黄河旱涝变化特征及应对过程
Characteristics of Drought and Wetness in the Yellow River and Its Countermeasures
靖娟 1赵鑫 1梅瑞萱 2尚文绣1
作者信息
- 1. 黄河勘测规划设计研究院有限公司,河南 郑州 450003
- 2. 中国人民大学 农业与农村发展学院,北京 100089
- 折叠
摘要
为了科学识别黄河旱涝变化特征及应对能力,提出连续丰水年和连续枯水年的判定方法,采用标准化径流指数(SRI)和标准化旱涝急转指数(SDWAI)识别 1956-2020 年黄河利津站径流旱涝变化特征,分析水库调度在应对旱涝急转和连续枯水年中发挥的作用.结果显示:在月尺度,利津站SRI评估结果以正常至中旱为主,旱涝急转事件较少,且集中于汛期与非汛期的过渡时段;在年尺度,超过 60%的年份被评估为正常或轻旱,且SRI对旱涝的评估结果与采用距平值的丰枯评估结果的一致性较好;在多年尺度,利津站发生了 3 次连续丰水年和 2 次连续枯水年,连续枯水年持续时间较长.随着水库调蓄能力的增强,已经能够较好地应对黄河旱涝急转事件,但对连续枯水年的应对能力不足.
Abstract
In order to scientifically identify the characteristics of drought and wetness in the Yellow River and the coping capacity,this paper put forward a judgment method of continuous wet years and continuous dry years,used the Standardized Runoff Index(SRI)and the Stand-ardized Drought-Wetness Abrupt Alteration Index(SDWAI)to identify the characteristics of runoff changes at Lijin Station of the Yellow Riv-er from 1956 to 2020,and analyzed the role of reservoir operation in coping with the drought-wetness abrupt alteration events and continuous dry years.The results show that on a monthly scale,the SRI assessment results of Lijin Station are mainly normal to moderate drought,with only a few drought-wetness abrupt alteration events which mainly happen during the transition period between flood season and non-flood sea-son.On an annual scale,more than 60%of the years are assessed as normal or light drought,and the SRI assessment results are consistent with the assessment results using anomaly value.On a multi-year scale,there are 3 continuous wet years and 2 continuous dry years at Lijin Station,and the continuous dry years last for a long time.With the enhancement of reservoir regulation and storage capacity,drought-wetness abrupt alteration events are handled well,but the capacity to cope with continuous dry years is insufficient.
关键词
旱涝急转/连续丰水年/连续枯水年/判定方法/水库调度/黄河Key words
drought-wetness abrupt alteration/continuous wet years/continuous dry years/judgment method/reservoir operation/Yellow River引用本文复制引用
基金项目
国家重点研发计划项目(2022YFC3202300)
河南省重大科技专项(201300311400)
出版年
2024
国家科技期刊平台
NSTL
万方数据