Spatiotemporal lakes surface area changes over 35 years and potential causes in the Central Rift Valley, Ethiopia

被引:1
|
作者
Tola, Tolossa Lemma [1 ,2 ,3 ,4 ,6 ]
Zhang, Ke [1 ,2 ,3 ,4 ,5 ]
Chukalla, Abebe D. [7 ]
Liu, Linxin [1 ,2 ,3 ,5 ]
Ezaz, Gazi Tawfiq [2 ]
Elsadek, Elsayed Ahmed [2 ,8 ]
Abdallah, Mohammed [1 ]
机构
[1] Hohai Univ, Natl Key Lab Water Disaster Prevent, Nanjing 210024, Jiangsu, Peoples R China
[2] Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210024, Jiangsu, Peoples R China
[3] Hohai Univ, China Meteorol Adm, Hydrometeorol Key Lab, Nanjing 210024, Jiangsu, Peoples R China
[4] Hohai Univ, Key Lab Water Big Data Technol, Minist Water Resources, Nanjing 210024, Jiangsu, Peoples R China
[5] Hohai Univ, Yangtze Inst Conservat & Dev, Nanjing 210024, Jiangsu, Peoples R China
[6] Salale Univ, Dept Hydraul & Water Resource Engn, Fiche 245, Ethiopia
[7] IHE Delft Inst Water Educ, Land & Water Management Dept, Delft, Netherlands
[8] Damietta Univ, Coll Agr, Agr & Biosyst Engn Dept, Dumyat 34517, Egypt
基金
中国国家自然科学基金;
关键词
Lake surface area; Water extraction Indices; Landsat image; Central Rift Valley Lakes; Lake Abiyata; Driving factors; WATER INDEX NDWI; LANDSAT; EVAPORATION; EXTRACTION; ZIWAY; LEVEL;
D O I
10.1016/j.ejrh.2024.101863
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Study Region: Central Rift Valley (CRV) region, Ethiopia. Study Focus: The study aims to investigate the spatiotemporal change in lake water surface extents over 35 years (1986-2020) and identify potential causes. Three alternative multispectral water indices-Normalized Difference Water Index (NDWI), Automatic Water Extraction Index (AWEI), and Modified Normalized Difference Water Index (MNDWI)-derived from Landsat sensors (TM, ETM+, OLI) were utilized to extract and analyze the lake surface area. The Mann-Kendall correlation was applied to examine whether hydro-meteorological and anthropogenic variables are possible causes for changes. New Hydrological Insights for the Region: MNDWI outperforms other indices with over 96 % accuracy in mapping lake surface area. Lake Abiyata experienced the most significant reduction in surface area from 1986 to 2020 (>50 %), followed by Lake Ziway (<2 %) while Lake Langano remained relatively stable. This significant reduction positively correlates to alterations in lake water depth (R-2=0.92). Factors such as increased temperature, evaporation, and water abstraction for soda ash production negatively correlated with lake surface area, while inflow from Bulbula River and mean annual rainfall showed positive correlations. Abiyata Lake's decrease in surface area is primarily attributed to water abstraction for soda-ash manufacturing and incoming river flow. If the current trends in water abstraction from the Lake and income water diversion continue, there is a high possibility that Lake Abiyata will change into a terminal lake shortly.
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收藏
页数:24
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