Scrivner Eva, Mladenov Natalie, Biggs Trent, Grant Alexandra, Piazza Elise, Garcia Stephany, Lee Christine M, Ade Christiana, Tufillaro Nick, Grötsch Philipp, Zurita Omar, Holt Benjamin, Sousa Daniel
Department of Geography, San Diego State University, San Diego, CA, USA.
Department of Civil, Construction, and Environmental Engineering, San Diego State University, San Diego, CA, USA.
Sci Total Environ. 2025 Jun 15;981:179598. doi: 10.1016/j.scitotenv.2025.179598. Epub 2025 May 8.
Hundreds of millions of liters of untreated wastewater are discharged into the Tijuana River annually, impacting communities on both sides of the US-Mexico border. Current monitoring methods are resource-intensive and limited in coverage. Optical satellite imaging may enable broader spatiotemporal monitoring, yet retrievals of bacterial concentrations and other key water quality indicators remain challenging. Here we investigate the utility of spectroscopic sensors to monitor the presence of wastewater in this estuarine-coastal system, as a proxy for bacterial concentrations and other water quality parameters. We prepared dilutions of untreated wastewater and uncontaminated seawater, measuring visible through shortwave infrared (VSWIR; 350-2500 nm) reflectance spectra of each sample. At high wastewater concentrations, a distinct spectral feature centered near 620 nm strongly correlated with paired water quality measurements (R ≥ 0.97, p-value < 0.01). This feature is additionally observed in multispectral resolution, in field observations, and in hyperspectral satellite imagery. An example application of plume mapping with this feature is presented, representing one of the earliest adoptions of EMIT hyperspectral satellite imagery for water quality monitoring. These results are promising for the use of spectroscopic sensors to map and monitor wastewater pollution in the Tijuana River Estuary and potentially, similarly polluted coastal and estuarine systems.
每年有数亿升未经处理的废水排入蒂华纳河,影响着美墨边境两侧的社区。目前的监测方法资源消耗大且覆盖范围有限。光学卫星成像或许能够实现更广泛的时空监测,然而获取细菌浓度及其他关键水质指标仍然具有挑战性。在此,我们研究光谱传感器在这个河口 - 海岸系统中监测废水存在情况的效用,以此作为细菌浓度及其他水质参数的替代指标。我们制备了未经处理的废水和未受污染海水的稀释液,测量了每个样品在可见光到短波红外(VSWIR;350 - 2500纳米)波段的反射光谱。在高废水浓度下,一个以620纳米附近为中心的独特光谱特征与配对的水质测量结果高度相关(R≥0.97,p值<0.01)。在多光谱分辨率下、实地观测中以及高光谱卫星图像中都额外观测到了这一特征。展示了利用这一特征进行羽流绘图的一个示例应用,这代表了最早将EMIT高光谱卫星图像用于水质监测的实例之一。这些结果对于利用光谱传感器绘制和监测蒂华纳河河口以及潜在的类似污染的沿海和河口系统中的废水污染情况很有前景。