Spatial-temporal variations in green, blue and gray water footprints of crops: how do socioeconomic drivers influence?
文献类型: 外文期刊
第一作者: Hu, Mengmeng
作者: Hu, Mengmeng;Wu, Wenbin;Yu, Qiangyi;Tang, Huajun;Wen, Yanru;Zhao, Fen
作者机构:
关键词: water footprint; socioeconomic driving factors; logarithmic mean divisia index (LMDI); Tapio decoupling; Heilongjiang
期刊名称:ENVIRONMENTAL RESEARCH LETTERS ( 影响因子:6.947; 五年影响因子:8.414 )
ISSN: 1748-9326
年卷期: 2022 年 17 卷 12 期
页码:
收录情况: SCI
摘要: Nowadays, more than 70% of global freshwater is used for agriculture. The evaluation of the water footprint of crops (CWFs) is an important method to measure the effects of crop production on water resource utilization and water environmental pollution. However, little attention is paid to the impact of socioeconomic development differences on the water footprint of each crop. In this study, the green, blue, and gray water footprints of crop production were quantified, and the socioeconomic drivers of changes in the CWFs were revealed. It is of great significance to provide targeted guidance for agricultural water management in Heilongjiang, a province with the largest crop production in China. Here, we show that the total water footprint of crop production (TWF) increased from 62.2 billion m(3) to 101.8 billion m(3), and high-value areas were mainly concentrated in the west and south of Heilongjiang Province. Over 95% of the total grain crops sown were covered by maize, rice and soybean, which presented the greatest TWF. The share of green water footprint in TWF has increased, and crop growth is increasingly dependent on rainfall. Furthermore, our results highlight that the effective irrigated quota and crop-planting scale for maize and rice contribute to TWF increase. The TWF and agricultural value-added score were weakly decoupling in most municipalities, indicating the improved efficiency of crop water use; the TWF is growing slower than the economy, which is undesirable. Changes in TWF and agricultural value-added score were the same as the left half of the inverted 'U of the 'Environmental Kuznets Curve', which has not reached the 'inflection point'. More efforts to control the effective irrigated quota and crop-planting scale while improving effective irrigated efficiency are needed to ensure that economic growth does not come at the expense of consuming enormous quantities of water.
分类号:
- 相关文献
作者其他论文 更多>>
-
Gully erosion susceptibility mapping considering seasonal variations of NDVI using a machine learning approach in the Mollisol region of China
作者:Gao, Ruilu;Gao, Maofang;Yao, Shuihong;Wen, Yanru
关键词:Vegetation cover; Crop cover variation; Remote sensing technique; Gully susceptibility; Random forest model
-
Extreme surface solar ultraviolet radiation events reduce maize yields in China
作者:Guan, Haixiang;Huang, Jianxi;Li, Xuecao;Zeng, Yelu;Su, Wei;Miao, Shuangxi;Zhu, Peng;Huang, Jianxi;Huang, Jianxi;Li, Xuecao;Zeng, Yelu;Su, Wei;Miao, Shuangxi;Jin, Zhenong;Ma, Yuyang;Wu, Wenbin;Wu, Wenbin;Wu, Bingfang;Wu, Bingfang
关键词:
-
Crop sample prediction and early mapping based on historical data: Exploration of an explainable FKAN framework
作者:Cheng, Feifei;Qiu, Bingwen;Yang, Peng;Wu, Wenbin;Yu, Qiangyi;Qian, Jianping;Wu, Bingfang;Chen, Jin;Chen, Xuehong;Tubiello, Francesco N.;Tryjanowski, Piotr;Takacs, Viktoria;Duan, Yuanlin;Lin, Lihui;Wang, Laigang;Zhang, Jianyang;Dong, Zhanjie
关键词:Historical Data; Sample generation; Crop mapping; Interpretability; Google Earth Engine
-
Field-scale irrigated winter wheat mapping using a novel cross-region slope length index in 3D canopy hydrothermal and spectral feature space
作者:Zhang, Youming;Yang, Guijun;Li, Zhenhong;Liu, Miao;Zhang, Jing;Gao, Meiling;Zhu, Wu;Zhang, Youming;Yang, Guijun;Yang, Xiaodong;Song, Xiaoyu;Long, Huiling;Liu, Miao;Meng, Yang;Thenkabail, Prasad S.;Wu, Wenbin;Zuo, Lijun;Meng, Yang
关键词:Winter wheat; Irrigation mapping; Hydrothermal and spectral feature; Cross-region; Rainfed line; Slope Length Index
-
A robust framework for mapping complex cropping patterns: The first national-scale 10 m map with 10 crops in China using Sentinel 1/2 images
作者:Qiu, Bingwen;Wu, Fangzheng;Hu, Xiang;Yang, Peng;Wu, Wenbin;Qian, Jianping;Chen, Jin;Chen, Xuehong;He, Liyin;Joe, Berry;Tubiello, Francesco N.;Wang, Laigang
关键词:Cropping patterns mapping; Model generalization; Dual-driven models; Crop diversity; Sentinel-1/2
-
Customized crop feature construction using genetic programming for early-and in-season crop mapping☆
作者:Wen, Caiyun;Lu, Miao;Xia, Lang;Sun, Jing;Shi, Yun;Wei, Yanbing;Wu, Wenbin;Lu, Miao;Bi, Ying;Bi, Ying
关键词:Remote Sensing; Crop mapping; Genetic Programming; Feature Construction; Customized feature
-
Integrating Historical Crop Rotation Changes Into Soil Organic Matter Mapping in the Cropland of Southeastern China
作者:Zhou, Furong;Xue, Jie;Wang, Zheng;Jin, Wuze;Shi, Zhou;Zhou, Lianqing;Chen, Songchao;Zhou, Furong;Xue, Jie;Wang, Zheng;Jin, Wuze;Shi, Zhou;Zhou, Lianqing;Chen, Songchao;Shi, Zhou;Yu, Qiangyi
关键词:digital soil mapping; soil organic matter; crop rotation changes; remote sensing; machine learning