Daiwen Zhu, Quan Li, Binzhou Yan, Zhenshi Zhang, Yujin Li
{"title":"Ecological Risk Assessment and Spatial\u0000Distribution of Heavy Metal in an Abandoned\u0000Mining Area, a Case Study of Liaoyang Pyrite\u0000Mining Area in China: Implications\u0000for the Environmental Remediation\u0000of Mine Sites","authors":"Daiwen Zhu, Quan Li, Binzhou Yan, Zhenshi Zhang, Yujin Li","doi":"10.15244/pjoes/173110","DOIUrl":"https://doi.org/10.15244/pjoes/173110","url":null,"abstract":"","PeriodicalId":20363,"journal":{"name":"Polish Journal of Environmental Studies","volume":"30 46","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138946915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ecological knowledge and destination image are important drivers of ecotourism. Although previous studies have explored the antecedents of ecotourism intentions, our understanding of the factors driving demand for ecotourism is still limited. This study explored factors that affect ecotourism intention. Ecotourism knowledge and destination image were evaluated from the perspective of the theory of planned behavior. In total, 441 valid questionnaires (in paper and electronic format) were obtained and analyzed using a structural equation model. We developed an extended theoretical model of planned behavior. The results showed that ecological knowledge, attitude, and perceived behavioral control had a significant impact on ecotourism intention. Destination image directly affected attitudes toward ecotourism. Ecotourism attitude and subjective norms mediated the relationship between ecotourism knowledge and ecotourism intention. This study extended the theory of planned behavior to analyze ecotourism intention according to ecotourism knowledge and destination image. The findings of this study enrich the literature on tourism and consumer behavior, and also have practical implications for ecotourism operators aiming to design experiences for tourists, as well as for government and non-profit organizations attempting to promote ecotourism.
{"title":"Applying Ecotourism Knowledge and Destination\u0000Image in Planned Behavior Theory\u0000in Ecotourism","authors":"Hong Huo, Jianping Chen, Wenshun Li","doi":"10.15244/pjoes/172047","DOIUrl":"https://doi.org/10.15244/pjoes/172047","url":null,"abstract":"Ecological knowledge and destination image are important drivers of ecotourism. Although previous studies have explored the antecedents of ecotourism intentions, our understanding of the factors driving demand for ecotourism is still limited. This study explored factors that affect ecotourism intention. Ecotourism knowledge and destination image were evaluated from the perspective of the theory of planned behavior. In total, 441 valid questionnaires (in paper and electronic format) were obtained and analyzed using a structural equation model. We developed an extended theoretical model of planned behavior. The results showed that ecological knowledge, attitude, and perceived behavioral control had a significant impact on ecotourism intention. Destination image directly affected attitudes toward ecotourism. Ecotourism attitude and subjective norms mediated the relationship between ecotourism knowledge and ecotourism intention. This study extended the theory of planned behavior to analyze ecotourism intention according to ecotourism knowledge and destination image. The findings of this study enrich the literature on tourism and consumer behavior, and also have practical implications for ecotourism operators aiming to design experiences for tourists, as well as for government and non-profit organizations attempting to promote ecotourism.","PeriodicalId":20363,"journal":{"name":"Polish Journal of Environmental Studies","volume":"48 24","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138948915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
U. Sugarmansyah, N. Setiastuti, Heru Mulyono, Noorish Heldini, D. A. Pradnyapasa, Irfan Pratama Putera, Medtry Medtry, Heri Apriyanto, Agusta Samodra Putra, Syaeful Karim, Wenny Oktaviani, Y. I. Dwiananto, Suheti Lusiana, Iwan Guntoro
Post-Covid-19 pandemic, economic activity has been beginning to increase, and there is an increase in exports of goods and services that will drive a region’s economy, especially in the manufacturing industry sectors. However, at the same time, it will cause carbon emissions that should be mitigated as part of Indonesia’s commitment to becoming a net zero emission (2060). This study aims to investigate the direct impacts, indirect impacts, and induced effects caused by an increase in exports on the increase in output, gross value added (GVA), labor absorbed by the manufacturing industry sectors, and predictions of CO 2 e emissions that will arise. The analysis method used is an extended input-output model with the main data of the Input-Output Table and the Greenhouse Gas Inventory Data. A case study of the DI Yogyakarta region and the results showed that the projected export of products and services of around IDR 7.905 trillion would create an output of the manufacturing industry sector of around IDR 5.58 trillion, GVA of around IDR 2.20 trillion and absorb a workforce of around 71,119 people. Furthermore, the carbon emissions produced are 38.72 GgCO 2 e.
{"title":"The Impact of Export on the Development\u0000of Green Industries for Sustainability\u0000in DI Yogyakarta Region, Indonesia:\u0000an Extended Input-Output Analysis","authors":"U. Sugarmansyah, N. Setiastuti, Heru Mulyono, Noorish Heldini, D. A. Pradnyapasa, Irfan Pratama Putera, Medtry Medtry, Heri Apriyanto, Agusta Samodra Putra, Syaeful Karim, Wenny Oktaviani, Y. I. Dwiananto, Suheti Lusiana, Iwan Guntoro","doi":"10.15244/pjoes/174400","DOIUrl":"https://doi.org/10.15244/pjoes/174400","url":null,"abstract":"Post-Covid-19 pandemic, economic activity has been beginning to increase, and there is an increase in exports of goods and services that will drive a region’s economy, especially in the manufacturing industry sectors. However, at the same time, it will cause carbon emissions that should be mitigated as part of Indonesia’s commitment to becoming a net zero emission (2060). This study aims to investigate the direct impacts, indirect impacts, and induced effects caused by an increase in exports on the increase in output, gross value added (GVA), labor absorbed by the manufacturing industry sectors, and predictions of CO 2 e emissions that will arise. The analysis method used is an extended input-output model with the main data of the Input-Output Table and the Greenhouse Gas Inventory Data. A case study of the DI Yogyakarta region and the results showed that the projected export of products and services of around IDR 7.905 trillion would create an output of the manufacturing industry sector of around IDR 5.58 trillion, GVA of around IDR 2.20 trillion and absorb a workforce of around 71,119 people. Furthermore, the carbon emissions produced are 38.72 GgCO 2 e.","PeriodicalId":20363,"journal":{"name":"Polish Journal of Environmental Studies","volume":"54 49","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138949485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article examines the environmental crisis at the University of Nigeria, Nsukka, in the light of Genesis 1:26 of the Old Testament. The environmental crisis is seen in the indiscriminate disposing of refuse by staff and students, the poor maintenance culture of the toilet environment in the students’ hostel, the pollution of the air caused by the burning of refuse by staff in residential areas, and the indiscriminate urination and defecation in some parts of the university by students and visitors. This study adopted content analysis. The findings reveal that this has an immense impact on the physical, psychological, and mental state of members of the university community. Having observed this anomaly, this research proposes that Genesis 1:26 serves as a formidable solution to this escalating crisis. This Biblical pericope calls on man to maintain diligence and discipline in managing and maintaining the environment. It is believed that the solutions given will strongly speak to the increasing environmental crisis in the University of Nigeria, Nsukka.
{"title":"Genesis 1:26 in Times of Environmental Crisis\u0000in the University of Nigeria, Nsukka","authors":"F. Uroko, Peace N. Ngwoke, Gladys N. Akabike","doi":"10.15244/pjoes/157544","DOIUrl":"https://doi.org/10.15244/pjoes/157544","url":null,"abstract":"This article examines the environmental crisis at the University of Nigeria, Nsukka, in the light of Genesis 1:26 of the Old Testament. The environmental crisis is seen in the indiscriminate disposing of refuse by staff and students, the poor maintenance culture of the toilet environment in the students’ hostel, the pollution of the air caused by the burning of refuse by staff in residential areas, and the indiscriminate urination and defecation in some parts of the university by students and visitors. This study adopted content analysis. The findings reveal that this has an immense impact on the physical, psychological, and mental state of members of the university community. Having observed this anomaly, this research proposes that Genesis 1:26 serves as a formidable solution to this escalating crisis. This Biblical pericope calls on man to maintain diligence and discipline in managing and maintaining the environment. It is believed that the solutions given will strongly speak to the increasing environmental crisis in the University of Nigeria, Nsukka.","PeriodicalId":20363,"journal":{"name":"Polish Journal of Environmental Studies","volume":"36 4","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138949865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The coupled and coordinated development of new urbanization and ecological environment holds significant importance for China’s sustainable and high-quality economic and social development. By constructing an index system for new urbanization and ecological environment, and utilizing a coupled coordination degree model, the coupled coordination degrees of new urbanization and ecological environment were calculated for 31 provinces and municipalities in China. Subsequently, the spatio-temporal evolution characteristics and driving factors of the coupled coordination levels between the two systems were analyzed using non-parametric kernel density estimation and geographic detector models. The results indicate the following: (1) The overall coupled coordination degree of the two systems in the country transformed from a mildly imbalanced state to a barely coordinated state. The coupled coordination degrees of the two systems exhibit a “east-central-west” descending distribution pattern across the three major regions, with distinct temporal and internal differences. (2) The overall, eastern, and central regions show a decreasing trend in the improvement rate and imbalance level of the coupled coordination, while the western region exhibits an increasing trend in both improvement rate and imbalance level. The phenomenon of regional divergence between the eastern and western regions is evident. (3) Economic development, social security, technological innovation, industrial structure, market environment, government capacity, and openness to the outside world have significant influences on the coupled coordination of the two systems. The interaction among factors is stronger than the individual effects of each factor, highlighting the need to pay more attention
{"title":"Analysis of the Spatio-Temporal Evolution\u0000Characteristics and Driving Factors of the Coupled\u0000and Coordinated Development of China’s\u0000New Urbanization and Ecological\u0000Environment","authors":"Shuaitong Chen, Hongjun Mu, Kai Zhao, Junjie Cao","doi":"10.15244/pjoes/174015","DOIUrl":"https://doi.org/10.15244/pjoes/174015","url":null,"abstract":"The coupled and coordinated development of new urbanization and ecological environment holds significant importance for China’s sustainable and high-quality economic and social development. By constructing an index system for new urbanization and ecological environment, and utilizing a coupled coordination degree model, the coupled coordination degrees of new urbanization and ecological environment were calculated for 31 provinces and municipalities in China. Subsequently, the spatio-temporal evolution characteristics and driving factors of the coupled coordination levels between the two systems were analyzed using non-parametric kernel density estimation and geographic detector models. The results indicate the following: (1) The overall coupled coordination degree of the two systems in the country transformed from a mildly imbalanced state to a barely coordinated state. The coupled coordination degrees of the two systems exhibit a “east-central-west” descending distribution pattern across the three major regions, with distinct temporal and internal differences. (2) The overall, eastern, and central regions show a decreasing trend in the improvement rate and imbalance level of the coupled coordination, while the western region exhibits an increasing trend in both improvement rate and imbalance level. The phenomenon of regional divergence between the eastern and western regions is evident. (3) Economic development, social security, technological innovation, industrial structure, market environment, government capacity, and openness to the outside world have significant influences on the coupled coordination of the two systems. The interaction among factors is stronger than the individual effects of each factor, highlighting the need to pay more attention","PeriodicalId":20363,"journal":{"name":"Polish Journal of Environmental Studies","volume":"71 2","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138951285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ahmad Azeem, W. Mai, Changyan Tian, Muhammad Uzair Qamar, Noman Ali Buttar
The objective of this study is to produce multi-criteria model for the dry weight prediction of Wedelia trilobata under flooding and nitrogen conditions. Plants of W. trilobata were grown in a greenhouse, and treatments were given for two months . Growth parameters of 60 plants were used to build a numerical model. The neural network model was built using Quasi-Newton approaches that containing Broyden-fletcher-goldfarb-shanno gradient (BFGS) learning algorithm, multilayer perceptron (MLP) training algorithm and sigmoid axon transfer function along with 10 neurons at the input network, 9 neurons in the hidden layer, and 1 neuron in the output layer (10-9-1). The selection and validation of the best predictor model were based on lower values of errors and higher value of R 2 . The selected model had a higher values of R 2 = 0.90 and lower values of errors i.e (relative approximate error, RAE = 0.004, root mean square error, RMS = 0.027, mean absolute error, MAE = 0.004, mean absolute percentage error, MAPE = 0.013). Moreover, the highest rank 1 was obtained for leaf area during sensitivity analysis followed by water potential and photosynthesis ranked 2 rd and 3 th , respectively. The constructed model of W. trilobata under flooding and nitrogen conditions is the new feature in the management of invasive plant species and gives direction to control its spread.
本研究旨在为三叶蟛蜞菊（Wedelia trilobata）在水淹和氮肥条件下的干重预测建立多标准模型。三叶蟛蜞菊植株生长在温室中，处理时间为两个月。利用 60 株植物的生长参数建立了一个数值模型。神经网络模型的建立采用了准牛顿方法，其中包括布洛伊登-弗莱彻-金法尔-山诺梯度（BFGS）学习算法、多层感知器（MLP）训练算法和 sigmoid 轴传递函数，输入网络有 10 个神经元，隐藏层有 9 个神经元，输出层有 1 个神经元（10-9-1）。最佳预测模型的选择和验证基于较低的误差值和较高的 R 2 值。被选中的模型具有较高的 R 2 = 0.90 值和较低的误差值，即（相对近似误差 RAE = 0.004、均方根误差 RMS = 0.027、平均绝对误差 MAE = 0.004、平均绝对百分比误差 MAPE = 0.013）。此外，在灵敏度分析中，叶面积的灵敏度最高，排在第 1 位，其次是水势和光合作用，分别排在第 2 位和第 3 位。所构建的洪水和氮素条件下三叶草模型是入侵植物物种管理的新特点，为控制其扩散提供了方向。
{"title":"Prediction of Wedelia trilobata Growth under\u0000Flooding and Nitrogen Enrichment Conditions\u0000by Using Artificial Neural Network Model","authors":"Ahmad Azeem, W. Mai, Changyan Tian, Muhammad Uzair Qamar, Noman Ali Buttar","doi":"10.15244/pjoes/171684","DOIUrl":"https://doi.org/10.15244/pjoes/171684","url":null,"abstract":"The objective of this study is to produce multi-criteria model for the dry weight prediction of Wedelia trilobata under flooding and nitrogen conditions. Plants of W. trilobata were grown in a greenhouse, and treatments were given for two months . Growth parameters of 60 plants were used to build a numerical model. The neural network model was built using Quasi-Newton approaches that containing Broyden-fletcher-goldfarb-shanno gradient (BFGS) learning algorithm, multilayer perceptron (MLP) training algorithm and sigmoid axon transfer function along with 10 neurons at the input network, 9 neurons in the hidden layer, and 1 neuron in the output layer (10-9-1). The selection and validation of the best predictor model were based on lower values of errors and higher value of R 2 . The selected model had a higher values of R 2 = 0.90 and lower values of errors i.e (relative approximate error, RAE = 0.004, root mean square error, RMS = 0.027, mean absolute error, MAE = 0.004, mean absolute percentage error, MAPE = 0.013). Moreover, the highest rank 1 was obtained for leaf area during sensitivity analysis followed by water potential and photosynthesis ranked 2 rd and 3 th , respectively. The constructed model of W. trilobata under flooding and nitrogen conditions is the new feature in the management of invasive plant species and gives direction to control its spread.","PeriodicalId":20363,"journal":{"name":"Polish Journal of Environmental Studies","volume":"34 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138949633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Meruyert Kurmanbayeva, Adil Kusmangazinov, Zhaksylyk Makhatov, D. Karabalayeva, Nurgul Yerezepova, B. Murzabayev
Perennial wheat yields for several years after sowing, and develops a deep and dense root system, thereby improving soil structure and preserving soil fertility. It is also drought resistant, which increases its future potential under the ongoing climate change. Moreover, perennial wheat offers and effective strategy for carbon sequestration through increasing soil carbon stocks. However, the effect of perennial wheat on soil properties remains uncertain in the conditions of south-eastern Kazakhstan due to the lack of data. To fill this gap, we conducted a study in which five varieties of perennial wheat were grown in the Almaty region in soils of different fertility for two years. As a result, in the plot where topsoil was removed to a depth of 25 cm, total carbon increased by nearly three times, from 0.54% to 1.42%, and the number of microorganisms increased from 715.1x103±0.2x103 to 48.0x103±0.6x103 colony forming units per ml of soil. The photosynthetic performance of perennial wheat varieties in the experimental plot was not negatively affected by the removal of top soil suggesting that perennial wheat can successfully restore soil fertility and replenish soil with chemical elements involved in photosynthesis. Our results confirm that in the conditions of the south-eastern Kazakhstan perennial wheat makes a significant contribution to the soil carbon stock accumulation and development of soil biota; in our study, these effects were particularly strong in the case of degraded soil.
{"title":"Positive Effects of Perennial Wheat on Soil\u0000Fertility, Carbon Stocks and Microbial Biomass\u0000in South-Eastern Kazakhstan","authors":"Meruyert Kurmanbayeva, Adil Kusmangazinov, Zhaksylyk Makhatov, D. Karabalayeva, Nurgul Yerezepova, B. Murzabayev","doi":"10.15244/pjoes/174013","DOIUrl":"https://doi.org/10.15244/pjoes/174013","url":null,"abstract":"Perennial wheat yields for several years after sowing, and develops a deep and dense root system, thereby improving soil structure and preserving soil fertility. It is also drought resistant, which increases its future potential under the ongoing climate change. Moreover, perennial wheat offers and effective strategy for carbon sequestration through increasing soil carbon stocks. However, the effect of perennial wheat on soil properties remains uncertain in the conditions of south-eastern Kazakhstan due to the lack of data. To fill this gap, we conducted a study in which five varieties of perennial wheat were grown in the Almaty region in soils of different fertility for two years. As a result, in the plot where topsoil was removed to a depth of 25 cm, total carbon increased by nearly three times, from 0.54% to 1.42%, and the number of microorganisms increased from 715.1x103±0.2x103 to 48.0x103±0.6x103 colony forming units per ml of soil. The photosynthetic performance of perennial wheat varieties in the experimental plot was not negatively affected by the removal of top soil suggesting that perennial wheat can successfully restore soil fertility and replenish soil with chemical elements involved in photosynthesis. Our results confirm that in the conditions of the south-eastern Kazakhstan perennial wheat makes a significant contribution to the soil carbon stock accumulation and development of soil biota; in our study, these effects were particularly strong in the case of degraded soil.","PeriodicalId":20363,"journal":{"name":"Polish Journal of Environmental Studies","volume":"120 12","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138959027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tao Chen, Peng Zhou, Wanqing Xu, Yating Liu, Siwei Sun
PM 2.5 is the main source of air pollution in China. The problem of air pollution has become the focus of public opinion and academic research in recent years. This article departs from the traditional single-scale approach and adopts a spatial multiscale perspective. Leveraging annual average PM 2.5 concentration data and urban socioeconomic data spanning the period from 2009 to 2018, in conjunction with atmospheric PM 2.5 remote sensing inversion datasets, a comprehensive analysis is conducted. This analysis encompasses the utilization of GIS spatial-temporal analysis techniques and geographic detectors. The primary objective of this research is to investigate the spatiotemporal evolution characteristics of PM 2.5 in the Yangtze River Basin during the years 2009 to 2018, as well as to elucidate the influencing factors therein. This study is crucial to the joint prevention and control of air pollution. The Results showed that (1) The overall trend in the number of cities with annual average PM 2.5 concentrations below 35 μg/m³ (the annual limit value in China) exhibits fluctuating upward dynamics. (2) From 2009 to 2018, the low-value area distribution of the annual average PM 2.5 concentration in the Yangtze River Basin was stable, whereas the high-value area showed a trend of “first decreasing, then increasing, and then decreasing.” (3) The spatial and temporal agglomeration effect was evident, showing an “east-hot, west-cold” agglomeration pattern. From 2009 to 2018, the high-value aggregation area expanded to the middle part of the Yangtze River Basin and then continued to the north. The low-value concentration area was concentrated in the western part of the Yangtze River Basin, and the range change trend was not large. (4) While each variable concurrently engages in interactions, they also exhibit varying degrees of influence on the spatiotemporal distribution of PM 2.5 . Among them, population density and the proportion of urban built-up areas in the index layer of population and urbanization are strongly correlated factors.
{"title":"Spatial-Temporal Evolution Characteristics\u0000and Influencing Factors of PM2.5 in the Yangtze\u0000River Basin","authors":"Tao Chen, Peng Zhou, Wanqing Xu, Yating Liu, Siwei Sun","doi":"10.15244/pjoes/173105","DOIUrl":"https://doi.org/10.15244/pjoes/173105","url":null,"abstract":"PM 2.5 is the main source of air pollution in China. The problem of air pollution has become the focus of public opinion and academic research in recent years. This article departs from the traditional single-scale approach and adopts a spatial multiscale perspective. Leveraging annual average PM 2.5 concentration data and urban socioeconomic data spanning the period from 2009 to 2018, in conjunction with atmospheric PM 2.5 remote sensing inversion datasets, a comprehensive analysis is conducted. This analysis encompasses the utilization of GIS spatial-temporal analysis techniques and geographic detectors. The primary objective of this research is to investigate the spatiotemporal evolution characteristics of PM 2.5 in the Yangtze River Basin during the years 2009 to 2018, as well as to elucidate the influencing factors therein. This study is crucial to the joint prevention and control of air pollution. The Results showed that (1) The overall trend in the number of cities with annual average PM 2.5 concentrations below 35 μg/m³ (the annual limit value in China) exhibits fluctuating upward dynamics. (2) From 2009 to 2018, the low-value area distribution of the annual average PM 2.5 concentration in the Yangtze River Basin was stable, whereas the high-value area showed a trend of “first decreasing, then increasing, and then decreasing.” (3) The spatial and temporal agglomeration effect was evident, showing an “east-hot, west-cold” agglomeration pattern. From 2009 to 2018, the high-value aggregation area expanded to the middle part of the Yangtze River Basin and then continued to the north. The low-value concentration area was concentrated in the western part of the Yangtze River Basin, and the range change trend was not large. (4) While each variable concurrently engages in interactions, they also exhibit varying degrees of influence on the spatiotemporal distribution of PM 2.5 . Among them, population density and the proportion of urban built-up areas in the index layer of population and urbanization are strongly correlated factors.","PeriodicalId":20363,"journal":{"name":"Polish Journal of Environmental Studies","volume":" 0","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138961764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Soil properties are crucial in forest ecological management and rare vegetation protection. In this study, Fanjing Mountain, a typical subtropical forest, was used to investigate and analyze the differences in soil properties and climate change characteristics of Fanjing Mountain in 1982 and 2014. Then redundancy analysis was used to analyze the influence of climate factors on soil properties. The results showed that: 1) Compared to 1982, the soil properties of Fanjian Mountain changed significantly in 2014. The soil texture evolved from a silty loam in 1982 to a silty clay loam in 2014. There was a significant increase in soil clay particles. In addition, the soil showed acidification, weakened cation exchange capacity, and relatively stable soil total nitrogen but significant loss of soil organic matter and total phosphorus nutrients. 2) In the past 32 years, the environmental climate of Fanjing Mountain has shown the characteristics of increasing annual average temperature and annual rainfall, frequent extreme temperature, widening the annual temperature range and decreasing annual relative humidity. 3) Soil type and maximum annual temperature have a highly significant effect on the evolution of soil properties, while annual rainfall and slope orientation significantly affect the evolution.
{"title":"A Study on the Evolutionary Characteristics\u0000of Soil Properties and Their Drivers in Central\u0000Subtropical Forests: the Case of Fanjing\u0000Mountains in Southwest China","authors":"Wenmin Luo, Yingying Liu, Yupeng Liu, Guiting Mu, Xianliang Wu, Zhenming Zhang","doi":"10.15244/pjoes/173998","DOIUrl":"https://doi.org/10.15244/pjoes/173998","url":null,"abstract":"Soil properties are crucial in forest ecological management and rare vegetation protection. In this study, Fanjing Mountain, a typical subtropical forest, was used to investigate and analyze the differences in soil properties and climate change characteristics of Fanjing Mountain in 1982 and 2014. Then redundancy analysis was used to analyze the influence of climate factors on soil properties. The results showed that: 1) Compared to 1982, the soil properties of Fanjian Mountain changed significantly in 2014. The soil texture evolved from a silty loam in 1982 to a silty clay loam in 2014. There was a significant increase in soil clay particles. In addition, the soil showed acidification, weakened cation exchange capacity, and relatively stable soil total nitrogen but significant loss of soil organic matter and total phosphorus nutrients. 2) In the past 32 years, the environmental climate of Fanjing Mountain has shown the characteristics of increasing annual average temperature and annual rainfall, frequent extreme temperature, widening the annual temperature range and decreasing annual relative humidity. 3) Soil type and maximum annual temperature have a highly significant effect on the evolution of soil properties, while annual rainfall and slope orientation significantly affect the evolution.","PeriodicalId":20363,"journal":{"name":"Polish Journal of Environmental Studies","volume":" 1123","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138960221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nga Thi Thuy Duong, Trang T. M. Truong, Ha Manh Bui
change impacts
变化的影响
{"title":"Estimation of Forest Biomass and Absorbed CO2\u0000by Remote Sensing in Can Gio, Vietnam","authors":"Nga Thi Thuy Duong, Trang T. M. Truong, Ha Manh Bui","doi":"10.15244/pjoes/173165","DOIUrl":"https://doi.org/10.15244/pjoes/173165","url":null,"abstract":"change impacts","PeriodicalId":20363,"journal":{"name":"Polish Journal of Environmental Studies","volume":"115 32","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138959760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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