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| DOI | 10.3354/cr01558 |
| Multi-index drought characteristics in Songhua River Basin; Northeast China | |
| Faiz M.A.; Liu D.; Fu Q.; Baig F.; Tahir A.A.; Li M.; Khan M.I.; Shoaib M.; Li T.; Cui S. | |
| 发表日期 | 2019 |
| ISSN | 0936-577X |
| 起始页码 | 1 |
| 结束页码 | 19 |
| 卷号 | 78期号:1 |
| 英文摘要 | Due to global warming, Northeast China has been affected by droughts in recent decades, potentially leading to disastrous effects during the 21st century. Knowledge of drought characteristics, such as drought duration and severity, is very important to be able to mitigate natural hazards and manage water resources. Here, drought characteristics were assessed based on multiple meteorological drought indices (Standardized Precipitation Evapotranspiration Index, Supply Demand Drought Index, and Reconnaissance Drought Index) that are calculated using potential evapotranspiration (Thornthwaite equation) or reference evapotranspiration. Furthermore, a combination of general circulation models and drought indices was used to examine drought characteristics (duration, severity and intensity) and climate variables that possibly influence droughts for the periods 1961-2005 and 2006-2099. Different indices based on the Thornthwaite equation capture the same events but with varying magnitudes. Likewise, the reformulated drought indices based on reference evapotranspiration capture fewer drought years compared with temperature-based indices. In future projections of drought events, all indices show the highest drought occurrence under representative concentration pathway (RCP) 8.5 compared with other RCPs. The Harbin, Tonghe, Suihua, Jiamusi, and Mudanjiang stations experience a maximum of drought episodes in the late stage of the model calculations (2060−2099). Moreover, in the early and middle stages (2006−2030 and 2031−2060, respectively), the indices show fewer drought occurrences over the region compared with the late stage. The evaluation of potential contributors and climate-controlling factors suggests that temperature is a key climate factor that potentially contributes to drought behavior. Overall, the results imply that under future climate conditions, the risk of drought in Northeast China may increase at the end of the 21st century. © Inter-Research 2019 · www.int-res.com |
| 英文关键词 | Drought; GCMs · Reconnaissance Drought Index; General circulation models; RCP; RDI · Standardized Precipitation Evapotranspiration Index; Representative concentration pathway; SDDI; SPEI · Supply Demand Drought Index |
| 语种 | 英语 |
| scopus关键词 | climate change; climate effect; concentration (composition); drought stress; general circulation model; index method; potential evapotranspiration; water management; China; Harbin; Heilongjiang; Jiamusi; Mudanjiang; Songhua Basin |
| 来源期刊 | Climate Research
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/146937 |
| 作者单位 | School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang, 150030, China; Key Laboratory of Effective Utilization of Agricultural Water Resources of Ministry of Agriculture, Heilongjiang Provincial Collaborative Innovation Center of Grain Production Capacity Improvement, Key Laboratory of Water-Saving Agriculture, Ordinary University in Heilongjiang Province, Northeast Agricultural University, Harbin, Heilongjiang, 150030, China; Department of Agricultural Engineering, Bahauddin Zakariya University, Multan, 66000, Pakistan; Department of Environmental Sciences, COMSATS Institute of Information Technology, Abbottabad, 22060, Pakistan; Department of Irrigation and Drainage, Faculty of Agricultural Engineering, University of Agriculture, Faisalabad, 38000, Pakistan |
| 推荐引用方式 GB/T 7714 | Faiz M.A.,Liu D.,Fu Q.,et al. Multi-index drought characteristics in Songhua River Basin; Northeast China[J],2019,78(1). |
| APA | Faiz M.A..,Liu D..,Fu Q..,Baig F..,Tahir A.A..,...&Cui S..(2019).Multi-index drought characteristics in Songhua River Basin; Northeast China.Climate Research,78(1). |
| MLA | Faiz M.A.,et al."Multi-index drought characteristics in Songhua River Basin; Northeast China".Climate Research 78.1(2019). |
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