基于卫星数据和地下水分析相结合的地震对河流水质的影响

K. Jafarpour , K. Leangkim , Aznah N. Anuar , Ali M. Yuzir , Faizah C. Ros , Nur F. Said , Jun Asanuma
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引用次数: 0

摘要

地震对河流水质的影响是巨大的,环境系统的快速下降通常会导致生活和环境质量的改变。2015 年,马来西亚沙巴州拉瑙地区发生了 6.0 级地震,影响了利瓦古河的水质。地震卫星数据与当地水质数据收集相结合,可以准确评估水质参数。因此,沙巴州水务局提供了里瓦古河班班干和基莫洛兴的二级水质数据。随后,浊度、颜色、pH 值、电导率 (EC)、溶解固体总量 (TDS)、溶解氧 (DO)、硝酸盐 (NO3-)、铁 (Fe)、锰 (Mn)、铝 (Al)、碱度、硬度、氯化物 (Cl-) 和硫酸盐 (SO42-) 被选中。调查发现,2015 年 6 月 17 日,水的浑浊度和颜色异常高,铝、铁和锰的含量也有所升高。同一天,溶解氧浓度骤降至 3.8 毫克/升。采用 Kruskal-Wallis 检验法进行的统计分析确定了两个站点的重要参数--铁(0.001)和锰(0.001),基莫洛兴的浊度(0.001)和颜色(0.003),以及班班岩的铝含量(0.027)。水质的恢复需要两周到两个月的时间,而铁和锰的恢复则需要六个月以上的时间。地震并不是唯一的影响因素,但它改变了河流的污染源。讨论强调了通过整合地面和卫星数据实现的时空动态综合。这种方法不仅完善了回顾性分析,还推动我们进行预测建模,加强对未来地震事件的防备。这项研究的整体环境影响评估不仅涉及水质,还揭示了对生态系统、土壤和植被的连带影响。可持续资源利用的知情决策是一项关键成果,它强调了地震活动、降雨模式和水质之间的相互联系。这项研究为未来的环境评估提供了一个蓝图,强调通过多方面的方法来了解和减轻地震事件对水资源的复杂影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of earthquake on river water quality based on combination of satellite data and groundwater analysis

The impact of an earthquake on river water quality is massive, and the quality of life and environment typically changes as a result of a quick drop in the environment system. A 6.0 magnitude earthquake struck the Ranau area of Sabah, Malaysia, in 2015, affecting the Liwagu River’s water quality. Satellite data on earthquakes, coupled with local water quality data collecting, allows for an accurate assessment of water quality parameters. As a result, the Sabah Water Department provided secondary water quality data from Bambangan and Kimolohing on the Liwagu River. Following that, turbidity, color, pH, electric conductivity (EC), total dissolved solids (TDS), dissolved oxygen (DO), nitrate (NO3), iron (Fe), manganese (Mn), aluminum (Al), alkalinity, hardness, chloride (Cl-), and sulfate (SO42−) were chosen. The investigation discovered unusually high turbidity and color in the water on June 17, 2015, as well as elevated levels of Al, Fe, and Mn. DO concentrations plummeted to 3.8 mg/L on the same day. Statistical analyses, employing the Kruskal-Wallis test, identified significant parameters—Fe (0.001) and Mn (0.001) at both stations, turbidity (0.001), and color (0.003) in Kimolohing, and Al (0.027) in Bambangan. Recovery in water quality took two weeks to two months, with iron and manganese requiring over six months for restoration. The earthquake didn’t solely dominate the impact but altered pollution sources to the river. The discussion highlights the synthesis of spatial and temporal dynamics enabled by the integration of ground and satellite data. This approach not only refines retrospective analyses but also propels us into predictive modeling, enhancing preparedness for future seismic events. The study’s holistic environmental impact assessment extends beyond water quality, unraveling cascading effects on ecosystems, soil, and vegetation. Informed decision-making for sustainable resource utilization emerges as a pivotal outcome, emphasizing the interconnectedness of seismic activity, rainfall patterns, and water quality. The study serves as a blueprint for future environmental assessments, emphasizing multifaceted approaches to understand and mitigate the complex impacts of seismic events on water resources.

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