Hydrometeorology and ecology最新文献_第2页

AIR QUALITY MONITORING IN THE WEST KAZAKHSTAN REGION: PRINCIPLES, METHODS, APPROACHES 西哈萨克斯坦地区的空气质量监测：原则、方法和途径

Hydrometeorology and ecology Pub Date : 2024-07-24 DOI: 10.54668/2789-6323-2024-113-2-128-149

V. Salnikov, S. Polyakova, А. Ullman, A. Kauazov, M. Tursumbayeva, D. Kisebayev, D. Miskiv, E. Beldeubayev, G. Musralinova, S. Kozhagulov

{"title":"AIR QUALITY MONITORING IN THE WEST KAZAKHSTAN REGION: PRINCIPLES, METHODS, APPROACHES","authors":"V. Salnikov, S. Polyakova, А. Ullman, A. Kauazov, M. Tursumbayeva, D. Kisebayev, D. Miskiv, E. Beldeubayev, G. Musralinova, S. Kozhagulov","doi":"10.54668/2789-6323-2024-113-2-128-149","DOIUrl":"https://doi.org/10.54668/2789-6323-2024-113-2-128-149","url":null,"abstract":"The main approaches and methods of studying the characteristics and conditions of atmospheric pollution on the example of Western Kazakhstan are considered. The classification and grouping of applied approaches by topics, methods, time intervals and other relevant criteria was conducted. An analysis of the available information on the sources and volumes of emissions into the atmosphere, as well as on the systems for monitoring the pollution of the air basin, was carried out. It is shown that to increase the effectiveness of the atmospheric air quality management system, it is expedient to use a complex approach taking into account the influence of meteorological factors and synoptic conditions that determine different levels of pollution. An analytical review of modern methods of modeling the spread of pollutants in atmospheric air showed the feasibility of using statistical methods integrated with deep machine learning and the Eulerian continuum model of turbulent diffusion. The obtained conclusions will allow further use of an integrated approach to improve the atmospheric air quality management system of the studied region.","PeriodicalId":256870,"journal":{"name":"Hydrometeorology and ecology","volume":"49 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141808872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DETERMINATION OF TECHNOLOGICAL OXIDATION ZONES AT URANIUM DEPOSITS IN KAZAKHSTAN USING MACHINE LEARNING METHODS MACHINE LEARNING 利用机器学习方法确定哈萨克斯坦铀矿床的技术氧化区机器学习

Hydrometeorology and ecology Pub Date : 2024-07-24 DOI: 10.54668/2789-6323-2024-113-2-67-80

K. Abramov, Y. Kuchin, E. Mukhamedieva, N. Yunicheva

引用次数: 0

DETERMINING THE SPECIES COMPOSITION OF FOREST VEGETATION IN THE KOSTANAY REGION USING REMOTE SENSING DATA 利用遥感数据确定科斯塔奈地区森林植被的物种组成

Hydrometeorology and ecology Pub Date : 2024-04-19 DOI: 10.54668/2789-6323-2024-112-1-133-143

Zhanar O. Ozgeldinova, Altyn A. Zhanguzhina, Zhandos Mukaev, Meruert Ulykpanova, Zharas Berdenov

{"title":"DETERMINING THE SPECIES COMPOSITION OF FOREST VEGETATION IN THE KOSTANAY REGION USING REMOTE SENSING DATA","authors":"Zhanar O. Ozgeldinova, Altyn A. Zhanguzhina, Zhandos Mukaev, Meruert Ulykpanova, Zharas Berdenov","doi":"10.54668/2789-6323-2024-112-1-133-143","DOIUrl":"https://doi.org/10.54668/2789-6323-2024-112-1-133-143","url":null,"abstract":"During the scientific investigation, woody species of forest vegetation were identified and a map of forest vegetation in the Kostanay region was produced using various data sources: field materials, Earth remote sensing data, and ArcGIS10.9 software. An algorithm was developed to detect tree species based on Landsat 9 satellite imagery, characterized by high spatial resolution. Recognition of dominant tree species was performed using various combinations of spectral bands from Landsat 9 imagery, analysis of vegetation indices (NDVI, EVI) across different seasons, and supervised local adaptive classification. The obtained data were validated against field research materials (August-September 2023) and forest management records. The chosen algorithm implements contemporary approaches to acquiring and processing necessary data from satellite remote sensing imagery. Further differentiation and creation of the forest vegetation map of the Kostanay region were based on the established map of tree species, digital elevation model, geological-geomorphological features, field research, thematic maps, and physical geography of the region. As a result of the conducted research, six classes of forest stands were delineated in the Kostanay region, including light-coniferous and deciduous tree species such as pine, birch, aspen, larch, shrubbery, and meadow vegetation. These research findings and the algorithm developed can be applied to other study areas and hold practical significance.","PeriodicalId":256870,"journal":{"name":"Hydrometeorology and ecology","volume":" 385","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140682442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DYNAMICS OF CLIMATE PARAMETERS IN THE NORTHWEST REGION OF KAZAKHSTAN 哈萨克斯坦西北部地区气候参数的动态变化

Hydrometeorology and ecology Pub Date : 2024-04-19 DOI: 10.54668/2789-6323-2024-112-1-54-64

Alexander Cherednichenko, Vladimir Cherednichenko, Inkar Ashim

引用次数: 0

TYPICATION OF WINTER IN ILE ALATAU BY SNOW CONDITION AND AVALANCHE ACTIVITY 根据雪况和雪崩活动确定伊勒阿拉托冬季的类型

Hydrometeorology and ecology Pub Date : 2024-04-19 DOI: 10.54668/2789-6323-2024-112-1-89-99

Vitaly Zhdanov, Nuraily Kuzhageldina, Kamalbekova Aidana, Aldabergen Ulzhan

{"title":"TYPICATION OF WINTER IN ILE ALATAU BY SNOW CONDITION AND AVALANCHE ACTIVITY","authors":"Vitaly Zhdanov, Nuraily Kuzhageldina, Kamalbekova Aidana, Aldabergen Ulzhan","doi":"10.54668/2789-6323-2024-112-1-89-99","DOIUrl":"https://doi.org/10.54668/2789-6323-2024-112-1-89-99","url":null,"abstract":"Snow avalanches affect human economic and recreational activities in the mountains. In some avalanche-active winters, they cause significant damage and loss of life. As a result of many years of research, it was found that avalanches strongly depend on the meteorological and synoptic conditions of each individual winter. The main indicator of the danger of the current season is the total and maximum volumes of avalanches in a particular river basin. It strongly depends on the height and water content of the snow cover and the amount of precipitation. The correlation coefficients are 0.36...0.66. In some avalanche-prone winters (1965...66, 1986...87, 2016...17) in the river basin. In Kishi Almaty, the total volume of avalanches reaches 300...500 thousand m3, and in non-avalanche-hazardous winters it does not exceed 20...30 thousand m3. During the years of minimal solar and cyclonic activity in the studied avalanche basin, the highest snow cover heights and avalanche activity are observed. This is probably due to the fact that winter cyclones produce precipitation in the foothill areas in cold years. And the increase in snowfall and avalanche activity is more associated with spring warming and the beginning of snow melting. Studying the meteorological conditions of avalanche formation helps assess the potential danger of the current season. This is of practical importance for planning the work of tourist sites and operational rescue services in the mountains.","PeriodicalId":256870,"journal":{"name":"Hydrometeorology and ecology","volume":" 35","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140685285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DEVELOPMENT OF A THERMOMETRIC WELL ON A SITE WITHOUT SNOW AND VEGETATION COVER OF THE MSU METEOROLOGICAL OBSERVATORY 在 MU 气象观测站无积雪和植被覆盖的地点开发测温井

Hydrometeorology and ecology Pub Date : 2024-04-19 DOI: 10.54668/2789-6323-2024-112-1-47-53

A. Koshurnikov, V. Gagarin, Denis Frolov, G. Rzhanitsyn

引用次数: 0

PASSPORT OF THE RIVERS OF KAZAKHSTAN 哈萨克斯坦河流护照

Hydrometeorology and ecology Pub Date : 2024-04-19 DOI: 10.54668/2789-6323-2024-112-1-161-168

S. Alimkulov, A. Myrzakhmetov

{"title":"PASSPORT OF THE RIVERS OF KAZAKHSTAN","authors":"S. Alimkulov, A. Myrzakhmetov","doi":"10.54668/2789-6323-2024-112-1-161-168","DOIUrl":"https://doi.org/10.54668/2789-6323-2024-112-1-161-168","url":null,"abstract":"This article discusses the structure and content of the passport of the rivers of Kazakhstan, which is based on the accounting of the main morphometric and morphological features of natural watercourses and their catchment basins. These features reflect the hydrographic characteristics, the definition of which is part of the task of mapping hydrological processes. Over time, the surface of river catchments undergoes changes due to a number of natural causes and anthropogenic activity, which accordingly changes the values of their morphometric characteristics. In this regard, dynamic characteristics need to be updated when there have been changes in water bodies or their catchments, which, when calculating hydrological characteristics, affect their accuracy. In this paper, the structure of the passport of the rivers of Kazakhstan is considered, which is a reference material, which combines information on rivers and temporary watercourses throughout the territories of Kazakhstan on water basins. In addition, it includes all natural watercourses with a length of more than 10 km and studied rivers with a length of less than 10 km. The certification of rivers is the first step, since the development of the form of passports of water bodies in the Republic of Kazakhstan is being carried out for the first time.","PeriodicalId":256870,"journal":{"name":"Hydrometeorology and ecology","volume":" 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140685757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AIR TEMPERATURE CHANGES IN KYZYLORDA REGION OF KAZAKHSTAN IN THE PERIOD 1961...2020 1961...2020 年期间哈萨克斯坦基兹罗尔达地区气温变化情况

Hydrometeorology and ecology Pub Date : 2024-04-19 DOI: 10.54668/2789-6323-2024-112-1-65-78

Nazerke Abdolla, Ayman Nysanbayeva, Aizharyk Abdirazak

{"title":"AIR TEMPERATURE CHANGES IN KYZYLORDA REGION OF KAZAKHSTAN IN THE PERIOD 1961...2020","authors":"Nazerke Abdolla, Ayman Nysanbayeva, Aizharyk Abdirazak","doi":"10.54668/2789-6323-2024-112-1-65-78","DOIUrl":"https://doi.org/10.54668/2789-6323-2024-112-1-65-78","url":null,"abstract":"The purpose of the article is to analyze the dynamics of air temperature, one of the most obvious indicators of climate change, and to determine the long-term trends of air temperature change in Kyzylorda region. Kyzylorda region is located in the south-west of Kazakhstan, is characterized by arid climate and belongs to the zone of ecological disaster. In this paper, the authors studied the changes in air temperature in the period from 1961 to 2020 based on the nonparametric statistical method of Mann–Kendall. The Mann-Kendall method is used to determine whether there is a monotonic trend in the studied data. The Mann–Kendall test is aimed at increasing the accuracy of the result of time series estimation and allows to determine the presence of a trend. The obtained results are characterized by a significant change in temperature in time series of Kyzylorda region. It is noted that for the selected period, to assess changes in the criterion Sen, the average annual temperature changes increased by 0.02...0.05°C. Seasonal trends showed an increase in average temperatures during the year, and the summer months significantly contributed to the warming observed in Kyzylorda region. The obtained data can serve as a basis for assessing both regional climate change and for assessing the ecological state, as meteorological parameters, namely air temperature is one of the important indicators in the study of atmospheric air pollution in Kyzylorda region.","PeriodicalId":256870,"journal":{"name":"Hydrometeorology and ecology","volume":" 43","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140685767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

FORECASTS OF ANNUAL RUNOFF OF THE ZHAIYK RIVER (URAL) TAKING INTO ACCOUNT AUTOCORRELATION MODELS OF ITS MULTI-YEAR FLUCTUATIONS FOR INDIVIDUAL MONTHS 根据扎伊尔河多年波动的自相关模型，预测扎伊尔河（乌拉尔河）各月的年径流量

Hydrometeorology and ecology Pub Date : 2024-04-19 DOI: 10.54668/2789-6323-2024-112-1-16-25

Alexey Babkin, Vladimir Babkin, Azamat Madibekov, A. Mussakulkyzy, Alexander Cherednichenko

{"title":"FORECASTS OF ANNUAL RUNOFF OF THE ZHAIYK RIVER (URAL) TAKING INTO ACCOUNT AUTOCORRELATION MODELS OF ITS MULTI-YEAR FLUCTUATIONS FOR INDIVIDUAL MONTHS","authors":"Alexey Babkin, Vladimir Babkin, Azamat Madibekov, A. Mussakulkyzy, Alexander Cherednichenko","doi":"10.54668/2789-6323-2024-112-1-16-25","DOIUrl":"https://doi.org/10.54668/2789-6323-2024-112-1-16-25","url":null,"abstract":"The study is devoted to the development and application of autocorrelation and general regression models for long-term forecasting of the Ural (Zhaiyk) River flow based on the analysis of multi-year fluctuations. The Ural River is an important water resource of the Russian Federation and the Republic of Kazakhstan, demonstrating significant variability in annual runoff, which affects various sectors of economic activity. In the course of the study, annual and monthly series of the river flow for the period from 1943 to 2010 were estimated using the autocorrelation method of Y.M. Alekhin. Based on these data, forecasts were made for the period from 2011 to 2015. The results show that autocorrelation models provide more accurate forecasts compared to models based on average values of series. The general regression model integrating monthly and annual data showed the best results, confirming the effectiveness of the combined approach in predicting hydrological characteristics. The scientific significance of the work is to improve the accuracy and reliability of the Ural River flow forecasts, which contributes to more effective water resources management in this region.","PeriodicalId":256870,"journal":{"name":"Hydrometeorology and ecology","volume":" 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140683053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

GEOECOLOGICAL ASSESSMENT OF SURFACE WATER QUALITY IN THE RECREATIONAL ZONE OF LAKE ALAKOL 阿拉科尔湖休闲区地表水质量的地质生态评估

Hydrometeorology and ecology Pub Date : 2024-04-19 DOI: 10.54668/2789-6323-2024-112-1-110-120

Zhandos Mukaev, Zhanar O. Ozgeldinova, Altyn A. Zhanguzhina, Meruert Ulykpanova

引用次数: 0