Spatiotemporal dynamic impacts of Lake Victoria water volume variations on sustainable economic development

• DOI: 10.1016/j.jag.2023.103475
• Publication Date: 2023-09-09T07:33:58Z
• Authors: Jie Yu; Yu Rong; Yi Lin; Xin Li; Chen Gao; Tinghui Zhang; Xuefei Zhou; Jianqing Cai; Nico Sneeuw
• Keywords: Environmental sciences; Physical geography; Water volume variations; Sustainable economic development; 0207 environmental engineering; Nighttime light remote sensing; Long-term estimation; GE1-350; 02 engineering and technology; Multi-source satellite data; GB3-5030

Spatiotemporal changes in lake water resources critically affect the livelihoods and sustainable development of local social economy. Understanding evolution resource its influence on economic is important for achieving goals. Taking Africa's largest lake, Lake Victoria, as study area, a framework was developed to investigate long-term (2000–2019) volume variations their development. First, an estimation model constructed based optimized joint process multi-mission altimetry data surface area calculations multispectral images. Furthermore, nighttime light remote sensing data, three factors (namely level, growth, inequality) were calculated applied quantify sustainability Finally, mechanism explored using Pearson correlation coefficient grey-value relationship analysis. The results reveal significant interannual seasonal Victoria. Spatially, western part Victoria experienced more frequent than east. From perspectives, spatiotemporal strongly affected whereas growth influenced least. Additionally, different effects observed surrounding countries. had greatest impact Uganda's from all with lagged years agricultural production. This provides valuable insights into dynamic development, offering viable alternative mass field surveys, especially relevant developing underdeveloped regions.