Geographic information systems (GIS) tools in complementarity research—estimation and visualization

Canales, Fausto A.; Payares-Fontalvo, Manuel; Florez-Guerra, Huber; Acuña, Guillermo J.

doi:10.1016/b978-0-323-85527-3.00002-9

Cited by 3 publications

(4 citation statements)

References 34 publications

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“…The contamination factor (CF) of dust is invaluable for distinguishing between the amount of dust pollution generated by humans and that from discrete point sources [18]. Metal content is divided by the value of the background to get a concentration factor (CF) [18]. CF = 1 extremely low, CF = 3 moderate, CF = 6 substantial, and CF = 6 very high.…”

Section: Contamination Factorsmentioning

confidence: 99%

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Bivariate Map of Zinc Pollutant (Zn) in Sea Al-Najaf, via Geographic Information System

Jasim,

Walli

2023

IOP Conf. Ser.: Earth Environ. Sci.

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A case study of 60 samples of sediment in the Sea Najaf. With the analysis of three different types of pollution indices (pollution factor, geographic accumulation index, and enrichment factor), The results of the analysis showed a significant difference in the presence of zinc in the different study areas. The high level of zinc was (270) μg/g, and the low was (99) μg/g. This indicates that the soil was contaminated, Analysis of contamination indicators in different areas to find out what zinc could be in the sediment and where it came from, The study revealed that metal concentrations were frequently greater along the lake’s edge. The sediments are the source of the zinc pollution; several contamination indicators were over the limit on the beaches but slightly below the maximum in the lake. The hot spot of ArcGIS Pro This application performs data queries to determine which parameters for hot spot analysis provide the greatest performance statistics and then generates a map with event points or weighted features indicating statistically significant hot and cold places. The results show the distribution of zinc on a map. It can be found in high concentrations in nearby farms.

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Section: Contamination Factorsmentioning

confidence: 99%

“…According to all interpolation methods, local points have a larger number of correlations and similarities than distant points. When determining the accuracy of the inverse distance interpolator, the power is the most crucial factor to consider [18].…”

Section: Inverse Distance Weighting (Idw)mentioning

confidence: 99%

Bivariate Map of Zinc Pollutant (Zn) in Sea Al-Najaf, via Geographic Information System

Jasim,

Walli

2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

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“…All interpolation methods concur that local points have a greater number of correlations and similarities than distant points. When figuring out how accurate the inverse distance interpolator is, the power is the most important thing to think about [23].…”

Section: Inverse Distance Weighting (Idw)mentioning

confidence: 99%

Analysis of Hotspots and Inverse Distance Weighting (IDW) of Polluted Habitats using ArcGIS Pro.: A Case Study in the Sea of Najaf and Surrounding Terrestrial Area

Jasim,

Walli

2023

IOP Conf. Ser.: Earth Environ. Sci.

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The Sea of Najaf, which is a natural groundwater. 60 samples were studied to locate the amount of 4 heavy metals (Cr, Mn, Co, and Cd) in each sample. With the analysis of three different types of pollution indicators (pollution factor, geographic accumulation index, and enrichment factor), the first heavy metal for which a significant difference can be seen is chromium. The high level of chromium was (101) μg/g, and the low was (50. 9) μg/g. This indicates that the soil was contaminated. Manganese is the second heavy metal with low to moderate contamination. It can be found in soil samples with a maximum concentration of (1022) μg/g and a minimum concentration of (254) μg/g. For cobalt and cadmium levels, the measured amounts do not differ much from the normal limit. This means that the water is not contaminated with them. Contamination indicators are placed in different areas to see what minerals could be in the sediments and where they came from. The results of the study showed that mineral levels were often higher near the edge of the lake than they were further afield. You can find the source of the mineral contamination in the sediments, some of the pollution markers were above the maximum on the beaches but were just below the maximum on the lake. The inverse distance weighted (IDW) in ArcGIS Pro approach is one of the most frequently employed interpolation techniques. It is used to estimate the value of a site that has not yet been assessed by comparing it to the values of nearby sites, the hot spot in ArcGIS Pro This program uses data queries to figure out which parameters for hot spot analysis give the best performance statistics may generate a map with event points or weighted features that show statistically significant hot and cold areas, the results show the distribution of minerals as a map Chromium and manganese are found in nearby farms in high concentrations, A pH test revealed between (7.9) to (10.5), The EC measurement showed between (2.3-4.3) ds/m for water, while the soil ranged between (6.3 – 10.1) ds/m, This indicates that the water and soil are salty. The turbidity ranged between( 13.1 - 8.5) NTU.

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“…This technique relies on mathematical algorithms to predict the spatial distribution of parameters. It does this by considering local variations and the relationships between sampling points [Canales et al, 2022].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Interpolation of Water Quality Index and Nitrates using ArcGIS Pro for Surface Water Quality Modeling in the Oum Er-Rabia Watershed

Ouhakki,

El Fallah,

El Mejdoub

2024

Ecol. Eng. Environ. Technol.

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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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Geographic information systems (GIS) tools in complementarity research—estimation and visualization

Cited by 3 publications

References 34 publications

Bivariate Map of Zinc Pollutant (Zn) in Sea Al-Najaf, via Geographic Information System

Bivariate Map of Zinc Pollutant (Zn) in Sea Al-Najaf, via Geographic Information System

Analysis of Hotspots and Inverse Distance Weighting (IDW) of Polluted Habitats using ArcGIS Pro.: A Case Study in the Sea of Najaf and Surrounding Terrestrial Area

Spatiotemporal Interpolation of Water Quality Index and Nitrates using ArcGIS Pro for Surface Water Quality Modeling in the Oum Er-Rabia Watershed

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