Multisource data-based integrated drought monitoring index: Model development and application
文献类型：期刊论文
| 作者 | Zhang, Qiang; Shi, Rui; Xu, Chong-Yu; Sun, Peng; Yu, Huiqian ; Zhao, Jiaqi
|
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2022 |
| 卷号 | 615页码:128644-1-18 |
| 关键词 | Remote sensing Drought monitoring Multiple linear regression Principle component analysis Gradient boosting method |
| ISSN号 | 0022-1694 |
| 英文摘要 | In this study, we proposed a new integrated remote sensing drought monitoring indices, i.e. Multiple Remote Sensing Drought Index integrated by Principal Component Analysis (PSDI), Multiple Remote Sensing Drought Index integrated by multiple linear regression (MRSDI) and Multiple Remote Sensing drought index integrated by gradient boosting method (GBMDI), based on the Precipitation Condition Index (PCI), Temperature Condition Index (TCI), Vegetation Condition Index (VCI), and Soil Moisture Condition Index (SMCI). The monitoring performance of PSDI, MRSDI and GBMDI was compared and verified based on the real-world observed droughts during 2002 to 2016. We also evidenced drought monitoring performance of the PSDI MRSDI and GBMDI by comparison between PSDI, MRSDI, GBMDI and SPEI, SPI and PDSI based on the in situ observed meteorological data. We found that the spatiotemporal characteristics of droughts monitored by the PSDI, MRSDI and GBMDI were generally in good agreement with those by the SPI and SPEI. The GBMDI performs better than PSDI and MRSDI in describing drought processes and spatial patterns of droughts of different drought intensities. Com-parison between the real-world observed drought-affected croplands and those monitored by PSDI, MRSDI and GBMDI indicated better drought monitoring performance of GBMDI than PSDI and MRSDI in monitoring droughts across widespread drought-affected regions. Besides, the trend of GBMDI is in good agreement with standardized crop yield. Therefore GBMDI should be the first choice in drought monitoring practice. The GBMDI developed in this study can help to provide an alternative drought monitoring index for large-scale drought monitoring across China and also in other regions of the globe. |
| 源URL | [https://ir.rcees.ac.cn/handle/311016/48421]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 作者单位 | 1.University of Chinese Academy of Sciences, CAS 2.Chinese Academy of Sciences 3.Beijing Normal University 4.China Meteorological Administration 5.University of Oslo 6.Anhui Normal University 7.Research Center for Eco-Environmental Sciences (RCEES) |
| 推荐引用方式 GB/T 7714 | Zhang, Qiang,Shi, Rui,Xu, Chong-Yu,et al. Multisource data-based integrated drought monitoring index: Model development and application[J]. JOURNAL OF HYDROLOGY,2022,615:128644-1-18. |
| APA | Zhang, Qiang,Shi, Rui,Xu, Chong-Yu,Sun, Peng,Yu, Huiqian,&Zhao, Jiaqi.(2022).Multisource data-based integrated drought monitoring index: Model development and application.JOURNAL OF HYDROLOGY,615,128644-1-18. |
| MLA | Zhang, Qiang,et al."Multisource data-based integrated drought monitoring index: Model development and application".JOURNAL OF HYDROLOGY 615(2022):128644-1-18. |
入库方式： OAI收割
来源：生态环境研究中心
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