Pub Date : 2024-01-12DOI: 10.24057/2071-9388-2023-2719
Y. He, D. Qi, V. M. Bure
The aim of this article evaluate the long-term air quality in China based on the air quality index (AQI) and the air quality composite index (AQCI) though the multinomial logistic regression method. The two developed models employ different dependent variables, AQI and AQCI, while maintaining the same controlled variables gross domestic product (GDP), and a primary pollutant. Explicitly, the primary impurity is associated with one or more contaminants among six pollutant factors: O3, PM2.5, PM10, NO2, SO2, and CO. Model quality verification is an integral part of our analysis. The results are illustrate d using real air quality data from China. The developed models were applied to predict AQI and ACQI for the 31 capital cities in China from 2013 to 2019 annually. All calculations and tests are conducted using R-studio. In summary, both models are able to predict China’s long-term air quality. A comparison of the AQI and AQCI models using the ROC curve reveals that the AQCI model exhibits greater significance than the AQI model.
{"title":"Long-Term Air Quality Evaluation System Prediction In China Based On Multinomial Logistic Regression Method","authors":"Y. He, D. Qi, V. M. Bure","doi":"10.24057/2071-9388-2023-2719","DOIUrl":"https://doi.org/10.24057/2071-9388-2023-2719","url":null,"abstract":"The aim of this article evaluate the long-term air quality in China based on the air quality index (AQI) and the air quality composite index (AQCI) though the multinomial logistic regression method. The two developed models employ different dependent variables, AQI and AQCI, while maintaining the same controlled variables gross domestic product (GDP), and a primary pollutant. Explicitly, the primary impurity is associated with one or more contaminants among six pollutant factors: O3, PM2.5, PM10, NO2, SO2, and CO. Model quality verification is an integral part of our analysis. The results are illustrate d using real air quality data from China. The developed models were applied to predict AQI and ACQI for the 31 capital cities in China from 2013 to 2019 annually. All calculations and tests are conducted using R-studio. In summary, both models are able to predict China’s long-term air quality. A comparison of the AQI and AQCI models using the ROC curve reveals that the AQCI model exhibits greater significance than the AQI model.","PeriodicalId":37517,"journal":{"name":"Geography, Environment, Sustainability","volume":"38 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139532212","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}
The land use change has affected nearly 32% of the global landscape from 1960 to 2019. Several studies have examined the impacts of land use land cover (LULC) on the surface temperature. Still, the spatiotemporal variation of LULC and LST with altitude is a less researched area. In the current study, we assess the LULC dynamics and its relation to altitudinal LST in the Himalayan Satluj River basin in Himachal Pradesh across the altitudinal range of 332 to 6558 meters. LULC, LST, NDVI, and NDMI were derived from Landsat data for 1980-2020. The spatial pattern was analyzed using Support Vector Machine (SVM) and a mono-window algorithm. The results of LULC denote that snow covered area (SCA) have decreased by nearly 56.19% since 1980 and vegetation cover has increased. However, a decline in vegetation density is pronounced at the same time. The mean surface temperature of the Satluj basin has amplified by 6°C (0.25°C/year) from 1996 to 2020. Mostly Zone 3 and 4 are under high hilly and temperate dry regions in Lahaul Spiti and Kinnaur district of Himachal Pradesh. The most important sign is that the mean surface temperature for Zone 3 (3000m-4500m) and Zone 4 (above 4500m) was the highest increase to 6°C (0.26°C/year) and 8°C (0.31°C/year) from 1996 to 2020. The increase in LST values is attributed to land cover dynamics precisely the decline of snow cover area and the emergence of vegetation zone at higher above the 4500 altitudes. Our study facilitates regional analysis.
{"title":"Altitudinal Appraisal Of Land Use Land Cover And Surface Temperature Change In The Satluj Basin, India","authors":"Pankaj Kumar, Swati Thakur, Surajmal Junawa, Subhash Anand","doi":"10.24057/2071-9388-2023-2958","DOIUrl":"https://doi.org/10.24057/2071-9388-2023-2958","url":null,"abstract":"The land use change has affected nearly 32% of the global landscape from 1960 to 2019. Several studies have examined the impacts of land use land cover (LULC) on the surface temperature. Still, the spatiotemporal variation of LULC and LST with altitude is a less researched area. In the current study, we assess the LULC dynamics and its relation to altitudinal LST in the Himalayan Satluj River basin in Himachal Pradesh across the altitudinal range of 332 to 6558 meters. LULC, LST, NDVI, and NDMI were derived from Landsat data for 1980-2020. The spatial pattern was analyzed using Support Vector Machine (SVM) and a mono-window algorithm. The results of LULC denote that snow covered area (SCA) have decreased by nearly 56.19% since 1980 and vegetation cover has increased. However, a decline in vegetation density is pronounced at the same time. The mean surface temperature of the Satluj basin has amplified by 6°C (0.25°C/year) from 1996 to 2020. Mostly Zone 3 and 4 are under high hilly and temperate dry regions in Lahaul Spiti and Kinnaur district of Himachal Pradesh. The most important sign is that the mean surface temperature for Zone 3 (3000m-4500m) and Zone 4 (above 4500m) was the highest increase to 6°C (0.26°C/year) and 8°C (0.31°C/year) from 1996 to 2020. The increase in LST values is attributed to land cover dynamics precisely the decline of snow cover area and the emergence of vegetation zone at higher above the 4500 altitudes. Our study facilitates regional analysis.","PeriodicalId":37517,"journal":{"name":"Geography, Environment, Sustainability","volume":" 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139625069","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 : 2024-01-12DOI: 10.24057/2071-9388-2023-2641
D. Ngo, K. N. Quoc, N. T. Dang, C. H. Dang, L. L. Tran, H. Nguyen
Mangroves are one of the most important types of wetlands in coastal areas and perform many different functions. Assessing the structure and function of mangroves is a premise for the management, monitoring and development of this most diverse and vulnerable ecosystem. In this study, the unmanned aerial vehicle (UAV) Phantom 4 Multispectral was used to analyse the structure of a mangrove forest area of approximately 50 hectares in Dong Rui commune, Tien Yen district, Quang Ninh Province – one of the most diverse wetland ecosystems in northern Vietnam. Based on the visual classification method combined with the results of field taxonomic sampling, a mangrove tree classification map was established for UAV with three species, Bruguiera gymnorrhiza, Rhizophora stylosa, and Kandelia obovata, achieving an overall accuracy = 86.28%, corresponding to a Kappa coefficient =0.84. From the images obtained from the UAV, we estimated and developed maps and assessed the difference in tree height and four vegetation indices, including the normalized difference vegetation index (NDVI), green normalized difference vegetation index (GNDVI), enhanced vegetation index (EVI), and green chlorophyll index (GCI), for three mangrove plant species in the flying area. Bruguiera gymnorrhiza and Rhizophora stylosa reach an average height of 4 to 5 m and are distributed mainly in high tide areas. Meanwhile, Kandelia obovata has a lower height (ranging from 2 to 4 m), distributed in low-tide areas, near frequent flows. This study confirms the superiority of UAV with red edge and near-infrared wave bands in classifying and studying mangrove structures in small-scale areas.
{"title":"Analysis Of The Mangrove Structure In The Dong Rui Commune Based On Multispectral Unmanned Aerial Vehicle Image Data","authors":"D. Ngo, K. N. Quoc, N. T. Dang, C. H. Dang, L. L. Tran, H. Nguyen","doi":"10.24057/2071-9388-2023-2641","DOIUrl":"https://doi.org/10.24057/2071-9388-2023-2641","url":null,"abstract":"Mangroves are one of the most important types of wetlands in coastal areas and perform many different functions. Assessing the structure and function of mangroves is a premise for the management, monitoring and development of this most diverse and vulnerable ecosystem. In this study, the unmanned aerial vehicle (UAV) Phantom 4 Multispectral was used to analyse the structure of a mangrove forest area of approximately 50 hectares in Dong Rui commune, Tien Yen district, Quang Ninh Province – one of the most diverse wetland ecosystems in northern Vietnam. Based on the visual classification method combined with the results of field taxonomic sampling, a mangrove tree classification map was established for UAV with three species, Bruguiera gymnorrhiza, Rhizophora stylosa, and Kandelia obovata, achieving an overall accuracy = 86.28%, corresponding to a Kappa coefficient =0.84. From the images obtained from the UAV, we estimated and developed maps and assessed the difference in tree height and four vegetation indices, including the normalized difference vegetation index (NDVI), green normalized difference vegetation index (GNDVI), enhanced vegetation index (EVI), and green chlorophyll index (GCI), for three mangrove plant species in the flying area. Bruguiera gymnorrhiza and Rhizophora stylosa reach an average height of 4 to 5 m and are distributed mainly in high tide areas. Meanwhile, Kandelia obovata has a lower height (ranging from 2 to 4 m), distributed in low-tide areas, near frequent flows. This study confirms the superiority of UAV with red edge and near-infrared wave bands in classifying and studying mangrove structures in small-scale areas.","PeriodicalId":37517,"journal":{"name":"Geography, Environment, Sustainability","volume":"57 47","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139533031","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 : 2024-01-12DOI: 10.24057/2071-9388-2023-2922
N. Yazici, T. P. Novikova, A. I. Novikov, N. Bilir
There could be many environmental and biological impacts such as edaphic, geographic, climatic, age, tree structure and population on morphological, physiological and genetically seed quality in plant species. Gene diversity is an important mirror of genetically seed quality. Gene diversity in seed crops were estimated based on female and male strobili productions of fifty trees (N) randomly chosen from each population sampled over an altitudinal range as low (1200-400 meters ≤ altitude), middle (1400 m < altitude ≤ 1600 m), high (1600 m < altitude ≤ 1800 m), and very high (1800 m < altitude) in Taurus cedar also known as cedar of Lebanon (Cedrus libani A. Rich.) for two consecutive years (2021&2022). The variation in strobilus production was subjected to estimation of female and male fertility variation. The total fertility variation (Ψ) was estimated from the female and male fertility variation. Impacts of some growth characteristics (tree height and diameter at breast height) on strobili productions were also investigated. Strobili productions varied among the populations and individuals within population, and between years. The differences for populations and years were also found for coefficient of variations which were mirror of fertility variation of the strobili productions. Tree height and diameter at breast height seemed more reasonable predictor than age for number of strobili. Fertility variations of female parents were generally higher than that of male in both years. First year showed generally higher parental variations in individual populations. Gene diversity (GD=1-0.5Ψ/N) ranged from 0.967 to 0.974 for the populations and years. The loss of highest gene diversity was 0.004 in low population (0.967 & 0.971) between years. Results of the study indicated that altitudinal gene diversity of seed crop could be used to produce genetically quality seed and their grading. Moreover, data sets can be used to fill the Forest Landscape Restoration library (FLR-Library).
{"title":"Gene Diversity In Seed Crop Of Taurus Cedar (Cedrus Libani A. Rich.) Over An Altitudinal Range","authors":"N. Yazici, T. P. Novikova, A. I. Novikov, N. Bilir","doi":"10.24057/2071-9388-2023-2922","DOIUrl":"https://doi.org/10.24057/2071-9388-2023-2922","url":null,"abstract":"There could be many environmental and biological impacts such as edaphic, geographic, climatic, age, tree structure and population on morphological, physiological and genetically seed quality in plant species. Gene diversity is an important mirror of genetically seed quality. Gene diversity in seed crops were estimated based on female and male strobili productions of fifty trees (N) randomly chosen from each population sampled over an altitudinal range as low (1200-400 meters ≤ altitude), middle (1400 m < altitude ≤ 1600 m), high (1600 m < altitude ≤ 1800 m), and very high (1800 m < altitude) in Taurus cedar also known as cedar of Lebanon (Cedrus libani A. Rich.) for two consecutive years (2021&2022). The variation in strobilus production was subjected to estimation of female and male fertility variation. The total fertility variation (Ψ) was estimated from the female and male fertility variation. Impacts of some growth characteristics (tree height and diameter at breast height) on strobili productions were also investigated. Strobili productions varied among the populations and individuals within population, and between years. The differences for populations and years were also found for coefficient of variations which were mirror of fertility variation of the strobili productions. Tree height and diameter at breast height seemed more reasonable predictor than age for number of strobili. Fertility variations of female parents were generally higher than that of male in both years. First year showed generally higher parental variations in individual populations. Gene diversity (GD=1-0.5Ψ/N) ranged from 0.967 to 0.974 for the populations and years. The loss of highest gene diversity was 0.004 in low population (0.967 & 0.971) between years. Results of the study indicated that altitudinal gene diversity of seed crop could be used to produce genetically quality seed and their grading. Moreover, data sets can be used to fill the Forest Landscape Restoration library (FLR-Library).","PeriodicalId":37517,"journal":{"name":"Geography, Environment, Sustainability","volume":" 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139624868","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 : 2024-01-12DOI: 10.24057/2071-9388-2023-3022
A. V. Shevchenko, A. Seleznev, G. Malinovsky, I. Yarmoshenko
The aim of this study is to provide a tool to assess sediment production in an urban area. The urban environment is affected by a variety of anthropogenic and natural factors that, in particular, lead to the sediment production. The storage of sediments in the urban landscape negatively affects the quality of the urban environment. The model was developed on the basis of landscape studies conducted in residential areas of six Russian cities. The model takes into account (1) the influence of precipitation, spring snowmelt, and vehicles, (2) the influence of erosion factors for two seasons: warm (t>5°C) and cold (t<5°C), and (3) the presence of disturbed surfaces. The application of the developed model to Ekaterinburg city conditions returned sediment production equal to 1.2 kg/m2/y. A comparison of seasonal values shows that sediment production in cold season is 2.5 times higher than in the warm season. In the absence of the disturbed surfaces, sediment production decreases to 0.44 kg/m2/y. Modeling showed a correlation between sediment production in Russian cities and duration of the cold season. The efficiency of various urban area maintenance practices and cleaning measures were evaluated in terms of sediment production and storage. The developed model presented in this paper is based on research in Russian cities, but can be applied to assess the formation of sediment and measures to reduce the value of its accumulation in the urban environment in different regions of the world.
{"title":"Modeling Sediment Production In Urban Environments: Case Of Russian Cities","authors":"A. V. Shevchenko, A. Seleznev, G. Malinovsky, I. Yarmoshenko","doi":"10.24057/2071-9388-2023-3022","DOIUrl":"https://doi.org/10.24057/2071-9388-2023-3022","url":null,"abstract":"The aim of this study is to provide a tool to assess sediment production in an urban area. The urban environment is affected by a variety of anthropogenic and natural factors that, in particular, lead to the sediment production. The storage of sediments in the urban landscape negatively affects the quality of the urban environment. The model was developed on the basis of landscape studies conducted in residential areas of six Russian cities. The model takes into account (1) the influence of precipitation, spring snowmelt, and vehicles, (2) the influence of erosion factors for two seasons: warm (t>5°C) and cold (t<5°C), and (3) the presence of disturbed surfaces. The application of the developed model to Ekaterinburg city conditions returned sediment production equal to 1.2 kg/m2/y. A comparison of seasonal values shows that sediment production in cold season is 2.5 times higher than in the warm season. In the absence of the disturbed surfaces, sediment production decreases to 0.44 kg/m2/y. Modeling showed a correlation between sediment production in Russian cities and duration of the cold season. The efficiency of various urban area maintenance practices and cleaning measures were evaluated in terms of sediment production and storage. The developed model presented in this paper is based on research in Russian cities, but can be applied to assess the formation of sediment and measures to reduce the value of its accumulation in the urban environment in different regions of the world.","PeriodicalId":37517,"journal":{"name":"Geography, Environment, Sustainability","volume":" 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139623981","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 : 2024-01-12DOI: 10.24057/2071-9388-2023-2824
A. Luzhetskaya, E. Nagovitsyna, V. Poddubny
The results of a comparison of the PM2.5 aerosol concentration daily variability for the summer and winter seasons at the urban and background monitoring sites in the Middle Urals for 2016–2019 are presented. The cluster analysis method revealed a statistically significant difference between the two groups corresponding to higher and lower concentrations of fine aerosol during the day. Studies of the daily variation of the PM2.5 particle concentration in the Middle Urals indicate the leading role of meteorological characteristics (in particular, air temperature, pressure and wind speed) in changing the level of aerosol suspension in the air surface layer. Distinctive typical average daily concentrations of PM2.5 for the Middle Urals region, corresponding to the cluster of lower values, are observed in the summer and are on average ~ 5.2 µg/m3 for the urban area and ~ 3.4 μg/m3 for the background site. In winter, these parameters are 12.8 μg/m3 for urban conditions and 10.5 μg/m3 for background site. The higher content of PM2.5 particles, corresponding to the cluster of higher values, are identified in winter and are on average ~32.2 µg/m3 in urban conditions and ~ 30.3 µg/m3 in the background area. In summer, these parameters are 13.6 μg/m3 for urban site and 9.6 μg/m3 for background area. Simultaneous analysis of the fine aerosol concentrations and the meteorological parameters in the surface atmospheric layer allowed to define of weather conditions, at which the occurrence of higher PM2.5 values is possible.
{"title":"Impact Of Meteorological Parameters On The Daily Variability Of The Ground-Level PM2.5 Concentrations According To Measurements In The Middle Urals","authors":"A. Luzhetskaya, E. Nagovitsyna, V. Poddubny","doi":"10.24057/2071-9388-2023-2824","DOIUrl":"https://doi.org/10.24057/2071-9388-2023-2824","url":null,"abstract":"The results of a comparison of the PM2.5 aerosol concentration daily variability for the summer and winter seasons at the urban and background monitoring sites in the Middle Urals for 2016–2019 are presented. The cluster analysis method revealed a statistically significant difference between the two groups corresponding to higher and lower concentrations of fine aerosol during the day. Studies of the daily variation of the PM2.5 particle concentration in the Middle Urals indicate the leading role of meteorological characteristics (in particular, air temperature, pressure and wind speed) in changing the level of aerosol suspension in the air surface layer. Distinctive typical average daily concentrations of PM2.5 for the Middle Urals region, corresponding to the cluster of lower values, are observed in the summer and are on average ~ 5.2 µg/m3 for the urban area and ~ 3.4 μg/m3 for the background site. In winter, these parameters are 12.8 μg/m3 for urban conditions and 10.5 μg/m3 for background site. The higher content of PM2.5 particles, corresponding to the cluster of higher values, are identified in winter and are on average ~32.2 µg/m3 in urban conditions and ~ 30.3 µg/m3 in the background area. In summer, these parameters are 13.6 μg/m3 for urban site and 9.6 μg/m3 for background area. Simultaneous analysis of the fine aerosol concentrations and the meteorological parameters in the surface atmospheric layer allowed to define of weather conditions, at which the occurrence of higher PM2.5 values is possible.","PeriodicalId":37517,"journal":{"name":"Geography, Environment, Sustainability","volume":" 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139625126","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 : 2024-01-12DOI: 10.24057/2071-9388-2023-2706
R. B. Medeiros, L. C. A. Dos Santos, J. F. R. Bezerra, A. R. Marques, G. I. F. A. Dos Santos
The landscape cartography assesses the functional, dynamic, structural and morphological aspects of landscapes, regardless of their taxonomic scale. It seeks to use these units to support environmental and territorial planning and management. Thus, the present study sought to apply this line of analysis to the Pindaré River Basin, precisely in its lower course, located in the Brazilian state of Maranhão. The objective was to identify, classify, map and analyze the landscapes of the lower course through the correlation of variables related to geology, relief, soils, land use and land cover providing data to support and promote preservationist and conservationist public policies and actions in the area. The methodology identified four levels of landscape analysis, from morphometric aspects, geoforms and upper units to reaching the final landscape map, using field output, digital elevation models and satellite images to validate information. The procedures allowed to identify the landscape heterogeneity in a unique environment of saturated and periodically flooded soils contrasting with extensive pastures and little native vegetation. As a result, seven first-level landscape units were identified, coming up to fifty-eight sub-units in the final map. The work aims to apply the methodology in an area of the Maranhão State where few studies on landscape cartography have occurred. The target is to comprehend possible relationships between the functional and structural potential of landscapes and their relationship with the current intensity of land use, contributing to physical- territorial planning permeating geoecological sustainability.
{"title":"Landscape Cartography In The Maranhense Amazon: The Case Of The Lower Course Of The Pindaré River Basin","authors":"R. B. Medeiros, L. C. A. Dos Santos, J. F. R. Bezerra, A. R. Marques, G. I. F. A. Dos Santos","doi":"10.24057/2071-9388-2023-2706","DOIUrl":"https://doi.org/10.24057/2071-9388-2023-2706","url":null,"abstract":"The landscape cartography assesses the functional, dynamic, structural and morphological aspects of landscapes, regardless of their taxonomic scale. It seeks to use these units to support environmental and territorial planning and management. Thus, the present study sought to apply this line of analysis to the Pindaré River Basin, precisely in its lower course, located in the Brazilian state of Maranhão. The objective was to identify, classify, map and analyze the landscapes of the lower course through the correlation of variables related to geology, relief, soils, land use and land cover providing data to support and promote preservationist and conservationist public policies and actions in the area. The methodology identified four levels of landscape analysis, from morphometric aspects, geoforms and upper units to reaching the final landscape map, using field output, digital elevation models and satellite images to validate information. The procedures allowed to identify the landscape heterogeneity in a unique environment of saturated and periodically flooded soils contrasting with extensive pastures and little native vegetation. As a result, seven first-level landscape units were identified, coming up to fifty-eight sub-units in the final map. The work aims to apply the methodology in an area of the Maranhão State where few studies on landscape cartography have occurred. The target is to comprehend possible relationships between the functional and structural potential of landscapes and their relationship with the current intensity of land use, contributing to physical- territorial planning permeating geoecological sustainability.","PeriodicalId":37517,"journal":{"name":"Geography, Environment, Sustainability","volume":"48 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139531986","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 : 2024-01-12DOI: 10.24057/2071-9388-2023-2703
A. A. Romanovskaya
Increased number of extreme weather events is one of the most serious hazards of climate change over the territory of Russia. However, there is a lack of comprehensive analysis of the number of extreme weather events that caused social and economic damage in the country and its regions. This paper analyzes changes in the total number of events with damage (meteorological for the period 1991-2019 and agrometeorological – for 2004-2019), disaggregated by their types and by regions. The Mann-Kendall test is applied to detect statistical significance (0.05 level of significance, normal distribution). The results show an increase in the number of meteorological extreme events with damage for 1990-2019 in Russia from 130 to 257 events per year on average for the 1990s and 2010s, respectively, while the proportion of events with damage in relation to the total number of extreme events decreased over this period. We found statistically significant trends only for a few types of extreme events: hot and cold temperature, strong wind, heavy rain and droughts (increase by 0.9, 9.4, 11.4, 25.9 and 13.3 events/10 years, respectively). Number of heavy rain precipitation events is the only unidirectional stable growth trend. Unusual increasing trend in cold extreme events with damage in Russia can be attributed to the greater damage to the economy and population from cold extremes than hot ones. The regional distribution of trends across the territory of the Russian Federation is heterogeneous. However, significant changes in the number of extreme events of strong winds, heavy rains and soil drought by regions are statistically positive and observed mostly in some southern and central regions of European part and the Western Siberia. The development of adaptation plans to the negative effects of climate change is a first priority for these regions. A system for monitoring economic and non-economic damage from extreme events must be developed in Russia.
{"title":"Trends In Extreme Weather Events With Socio-Economic Damage Over The Period 1991-2019 In Russia And Its Regions","authors":"A. A. Romanovskaya","doi":"10.24057/2071-9388-2023-2703","DOIUrl":"https://doi.org/10.24057/2071-9388-2023-2703","url":null,"abstract":"Increased number of extreme weather events is one of the most serious hazards of climate change over the territory of Russia. However, there is a lack of comprehensive analysis of the number of extreme weather events that caused social and economic damage in the country and its regions. This paper analyzes changes in the total number of events with damage (meteorological for the period 1991-2019 and agrometeorological – for 2004-2019), disaggregated by their types and by regions. The Mann-Kendall test is applied to detect statistical significance (0.05 level of significance, normal distribution). The results show an increase in the number of meteorological extreme events with damage for 1990-2019 in Russia from 130 to 257 events per year on average for the 1990s and 2010s, respectively, while the proportion of events with damage in relation to the total number of extreme events decreased over this period. We found statistically significant trends only for a few types of extreme events: hot and cold temperature, strong wind, heavy rain and droughts (increase by 0.9, 9.4, 11.4, 25.9 and 13.3 events/10 years, respectively). Number of heavy rain precipitation events is the only unidirectional stable growth trend. Unusual increasing trend in cold extreme events with damage in Russia can be attributed to the greater damage to the economy and population from cold extremes than hot ones. The regional distribution of trends across the territory of the Russian Federation is heterogeneous. However, significant changes in the number of extreme events of strong winds, heavy rains and soil drought by regions are statistically positive and observed mostly in some southern and central regions of European part and the Western Siberia. The development of adaptation plans to the negative effects of climate change is a first priority for these regions. A system for monitoring economic and non-economic damage from extreme events must be developed in Russia.","PeriodicalId":37517,"journal":{"name":"Geography, Environment, Sustainability","volume":"36 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139532235","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 : 2024-01-12DOI: 10.24057/2071-9388-2023-2811
V. Gornyy, O. V. Balun, A. V. Kiselev, S. G. Kritsuk, I. Latypov, A. Tronin
This study aims to examine the impact of climate change on the water storage across the East European Plain, utilizing archived digital materials from several remote sensing satellites, including the Terra/Aqua (MODIS), the Global Precipitation Climatology Project, GRACE, and GRACE FO satellites, as well as data from digital maps of Selyaninov hydrothermal coefficients. The spatial resolution of the analyzed data ranged from 1x1 km to 250x250 km. Aiming to enhance the spatial resolution of Selyaninov coefficient maps, a new version of the Selyaninov hydrothermal coefficient was suggested, leveraging satellite remote sensing data. Both visual and computer analyses of these materials reveal a consistent reduction in water storage in the southern regions of the East European Plain, accompanied by a slight increase in the Novgorod Oblast. This information suggests that the non-chernozem region of the East European Plain will play a crucial role in supplying agricultural products to the population in the next decades. The observed stable water storage in the northern part of the East European Plain, encompassing the Komi Republic and the Novgorod Oblast, hints at the potential of increased agricultural production in these areas. However, achieving sustainable growth in agricultural production in these regions necessitates a focused investment policy.
{"title":"Multiyear variations of soil moisture availability in the East European Plain","authors":"V. Gornyy, O. V. Balun, A. V. Kiselev, S. G. Kritsuk, I. Latypov, A. Tronin","doi":"10.24057/2071-9388-2023-2811","DOIUrl":"https://doi.org/10.24057/2071-9388-2023-2811","url":null,"abstract":"This study aims to examine the impact of climate change on the water storage across the East European Plain, utilizing archived digital materials from several remote sensing satellites, including the Terra/Aqua (MODIS), the Global Precipitation Climatology Project, GRACE, and GRACE FO satellites, as well as data from digital maps of Selyaninov hydrothermal coefficients. The spatial resolution of the analyzed data ranged from 1x1 km to 250x250 km. Aiming to enhance the spatial resolution of Selyaninov coefficient maps, a new version of the Selyaninov hydrothermal coefficient was suggested, leveraging satellite remote sensing data. Both visual and computer analyses of these materials reveal a consistent reduction in water storage in the southern regions of the East European Plain, accompanied by a slight increase in the Novgorod Oblast. This information suggests that the non-chernozem region of the East European Plain will play a crucial role in supplying agricultural products to the population in the next decades. The observed stable water storage in the northern part of the East European Plain, encompassing the Komi Republic and the Novgorod Oblast, hints at the potential of increased agricultural production in these areas. However, achieving sustainable growth in agricultural production in these regions necessitates a focused investment policy.","PeriodicalId":37517,"journal":{"name":"Geography, Environment, Sustainability","volume":" 46","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139623909","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 : 2024-01-12DOI: 10.24057/2071-9388-2023-2629
M. Mirzaei, M. G. Anari, M. R. Cherubin, N. Saronjic, S. M. N. Mousavi, A. Rooien, M. Zaman, A. Caballero-Calvo
Mitigating yield-scaled greenhouse gas emissions (YSE) is beneficial for enhancing crop yield, reducing greenhouse gas (GHG) emissions, and advancing climate-smart agronomic management practices. This study aims to evaluate the impact of different crop residue rates– 100% (R100), 50% (R50), and residue removal (R0) – on the YSE indicator within a maize-wheat cropping rotation under both conventional tillage (CT) and no-tillage (NT) systems in a semi-arid region. In the NT system, crop residues had a notable effect on the YSE indicator for wheat. Specifically, R0 exhibited a 39% and 20% decrease in YSE for wheat compared to R100 and R50, respectively. Interestingly, crop residue did not significantly influence YSE for maize under the NT system. On the other hand, in the CT system, YSE for maize in R0 was 33% and 25% lower than that in R100 and R50, respectively. Additionally, compared to R0, there were observed increases of 28% and 20% in YSE for wheat in R100 and R50 under the CT system, respectively. Our findings show that crop residue removal decreases YSE under both CT and NT systems. However, given that this practice degrades soil quality and results in lower yields, it is not considered a sustainable management practice compared to residue retention options. This research highlights the importance of evaluating GHG mitigation strategies by concurrently considering both emissions and crop production. Nevertheless, it is essential to conduct off-site assessments of GHG emissions from crop residue application and also engage in long-term studies to comprehend the full potential of crop residue management on YSE.
{"title":"Crop Residues Stimulate Yield-Scaled Greenhouse Gas Emissions In Maize-Wheat Cropping Rotation In A Semi-Arid Climate","authors":"M. Mirzaei, M. G. Anari, M. R. Cherubin, N. Saronjic, S. M. N. Mousavi, A. Rooien, M. Zaman, A. Caballero-Calvo","doi":"10.24057/2071-9388-2023-2629","DOIUrl":"https://doi.org/10.24057/2071-9388-2023-2629","url":null,"abstract":"Mitigating yield-scaled greenhouse gas emissions (YSE) is beneficial for enhancing crop yield, reducing greenhouse gas (GHG) emissions, and advancing climate-smart agronomic management practices. This study aims to evaluate the impact of different crop residue rates– 100% (R100), 50% (R50), and residue removal (R0) – on the YSE indicator within a maize-wheat cropping rotation under both conventional tillage (CT) and no-tillage (NT) systems in a semi-arid region. In the NT system, crop residues had a notable effect on the YSE indicator for wheat. Specifically, R0 exhibited a 39% and 20% decrease in YSE for wheat compared to R100 and R50, respectively. Interestingly, crop residue did not significantly influence YSE for maize under the NT system. On the other hand, in the CT system, YSE for maize in R0 was 33% and 25% lower than that in R100 and R50, respectively. Additionally, compared to R0, there were observed increases of 28% and 20% in YSE for wheat in R100 and R50 under the CT system, respectively. Our findings show that crop residue removal decreases YSE under both CT and NT systems. However, given that this practice degrades soil quality and results in lower yields, it is not considered a sustainable management practice compared to residue retention options. This research highlights the importance of evaluating GHG mitigation strategies by concurrently considering both emissions and crop production. Nevertheless, it is essential to conduct off-site assessments of GHG emissions from crop residue application and also engage in long-term studies to comprehend the full potential of crop residue management on YSE.","PeriodicalId":37517,"journal":{"name":"Geography, Environment, Sustainability","volume":" 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139624039","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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