in plant science · 2025Article
- The annual dynamic dataset of high-resolution crop water use in China from 1991 to 2019.Scientific data · 2024Article
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Authors and funding
2 authors.
Funding
Abstract
Accurately quantifying agricultural water use is essential for protecting agricultural systems from the risk of water scarcity and promoting sustainable water management. While previous studies have innovatively provided spatially explicit analyses or datasets, they tend to have relatively coarse resolution (~8.3 km), and inadequately considered precise localization parameters. Here, we produced annual blue and green water use for 15 main crops with a resolution of 1 km for the years 1991-2019 in China. Firstly, we estimated the yearly crop blue and green water use at the site scale by incorporating more localized input parameters using a dynamic water balance model. Then, the random forest model was combined with site-scale simulation results to generate spatial predictions of blue and green water for each crop from 1991 to 2019. The resulting maps showed a high correlation with locally observed values at field stations (R
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Registered trials
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