{"id":2148,"date":"2026-04-21T02:12:16","date_gmt":"2026-04-21T02:12:16","guid":{"rendered":"https:\/\/aijaps.us\/?p=2148"},"modified":"2026-04-21T02:12:16","modified_gmt":"2026-04-21T02:12:16","slug":"geospatial-analysis-of-the-correlation-between-dust-phenomena-frequency-and-surface-wind-speed-using-pearsons-coefficient-and-gis","status":"publish","type":"post","link":"https:\/\/aijaps.us\/?p=2148","title":{"rendered":"Geospatial Analysis of the Correlation Between Dust Phenomena Frequency and Surface Wind Speed Using Pearson’s Coefficient and GIS"},"content":{"rendered":"

Azhaar K. Mishaal <\/strong><\/h3>\n

*<\/sup><\/strong> Ministry of Higher Education & Scientific Research \/ Scientific Research Commission, Baghdad, Iraq.<\/strong><\/h3>\n

azhaaarkadhum83@mohesr.edu.iq<\/strong><\/a><\/h3>\n

009647763648605<\/strong><\/h3>\n

\u00a0
Azhaar K. Mishaal 2<\/a><\/div><\/strong><\/h3>\n","protected":false},"excerpt":{"rendered":"

Azhaar K. Mishaal * Ministry of Higher Education & Scientific Research \/ Scientific Research Commission,…<\/p>\n","protected":false},"author":1,"featured_media":2150,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1,45],"tags":[],"class_list":["post-2148","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","category-45"],"yoast_head":"\nGeospatial Analysis of the Correlation Between Dust Phenomena Frequency and Surface Wind Speed Using Pearson's Coefficient and GIS - aijaps<\/title>\n<meta name=\"description\" content=\"Abstract Dust is considered one of the important weather phenomena due to its direct impact on various aspects of life. Dust refers to the elevation of dust particles above the Earth's surface and their spread, causing a decrease in visibility. The shape and size of the dust particles vary depending on their source, physical and chemical composition, and the speed of the winds carrying them. This study aims to evaluate and analyse the spatial correlation between the frequency of dust phenomena (Dust storms, rising dust, suspended dust) and surface wind speed as a physical variable driving dust particles within the study area, which was Iraq. The research adopted a quantitative analytical approach, and Pearson's Coefficient was used to determine the strength and direction of the statistical relationship between the two variables. The study also employed Geographic Information Systems (GIS) techniques to model the spatial distribution using interpolation (Kriging) to produce digital maps illustrating the geographical areas most affected by dust activity and their relationship to wind speed. The importance of the research lies in providing a useful analytical tool that supports the fields of environmental planning, natural disaster management, and reducing health and economic risks resulting from dust pollution, through a deeper understanding of the spatial relationship between climatic elements. It was found that the relationship between wind speed and dust phenomena in general is direct, but there appeared to be a variation in the nature of this relationship according to the type of dust. The strongest relationship appeared with rising dust, and this explains the physics of dust formation. The Pearson coefficient was (0.8575), and its value with dust storms was (0.6338). The weakest relationship was with the type that stays suspended in the air for a long time, which is suspended dust, where the Pearson coefficient was 0.4133. However, the spatial distribution maps yielded a good index that helps in understanding surface wind behaviour and identifying areas with high wind speeds, which are often characterised by dust activity. These areas were represented by the Al-Hayy, Al-Nasiriyah, and Basra stations. Keywords: Geospatial analysis, Pearson's factor, dust phenomena, wind speed, Geographic Information Systems (GIS).\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/aijaps.us\/?p=2148\" \/>\n<meta property=\"og:locale\" content=\"ar_AR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Geospatial Analysis of the Correlation Between Dust Phenomena Frequency and Surface Wind Speed Using Pearson's Coefficient and GIS - aijaps\" \/>\n<meta property=\"og:description\" content=\"Abstract Dust is considered one of the important weather phenomena due to its direct impact on various aspects of life. Dust refers to the elevation of dust particles above the Earth's surface and their spread, causing a decrease in visibility. The shape and size of the dust particles vary depending on their source, physical and chemical composition, and the speed of the winds carrying them. This study aims to evaluate and analyse the spatial correlation between the frequency of dust phenomena (Dust storms, rising dust, suspended dust) and surface wind speed as a physical variable driving dust particles within the study area, which was Iraq. The research adopted a quantitative analytical approach, and Pearson's Coefficient was used to determine the strength and direction of the statistical relationship between the two variables. The study also employed Geographic Information Systems (GIS) techniques to model the spatial distribution using interpolation (Kriging) to produce digital maps illustrating the geographical areas most affected by dust activity and their relationship to wind speed. The importance of the research lies in providing a useful analytical tool that supports the fields of environmental planning, natural disaster management, and reducing health and economic risks resulting from dust pollution, through a deeper understanding of the spatial relationship between climatic elements. It was found that the relationship between wind speed and dust phenomena in general is direct, but there appeared to be a variation in the nature of this relationship according to the type of dust. The strongest relationship appeared with rising dust, and this explains the physics of dust formation. The Pearson coefficient was (0.8575), and its value with dust storms was (0.6338). The weakest relationship was with the type that stays suspended in the air for a long time, which is suspended dust, where the Pearson coefficient was 0.4133. However, the spatial distribution maps yielded a good index that helps in understanding surface wind behaviour and identifying areas with high wind speeds, which are often characterised by dust activity. These areas were represented by the Al-Hayy, Al-Nasiriyah, and Basra stations. Keywords: Geospatial analysis, Pearson's factor, dust phenomena, wind speed, Geographic Information Systems (GIS).\" \/>\n<meta property=\"og:url\" content=\"https:\/\/aijaps.us\/?p=2148\" \/>\n<meta property=\"og:site_name\" content=\"aijaps\" \/>\n<meta property=\"article:published_time\" content=\"2026-04-21T02:12:16+00:00\" \/>\n<meta property=\"og:image\" content=\"http:\/\/aijaps.us\/wp-content\/uploads\/2026\/04\/3.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"539\" \/>\n\t<meta property=\"og:image:height\" content=\"474\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"aijaps.us\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u0643\u064f\u062a\u0628 \u0628\u0648\u0627\u0633\u0637\u0629\" \/>\n\t<meta name=\"twitter:data1\" content=\"aijaps.us\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u0648\u0642\u062a \u0627\u0644\u0642\u0631\u0627\u0621\u0629 \u0627\u0644\u0645\u064f\u0642\u062f\u0651\u0631\" \/>\n\t<meta name=\"twitter:data2\" content=\"\u062f\u0642\u064a\u0642\u0629 \u0648\u0627\u062d\u062f\u0629\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/aijaps.us\\\/?p=2148#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/aijaps.us\\\/?p=2148\"},\"author\":{\"name\":\"aijaps.us\",\"@id\":\"https:\\\/\\\/aijaps.us\\\/#\\\/schema\\\/person\\\/e0e97926a8d995bc1e65a0f9ac22f991\"},\"headline\":\"Geospatial Analysis of the Correlation Between Dust Phenomena Frequency and Surface Wind Speed Using Pearson’s Coefficient and GIS\",\"datePublished\":\"2026-04-21T02:12:16+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/aijaps.us\\\/?p=2148\"},\"wordCount\":52,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/aijaps.us\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/aijaps.us\\\/?p=2148#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/aijaps.us\\\/wp-content\\\/uploads\\\/2026\\\/04\\\/3.jpg\",\"articleSection\":[\"Uncategorized\",\"\u0627\u0635\u062f\u0627\u0631\u0627\u062a \u0627\u0644\u0628\u062d\u0648\u062b\"],\"inLanguage\":\"ar\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/aijaps.us\\\/?p=2148#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/aijaps.us\\\/?p=2148\",\"url\":\"https:\\\/\\\/aijaps.us\\\/?p=2148\",\"name\":\"Geospatial Analysis of the Correlation Between Dust Phenomena Frequency and Surface Wind Speed Using Pearson's Coefficient and GIS - aijaps\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/aijaps.us\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/aijaps.us\\\/?p=2148#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/aijaps.us\\\/?p=2148#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/aijaps.us\\\/wp-content\\\/uploads\\\/2026\\\/04\\\/3.jpg\",\"datePublished\":\"2026-04-21T02:12:16+00:00\",\"description\":\"Abstract Dust is considered one of the important weather phenomena due to its direct impact on various aspects of life. Dust refers to the elevation of dust particles above the Earth's surface and their spread, causing a decrease in visibility. The shape and size of the dust particles vary depending on their source, physical and chemical composition, and the speed of the winds carrying them. This study aims to evaluate and analyse the spatial correlation between the frequency of dust phenomena (Dust storms, rising dust, suspended dust) and surface wind speed as a physical variable driving dust particles within the study area, which was Iraq. The research adopted a quantitative analytical approach, and Pearson's Coefficient was used to determine the strength and direction of the statistical relationship between the two variables. The study also employed Geographic Information Systems (GIS) techniques to model the spatial distribution using interpolation (Kriging) to produce digital maps illustrating the geographical areas most affected by dust activity and their relationship to wind speed. 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However, the spatial distribution maps yielded a good index that helps in understanding surface wind behaviour and identifying areas with high wind speeds, which are often characterised by dust activity. These areas were represented by the Al-Hayy, Al-Nasiriyah, and Basra stations. 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The importance of the research lies in providing a useful analytical tool that supports the fields of environmental planning, natural disaster management, and reducing health and economic risks resulting from dust pollution, through a deeper understanding of the spatial relationship between climatic elements. It was found that the relationship between wind speed and dust phenomena in general is direct, but there appeared to be a variation in the nature of this relationship according to the type of dust. The strongest relationship appeared with rising dust, and this explains the physics of dust formation. The Pearson coefficient was (0.8575), and its value with dust storms was (0.6338). The weakest relationship was with the type that stays suspended in the air for a long time, which is suspended dust, where the Pearson coefficient was 0.4133. However, the spatial distribution maps yielded a good index that helps in understanding surface wind behaviour and identifying areas with high wind speeds, which are often characterised by dust activity. These areas were represented by the Al-Hayy, Al-Nasiriyah, and Basra stations. 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However, the spatial distribution maps yielded a good index that helps in understanding surface wind behaviour and identifying areas with high wind speeds, which are often characterised by dust activity. These areas were represented by the Al-Hayy, Al-Nasiriyah, and Basra stations. 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