在布基纳法索的城市地区使用机会式传感器对降雨量进行多来源估计
Joseph Ratagskiégré Bonkoungou1, Moumouni Djibo2,3, Ali Doumounia2,4
1Laboratoire de Matériaux et Environnement (LA.M.E.), Université Joseph KI-ZERBO (UJKZ), Ouagadougou, Burkina Faso
概括
机会式传感器,就像移动网络微波链路一样,提供了一种有前途的方法来监测城市降雨情况. 这项在布基纳法索的研究显示,与传统方法有很强的相关性,证实了它们具有更好的水文气象数据的潜力.
科学领域:
- 水文气象学 水文气象学
- 遥感 遥感 遥感 遥感
- 城市气候学 城市气候学
背景情况:
- 城市地区需要精确的降水监测,以有效管理水资源.
- 传统的降雨监测网络在西非城市的覆盖范围往往有限.
- 机会传感器,如商业微波链路 (CML),提供了一个创新的数据源.
研究的目的:
- 评估使用CMLs实时降水估计在瓦加杜古和布科-迪乌拉索,布基纳法索的有效性.
- 评估CML衍生的降雨数据与地面雨量表和卫星数据的测量数据之间的相关性.
- 为了证明多源方法在绘制城市降雨变异性的能力.
主要方法:
- 部署一个实时系统,从Telecel Faso的CML网络收集发送和接收的功率数据.
- 从2022年开始在瓦加杜古和博博-迪乌拉索获取和分析数据.
- 对CML数据与地面雨量表和卫星降水数据进行交叉分析.
主要成果:
- 在CML估计和参考测量之间观察到强烈的相关性 (皮尔森系数高达0.97).
- 成功生成空间降水地图,突出城市降雨变化.
- 证明了多源方法捕捉空间降水模式的能力.
结论:
- 机会式传感器,特别是CML,显示了在西非加强城市降雨监测的巨大潜力.
- CML提供了一个补充和可适应的解决方案,以补充有限的传统降雨数据.
- 多源方法有效地重现了城市环境中的空间降水变化.
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