基于转化的高分辨率遥感光谱数据的伊朗霍拉姆鲁德河环境研究

IF 3.7 3区 地球科学 Q2 ENVIRONMENTAL SCIENCES Egyptian Journal of Remote Sensing and Space Sciences Pub Date : 2024-04-05 DOI:10.1016/j.ejrs.2024.03.008
Paria Darvishi , Danya Karimi
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引用次数: 0

摘要

对伊朗霍拉姆鲁德河进行了一项调查,以评估人类活动造成的污染程度。从 11 个站点采集了水样,并分析了四个参数:pH 值、温度、溶解氧 (DO) 和硝酸盐 (NO3)。此外,还对大型无脊椎动物的生物多样性进行了评估,以评价水质。共发现七类十一个无脊椎动物科,其中摇蚊科(Chironomidae)和蝙蝠科(Baetidae)是主要的无脊椎动物科,这表明水质严重恶化。作为第一个目标,利用两种多样性指数(香农-维纳指数和辛普森指数)和四种生物指数(ASPT、FBI、EPT 和 BMWP)对大型无脊椎动物进行了水质评估。结果一致表明河流水质较差。这些结果与第二个目标--理化参数分析得出的结论一致,都证实了水质不佳。作为最后一个目标的一部分,为绘制理化参数图,采用了三种方案。它们包括利用转换后的高分辨率 PRISMA 图像、利用 Landsat 9 图像的传统方法以及 Landsat 9 和 PRISMA 图像的融合。第一种方案得出的结果最为准确(溶解氧、三氧化二氮、pH 值和温度的 RMSE 分别为 0.624、0.942、0.167 和 0.98)。生物多样性指数是最后一个目标的另一部分,使用转换后的全景锐化 PRISMA 图像绘制生物多样性指数证明非常可靠。大多数指数与溶解氧之间都存在很强的相关性(辛普森指数、EPT 指数、BMWP 指数和 ASPT 指数的相关性分别为 0.972、-0.496、-0.973 和-0.978),这表明溶解氧对河流的生物状态具有重要影响。
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Environmental studies of the Khorramrood River in Iran, based on transformed high-resolution remotely sensed spectroscopic data

An investigation was conducted on the Khorramrood River in Iran to evaluate pollution levels resulting from human activities. Water samples were collected from eleven stations and analyzed for four parameters: pH, temperature, dissolved oxygen (DO), and nitrate (NO3). Additionally, a biodiversity assessment of macroinvertebrates was conducted to evaluate water quality. Eleven invertebrate families from seven classes were identified, with Chironomidae and Baetidae as the predominant groups, suggesting a significant deterioration in water quality. As the first objective, water quality assessment using macroinvertebrates was done using two diversity indices (Shannon-Wiener and Simpson) and four biotic indices (ASPT, FBI, EPT, and BMWP). The results consistently indicated poor water quality in the river. These findings are consistent with the conclusions drawn from the analysis of physicochemical parameters, which is the second objective, and both confirm inadequate water quality. As a part of the last objective, to map the physicochemical parameters, three scenarios were used. They involved utilizing a transformed high-resolution PRISMA image, a traditional method with Landsat 9 images, and a fusion of Landsat 9 and PRISMA images. The first scenario produced the most accurate results (RMSE = 0.624, 0.942, 0.167, and 0.98 for DO, NO3, pH, and temperature. respectively). Mapping biodiversity indices, another part of the last objective, using the transformed pan-sharpened PRISMA image proved highly reliable. A strong correlation was observed between most indices and the DO (CR = 0.972, −0.496, −0.973, and −0.978 for Simpson, EPT, BMWP, and ASPT, respectively), indicating the significant influence of DO on the river's biological state.

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来源期刊
CiteScore
8.10
自引率
0.00%
发文量
85
审稿时长
48 weeks
期刊介绍: The Egyptian Journal of Remote Sensing and Space Sciences (EJRS) encompasses a comprehensive range of topics within Remote Sensing, Geographic Information Systems (GIS), planetary geology, and space technology development, including theories, applications, and modeling. EJRS aims to disseminate high-quality, peer-reviewed research focusing on the advancement of remote sensing and GIS technologies and their practical applications for effective planning, sustainable development, and environmental resource conservation. The journal particularly welcomes innovative papers with broad scientific appeal.
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