Pub Date : 2024-05-29DOI: 10.1186/s40068-024-00349-4
Katherine Thomas
Correction: Environmental Systems Research (2023) 12:23 https://doi.org/10.1186/s40068-023-00309-4
In this article (Thomas 2023), there has been an omission in the acknowledgements of an Elder (Joan Slade) of the communities and a word space was missing for the following two terms (occupied Country and active Country).
The revised acknowledgement is given below:
The Indigenous Cultural and Intellectual Property (ICIP) within this project was developed through ongoing consultation with the Aboriginal Advisory Group (AAG) of the Willandra Lakes Region World Heritage Area (WLRWHA). ICIP protocols from the AAG governed the project development, approvals, and delivery of any published material. A deep gratitude to owed to the Paakantji (Barkindji), Mutthi Mutthi, and Ngyiampaa communities for sharing oral testimonies, enabling research on their homelands, and supporting our work. Further acknowledgements are to NSW Parks staff and individual community members (past and present): Jo McDonald, Harvey Johnson, Dan Rosendahl, Daryl Pappin, Leanne Mitchell, Tanya Charles, Ernie Mitchell, Ernest Mitchell, Ivan Johnson, Roy Kennedy, Rob Kelly, Kenny Clark, Maureen Taylor, Dawn Smith, Jean Charles, Mary Pappin, Bernadette Pappin, Patsy Winch, Coral Ellis, Joan Slade, and Lottie Williams. Specific acknowledgements also are given to Jeannette Hope, Rudy Frank, Wakefield family, Elizabeth Foley, Brian Armstrong, Lana Tranter-Edwards, Caroline Bandurski, David Crotty, Caroline Spry, Rebekah Kurpiel, Jacqui Tumney, Nathan Jankowski, John Miller, and Nicola Barnes for their help with the development of this project, either through fieldwork or discussions. The research within this article was supported by the La Trobe Internal Research Grant Scheme (IRGS), La Trobe Transforming Human Societies’ PhD scholarship, APA PhD scholarship, and funding from the overarching Mungo Archaeology Project (MAP), headed by Chief Investigator Associate Professor Nicola Stern (ARC-Linkage Project (LP0775058), Environmental Evolution of the Willandra Lakes World Heritage Area, 2007–2009; ARC Discovery Project (DP1092966), Human Responses to Long Term Landscape and Climate Change, 2010–2014). Substantive discussions were also had with my supervisors and acknowledgements must go to my primary supervisors—Assoc. Prof Nicola Stern and Dr Mal Ridges—and secondary supervisor: Dr Matt Meredith-Williams.
Thomas K (2023) Biocultural mapping: unpacking the myth of an unsuitable Country in the arid zone, Willandra Lakes Region World Heritage Area, Australia. Environ Syst Res 12:23. https://doi.org/10.1186/s40068-023-00309-4
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Authors and Affiliatio
更正:Environmental Systems Research (2023) 12:23 https://doi.org/10.1186/s40068-023-00309-4In 这篇文章(Thomas 2023)的致谢中遗漏了社区的一位长老(Joan Slade),以下两个术语(被占领的国家和活跃的国家)也少了一个空格。修订后的致谢如下:本项目中的土著文化和知识产权(ICIP)是通过与威兰德拉湖区世界遗产区(WLRWHA)的土著顾问组(AAG)不断协商制定的。原住民咨询小组的 ICIP 协议对项目开发、审批和任何出版材料的交付进行了规范。衷心感谢 Paakantji (Barkindji)、Mutthi Mutthi 和 Ngyiampaa 社区分享口述证词,允许在他们的家园进行研究,并支持我们的工作。此外,我们还要感谢新南威尔士州公园工作人员和个别社区成员(过去和现在):Jo McDonald、Harvey Johnson、Dan Rosendahl、Daryl Pappin、Leanne Mitchell、Tanya Charles、Ernie Mitchell、Ernest Mitchell、Ivan Johnson、Roy Kennedy、Rob Kelly、Kenny Clark、Maureen Taylor、Dawn Smith、Jean Charles、Mary Pappin、Bernadette Pappin、Patsy Winch、Coral Ellis、Joan Slade 和 Lottie Williams。本文中的研究得到了拉筹伯内部研究补助金计划(IRGS)、拉筹伯改造人类社会博士奖学金、APA博士奖学金以及由首席研究员尼古拉-斯特恩副教授领导的蒙哥考古项目(MAP)的资助(ARC-Linkage项目(LP0775058),威兰德拉湖世界遗产区的环境演变,2007-2009年;ARC 发现项目(DP1092966),人类对长期景观和气候变化的反应,2010-2014 年)。我还与我的导师进行了实质性的讨论,在此必须向我的主要导师--Nicola Stern 副教授和 Mal Ridges 博士--以及次要导师表示感谢:Thomas K (2023) Biocultural mapping: unpacking the myth of an unsuitable Country in the arid zone, Willandra Lakes Region World Heritage Area, Australia.Environ Syst Res 12:23. https://doi.org/10.1186/s40068-023-00309-4Article Google Scholar Download references作者和工作单位墨尔本大学工程与信息技术学院荣誉研究员,墨尔本 Connect, 700 Swanston St、Carlton, Melbourne, AustraliaKatherine ThomasAdjunct Research Fellow, Department of Archaeology and History, La Trobe University, Melbourne, AustraliaKatherine ThomasAuthorsKatherine ThomasView author publications您也可以在 PubMed Google ScholarCorresponding authorCorrespondence to Katherine Thomas.Publisher's NoteSpringer Nature 对出版地图中的管辖权主张和机构隶属关系保持中立。开放获取 本文采用知识共享署名 4.0 国际许可协议进行许可,该协议允许以任何媒介或格式使用、共享、改编、分发和复制,只要您适当注明原作者和来源,提供知识共享许可协议的链接,并说明是否进行了修改。本文中的图片或其他第三方材料均包含在文章的知识共享许可协议中,除非在材料的署名栏中另有说明。如果材料未包含在文章的知识共享许可协议中,且您打算使用的材料不符合法律规定或超出许可使用范围,您需要直接从版权所有者处获得许可。要查看该许可的副本,请访问 http://creativecommons.org/licenses/by/4.0/.Reprints and permissionsCite this articleThomas, K. Correction:生物文化绘图:揭开澳大利亚威兰德拉湖区世界遗产区干旱地带不适宜国家的神话。Environ Syst Res 13, 19 (2024). https://doi.org/10.1186/s40068-024-00349-4Download citationAccepted: 21 May 2024Published: 29 May 2024DOI: https://doi.org/10.1186/s40068-024-00349-4Share this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy to clipboard Provided by the Springer Nature SharedIt content-sharing initiative.
{"title":"Correction: Biocultural mapping: unpacking the myth of an unsuitable Country in the arid zone, Willandra Lakes Region World Heritage Area, Australia","authors":"Katherine Thomas","doi":"10.1186/s40068-024-00349-4","DOIUrl":"https://doi.org/10.1186/s40068-024-00349-4","url":null,"abstract":"<br/><p><b>Correction: Environmental Systems Research (2023) 12:23 </b><b>https://doi.org/10.1186/s40068-023-00309-4</b></p><br/><p>In this article (Thomas 2023), there has been an omission in the acknowledgements of an Elder (Joan Slade) of the communities and a word space was missing for the following two terms (occupied Country and active Country).</p><br/><p>The revised acknowledgement is given below:</p><p>The Indigenous Cultural and Intellectual Property (ICIP) within this project was developed through ongoing consultation with the Aboriginal Advisory Group (AAG) of the Willandra Lakes Region World Heritage Area (WLRWHA). ICIP protocols from the AAG governed the project development, approvals, and delivery of any published material. A deep gratitude to owed to the Paakantji (Barkindji), Mutthi Mutthi, and Ngyiampaa communities for sharing oral testimonies, enabling research on their homelands, and supporting our work. Further acknowledgements are to NSW Parks staff and individual community members (past and present): Jo McDonald, Harvey Johnson, Dan Rosendahl, Daryl Pappin, Leanne Mitchell, Tanya Charles, Ernie Mitchell, Ernest Mitchell, Ivan Johnson, Roy Kennedy, Rob Kelly, Kenny Clark, Maureen Taylor, Dawn Smith, Jean Charles, Mary Pappin, Bernadette Pappin, Patsy Winch, Coral Ellis, Joan Slade, and Lottie Williams. Specific acknowledgements also are given to Jeannette Hope, Rudy Frank, Wakefield family, Elizabeth Foley, Brian Armstrong, Lana Tranter-Edwards, Caroline Bandurski, David Crotty, Caroline Spry, Rebekah Kurpiel, Jacqui Tumney, Nathan Jankowski, John Miller, and Nicola Barnes for their help with the development of this project, either through fieldwork or discussions. The research within this article was supported by the La Trobe Internal Research Grant Scheme (IRGS), La Trobe Transforming Human Societies’ PhD scholarship, APA PhD scholarship, and funding from the overarching Mungo Archaeology Project (MAP), headed by Chief Investigator Associate Professor Nicola Stern (ARC-Linkage Project (LP0775058), Environmental Evolution of the Willandra Lakes World Heritage Area, 2007–2009; ARC Discovery Project (DP1092966), Human Responses to Long Term Landscape and Climate Change, 2010–2014). Substantive discussions were also had with my supervisors and acknowledgements must go to my primary supervisors—Assoc. Prof Nicola Stern and Dr Mal Ridges—and secondary supervisor: Dr Matt Meredith-Williams.</p><ul data-track-component=\"outbound reference\"><li><p>Thomas K (2023) Biocultural mapping: unpacking the myth of an unsuitable Country in the arid zone, Willandra Lakes Region World Heritage Area, Australia. Environ Syst Res 12:23. https://doi.org/10.1186/s40068-023-00309-4</p><p>Article Google Scholar </p></li></ul><p>Download references<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></p><h3>Authors and Affiliatio","PeriodicalId":12037,"journal":{"name":"Environmental Systems Research","volume":"98 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141191956","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 : 2024-05-28DOI: 10.1186/s40068-024-00342-x
Hairong Du, Xiaoling Zhu, Yunying Yao, Wei Yao
Neonicotinoid insecticides (NNIs), as a new type of insecticide, are widely used in agriculture and daily life. Because of the low volatility of NNIs, few studies have evaluated them in atmospheric particulate matter. In this study, 101 outdoor PM2.5 samples were collected from the Wuhan urban area from 2019 to 2021, leading to the detection of seven NNIs and three of their metabolites. The detection frequencies of all 10 substances were more than 60%, with DIN (dinotefuran) and IMI (imidacloprid) reaching 100%. DIN (52.4 pg/m3) and IMI (43.0 pg/m3) had higher median concentrations than other substances. Concentration distributions of the four substances ACE (acetamiprid), DIN, IMI, and 5-OH-IMI (5-Hydro-Imidacloprid) exhibited statistically significant differences (P < 0.05) across the four seasons. Concentration levels of ACE, CLO (clothianidin), and IMI were statistically different between the three years (P < 0.05). The median concentration of imidacloprid-equivalent total neonicotinoids (IMIeq: generated by the relative potency factor method) was 256.1 pg/m3. Finally, the estimated daily intake (EDI) of NNIs via respiration was greater in infants and young children than in the rest of the population, suggesting that infants and young children were more likely to be exposed to the health effects of airborne residual PM2.5.
{"title":"Occurrence and inhalation health risk of neonicotinoid pesticides in outdoor air particulate matters from 2019 to 2021 in China","authors":"Hairong Du, Xiaoling Zhu, Yunying Yao, Wei Yao","doi":"10.1186/s40068-024-00342-x","DOIUrl":"https://doi.org/10.1186/s40068-024-00342-x","url":null,"abstract":"Neonicotinoid insecticides (NNIs), as a new type of insecticide, are widely used in agriculture and daily life. Because of the low volatility of NNIs, few studies have evaluated them in atmospheric particulate matter. In this study, 101 outdoor PM2.5 samples were collected from the Wuhan urban area from 2019 to 2021, leading to the detection of seven NNIs and three of their metabolites. The detection frequencies of all 10 substances were more than 60%, with DIN (dinotefuran) and IMI (imidacloprid) reaching 100%. DIN (52.4 pg/m3) and IMI (43.0 pg/m3) had higher median concentrations than other substances. Concentration distributions of the four substances ACE (acetamiprid), DIN, IMI, and 5-OH-IMI (5-Hydro-Imidacloprid) exhibited statistically significant differences (P < 0.05) across the four seasons. Concentration levels of ACE, CLO (clothianidin), and IMI were statistically different between the three years (P < 0.05). The median concentration of imidacloprid-equivalent total neonicotinoids (IMIeq: generated by the relative potency factor method) was 256.1 pg/m3. Finally, the estimated daily intake (EDI) of NNIs via respiration was greater in infants and young children than in the rest of the population, suggesting that infants and young children were more likely to be exposed to the health effects of airborne residual PM2.5.","PeriodicalId":12037,"journal":{"name":"Environmental Systems Research","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141169715","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 : 2024-05-27DOI: 10.1186/s40068-024-00348-5
Paidamwoyo Mhangara, Eskinder Gidey, Rabia Manjoo
Over half of the world’s population resides in urban areas. We anticipate that this pattern will become more evident, notably in South Africa. Therefore, research on urban spirals, both past and projected, is necessary for efficient urban land use planning and management. This study aims to assess the spatio-temporal urban sprawl dynamics from 2003 to 2033 in Mbombela, South Africa. We employed robust approaches such as machine learning, the cellular automata-Markov chain, and the Shannon entropy model to look at how urban sprawl changes over time using both the Landsat 4–5 Thematic Mapper and the 8 Operational Land Imagers. We conducted this study to bridge the gaps in existing research, which primarily focuses on past and current urban growth trends rather than future trends. The findings indicated that the coverage of built-up areas and vegetation has expanded by 1.98 km2 and 13.23 km2 between the years 2003 and 2023. On the other hand, the amount of land continues to decrease by -12.56 km2 and − 2.65 km2 annually, respectively. We anticipate an increase in the built-up area and vegetation to a total of 7.60 km2 and 0.57 km2, respectively, by the year 2033. We anticipate a total annual decline of -7.78 km2 and − 0.39 km2 in water bodies and open land coverage, respectively. This work has the potential to assist planners and policymakers in improving sustainable urban land-use planning.
{"title":"Analysis of urban sprawl dynamics using machine learning, CA-Markov chain, and the Shannon entropy model: a case study in Mbombela City, South Africa","authors":"Paidamwoyo Mhangara, Eskinder Gidey, Rabia Manjoo","doi":"10.1186/s40068-024-00348-5","DOIUrl":"https://doi.org/10.1186/s40068-024-00348-5","url":null,"abstract":"Over half of the world’s population resides in urban areas. We anticipate that this pattern will become more evident, notably in South Africa. Therefore, research on urban spirals, both past and projected, is necessary for efficient urban land use planning and management. This study aims to assess the spatio-temporal urban sprawl dynamics from 2003 to 2033 in Mbombela, South Africa. We employed robust approaches such as machine learning, the cellular automata-Markov chain, and the Shannon entropy model to look at how urban sprawl changes over time using both the Landsat 4–5 Thematic Mapper and the 8 Operational Land Imagers. We conducted this study to bridge the gaps in existing research, which primarily focuses on past and current urban growth trends rather than future trends. The findings indicated that the coverage of built-up areas and vegetation has expanded by 1.98 km2 and 13.23 km2 between the years 2003 and 2023. On the other hand, the amount of land continues to decrease by -12.56 km2 and − 2.65 km2 annually, respectively. We anticipate an increase in the built-up area and vegetation to a total of 7.60 km2 and 0.57 km2, respectively, by the year 2033. We anticipate a total annual decline of -7.78 km2 and − 0.39 km2 in water bodies and open land coverage, respectively. This work has the potential to assist planners and policymakers in improving sustainable urban land-use planning.","PeriodicalId":12037,"journal":{"name":"Environmental Systems Research","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141169865","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 : 2024-05-19DOI: 10.1186/s40068-024-00344-9
Semen Bekele Gunjo, D. Guta, Shimeles Damene
{"title":"Modeling the economic cost of congestion in Addis Ababa City, Ethiopia","authors":"Semen Bekele Gunjo, D. Guta, Shimeles Damene","doi":"10.1186/s40068-024-00344-9","DOIUrl":"https://doi.org/10.1186/s40068-024-00344-9","url":null,"abstract":"","PeriodicalId":12037,"journal":{"name":"Environmental Systems Research","volume":"118 16","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2024-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141124359","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}
Climate models are fundamental tools to estimates the reliable future climate change and its effects on the water resources and agriculture in basins. However, all climate models are not equally performed for all areas. Therefore, determining the most appropriate climate models for a specific study area is essential. The focus of this study was to evaluate the performance of the regional climate models with regard to simulating precipitation, and temperatures at Katar watershed. This study examines the performance of fourteen CORDEX-AFRICA-220 Regional Climate Models (RCMs) for the period of 1984–2005 using statistical metrics such as Pearson correlation coefficient (R), mean absolute error (MAE), root mean squared error (RMSE), and bias. The findings indicated that GERICS-MPI was better performed in representing Areta, and Bokoji station, GERICS-IPSL was better representing in Assela, Ketergenet, and Sagure station, CCCma-CanESM2-AFR22, and RCA4-ICHEC performed relatively better in representing the mean annual observed rainfall at the Kulumsa, and Ogolcho station respectively. However, RCA4-CSIRO performed weakly in estimation of annual rainfall at all stations. RCM model such as GERICS-MPI was relatively better than the others in replicating the annual pattern of the maximum temperature at Areta, Bokoji, and Ketergenet stations. Similarly, GERICS-IPSL were relatively better in replicating the annual maximum temperature at Assela, and Sagure stations, CCCma-CanESM2-AFR22 at Kulumsa station, and RCA4-ICHEC at Ogolcho station performed well in capturing the observed and simulated annual maximum temperature. Better performance was observed on minimum temperature at CCCma-CanESM2-AFR22 at Areta, Assela, and Ketergenet stations, GERICS-MOHE-AFR-22 at Bokoji station, GERICS-MPI at Kulumsa, and Ogolcho stations, RAC4-NOAA-2G at Sagure stations. However, weak performance was observed RCA4-CSIRO at all stations. RCM models of GERICS-MPI, and CCLM4-NCC-AFR-22 performed better than the other RCM models for correction of annual rainfall in Katar watershed. However, poor performance was observed at RCA4-ICHEC model on Katar watershed. The GERICS-MPI model performed well. However, poor performance was observed at RCA4-ICHEC on maximum temperature, and GERICS-NOAA-2M on minimum temperature in Katar watershed.
{"title":"Performance evaluation of varies climate models using observed and regional climate models for the Katar Watershed, Ethiopia","authors":"Babur Tesfaye Yersaw, Mulusew Bezabih Chane, Natnael Andualem Yitayew","doi":"10.1186/s40068-024-00345-8","DOIUrl":"https://doi.org/10.1186/s40068-024-00345-8","url":null,"abstract":"Climate models are fundamental tools to estimates the reliable future climate change and its effects on the water resources and agriculture in basins. However, all climate models are not equally performed for all areas. Therefore, determining the most appropriate climate models for a specific study area is essential. The focus of this study was to evaluate the performance of the regional climate models with regard to simulating precipitation, and temperatures at Katar watershed. This study examines the performance of fourteen CORDEX-AFRICA-220 Regional Climate Models (RCMs) for the period of 1984–2005 using statistical metrics such as Pearson correlation coefficient (R), mean absolute error (MAE), root mean squared error (RMSE), and bias. The findings indicated that GERICS-MPI was better performed in representing Areta, and Bokoji station, GERICS-IPSL was better representing in Assela, Ketergenet, and Sagure station, CCCma-CanESM2-AFR22, and RCA4-ICHEC performed relatively better in representing the mean annual observed rainfall at the Kulumsa, and Ogolcho station respectively. However, RCA4-CSIRO performed weakly in estimation of annual rainfall at all stations. RCM model such as GERICS-MPI was relatively better than the others in replicating the annual pattern of the maximum temperature at Areta, Bokoji, and Ketergenet stations. Similarly, GERICS-IPSL were relatively better in replicating the annual maximum temperature at Assela, and Sagure stations, CCCma-CanESM2-AFR22 at Kulumsa station, and RCA4-ICHEC at Ogolcho station performed well in capturing the observed and simulated annual maximum temperature. Better performance was observed on minimum temperature at CCCma-CanESM2-AFR22 at Areta, Assela, and Ketergenet stations, GERICS-MOHE-AFR-22 at Bokoji station, GERICS-MPI at Kulumsa, and Ogolcho stations, RAC4-NOAA-2G at Sagure stations. However, weak performance was observed RCA4-CSIRO at all stations. RCM models of GERICS-MPI, and CCLM4-NCC-AFR-22 performed better than the other RCM models for correction of annual rainfall in Katar watershed. However, poor performance was observed at RCA4-ICHEC model on Katar watershed. The GERICS-MPI model performed well. However, poor performance was observed at RCA4-ICHEC on maximum temperature, and GERICS-NOAA-2M on minimum temperature in Katar watershed.","PeriodicalId":12037,"journal":{"name":"Environmental Systems Research","volume":"95 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140929709","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 : 2024-05-10DOI: 10.1186/s40068-024-00346-7
Leila Rahmati, Toktam Hanaei
This paper analyzed the role of national economic factors, in addition to some key city-level variables, in the variation of the urban green space (UGS) in Mashhad City (Iran) during three decades (1998–2018). The correlation result revealed the effects of the increasing trend of land price, population rate, and construction of built-up areas in the decreasing trend of UGS in the study area (R from − 0.95 to -0.99 at p-value > 95%). Also, the country-level economic factors, i.e., GDP per capita, oil price, export total value, and FDI, represented the overall increasing trend from 1988 to 2018, correlating with the decrease of green space areas (R from − 0.76 to -0.92 at p-value > 75%). Some statistical analyses, such as the run-test, the skewness and kurtosis tests, the Kolmogorov-Smirnov test, and the ANOVA test were done to confirm the normality of the data distribution and reliability of the results. Ultimately, clustering the research variables based on the significance and confidence levels of the estimated correlation results revealed that the change in the oil price and national export values in the petroleum-dependent economy of Iran can be assumed as the lead key economic factors to fluctuate all city-level variables, particularly the UGS variations.
{"title":"Comparative analysis of key factors influencing urban green space in Mashhad, Iran (1988–2018)","authors":"Leila Rahmati, Toktam Hanaei","doi":"10.1186/s40068-024-00346-7","DOIUrl":"https://doi.org/10.1186/s40068-024-00346-7","url":null,"abstract":"This paper analyzed the role of national economic factors, in addition to some key city-level variables, in the variation of the urban green space (UGS) in Mashhad City (Iran) during three decades (1998–2018). The correlation result revealed the effects of the increasing trend of land price, population rate, and construction of built-up areas in the decreasing trend of UGS in the study area (R from − 0.95 to -0.99 at p-value > 95%). Also, the country-level economic factors, i.e., GDP per capita, oil price, export total value, and FDI, represented the overall increasing trend from 1988 to 2018, correlating with the decrease of green space areas (R from − 0.76 to -0.92 at p-value > 75%). Some statistical analyses, such as the run-test, the skewness and kurtosis tests, the Kolmogorov-Smirnov test, and the ANOVA test were done to confirm the normality of the data distribution and reliability of the results. Ultimately, clustering the research variables based on the significance and confidence levels of the estimated correlation results revealed that the change in the oil price and national export values in the petroleum-dependent economy of Iran can be assumed as the lead key economic factors to fluctuate all city-level variables, particularly the UGS variations.","PeriodicalId":12037,"journal":{"name":"Environmental Systems Research","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140929708","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 : 2024-04-16DOI: 10.1186/s40068-024-00341-y
Shadnoush Pashaei, Chunjiang An
Greenhouse gases (GHGs) can be produced from a broad range of anthropogenic activities at different spatial and temporal scales. In particular, emissions from urban area are an import source of GHGs. City is a complicated system consisting of various component and processes. Efforts have been made to reduce urban GHG emissions. However, there is a lack of available methods for effective assessment of such emissions. Many urban sources and factors which can influence the emissions are still unknown. In the present study, the GHG emissions from municipal activities was assessed. A model for the assessment of urban GHG emissions was developed. Based on the collected data, a case study was conducted to evaluate urban GHG emissions. The comprehensive assessment included the emissions from transportation, electricity consumption, natural gas, waste disposal, and wastewater treatment. There was a variation for GHG emissions from these sectors in different years. This study provided a new approach for comprehensive evaluation of urban GHG emissions. The results can help better understand the emission process and identify the major emission sources.
{"title":"Assessment of urban greenhouse gas emissions towards reduction planning and low-carbon city: a case study of Montreal, Canada","authors":"Shadnoush Pashaei, Chunjiang An","doi":"10.1186/s40068-024-00341-y","DOIUrl":"https://doi.org/10.1186/s40068-024-00341-y","url":null,"abstract":"Greenhouse gases (GHGs) can be produced from a broad range of anthropogenic activities at different spatial and temporal scales. In particular, emissions from urban area are an import source of GHGs. City is a complicated system consisting of various component and processes. Efforts have been made to reduce urban GHG emissions. However, there is a lack of available methods for effective assessment of such emissions. Many urban sources and factors which can influence the emissions are still unknown. In the present study, the GHG emissions from municipal activities was assessed. A model for the assessment of urban GHG emissions was developed. Based on the collected data, a case study was conducted to evaluate urban GHG emissions. The comprehensive assessment included the emissions from transportation, electricity consumption, natural gas, waste disposal, and wastewater treatment. There was a variation for GHG emissions from these sectors in different years. This study provided a new approach for comprehensive evaluation of urban GHG emissions. The results can help better understand the emission process and identify the major emission sources.","PeriodicalId":12037,"journal":{"name":"Environmental Systems Research","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140578421","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 : 2024-04-05DOI: 10.1186/s40068-024-00331-0
Hoang Huu Dinh, Shyam Basnet, Alec Zuo
Household land use decisions in the tropics have a wide range of outcomes and impacts on economic development, environmental conservation, and social development. This study seeks to contribute to this debate by examining the effects of tree planting on poverty alleviation and welfare improvement in Vietnam. We employ a combination of multinomial endogenous treatment effect and propensity score matching, using survey data collected from 239 households in 11 communes in Vietnam’s Central Highlands region. We find that households engaged in tree planting can increase their income and alleviate poverty compared to non-engaging households. Specifically, long-term cashew plantations provide early harvests and have proven to be a preferred crop for households dealing with immediate livelihood needs. However, short-term acacia timber crops contribute insignificantly to poverty reduction and may be more suitable for households with greater financial resources. The policy implication underscores the importance of interventions tailored to support impoverished households with urgent livelihood needs. Prioritizing immediate necessities is crucial before households can invest in long-term tree planting.
{"title":"Impact of tree planting on household well-being: evidence from the central highlands of Vietnam","authors":"Hoang Huu Dinh, Shyam Basnet, Alec Zuo","doi":"10.1186/s40068-024-00331-0","DOIUrl":"https://doi.org/10.1186/s40068-024-00331-0","url":null,"abstract":"Household land use decisions in the tropics have a wide range of outcomes and impacts on economic development, environmental conservation, and social development. This study seeks to contribute to this debate by examining the effects of tree planting on poverty alleviation and welfare improvement in Vietnam. We employ a combination of multinomial endogenous treatment effect and propensity score matching, using survey data collected from 239 households in 11 communes in Vietnam’s Central Highlands region. We find that households engaged in tree planting can increase their income and alleviate poverty compared to non-engaging households. Specifically, long-term cashew plantations provide early harvests and have proven to be a preferred crop for households dealing with immediate livelihood needs. However, short-term acacia timber crops contribute insignificantly to poverty reduction and may be more suitable for households with greater financial resources. The policy implication underscores the importance of interventions tailored to support impoverished households with urgent livelihood needs. Prioritizing immediate necessities is crucial before households can invest in long-term tree planting.","PeriodicalId":12037,"journal":{"name":"Environmental Systems Research","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140578318","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 : 2024-03-26DOI: 10.1186/s40068-024-00340-z
Babur Tesfaye Yersaw, Mulusew Bezabih Chane
Systematic errors in regional climate models (RCMs) hinder their implementation and lead to uncertainties in regional hydrological climate change studies. As a result, checking the accuracy of climate model simulations and applying bias correction are preliminary methods for achieving consistent findings. Therefore, identifying suitable RCM models for bias correction is important for providing reliable inputs for evaluating climate change impacts. The impacts of bias correction methods on streamflow were assessed on the Katar catchment within the Lake Ziway subbasin using coordinated regional climate downscaling experiments with a spatial resolution of 50 km (CORDEX-44) RCMs through the Integrated Hydrological Modelling System (IHMS) version 6.3. This study evaluated fourteen RCM models under five precipitation and three temperature bias correction methods for the Katar catchment. Statistical approaches, such as bias (PBIAS), the root mean square error (RMSE), the mean absolute error (MAE), the coefficient of variation (CV), the coefficient of determination (R2), and the relative volume error (RVE), are used for performance analysis. GERICS-MPI, RAC4-NOAA-2G, and CCLM4-NCCR-AFR-22 have better performances for both rainfall and temprature. The empirical cumulative distribution function (ECDF) method performed best in removing bias from the frequency-based statistics of rainfall and streamflow, followed by the power transformation (PT), distribution mapping (DM), local intensity scaling (LOCI), and linear scaling (LS) methods. Specifically, for temperature, the VARI and DM methods perform better in frequency-based statistics than the LS method. The performance of hydrological modeling is strongly affected by the selection of rainfall bias correction methods. In addition, the effect of the temperature bias correction method was not significant. The adequacy of the BCM depends on the RCM models and regional context. Therefore, the BCM implementation procedure can be adapted from region to region. This study revealed that the performance of the RCM models differed and that the errors in the RCM model outputs were reduced by the use of bias correction methods.
{"title":"Regional climate models and bias correction methods for rainfall-runoff modeling in Katar watershed, Ethiopia","authors":"Babur Tesfaye Yersaw, Mulusew Bezabih Chane","doi":"10.1186/s40068-024-00340-z","DOIUrl":"https://doi.org/10.1186/s40068-024-00340-z","url":null,"abstract":"Systematic errors in regional climate models (RCMs) hinder their implementation and lead to uncertainties in regional hydrological climate change studies. As a result, checking the accuracy of climate model simulations and applying bias correction are preliminary methods for achieving consistent findings. Therefore, identifying suitable RCM models for bias correction is important for providing reliable inputs for evaluating climate change impacts. The impacts of bias correction methods on streamflow were assessed on the Katar catchment within the Lake Ziway subbasin using coordinated regional climate downscaling experiments with a spatial resolution of 50 km (CORDEX-44) RCMs through the Integrated Hydrological Modelling System (IHMS) version 6.3. This study evaluated fourteen RCM models under five precipitation and three temperature bias correction methods for the Katar catchment. Statistical approaches, such as bias (PBIAS), the root mean square error (RMSE), the mean absolute error (MAE), the coefficient of variation (CV), the coefficient of determination (R2), and the relative volume error (RVE), are used for performance analysis. GERICS-MPI, RAC4-NOAA-2G, and CCLM4-NCCR-AFR-22 have better performances for both rainfall and temprature. The empirical cumulative distribution function (ECDF) method performed best in removing bias from the frequency-based statistics of rainfall and streamflow, followed by the power transformation (PT), distribution mapping (DM), local intensity scaling (LOCI), and linear scaling (LS) methods. Specifically, for temperature, the VARI and DM methods perform better in frequency-based statistics than the LS method. The performance of hydrological modeling is strongly affected by the selection of rainfall bias correction methods. In addition, the effect of the temperature bias correction method was not significant. The adequacy of the BCM depends on the RCM models and regional context. Therefore, the BCM implementation procedure can be adapted from region to region. This study revealed that the performance of the RCM models differed and that the errors in the RCM model outputs were reduced by the use of bias correction methods.","PeriodicalId":12037,"journal":{"name":"Environmental Systems Research","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140312836","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 : 2024-03-15DOI: 10.1186/s40068-024-00334-x
Sadaf Gharaati, Rebecca Dziedzic
Deterioration of water infrastructure is a global challenge that jeopardizes water system ability to deliver water safely. While various factors affect watermain failure, previous studies have focused on common pipe attributes or general protection strategies. The main objective of this study is to examine the relationship between pipe break characteristics and system properties. Comprehensive data from thirteen Canadian water systems (over 60,000 failures) are examined with correlation and chi-squared analyses. Joint and fitting failures are most likely for pipes aged 20 years or less, and universal joints are most associated with joint failure. Pipes in clay and sand soils are more likely to break due to improper bedding and differential settlement, respectively. Furthermore, in the summer, accidental breaks of asbestos cement pipes are more likely, as are failures of pipes with collar joints and coal tar lined pipes. By exploring these relationships, the paper provides insights into opportunities for reducing water main failure, through improved design, maintenance and rehabilitation.
{"title":"Analysis of factors driving water main breaks across 13 Canadian utilities","authors":"Sadaf Gharaati, Rebecca Dziedzic","doi":"10.1186/s40068-024-00334-x","DOIUrl":"https://doi.org/10.1186/s40068-024-00334-x","url":null,"abstract":"Deterioration of water infrastructure is a global challenge that jeopardizes water system ability to deliver water safely. While various factors affect watermain failure, previous studies have focused on common pipe attributes or general protection strategies. The main objective of this study is to examine the relationship between pipe break characteristics and system properties. Comprehensive data from thirteen Canadian water systems (over 60,000 failures) are examined with correlation and chi-squared analyses. Joint and fitting failures are most likely for pipes aged 20 years or less, and universal joints are most associated with joint failure. Pipes in clay and sand soils are more likely to break due to improper bedding and differential settlement, respectively. Furthermore, in the summer, accidental breaks of asbestos cement pipes are more likely, as are failures of pipes with collar joints and coal tar lined pipes. By exploring these relationships, the paper provides insights into opportunities for reducing water main failure, through improved design, maintenance and rehabilitation.","PeriodicalId":12037,"journal":{"name":"Environmental Systems Research","volume":"148 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140152957","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}