使用 ArcGIS Pro 对乌姆厄尔-拉比亚流域的水质指数和硝酸盐进行时空插值,以建立地表水质模型

Hicham Ouhakki, Kamal El Fallah, Nouredine El Mejdoub
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摘要

本研究旨在通过预测未采样地点的硝酸盐(NO 3)和水质指数(WQI)值,为乌姆-埃尔-拉比亚流域绘制完整的地表水质图。结合使用 NO 3-、IQE 数据和 ArcGIS Pro 软件。在 2021 年和 2022 年的冬季和夏季开展的 12 次活动中,从整个流域的 40 个站点采集了水样。数据库包含 480 份样本中测得的 12 个参数的分析结果。建立水质模型的方法是使用 ArcGIS Pro 进行插值。所有样本的硝酸盐值分布图显示,浓度范围在 0.26 至 38.89 毫克/升之间。这些数值低于摩洛哥饮用水标准建议的允许水平(50 毫克/升)。模拟结果图显示,夏季的 NO 3 - 浓度高于冬季。水质指数模型的结果图显示,乌姆厄尔比亚流域大部分地区的水质优良,大部分地区的水质属于 "良 "和 "优 "类。某些地区的水质较差,尤其是 SS3、SS4、SS5、SS8 和 PS9 站的水质较差。在中部和东部地区,铵浓度过高严重影响了水质,导致严重污染。观测到的氨含量超过摩洛哥饮用水标准,很可能是人类活动造成的。使用 ArcGIS Pro 进行准确的水质预测需要考虑数据质量、历史趋势和时空变化。了解这些局限性可确保负责任和有效地使用工具。研究认为,水污染可能是由于靠近工业和城市地区造成的。这项研究的独特之处在于将 WQI、NO 3 - 和 ArcGIS-Pro 整合到地图中。这种方法使公众能够获取信息,并有助于决策者在所有流域点采取行动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatiotemporal Interpolation of Water Quality Index and Nitrates using ArcGIS Pro for Surface Water Quality Modeling in the Oum Er-Rabia Watershed
This study aims to create complete surface water quality maps for the Oum Er Rabia watershed by predicting nitrate (NO 3) and water quality index (WQI) values at unsampled locations. Utilizing a combination of NO 3-, IQE data, and ArcGIS Pro software. Water samples were collected from 40 stations across the basin during twelve campaigns conducted in the winter and summer of 2021 and 2022. The database contains the analysis results of 12 parameters measured in 480 samples. The method used to model water quality is interpolation with ArcGIS Pro. The distribution map of nitrate values for all samples shows concentrations ranging from 0.26 to 38.89 mg/L. These values are lower than the admissible level recommended by the Moroccan standard for drinking water (50 mg/L). The resulting map of the modeling shows higher NO 3 - concentrations in summur than in winter. The resulting map of the WQI modeling shows that water quality is excellent in most of the Oum Er-Rbia watershed, with the majority of the area falling into the “good” and “excellent” categories. The water quality deterio-rates in certain parts, especially at stations SS3, SS4, SS5, SS8, and PS9, where the water is of poor quality. In the central and eastern parts, the presence of excessively high ammonium concentrations has significantly compromised the water quality, leading to heavy pollution. Exceeding Moroccan drinking water standards, these observed levels likely stem from human activities. Accurate water quality predictions with ArcGIS Pro require considering data quality, historical trends, and spatiotemporal variations. Understanding these limitations ensures responsible and effective tool use. The study concluded that water pollution could be due to proximity to industrial and urban areas. This study’s uniqueness lies in integrating the WQI, NO 3 -, and ArcGIS-Pro into maps. This approach makes information accessible to the public and useful for decision-makers to take action at all watershed points
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