It is widely recognized that the water flow in pipes can be affected by trapped air pockets. However, the underlying air–water interactions of free flow with non-jacking downstream of the pipe are rarely investigated. There are no studies at this time that clearly elucidate the differences in pipe flow between the vacuum and the presence of air in the free flow case. To this end, the smoothed particle hydrodynamics (SPH) method is applied to study the air–water hydraulic dynamics in the pipe under free flow. We perform SPH simulations in several different scenarios and find that (i) the SPH method is competent to simulate both single- and two-phase flows in the pipe due to its outstanding advantages in capturing complex interfaces; (ii) only when the upstream water level is higher than the top of the pipe inlet, and the water level in the pipe rises to the top of the pipe due to air resistance, can a full pipe flow be formed; and (iii) the presence of air can cause the water to form a full pipe flow, causing a siphon-like effect that promotes pipe drainage. These results provide insights into the underlying complex air–water hydraulic properties in pipe flows.
{"title":"Exploring the air impacts on the state development of pipe flow using the smooth particle hydrodynamic method","authors":"Zixuan Zheng, Xinwei Cai, Feifei Zheng, Xin Bian, Hongwu Tang, Saiyu Yuan, Yiyi Ma","doi":"10.2166/aqua.2024.260","DOIUrl":"https://doi.org/10.2166/aqua.2024.260","url":null,"abstract":"\u0000 \u0000 It is widely recognized that the water flow in pipes can be affected by trapped air pockets. However, the underlying air–water interactions of free flow with non-jacking downstream of the pipe are rarely investigated. There are no studies at this time that clearly elucidate the differences in pipe flow between the vacuum and the presence of air in the free flow case. To this end, the smoothed particle hydrodynamics (SPH) method is applied to study the air–water hydraulic dynamics in the pipe under free flow. We perform SPH simulations in several different scenarios and find that (i) the SPH method is competent to simulate both single- and two-phase flows in the pipe due to its outstanding advantages in capturing complex interfaces; (ii) only when the upstream water level is higher than the top of the pipe inlet, and the water level in the pipe rises to the top of the pipe due to air resistance, can a full pipe flow be formed; and (iii) the presence of air can cause the water to form a full pipe flow, causing a siphon-like effect that promotes pipe drainage. These results provide insights into the underlying complex air–water hydraulic properties in pipe flows.","PeriodicalId":513288,"journal":{"name":"AQUA — Water Infrastructure, Ecosystems and Society","volume":"5 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139851955","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}
It is widely recognized that the water flow in pipes can be affected by trapped air pockets. However, the underlying air–water interactions of free flow with non-jacking downstream of the pipe are rarely investigated. There are no studies at this time that clearly elucidate the differences in pipe flow between the vacuum and the presence of air in the free flow case. To this end, the smoothed particle hydrodynamics (SPH) method is applied to study the air–water hydraulic dynamics in the pipe under free flow. We perform SPH simulations in several different scenarios and find that (i) the SPH method is competent to simulate both single- and two-phase flows in the pipe due to its outstanding advantages in capturing complex interfaces; (ii) only when the upstream water level is higher than the top of the pipe inlet, and the water level in the pipe rises to the top of the pipe due to air resistance, can a full pipe flow be formed; and (iii) the presence of air can cause the water to form a full pipe flow, causing a siphon-like effect that promotes pipe drainage. These results provide insights into the underlying complex air–water hydraulic properties in pipe flows.
{"title":"Exploring the air impacts on the state development of pipe flow using the smooth particle hydrodynamic method","authors":"Zixuan Zheng, Xinwei Cai, Feifei Zheng, Xin Bian, Hongwu Tang, Saiyu Yuan, Yiyi Ma","doi":"10.2166/aqua.2024.260","DOIUrl":"https://doi.org/10.2166/aqua.2024.260","url":null,"abstract":"\u0000 \u0000 It is widely recognized that the water flow in pipes can be affected by trapped air pockets. However, the underlying air–water interactions of free flow with non-jacking downstream of the pipe are rarely investigated. There are no studies at this time that clearly elucidate the differences in pipe flow between the vacuum and the presence of air in the free flow case. To this end, the smoothed particle hydrodynamics (SPH) method is applied to study the air–water hydraulic dynamics in the pipe under free flow. We perform SPH simulations in several different scenarios and find that (i) the SPH method is competent to simulate both single- and two-phase flows in the pipe due to its outstanding advantages in capturing complex interfaces; (ii) only when the upstream water level is higher than the top of the pipe inlet, and the water level in the pipe rises to the top of the pipe due to air resistance, can a full pipe flow be formed; and (iii) the presence of air can cause the water to form a full pipe flow, causing a siphon-like effect that promotes pipe drainage. These results provide insights into the underlying complex air–water hydraulic properties in pipe flows.","PeriodicalId":513288,"journal":{"name":"AQUA — Water Infrastructure, Ecosystems and Society","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139792087","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}
E. Marku, Jonida Tahiraj, P. Lazo, S. Drushku, F. Qarri, A. Nuro, Bledar Myrtaj
Coastal areas are characterized by a high population and a wide range of industrial and agricultural activities, which puts them under high pressure and continuous pollution from anthropogenic activities. This research focuses on the application of HYDROLAB HL7 multiparameter sonde equipped with smart sensors for the measurement of physical–chemical parameters in marine waters in the Durrës Bay. The sonde is part of a transnational repository network that receives, stores, and analyzes data about seawater quality, serving as an early warning system for preventing the diffusion of marine pollution. This sophisticated instrument can thrive in demanding environmental conditions for long-term continuous monitoring. It maximizes deployment lifespan, and provides traceable data for high-quality, reliable monitoring of vital changes in water quality. Low variability on the measured parameters indicates a stable status in the water quality of the Durrës site. Time series revealed small seasonal variations on all parameters, except turbidity and water temperature. total dissolved solids, salinity, and electrical conductivity revealed similar temporal trends over the monitoring period by indicating strong relationships between them. The obtained data for the physical–chemical parameters in this study align with the recommended values. Ensuring water quality in the Durrës Bay requires advanced monitoring, regulatory measures, and community engagement.
{"title":"Application of a multiparameter sonde for real-time monitoring of seawater quality in Durrës Bay in Albania","authors":"E. Marku, Jonida Tahiraj, P. Lazo, S. Drushku, F. Qarri, A. Nuro, Bledar Myrtaj","doi":"10.2166/aqua.2024.327","DOIUrl":"https://doi.org/10.2166/aqua.2024.327","url":null,"abstract":"\u0000 \u0000 Coastal areas are characterized by a high population and a wide range of industrial and agricultural activities, which puts them under high pressure and continuous pollution from anthropogenic activities. This research focuses on the application of HYDROLAB HL7 multiparameter sonde equipped with smart sensors for the measurement of physical–chemical parameters in marine waters in the Durrës Bay. The sonde is part of a transnational repository network that receives, stores, and analyzes data about seawater quality, serving as an early warning system for preventing the diffusion of marine pollution. This sophisticated instrument can thrive in demanding environmental conditions for long-term continuous monitoring. It maximizes deployment lifespan, and provides traceable data for high-quality, reliable monitoring of vital changes in water quality. Low variability on the measured parameters indicates a stable status in the water quality of the Durrës site. Time series revealed small seasonal variations on all parameters, except turbidity and water temperature. total dissolved solids, salinity, and electrical conductivity revealed similar temporal trends over the monitoring period by indicating strong relationships between them. The obtained data for the physical–chemical parameters in this study align with the recommended values. Ensuring water quality in the Durrës Bay requires advanced monitoring, regulatory measures, and community engagement.","PeriodicalId":513288,"journal":{"name":"AQUA — Water Infrastructure, Ecosystems and Society","volume":"33 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139795608","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}
This study uses the network flow theory to optimize regional water resource allocation. In order to solve the problem of inefficient utilization of water resources with decentralized decision-making by different administrative units, a regional water resource networking and joint dispatching model with multi-objective nonlinear characteristics based on the network flow theory (hereinafter referred to as the network flow model) is constructed in the study. The network flow model was simulated and applied in the Xin-Sheng area of the Cao'e River, a tributary of the Qiantang River, and the results of the study showed that the network flow model scheduling increased significantly in fficiency compared with the current conventional scheduling, with an increase of 35.24 and 9.91% in the water resource utilization rate in the two typical years of 2019 and 2022, respectively, and showed that 2022, which has less rainfall, has a better effect than 2019. The study concludes that the network flow model can effectively improve the efficiency of water resource utilization, solve the problem of water resource imbalance between cities in the region, and play a positive role in the construction of the national water network.
{"title":"Research on the joint adjustment model of regional water resource network based on the network flow theory","authors":"Zhou Ye, Lin Ding, Zhisong Liu, Fang Chen","doi":"10.2166/aqua.2024.318","DOIUrl":"https://doi.org/10.2166/aqua.2024.318","url":null,"abstract":"\u0000 This study uses the network flow theory to optimize regional water resource allocation. In order to solve the problem of inefficient utilization of water resources with decentralized decision-making by different administrative units, a regional water resource networking and joint dispatching model with multi-objective nonlinear characteristics based on the network flow theory (hereinafter referred to as the network flow model) is constructed in the study. The network flow model was simulated and applied in the Xin-Sheng area of the Cao'e River, a tributary of the Qiantang River, and the results of the study showed that the network flow model scheduling increased significantly in fficiency compared with the current conventional scheduling, with an increase of 35.24 and 9.91% in the water resource utilization rate in the two typical years of 2019 and 2022, respectively, and showed that 2022, which has less rainfall, has a better effect than 2019. The study concludes that the network flow model can effectively improve the efficiency of water resource utilization, solve the problem of water resource imbalance between cities in the region, and play a positive role in the construction of the national water network.","PeriodicalId":513288,"journal":{"name":"AQUA — Water Infrastructure, Ecosystems and Society","volume":"1 3-4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139855024","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}
Urbanization is an inevitable process accompanying the economic development. However, the rapid urbanization process is posing a threat to aquatic communities and causing disruptions to river ecosystems. In highly urbanized river ecosystems, the mechanisms of human activities on the functional feeding groups (FFGs) of macroinvertebrates remain unclear, hindering the restoration of river ecosystems. This study focuses on an urban stream called the Yangmei River in Guangzhou and investigates environmental factors and macroinvertebrates in August and November 2022 and February and May 2023. Variance analysis, principal component analysis, and hierarchical cluster analysis were employed to research the temporal and spatial characteristics of FFGs. Redundancy analysis was used to explore the environmental factors influencing FFGs. Finally, ecosystem attributes were calculated based on FFG data and ratios. The results indicate that gathering-collectors dominate in the Yangmei River, leading to a transition toward a heterotrophic river system. Simultaneously, the damaged material transportation function, weakened riparian function, and poor habitat stability all reveal the fact of partial functional degradation of the Yangmei River. This study provides valuable insights into the overall functionality of the Yangmei River and contributes theoretical support for the application of FFG methods in the ecological assessment of highly urbanized rivers.
{"title":"Application of functional feeding groups of macroinvertebrates in highly urbanized streams","authors":"Xiaoming Peng, Xiangju Cheng, Dantong Zhu, Dong Huang","doi":"10.2166/aqua.2024.337","DOIUrl":"https://doi.org/10.2166/aqua.2024.337","url":null,"abstract":"\u0000 \u0000 Urbanization is an inevitable process accompanying the economic development. However, the rapid urbanization process is posing a threat to aquatic communities and causing disruptions to river ecosystems. In highly urbanized river ecosystems, the mechanisms of human activities on the functional feeding groups (FFGs) of macroinvertebrates remain unclear, hindering the restoration of river ecosystems. This study focuses on an urban stream called the Yangmei River in Guangzhou and investigates environmental factors and macroinvertebrates in August and November 2022 and February and May 2023. Variance analysis, principal component analysis, and hierarchical cluster analysis were employed to research the temporal and spatial characteristics of FFGs. Redundancy analysis was used to explore the environmental factors influencing FFGs. Finally, ecosystem attributes were calculated based on FFG data and ratios. The results indicate that gathering-collectors dominate in the Yangmei River, leading to a transition toward a heterotrophic river system. Simultaneously, the damaged material transportation function, weakened riparian function, and poor habitat stability all reveal the fact of partial functional degradation of the Yangmei River. This study provides valuable insights into the overall functionality of the Yangmei River and contributes theoretical support for the application of FFG methods in the ecological assessment of highly urbanized rivers.","PeriodicalId":513288,"journal":{"name":"AQUA — Water Infrastructure, Ecosystems and Society","volume":"31 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139856467","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}
This study uses the network flow theory to optimize regional water resource allocation. In order to solve the problem of inefficient utilization of water resources with decentralized decision-making by different administrative units, a regional water resource networking and joint dispatching model with multi-objective nonlinear characteristics based on the network flow theory (hereinafter referred to as the network flow model) is constructed in the study. The network flow model was simulated and applied in the Xin-Sheng area of the Cao'e River, a tributary of the Qiantang River, and the results of the study showed that the network flow model scheduling increased significantly in fficiency compared with the current conventional scheduling, with an increase of 35.24 and 9.91% in the water resource utilization rate in the two typical years of 2019 and 2022, respectively, and showed that 2022, which has less rainfall, has a better effect than 2019. The study concludes that the network flow model can effectively improve the efficiency of water resource utilization, solve the problem of water resource imbalance between cities in the region, and play a positive role in the construction of the national water network.
{"title":"Research on the joint adjustment model of regional water resource network based on the network flow theory","authors":"Zhou Ye, Lin Ding, Zhisong Liu, Fang Chen","doi":"10.2166/aqua.2024.318","DOIUrl":"https://doi.org/10.2166/aqua.2024.318","url":null,"abstract":"\u0000 This study uses the network flow theory to optimize regional water resource allocation. In order to solve the problem of inefficient utilization of water resources with decentralized decision-making by different administrative units, a regional water resource networking and joint dispatching model with multi-objective nonlinear characteristics based on the network flow theory (hereinafter referred to as the network flow model) is constructed in the study. The network flow model was simulated and applied in the Xin-Sheng area of the Cao'e River, a tributary of the Qiantang River, and the results of the study showed that the network flow model scheduling increased significantly in fficiency compared with the current conventional scheduling, with an increase of 35.24 and 9.91% in the water resource utilization rate in the two typical years of 2019 and 2022, respectively, and showed that 2022, which has less rainfall, has a better effect than 2019. The study concludes that the network flow model can effectively improve the efficiency of water resource utilization, solve the problem of water resource imbalance between cities in the region, and play a positive role in the construction of the national water network.","PeriodicalId":513288,"journal":{"name":"AQUA — Water Infrastructure, Ecosystems and Society","volume":"27 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139795170","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}
Urbanization is an inevitable process accompanying the economic development. However, the rapid urbanization process is posing a threat to aquatic communities and causing disruptions to river ecosystems. In highly urbanized river ecosystems, the mechanisms of human activities on the functional feeding groups (FFGs) of macroinvertebrates remain unclear, hindering the restoration of river ecosystems. This study focuses on an urban stream called the Yangmei River in Guangzhou and investigates environmental factors and macroinvertebrates in August and November 2022 and February and May 2023. Variance analysis, principal component analysis, and hierarchical cluster analysis were employed to research the temporal and spatial characteristics of FFGs. Redundancy analysis was used to explore the environmental factors influencing FFGs. Finally, ecosystem attributes were calculated based on FFG data and ratios. The results indicate that gathering-collectors dominate in the Yangmei River, leading to a transition toward a heterotrophic river system. Simultaneously, the damaged material transportation function, weakened riparian function, and poor habitat stability all reveal the fact of partial functional degradation of the Yangmei River. This study provides valuable insights into the overall functionality of the Yangmei River and contributes theoretical support for the application of FFG methods in the ecological assessment of highly urbanized rivers.
{"title":"Application of functional feeding groups of macroinvertebrates in highly urbanized streams","authors":"Xiaoming Peng, Xiangju Cheng, Dantong Zhu, Dong Huang","doi":"10.2166/aqua.2024.337","DOIUrl":"https://doi.org/10.2166/aqua.2024.337","url":null,"abstract":"\u0000 \u0000 Urbanization is an inevitable process accompanying the economic development. However, the rapid urbanization process is posing a threat to aquatic communities and causing disruptions to river ecosystems. In highly urbanized river ecosystems, the mechanisms of human activities on the functional feeding groups (FFGs) of macroinvertebrates remain unclear, hindering the restoration of river ecosystems. This study focuses on an urban stream called the Yangmei River in Guangzhou and investigates environmental factors and macroinvertebrates in August and November 2022 and February and May 2023. Variance analysis, principal component analysis, and hierarchical cluster analysis were employed to research the temporal and spatial characteristics of FFGs. Redundancy analysis was used to explore the environmental factors influencing FFGs. Finally, ecosystem attributes were calculated based on FFG data and ratios. The results indicate that gathering-collectors dominate in the Yangmei River, leading to a transition toward a heterotrophic river system. Simultaneously, the damaged material transportation function, weakened riparian function, and poor habitat stability all reveal the fact of partial functional degradation of the Yangmei River. This study provides valuable insights into the overall functionality of the Yangmei River and contributes theoretical support for the application of FFG methods in the ecological assessment of highly urbanized rivers.","PeriodicalId":513288,"journal":{"name":"AQUA — Water Infrastructure, Ecosystems and Society","volume":"136 5‐6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139796808","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}
E. Marku, Jonida Tahiraj, P. Lazo, S. Drushku, F. Qarri, A. Nuro, Bledar Myrtaj
Coastal areas are characterized by a high population and a wide range of industrial and agricultural activities, which puts them under high pressure and continuous pollution from anthropogenic activities. This research focuses on the application of HYDROLAB HL7 multiparameter sonde equipped with smart sensors for the measurement of physical–chemical parameters in marine waters in the Durrës Bay. The sonde is part of a transnational repository network that receives, stores, and analyzes data about seawater quality, serving as an early warning system for preventing the diffusion of marine pollution. This sophisticated instrument can thrive in demanding environmental conditions for long-term continuous monitoring. It maximizes deployment lifespan, and provides traceable data for high-quality, reliable monitoring of vital changes in water quality. Low variability on the measured parameters indicates a stable status in the water quality of the Durrës site. Time series revealed small seasonal variations on all parameters, except turbidity and water temperature. total dissolved solids, salinity, and electrical conductivity revealed similar temporal trends over the monitoring period by indicating strong relationships between them. The obtained data for the physical–chemical parameters in this study align with the recommended values. Ensuring water quality in the Durrës Bay requires advanced monitoring, regulatory measures, and community engagement.
{"title":"Application of a multiparameter sonde for real-time monitoring of seawater quality in Durrës Bay in Albania","authors":"E. Marku, Jonida Tahiraj, P. Lazo, S. Drushku, F. Qarri, A. Nuro, Bledar Myrtaj","doi":"10.2166/aqua.2024.327","DOIUrl":"https://doi.org/10.2166/aqua.2024.327","url":null,"abstract":"\u0000 \u0000 Coastal areas are characterized by a high population and a wide range of industrial and agricultural activities, which puts them under high pressure and continuous pollution from anthropogenic activities. This research focuses on the application of HYDROLAB HL7 multiparameter sonde equipped with smart sensors for the measurement of physical–chemical parameters in marine waters in the Durrës Bay. The sonde is part of a transnational repository network that receives, stores, and analyzes data about seawater quality, serving as an early warning system for preventing the diffusion of marine pollution. This sophisticated instrument can thrive in demanding environmental conditions for long-term continuous monitoring. It maximizes deployment lifespan, and provides traceable data for high-quality, reliable monitoring of vital changes in water quality. Low variability on the measured parameters indicates a stable status in the water quality of the Durrës site. Time series revealed small seasonal variations on all parameters, except turbidity and water temperature. total dissolved solids, salinity, and electrical conductivity revealed similar temporal trends over the monitoring period by indicating strong relationships between them. The obtained data for the physical–chemical parameters in this study align with the recommended values. Ensuring water quality in the Durrës Bay requires advanced monitoring, regulatory measures, and community engagement.","PeriodicalId":513288,"journal":{"name":"AQUA — Water Infrastructure, Ecosystems and Society","volume":"151 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139855364","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}
This research aims to quantify the spatial pattern of urban land use/land cover (LULC) change while considering environmental effects. This paper integrates historical Landsat imagery, a remote sensing image processing platform (ENVI), geographical information system (GIS), and socioeconomic data to determine the spatial–temporal urban LULC dynamics and the conversion of LULC in response to the rapid urbanization from 1992 to 2022. Principle component analysis and multiple linear regression are used to determine and model the relationship between the socioeconomic factors and the changes for identifying the driving forces. The results indicate that impervious surfaces have exponentially increased, expanding more than two times from 2,348 to 4,795 km2, in contrast to bare lands, which drastically declined by 95%, from 1,888 to 87 km2. Water bodies have always been relatively fewer, at approximately 100 km2. In addition, the majority of farmland in Jinan City is concentrated in the northern region with a steady area in the range of 2,100–2,900 km2, while the majority of woodland located in the southern region declined from 3,774.52 km2 (37%) to 3,088.28 km2 (30%). Economic development, population growth, and climate change are the primary factors that have an obvious impact on LULC changes.
{"title":"Analysis of land use/land cover changes and driving forces during the period 1992–2022: a case study of Jinan City, China","authors":"Lingye Tan, R. L. K. Tiong, Ziyang Zhang","doi":"10.2166/aqua.2024.311","DOIUrl":"https://doi.org/10.2166/aqua.2024.311","url":null,"abstract":"\u0000 This research aims to quantify the spatial pattern of urban land use/land cover (LULC) change while considering environmental effects. This paper integrates historical Landsat imagery, a remote sensing image processing platform (ENVI), geographical information system (GIS), and socioeconomic data to determine the spatial–temporal urban LULC dynamics and the conversion of LULC in response to the rapid urbanization from 1992 to 2022. Principle component analysis and multiple linear regression are used to determine and model the relationship between the socioeconomic factors and the changes for identifying the driving forces. The results indicate that impervious surfaces have exponentially increased, expanding more than two times from 2,348 to 4,795 km2, in contrast to bare lands, which drastically declined by 95%, from 1,888 to 87 km2. Water bodies have always been relatively fewer, at approximately 100 km2. In addition, the majority of farmland in Jinan City is concentrated in the northern region with a steady area in the range of 2,100–2,900 km2, while the majority of woodland located in the southern region declined from 3,774.52 km2 (37%) to 3,088.28 km2 (30%). Economic development, population growth, and climate change are the primary factors that have an obvious impact on LULC changes.","PeriodicalId":513288,"journal":{"name":"AQUA — Water Infrastructure, Ecosystems and Society","volume":"301 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139858439","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}
This research aims to quantify the spatial pattern of urban land use/land cover (LULC) change while considering environmental effects. This paper integrates historical Landsat imagery, a remote sensing image processing platform (ENVI), geographical information system (GIS), and socioeconomic data to determine the spatial–temporal urban LULC dynamics and the conversion of LULC in response to the rapid urbanization from 1992 to 2022. Principle component analysis and multiple linear regression are used to determine and model the relationship between the socioeconomic factors and the changes for identifying the driving forces. The results indicate that impervious surfaces have exponentially increased, expanding more than two times from 2,348 to 4,795 km2, in contrast to bare lands, which drastically declined by 95%, from 1,888 to 87 km2. Water bodies have always been relatively fewer, at approximately 100 km2. In addition, the majority of farmland in Jinan City is concentrated in the northern region with a steady area in the range of 2,100–2,900 km2, while the majority of woodland located in the southern region declined from 3,774.52 km2 (37%) to 3,088.28 km2 (30%). Economic development, population growth, and climate change are the primary factors that have an obvious impact on LULC changes.
{"title":"Analysis of land use/land cover changes and driving forces during the period 1992–2022: a case study of Jinan City, China","authors":"Lingye Tan, R. L. K. Tiong, Ziyang Zhang","doi":"10.2166/aqua.2024.311","DOIUrl":"https://doi.org/10.2166/aqua.2024.311","url":null,"abstract":"\u0000 This research aims to quantify the spatial pattern of urban land use/land cover (LULC) change while considering environmental effects. This paper integrates historical Landsat imagery, a remote sensing image processing platform (ENVI), geographical information system (GIS), and socioeconomic data to determine the spatial–temporal urban LULC dynamics and the conversion of LULC in response to the rapid urbanization from 1992 to 2022. Principle component analysis and multiple linear regression are used to determine and model the relationship between the socioeconomic factors and the changes for identifying the driving forces. The results indicate that impervious surfaces have exponentially increased, expanding more than two times from 2,348 to 4,795 km2, in contrast to bare lands, which drastically declined by 95%, from 1,888 to 87 km2. Water bodies have always been relatively fewer, at approximately 100 km2. In addition, the majority of farmland in Jinan City is concentrated in the northern region with a steady area in the range of 2,100–2,900 km2, while the majority of woodland located in the southern region declined from 3,774.52 km2 (37%) to 3,088.28 km2 (30%). Economic development, population growth, and climate change are the primary factors that have an obvious impact on LULC changes.","PeriodicalId":513288,"journal":{"name":"AQUA — Water Infrastructure, Ecosystems and Society","volume":"2 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139798714","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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