Pub Date : 1900-01-01DOI: 10.54668/2789-6323-2021-100-1-57-69
S. Alimkulov, A.A. Tursunova, A. Saparova
The article examines the modern influence of a complex of factors on the river flow resources within the water basins of the Republic of Kazakhstan, as well as their significance for the future until 2030, taking into account climatic and anthropogenic changes, the modern change in the river flow resources in Kazakhstan. To assess the impact of economic activities on river runoff and changes in climate-related runoff, complex integral methods were used, and appropriate methodologies were developed. Due to the disadvantageous geographical position in the lower reaches of transboundary river basins, the Republic of Kazakhstan is experiencing a number of external and internal threats, which are discussed in the article.
{"title":"RESOURCES OF THE RIVER RUNOFF OF KAZAKHSTAN UNDER THE CONDITIONS OF FUTURE CLIMATIC AND ANTHROPOGENIC CHANGES","authors":"S. Alimkulov, A.A. Tursunova, A. Saparova","doi":"10.54668/2789-6323-2021-100-1-57-69","DOIUrl":"https://doi.org/10.54668/2789-6323-2021-100-1-57-69","url":null,"abstract":"The article examines the modern influence of a complex of factors on the river flow resources within the water basins of the Republic of Kazakhstan, as well as their significance for the future until 2030, taking into account climatic and anthropogenic changes, the modern change in the river flow resources in Kazakhstan. To assess the impact of economic activities on river runoff and changes in climate-related runoff, complex integral methods were used, and appropriate methodologies were developed. Due to the disadvantageous geographical position in the lower reaches of transboundary river basins, the Republic of Kazakhstan is experiencing a number of external and internal threats, which are discussed in the article.","PeriodicalId":256870,"journal":{"name":"Hydrometeorology and ecology","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127631241","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}
Pub Date : 1900-01-01DOI: 10.54668/2789-6323-2021-103-4-38-47
K. K. Duskaev, A. Chigrinets, M.N. Tursyngali, S. Akhmetova, A. Mussina
The article evaluates the transformation of the hydrographic network of urbanized territories using digital maps, on the example of the city of Almaty. Based on the plan-schemes for 1960, 1980, 1917, 1941 and 1981, maps of the city were compiled. To clarify the current state of the modern hydrographic network, the digitized map for 2015 was chosen as the basis. With the help of this, the total length of watercourses and the catchment area, the density of the hydrographic network were calculated, and their dynamics for the specified periods were also estimated. Artificial water bodies that eventually appeared on the territory of the city are described. The inclusion of artificial water bodies in the elements of the hydrographic network and the influence of the anthropogenic factor on natural water bodies are considered. The results of the study can be widely used in organizing measures for the water supply of the territory and minimizing the impact of harmful economic activity on water bodies.
{"title":"TRANSFORMATION OF THE HYDROGRAPHIC NETWORK OF ALMATY DUE TO ANTHROPOGENIC INFLUENCE","authors":"K. K. Duskaev, A. Chigrinets, M.N. Tursyngali, S. Akhmetova, A. Mussina","doi":"10.54668/2789-6323-2021-103-4-38-47","DOIUrl":"https://doi.org/10.54668/2789-6323-2021-103-4-38-47","url":null,"abstract":"The article evaluates the transformation of the hydrographic network of urbanized territories using digital maps, on the example of the city of Almaty. Based on the plan-schemes for 1960, 1980, 1917, 1941 and 1981, maps of the city were compiled. To clarify the current state of the modern hydrographic network, the digitized map for 2015 was chosen as the basis. With the help of this, the total length of watercourses and the catchment area, the density of the hydrographic network were calculated, and their dynamics for the specified periods were also estimated. Artificial water bodies that eventually appeared on the territory of the city are described. The inclusion of artificial water bodies in the elements of the hydrographic network and the influence of the anthropogenic factor on natural water bodies are considered. The results of the study can be widely used in organizing measures for the water supply of the territory and minimizing the impact of harmful economic activity on water bodies.","PeriodicalId":256870,"journal":{"name":"Hydrometeorology and ecology","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127687846","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}
Pub Date : 1900-01-01DOI: 10.54668/2789-6323-2021-100-1-36-41
A. Volchek, D. Petrov
A review of modern tools of global monitoring of soil moisture by means of remote sensing of the Earth’s surface is presented. The characteristic features of the use of orbital radiometers and radars of C, X and L microwave bands for estimating the volumetric soil moisture at a depth of 5 cm and the root layer of vegetation are considered. A review of the capabilities of satellite gravimetry to assess the land water equivalent thickness is made. A number of sources have been proposed for obtaining estimates of soil water content from satellite based radiometric devices and orbital gravimetric systems. Based on the analysis of scientific research papers, the complexity of monitoring the level of fire danger indices in forests is shown, and the prospects of assessing soil moisture in agricultural regions using microwave orbital instruments are demonstrated, and the adequacy of calculating the moisture content in soil at a depth of up to one meter using satellite gravimetry is described.
{"title":"SOURCES OF GLOBAL SCALE SOIL MOISTURE MONITORING DATA BY SATELLITE BASED REMOTE SENSING OF EARTH’S SURFACE","authors":"A. Volchek, D. Petrov","doi":"10.54668/2789-6323-2021-100-1-36-41","DOIUrl":"https://doi.org/10.54668/2789-6323-2021-100-1-36-41","url":null,"abstract":"A review of modern tools of global monitoring of soil moisture by means of remote sensing of the Earth’s surface is presented. The characteristic features of the use of orbital radiometers and radars of C, X and L microwave bands for estimating the volumetric soil moisture at a depth of 5 cm and the root layer of vegetation are considered. A review of the capabilities of satellite gravimetry to assess the land water equivalent thickness is made. A number of sources have been proposed for obtaining estimates of soil water content from satellite based radiometric devices and orbital gravimetric systems. Based on the analysis of scientific research papers, the complexity of monitoring the level of fire danger indices in forests is shown, and the prospects of assessing soil moisture in agricultural regions using microwave orbital instruments are demonstrated, and the adequacy of calculating the moisture content in soil at a depth of up to one meter using satellite gravimetry is described.","PeriodicalId":256870,"journal":{"name":"Hydrometeorology and ecology","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133882495","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}
Pub Date : 1900-01-01DOI: 10.54668/2789-6323-2021-101-2-80-87
A. Terekhov, N. Ivkina, N. Abayev, A. Galayeva, A. Yeltay
The Snow Depth FEWS NET daily product was used to analyze snowy regime of the upper part of the River Emba basin from January 1 to April 30 for the period of 2001...2020. The Emba River basin is situated in Kazakhstan at the Eastern coast of the Caspian Sea. The area is characterized by the arid and extreme continental climate with dry-steppe and semi-desert landscapes. The population is small and the anthropogenic impact on the snow cover is minimal there. These conditions give an opportunity to identify the natural tendency in long-term changes of snow covering in semidesert zone of Kazakhstan. This paper describes the characteristics of the formation and destruction of the snow cover in the last 20 years. It was indicated that snowy regime has a trigger structure including two states; low-snowy regime and others years. It was shown that the snowy conditions are triggered. There are two modes, the first, as a low-snowy regime (up to 50 % of the entire sample) and the second mode includes other years. Significant variations of snow depth in various years masked many years’ tendencies of snow cover characteristics. But low-snowy regime was observed four times during five last years that can relate with modern decreasing snow covering in semi-desert zone of Kazakhstan.
{"title":"FEATURES OF SNOW COVER OF SEMI-DESERTS AND DRY STEPPES OF THE CASPIAN SEA ACCORDING TO SATELLITE DATA FOR THE PERIOD 2001...2020","authors":"A. Terekhov, N. Ivkina, N. Abayev, A. Galayeva, A. Yeltay","doi":"10.54668/2789-6323-2021-101-2-80-87","DOIUrl":"https://doi.org/10.54668/2789-6323-2021-101-2-80-87","url":null,"abstract":"The Snow Depth FEWS NET daily product was used to analyze snowy regime of the upper part of the River Emba basin from January 1 to April 30 for the period of 2001...2020. The Emba River basin is situated in Kazakhstan at the Eastern coast of the Caspian Sea. The area is characterized by the arid and extreme continental climate with dry-steppe and semi-desert landscapes. The population is small and the anthropogenic impact on the snow cover is minimal there. These conditions give an opportunity to identify the natural tendency in long-term changes of snow covering in semidesert zone of Kazakhstan. This paper describes the characteristics of the formation and destruction of the snow cover in the last 20 years. It was indicated that snowy regime has a trigger structure including two states; low-snowy regime and others years. It was shown that the snowy conditions are triggered. There are two modes, the first, as a low-snowy regime (up to 50 % of the entire sample) and the second mode includes other years. Significant variations of snow depth in various years masked many years’ tendencies of snow cover characteristics. But low-snowy regime was observed four times during five last years that can relate with modern decreasing snow covering in semi-desert zone of Kazakhstan.","PeriodicalId":256870,"journal":{"name":"Hydrometeorology and ecology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117028899","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}
Pub Date : 1900-01-01DOI: 10.54668/2789-6323-2021-102-3-27-35
N. Abayev, L.M. Birimbayeva, T. Tillakarim, N.T. Serikbay
The research presents the results of forecasting the volume of flood flow of the Yesil River by pattern recognition method for 1th february and 1th march 1. The calculations used daily data of water consumption, the volumes at the hydrological post of the river Yesil gauge station Turgen, also as predictors of minimum air temperature, precipitation, decadal data on water reserves in the snow cover for the long-term period 1980...2020. The results showed a satisfactory quality of the forecast in terms of efficiency and correlation. Statistical analysis showed a good correlation between the observed and predicted values: 0.76 according to the forecast for February 1 and 0.80 on March 1. The result of the research, it revealed that the prediction using the image recognition method based on the data for March 1 showed more accurate results in terms of quality.
{"title":"FORECASTING THE VOLUME OF FLOOD RUNOFF OF THE YESIL RIVER USING THE PATTERN","authors":"N. Abayev, L.M. Birimbayeva, T. Tillakarim, N.T. Serikbay","doi":"10.54668/2789-6323-2021-102-3-27-35","DOIUrl":"https://doi.org/10.54668/2789-6323-2021-102-3-27-35","url":null,"abstract":"The research presents the results of forecasting the volume of flood flow of the Yesil River by pattern recognition method for 1th february and 1th march 1. The calculations used daily data of water consumption, the volumes at the hydrological post of the river Yesil gauge station Turgen, also as predictors of minimum air temperature, precipitation, decadal data on water reserves in the snow cover for the long-term period 1980...2020. The results showed a satisfactory quality of the forecast in terms of efficiency and correlation. Statistical analysis showed a good correlation between the observed and predicted values: 0.76 according to the forecast for February 1 and 0.80 on March 1. The result of the research, it revealed that the prediction using the image recognition method based on the data for March 1 showed more accurate results in terms of quality.","PeriodicalId":256870,"journal":{"name":"Hydrometeorology and ecology","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123816239","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}
Pub Date : 1900-01-01DOI: 10.54668/2789-6323-2021-102-3-36-43
Zhanar O. Ozgeldinova, E.B. Usalinov, А.А. Zhanguzhina, N. Ramazanova, Zh. Yerzhanova, Zh.Т. Mukaev
The article presents the results of identifying the system-forming factors of geosystems and their hierarchy in the Pavlodar region on the basis of the component analysis model, which allow us to obtain data on the structure of the relationships of parameters for the formation of information about the current state and forecast of the dynamics of geosystems in the development of the optimal structure of nature management. Separate quantitative indicators of geosystems obtained on the basis of cartographic materials, using the spatial interpolation method, are considered, and numerical values of the following parameters are used as initial data: duration of sunshine, radiation balance, average annual precipitation, average annual river runoff, maximum river runoff, coefficient of variation or variability of annual runoff, turbidity, average slope, average slope exposure, average NDVI value, etc.. In the calculation of the value matrix in geosystems, the "FACTOR" software is used to build components (programmer T. F. Savina on algorithms of L. M. Pavlichenko). Based on the analysis of scientific papers, the possibility of component analysis to combine statistical modeling and system analysis of specific objects (geosystems) is shown. The use of system analysis in the construction of component analysis is demonstrated, which allows you to identify the functions of the geosystem and rank them by their contribution to the total variance of the system, taking into account the nature of the relationship and self-organization of the system.
本文介绍了基于成分分析模型对巴甫洛达尔地区地质系统的系统形成因素及其层次进行识别的结果，这些结果使我们能够获得参数关系结构的数据，从而形成地质系统动态的现状和预测信息，从而制定最优的自然管理结构。考虑利用空间插值方法在制图资料基础上获得的地质系统的单独定量指标，以日照时数、辐射平衡、年平均降水量、年平均河川径流量、最大河川径流量、年径流量变异或变率系数、浊度、平均坡度、平均坡面暴露、平均NDVI值等参数的数值作为初始数据。在计算地球系统的值矩阵时，使用“FACTOR”软件来构建组件(程序员t.f. Savina基于L. M. Pavlichenko的算法)。通过对科学论文的分析，指出了成分分析将统计建模与具体对象(地质系统)的系统分析相结合的可能性。在构件分析的构建中使用系统分析进行了演示，它允许您识别地质系统的功能，并根据它们对系统总方差的贡献对它们进行排序，考虑到系统的关系和自组织的性质。
{"title":"COMPONENT ANALYSIS SYSTEM-FORMING FACTORS OF GEOSYSTEMS OF PAVLODAR REGION","authors":"Zhanar O. Ozgeldinova, E.B. Usalinov, А.А. Zhanguzhina, N. Ramazanova, Zh. Yerzhanova, Zh.Т. Mukaev","doi":"10.54668/2789-6323-2021-102-3-36-43","DOIUrl":"https://doi.org/10.54668/2789-6323-2021-102-3-36-43","url":null,"abstract":"The article presents the results of identifying the system-forming factors of geosystems and their hierarchy in the Pavlodar region on the basis of the component analysis model, which allow us to obtain data on the structure of the relationships of parameters for the formation of information about the current state and forecast of the dynamics of geosystems in the development of the optimal structure of nature management. Separate quantitative indicators of geosystems obtained on the basis of cartographic materials, using the spatial interpolation method, are considered, and numerical values of the following parameters are used as initial data: duration of sunshine, radiation balance, average annual precipitation, average annual river runoff, maximum river runoff, coefficient of variation or variability of annual runoff, turbidity, average slope, average slope exposure, average NDVI value, etc.. In the calculation of the value matrix in geosystems, the \"FACTOR\" software is used to build components (programmer T. F. Savina on algorithms of L. M. Pavlichenko). Based on the analysis of scientific papers, the possibility of component analysis to combine statistical modeling and system analysis of specific objects (geosystems) is shown. The use of system analysis in the construction of component analysis is demonstrated, which allows you to identify the functions of the geosystem and rank them by their contribution to the total variance of the system, taking into account the nature of the relationship and self-organization of the system.","PeriodicalId":256870,"journal":{"name":"Hydrometeorology and ecology","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127336259","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}
Pub Date : 1900-01-01DOI: 10.54668/2789-6323-2021-101-2-23-32
B. Kerimbay, M. N. Musabayeva, N. N. Kerimbay
The study of the biomass productivity of vegetation in the Sharyn River basin, carried out on the basis of remote sensing data, on the European digital platform for global monitoring of the Earth CGLS, the DMP module using satellite images from Sentinel-2 sensors, in combination with meteorological data from MeteoConsult (EU) for the time period 2014…2019 Spatial and temporal consistency was checked by comparing these data with climatic parameters during the vegetation part of the annual cycle. The data of Kazhydromet were studied and diagrams of the average annual precipitation and average air temperature by months for the studied period of time were built.
{"title":"DETERMINATION OF VEGETATION BIOMASS PRODUCTIVITY IN THE SHARYN RIVER BASIN","authors":"B. Kerimbay, M. N. Musabayeva, N. N. Kerimbay","doi":"10.54668/2789-6323-2021-101-2-23-32","DOIUrl":"https://doi.org/10.54668/2789-6323-2021-101-2-23-32","url":null,"abstract":"The study of the biomass productivity of vegetation in the Sharyn River basin, carried out on the basis of remote sensing data, on the European digital platform for global monitoring of the Earth CGLS, the DMP module using satellite images from Sentinel-2 sensors, in combination with meteorological data from MeteoConsult (EU) for the time period 2014…2019 Spatial and temporal consistency was checked by comparing these data with climatic parameters during the vegetation part of the annual cycle. The data of Kazhydromet were studied and diagrams of the average annual precipitation and average air temperature by months for the studied period of time were built.","PeriodicalId":256870,"journal":{"name":"Hydrometeorology and ecology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130230577","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}
Pub Date : 1900-01-01DOI: 10.54668/2789-6323-2021-100-1-50-56
D. Kissebayev, S.Zh. Beysenbayeva
This study considers the change in the timing of the appearance of autumn ice events on the river. Zhayik (Ural) related to anthropogenic activities and climate change. Autumn ice phenomena include floating ice (lard, shuga, snowflake) and the establishment of ice composition. As studies have shown, there is a tendency of later appearance of autumn ice phenomena (by 6...9 days) and the establishment of ice formation on the river (by 9...11 days), as well as a slight increase in the duration of the ice formation period (by 2...3 days).
{"title":"CHARACTERISTIC FEATURES OF THE AUTUMN ICE REGIME OF R. ZHAYIK (URAL)","authors":"D. Kissebayev, S.Zh. Beysenbayeva","doi":"10.54668/2789-6323-2021-100-1-50-56","DOIUrl":"https://doi.org/10.54668/2789-6323-2021-100-1-50-56","url":null,"abstract":"This study considers the change in the timing of the appearance of autumn ice events on the river. Zhayik (Ural) related to anthropogenic activities and climate change. Autumn ice phenomena include floating ice (lard, shuga, snowflake) and the establishment of ice composition. As studies have shown, there is a tendency of later appearance of autumn ice phenomena (by 6...9 days) and the establishment of ice formation on the river (by 9...11 days), as well as a slight increase in the duration of the ice formation period (by 2...3 days).","PeriodicalId":256870,"journal":{"name":"Hydrometeorology and ecology","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134282817","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}
Pub Date : 1900-01-01DOI: 10.54668/2789-6323-2021-100-1-42-49
N. Ramazanova, Ch.Zh. Avezkhanov
Since soil erosion is one of the processes that have a significant negative impact on land resources, as well as the economy, it is very important to determine the main types of erosion, calculate the process of soil erosion, rationalize and organize its prevention. Soil erosion is most often observed on fine-grained soils, in areas with high humidity and strong winds, with severe erosion, soil fertility is lost, which accordingly leads to a deterioration in the quality of agricultural products. Today it is effective to use the RUSLE formula to determine the main factors affecting soil erosion processes. The article examines the Ulysai river basin, located in the Burlinsky district of the West Kazakhstan region. In the course of the study, the coefficient of soil erosion for pastures was 0.007...0.09 t/ha per year. On arable land, the value of the coefficient A of soil erosion was 0,2...0,83 t/ha per year.
{"title":"DETERMINATION OF SOIL LOSS IN THE ULYSAI RIVER BASIN USING THE RUSLE FORMULA","authors":"N. Ramazanova, Ch.Zh. Avezkhanov","doi":"10.54668/2789-6323-2021-100-1-42-49","DOIUrl":"https://doi.org/10.54668/2789-6323-2021-100-1-42-49","url":null,"abstract":"Since soil erosion is one of the processes that have a significant negative impact on land resources, as well as the economy, it is very important to determine the main types of erosion, calculate the process of soil erosion, rationalize and organize its prevention. Soil erosion is most often observed on fine-grained soils, in areas with high humidity and strong winds, with severe erosion, soil fertility is lost, which accordingly leads to a deterioration in the quality of agricultural products. Today it is effective to use the RUSLE formula to determine the main factors affecting soil erosion processes. The article examines the Ulysai river basin, located in the Burlinsky district of the West Kazakhstan region. In the course of the study, the coefficient of soil erosion for pastures was 0.007...0.09 t/ha per year. On arable land, the value of the coefficient A of soil erosion was 0,2...0,83 t/ha per year.","PeriodicalId":256870,"journal":{"name":"Hydrometeorology and ecology","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133545782","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}
Pub Date : 1900-01-01DOI: 10.54668/2789-6323-2021-102-3-68-73
T. Salikhov, T. S. Salikhova
This work is devoted to the preservation and enhancement of soil fertility, since their condition is the main part of the general problem of rational use of land resources, increasing productivity and improving the soil ecology of agricultural landscapes. The modern assessment of soils is relevant for the development of the state and society, as it provides information on accounting for the geographical distribution, on the value of soils, on rational use, on the protection and planning of soil use. As a result of the work, thematic soil maps and attribute databases were formed. As a result of research based on GIS technology, a digital soil map of the Talas district of the Zhambyl region was developed using the ArcGIS software product.
{"title":"THE STUDY OF SOIL COVER OF TALAS DISTRICT OF ZHAMBYL REGION","authors":"T. Salikhov, T. S. Salikhova","doi":"10.54668/2789-6323-2021-102-3-68-73","DOIUrl":"https://doi.org/10.54668/2789-6323-2021-102-3-68-73","url":null,"abstract":"This work is devoted to the preservation and enhancement of soil fertility, since their condition is the main part of the general problem of rational use of land resources, increasing productivity and improving the soil ecology of agricultural landscapes. The modern assessment of soils is relevant for the development of the state and society, as it provides information on accounting for the geographical distribution, on the value of soils, on rational use, on the protection and planning of soil use. As a result of the work, thematic soil maps and attribute databases were formed. As a result of research based on GIS technology, a digital soil map of the Talas district of the Zhambyl region was developed using the ArcGIS software product.","PeriodicalId":256870,"journal":{"name":"Hydrometeorology and ecology","volume":"08 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127144436","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}
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