{"id":3820,"date":"2026-06-17T14:16:53","date_gmt":"2026-06-17T09:16:53","guid":{"rendered":"https:\/\/ionos.kz\/2025-2027-study-of-the-urban-heat-island-in-almaty-monitoring-modeling-and-development-of-approaches-to-improve-the-urban-climate\/"},"modified":"2026-06-18T14:46:02","modified_gmt":"2026-06-18T09:46:02","slug":"2025-2027-study-of-the-urban-heat-island-in-almaty-monitoring-modeling-and-development-of-approaches-to-improve-the-urban-climate","status":"publish","type":"post","link":"https:\/\/ionos.kz\/en\/2025-2027-study-of-the-urban-heat-island-in-almaty-monitoring-modeling-and-development-of-approaches-to-improve-the-urban-climate\/","title":{"rendered":"2025-2027 | Study of the urban heat island in Almaty: monitoring, modeling and development of approaches to improve the urban climate"},"content":{"rendered":"\n<ul class=\"wp-block-list\">\n<li><strong>\u0418\u0420\u041d<\/strong> AP26101499<\/li>\n\n\n\n<li><strong>Deadlines:<\/strong> 2025-2027.<\/li>\n\n\n\n<li><strong>PI:<\/strong> Balakay Larissa, PhD<\/li>\n\n\n\n<li><strong>Project goal<\/strong>: The objective of the project is to assess adaptation strategies for improving the urban climate of Almaty based on data analysis from remote sensing, ground meteorological monitoring, and mathematical modeling.<\/li>\n<\/ul>\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>Project Tasks<\/strong><\/summary>\n<p>2025 &#8211; Space monitoring in the thermal range, as well as data collection from ground meteorological monitoring stations in the city of Almaty and its surroundings. GIS analysis of the temperature regime monitoring data of the Almaty urban agglomeration and identification of spatiotemporal zones of extreme temperatures to develop effective microclimate management strategies for the city. <\/p>\n\n\n\n<p>2026 &#8211; Conducting WRF modeling to assess adaptation strategies and measures aimed at reducing the UHI effect in Almaty. Analysis of modeling results to determine the best approaches and measures for reducing the urban heat island.  <\/p>\n\n\n\n<p>2027 &#8211; Modeling microclimate using the Envi-Met model for various scenarios to reduce thermal overheating at the scale of individual neighborhoods. Analysis of microclimate modeling results for the selected neighborhood in Almaty. <\/p>\n<\/details>\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>Expected results<\/strong><\/summary>\n<p>2025 &#8211; Using cloud technologies, the processing of remote sensing data in the thermal range will be carried out in daily and seasonal sections. A meteorological database will be created from meteorological stations and sensors located in the Almaty urban agglomeration. GIS analysis of space and ground meteorological monitoring data will be conducted, identifying the patterns of formation, evolution, and spatiotemporal distribution of the urban heat island across days and seasons. Strategies for managing the city\u2019s microclimate will be developed to mitigate the negative impact of the urban heat island on the population.    <\/p>\n\n\n\n<p>2026 &#8211; Input data will be formed according to the selected strategies, including local climate zones (LCZ), and multiple WRF modeling of the urban heat island will be conducted for various seasons. An analysis of the modeling results will be performed, and zoning of the city will be carried out based on the degree of heating for different UHI reduction approaches.  <\/p>\n\n\n\n<p>2027 &#8211; Multiple calculations will be performed using the Envi-Met model with various scenarios to reduce thermal overheating and achieve thermal comfort, using the results of WRF modeling as initial and boundary conditions. An analysis of the microclimate modeling results for the city will be conducted to determine the most effective scenarios for reducing thermal stress in the selected neighborhood. <\/p>\n<\/details>\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>Results Obtained<\/strong><\/summary>\n<p>In 2025, remote sensing data processing was carried out in the Google Earth Engine environment, where monthly mean land surface temperature maps for 2024 were generated based on VIRS (day and night) and Landsat (daytime) data for both daytime and nighttime conditions. For each month, mean and median statistics were calculated, providing a robust assessment of seasonal and diurnal variability of temperature fields. Ground-based meteorological station data were collected and harmonized into a unified format, including key meteorological parameters such as air temperature, soil temperature, wind speed and direction, precipitation, atmospheric pressure, and other indicators. GIS analysis of remote sensing data was performed in ArcGIS Pro and included various classification, visualization, and spatial analysis techniques. Based on the integrated analysis, preliminary conclusions were formulated regarding the shape, recurrence, and typical spatial distribution of the urban heat island in Almaty. Its configuration features were identified, including differences between daytime and nighttime manifestations, as well as seasonal variability of key thermal anomaly parameters.     <\/p>\n<\/details>\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary><strong>Project Publications<\/strong><\/summary>\n<p>Balakay L.A., Dedova T.V., Abdimanap G.S., Tusseeva N.B. CFD modelling of wind and thermal regimes in urban built-up areas under different scenarios. \u2014 Bulletin of the Almaty University of Energy and Communications, 2026, No. 1(72). \u2014 https:\/\/doi.org\/10.51775\/2790-0886_20265_72_1_265<\/p>\n<\/details>\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[292],"tags":[307],"class_list":["post-3820","post","type-post","status-publish","format-standard","hentry","category-projects","tag-ap26101499-en"],"acf":[],"_links":{"self":[{"href":"https:\/\/ionos.kz\/en\/wp-json\/wp\/v2\/posts\/3820","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ionos.kz\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ionos.kz\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ionos.kz\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ionos.kz\/en\/wp-json\/wp\/v2\/comments?post=3820"}],"version-history":[{"count":1,"href":"https:\/\/ionos.kz\/en\/wp-json\/wp\/v2\/posts\/3820\/revisions"}],"predecessor-version":[{"id":3821,"href":"https:\/\/ionos.kz\/en\/wp-json\/wp\/v2\/posts\/3820\/revisions\/3821"}],"wp:attachment":[{"href":"https:\/\/ionos.kz\/en\/wp-json\/wp\/v2\/media?parent=3820"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ionos.kz\/en\/wp-json\/wp\/v2\/categories?post=3820"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ionos.kz\/en\/wp-json\/wp\/v2\/tags?post=3820"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}