The Effect of a Parcel-Aggregated Cropping Structure Mapping Method in Irrigation-Water Estimation in Arid Regions-A Case Study of the Weigan River Basin in Xinjiang
文献类型:期刊论文
作者 | Wang, Haoyu1,2,3,4,5; Bai, Linze6; Wei, Chunxia7; Li, Junli2; Li, Shuo3,8; Zhou, Chenghu3,9; De Maeyer, Philippe1,4,5; Kou, Wenqi3,8; Zhang, Chi3,8; Shen, Zhanfeng3,8 |
刊名 | REMOTE SENSING
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出版日期 | 2024-11-01 |
卷号 | 16期号:21页码:19 |
关键词 | parcel cropping structure irrigation estimation water balance |
DOI | 10.3390/rs16213941 |
产权排序 | 9 |
英文摘要 | Effective management of agricultural water resources in arid regions relies on precise estimation of irrigation-water demand. Most previous studies have adopted pixel-level mapping methods to estimate irrigation-water demand, often leading to inaccuracies when applied in arid areas where land salinization is severe and where poorly growing crops cause the growing area to be smaller than the sown area. To address this issue and improve the accuracy of irrigation-water demand estimation, this study utilizes parcel-aggregated cropping structure mapping. We conducted a case study in the Weigan River Basin, Xinjiang, China. Deep learning techniques, the Richer Convolutional Features model, and the bilayer Long Short-Term Memory model were applied to extract parcel-aggregated cropping structures. By analyzing the cropping patterns, we estimated the irrigation-water demand and calculated the supply using statistical data and the water balance approach. The results indicated that in 2020, the cultivated area in the Weigan River Basin was 5.29 x 105 hectares, distributed over 853,404 parcels with an average size of 6202 m2. Based on the parcel-aggregated cropping structure, the estimated irrigation-water demand ranges from 25.1 x 108 m3 to 30.0 x 108 m3, representing a 5.57% increase compared to the pixel-level estimates. This increase highlights the effectiveness of the parcel-aggregated cropping structure in capturing the actual irrigation-water requirements, particularly in areas with severe soil salinization and patchy crop growth. The supply was calculated at 24.4 x 108 m3 according to the water balance approach, resulting in a minimal water deficit of 0.64 x 108 m3, underscoring the challenges in managing agricultural water resources in arid regions. Overall, the use of parcel-aggregated cropping structure mapping addresses the issue of irrigation-water demand underestimation associated with pixel-level mapping in arid regions. This study provides a methodological framework for efficient agricultural water resource management and sustainable development in arid regions. |
资助项目 | Third Integrated Scientific Expedition Project in Xinjiang ; National Natural Sciences Foundation of China[U2003201] ; Key Research and Development Program of Xinjiang Uygur Autonomous Region[2022B03001-3] ; Tianshan Talent-Science and Technology Innovation Team[2022TSYCTD0006] ; Chinese Academy of Sciences President's International Fellowship Initiative[2024PVB0064] ; [2021xjkk1403] |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:001351997200001 |
出版者 | MDPI |
资助机构 | Third Integrated Scientific Expedition Project in Xinjiang ; National Natural Sciences Foundation of China ; Key Research and Development Program of Xinjiang Uygur Autonomous Region ; Tianshan Talent-Science and Technology Innovation Team ; Chinese Academy of Sciences President's International Fellowship Initiative |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/211017] ![]() |
专题 | 资源与环境信息系统国家重点实验室_外文论文 |
通讯作者 | Shen, Zhanfeng |
作者单位 | 1.Sino Belgian Joint Lab Geoinformat, B-9000 Ghent, Belgium 2.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Natl Key Lab Ecol Secur & Sustainable Dev Arid Reg, Urumqi 830011, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Univ Ghent, Dept Geog, B-9000 Ghent, Belgium 5.Sino Belgian Joint Lab Geoinformat, Urumqi 830011, Peoples R China 6.Zhejiang Univ, Sch Earth Sci, 866 Yuhangtang Rd, Hangzhou 310058, Peoples R China 7.Xinjiang Tarim Populus Euphrat Natl Nat Reserve Ad, Korla 841000, Peoples R China 8.Chinese Acad Sci, Aerosp Informat Res Inst, Natl Engn Res Ctr Geomat, Beijing 100101, Peoples R China 9.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Haoyu,Bai, Linze,Wei, Chunxia,et al. The Effect of a Parcel-Aggregated Cropping Structure Mapping Method in Irrigation-Water Estimation in Arid Regions-A Case Study of the Weigan River Basin in Xinjiang[J]. REMOTE SENSING,2024,16(21):19. |
APA | Wang, Haoyu.,Bai, Linze.,Wei, Chunxia.,Li, Junli.,Li, Shuo.,...&van de Voorde, Tim.(2024).The Effect of a Parcel-Aggregated Cropping Structure Mapping Method in Irrigation-Water Estimation in Arid Regions-A Case Study of the Weigan River Basin in Xinjiang.REMOTE SENSING,16(21),19. |
MLA | Wang, Haoyu,et al."The Effect of a Parcel-Aggregated Cropping Structure Mapping Method in Irrigation-Water Estimation in Arid Regions-A Case Study of the Weigan River Basin in Xinjiang".REMOTE SENSING 16.21(2024):19. |
入库方式: OAI收割
来源:地理科学与资源研究所
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