Development of a leaf area index-based relative threshold method for identifying agricultural drought areas
文献类型：期刊论文
| 作者 | Shi, Jiali; Sang, Yan-Fang; Sun, Shao3,4; Aghakouchak, Amir3; Hu, Shi5,6; Dash, Sonam Sandeep2 |
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2024-09-01 |
| 卷号 | 641页码:131846 |
| 关键词 | Agricultural drought Drought-covered area Drought-damaged area Crop failure area Leaf area index Impact-based monitoring |
| DOI | 10.1016/j.jhydrol.2024.131846 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Considering the global aggravated agricultural drought condition, the availability of reliable historical agricultural drought information with high spatiotemporal resolution is crucial for accurate drought monitoring, effective water resources management, and sustainable agricultural development. However, the coarse spatiotemporal resolution of available historical agricultural drought datasets imposes great limitations on drought prevention and mitigation. Recognizing the research gap, this study developed a novel approach of leaf area index (LAI) relative thresholds to generate a 500 m-resolution agricultural drought areas dataset in the North China Plain (NCP) spanning the timeframe from 2006 to 2019. A range of key LAI relative thresholds were established to capture various levels of agricultural drought severity. Subsequently, a 500 m-resolution agricultural drought area dataset was generated, encompassing critical parameters of drought-covered area, drought- damaged area, and crop failure area for both summer-harvest and autumn-harvest seasons in each year. The relative thresholds for drought-covered area, drought-damaged area, and crop failure area yielded percentages of 56 %, 51 %, 34 % for summer-harvest crops and 45 %, 41 %, 28 % for autumn-harvest crops, respectively. To validate the credibility of the generated approach, historical agricultural drought areas data from the Bulletin of Flood and Drought Disasters in China were juxtaposed across various harvest seasons and multiple years. The spatial verification in the Hebei Province (one main province of the NCP) revealed a remarkable consistency between the newly generated dataset and the authentic dataset, demonstrating correlation efficiency estimates ranging from 0.70 to 0.83. The developed approach gives insights into the spatial distribution and coherence of agricultural drought impacted areas and sheds light on revealing the inter-annual dynamics of crop growing seasons. It can support for impact-based agricultural drought monitoring and prediction, and subsequently assist in optimizing agricultural water management and ensuring global food security. |
| WOS关键词 | WHEAT YIELD ESTIMATION ; NORTH CHINA PLAIN ; WINTER-WHEAT ; SOIL-MOISTURE ; VEGETATION INDEXES ; USE EFFICIENCY ; LANDSAT TM ; LAI ; ASSIMILATION ; SENSITIVITY |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| WOS记录号 | WOS:001299719800001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/207949]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 作者单位 | 1.King Abdullah Univ Sci & Technol, Phys Sci & Engn Div, Thuwal, Saudi Arabia 2.Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA 92697 USA 3.Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China 4.Univ Chinese Acad Sci, Beijing 101407, Peoples R China 5.Minist Emergency Management China, Key Lab Compound & Chained Nat Hazards, Beijing 100085, Peoples R China 6.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shi, Jiali,Sang, Yan-Fang,Sun, Shao,et al. Development of a leaf area index-based relative threshold method for identifying agricultural drought areas[J]. JOURNAL OF HYDROLOGY,2024,641:131846. |
| APA | Shi, Jiali,Sang, Yan-Fang,Sun, Shao,Aghakouchak, Amir,Hu, Shi,&Dash, Sonam Sandeep.(2024).Development of a leaf area index-based relative threshold method for identifying agricultural drought areas.JOURNAL OF HYDROLOGY,641,131846. |
| MLA | Shi, Jiali,et al."Development of a leaf area index-based relative threshold method for identifying agricultural drought areas".JOURNAL OF HYDROLOGY 641(2024):131846. |
入库方式： OAI收割
来源：地理科学与资源研究所
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