Scholarlink

Climate change in the Mediterranean region may greatly impact water resources and requires modeling to assess future evolutions. To do so, the current and past situation including rainfall fluctuations and drought episodes must be defined. The Seybouse Maritime basin is in northeastern Algeria, covering an area of over 1000 km2. In addition to groundwater, other major sources of surface water are supplied in large quantities by the Oued Seybouse, which originates further upstream and empties into the Mediterranean Sea. The aim of this work is to calculate and map drought indices for the Seybouse basin. Several precipitation-based drought indices have been proposed in the literature. Standardized precipitation index (SPI), index as a percentage of normal (PNI), and deciles index (DI) are chosen as drought indices in this work. To calculate them, we used average monthly precipitation data from seven rainfall stations (AinBerda (1970–2021), Les Salines (1978–2007), Bouchegouf (1971–2011), Kef Mourad (1971–1997), Boukemouza (1986–2007), Nechmaya (1986–2006), Pont Bouché (1977–2008)), as well as average monthly precipitation data from a representative station in the basin (climateengine.com website (1958–2022)). Given the gaps observed in the precipitation series, we also used data from sites such as the National Environmental Information Centers. Indices maps are drawn using GIS tools. The annual variation in the various indices shows that the DI index falssin to moderate to extremely dry class in 9% of cases. The SPI index is in the moderately dry to extremely dry class for 20% of cases at stations in the South, in the moderate to severe dry class in 13% of cases at stations in the North. The PNI index indicates a moderate to extreme drought class for 13% of cases at stations in the northern part of the basin, and 20% at stations in the southern part. From a regional point of view, the maps show an argumentation of the drought indices in the southern direction. The calculation of drought indices based on long precipitation series is more efficient for monitoring drought and forecasting and analyzing drought impacts.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Calculation and Mapping of Some Drought Indices of the Seybouse Maritime Basin (Northeastern Algeria)

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Ammar Maoui,
  • Yann Lucas,
  • Joëlle Duplay,
  • Cagri Alperen Inan

摘要

Climate change in the Mediterranean region may greatly impact water resources and requires modeling to assess future evolutions. To do so, the current and past situation including rainfall fluctuations and drought episodes must be defined. The Seybouse Maritime basin is in northeastern Algeria, covering an area of over 1000 km2. In addition to groundwater, other major sources of surface water are supplied in large quantities by the Oued Seybouse, which originates further upstream and empties into the Mediterranean Sea. The aim of this work is to calculate and map drought indices for the Seybouse basin. Several precipitation-based drought indices have been proposed in the literature. Standardized precipitation index (SPI), index as a percentage of normal (PNI), and deciles index (DI) are chosen as drought indices in this work. To calculate them, we used average monthly precipitation data from seven rainfall stations (AinBerda (1970–2021), Les Salines (1978–2007), Bouchegouf (1971–2011), Kef Mourad (1971–1997), Boukemouza (1986–2007), Nechmaya (1986–2006), Pont Bouché (1977–2008)), as well as average monthly precipitation data from a representative station in the basin (climateengine.com website (1958–2022)). Given the gaps observed in the precipitation series, we also used data from sites such as the National Environmental Information Centers. Indices maps are drawn using GIS tools. The annual variation in the various indices shows that the DI index falssin to moderate to extremely dry class in 9% of cases. The SPI index is in the moderately dry to extremely dry class for 20% of cases at stations in the South, in the moderate to severe dry class in 13% of cases at stations in the North. The PNI index indicates a moderate to extreme drought class for 13% of cases at stations in the northern part of the basin, and 20% at stations in the southern part. From a regional point of view, the maps show an argumentation of the drought indices in the southern direction. The calculation of drought indices based on long precipitation series is more efficient for monitoring drought and forecasting and analyzing drought impacts.