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Article: Irrigation enhances local warming with greater nocturnal warming effects than daytime cooling effects

JEONG, SUJONG

Environmental research letters, 13(2):024005

2018

Abstract: To meet the growing demand for food, land is being managed to be more productive using agricultural intensification practices, such as the use of irrigation. Understanding the specific environmental impacts of irrigation is a critical part of using it as ...

Abstract	To meet the growing demand for food, land is being managed to be more productive using agricultural intensification practices, such as the use of irrigation. Understanding the specific environmental impacts of irrigation is a critical part of using it as a sustainable way to provide food security. However, our knowledge of irrigation effects on climate is still limited to daytime effects. This is a critical issue to define the effects of irrigation on warming related to greenhouse gases (GHGs). This study shows that irrigation led to an increasing temperature (0.002 °C year−1) by enhancing nighttime warming (0.009 °C year−1) more than daytime cooling (−0.007 °C year−1) during the dry season from 1961–2004 over the North China Plain (NCP), which is one of largest irrigated areas in the world. By implementing irrigation processes in regional climate model simulations, the consistent warming effect of irrigation on nighttime temperatures over the NCP was shown to match observations. The intensive nocturnal warming is attributed to energy storage in the wetter soil during the daytime, which contributed to the nighttime surface warming. Our results suggest that irrigation could locally amplify the warming related to GHGs, and this effect should be taken into account in future climate change projections.
Keywords	North China Plain ; food security ; irrigation ; regional climate change ; warming
Language	English
Document type	Article
Database	Repository for Life Sciences

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Article: Shifting the urban heat island clock in a megacity: a case study of Hong Kong

JEONG, SUJONG

Environmental research letters, 13(1):014014

2018

Abstract: With increasing levels of urbanization in the near future, understanding the impact of urbanization on urban heat islands (UHIs) is critical to adapting to regional climate and environmental changes. However, our understanding of the UHI effect relies ... ...

Abstract	With increasing levels of urbanization in the near future, understanding the impact of urbanization on urban heat islands (UHIs) is critical to adapting to regional climate and environmental changes. However, our understanding of the UHI effect relies mainly on its intensity or magnitude. The present study evaluates the impact of urbanization on UHI duration changes by comparing three stations with different rates of urbanization, including highly developed and developing urban areas throughout Hong Kong, from 1990–2015. Results show that the 26 year average UHI intensity in highly urbanized regions is much higher than that in developing areas, and the 26 year average of UHI duration is similar. Over the past 25 years, however, UHI duration has increased only in developing urban areas, from 13.59–17.47 hours. Both earlier UHI starting and later UHI ending times concurrently contribute to the UHI effect being experienced for a longer duration. The differences in UHI duration change between the two areas are supported by population and by night light changes from space. Increasing night light, which suggests enhancements in the economic infrastructure, occurred only in the developing urban areas. Our results suggest that changes in UHI duration should be included in an assessment of regional climate change as well as in urban planning in a megacity.
Keywords	UHI duration ; regional climate change ; urban heat island ; urbanization
Language	English
Document type	Article
Database	Repository for Life Sciences

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Article: Contributions of economic growth, terrestrial sinks, and atmospheric transport to the increasing atmospheric CO

Yun, Jeongmin / Jeong, Sujong

Carbon balance and management

2021 Volume 16, Issue 1, Page(s) 22

Abstract: Background: Understanding a carbon budget from a national perspective is essential for establishing effective plans to reduce atmospheric CO: Results: The atmospheric CO: Conclusions: This study discovered that economic activity is the determinant ...

Abstract	Background: Understanding a carbon budget from a national perspective is essential for establishing effective plans to reduce atmospheric CO Results: The atmospheric CO Conclusions: This study discovered that economic activity is the determinant of regional differences in increasing atmospheric CO
Language	English
Publishing date	2021-07-20
Publishing country	England
Document type	Journal Article
ISSN	1750-0680
ISSN	1750-0680
DOI	10.1186/s13021-021-00186-3
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Contributions of economic growth, terrestrial sinks, and atmospheric transport to the increasing atmospheric CO2 concentrations over the Korean Peninsula

Yun, Jeongmin / Jeong, Sujong

Carbon balance and management. 2021 Dec., v. 16, no. 1

2021

Abstract: BACKGROUND: Understanding a carbon budget from a national perspective is essential for establishing effective plans to reduce atmospheric CO₂ growth. The national characteristics of carbon budgets are reflected in atmospheric CO₂ variations; however, ... ...

Abstract	BACKGROUND: Understanding a carbon budget from a national perspective is essential for establishing effective plans to reduce atmospheric CO₂ growth. The national characteristics of carbon budgets are reflected in atmospheric CO₂ variations; however, separating regional influences on atmospheric signals is challenging owing to atmospheric CO₂ transport. Therefore, in this study, we examined the characteristics of atmospheric CO₂ variations over South and North Korea during 2000–2016 and unveiled the causes of their regional differences in the increasing rate of atmospheric CO₂ concentrations by utilizing atmospheric transport modeling. RESULTS: The atmospheric CO₂ concentration in South Korea is rising by 2.32 ppm year⁻ ¹, which is more than the globally-averaged increase rate of 2.05 ppm year⁻ ¹. Atmospheric transport modeling indicates that the increase in domestic fossil energy supply to support manufacturing export-led economic growth leads to an increase of 0.12 ppm year⁻ ¹ in atmospheric CO₂ in South Korea. Although enhancements of terrestrial carbon uptake estimated from both inverse modeling and process-based models have decreased atmospheric CO₂ by up to 0.02 ppm year⁻ ¹, this decrease is insufficient to offset anthropogenic CO₂ increases. Meanwhile, atmospheric CO₂ in North Korea is also increasing by 2.23 ppm year⁻ ¹, despite a decrease in national CO₂ emissions close to carbon neutrality. The great increases estimated in both South Korea and North Korea are associated with changes in atmospheric transport, including increasing emitted and transported CO₂ from China, which have increased the national atmospheric CO₂ concentrations by 2.23 ppm year⁻ ¹ and 2.27 ppm year⁻ ¹, respectively. CONCLUSIONS: This study discovered that economic activity is the determinant of regional differences in increasing atmospheric CO₂ in the Korea Peninsula. However, from a global perspective, changes in transported CO₂ are a major driver of rising atmospheric CO₂ over this region, yielding an increase rate higher than the global mean value. Our findings suggest that accurately separating the contributions of atmospheric transport and regional sources to the increasing atmospheric CO₂ concentrations is important for developing effective strategies to achieve carbon neutrality at the national level.
Keywords	administrative management ; carbon ; carbon dioxide ; economic development ; fossil fuels ; global carbon budget ; China ; North Korea ; South Korea
Language	English
Dates of publication	2021-12
Size	p. 22.
Publishing place	Springer International Publishing
Document type	Article
ZDB-ID	2243512-8
ISSN	1750-0680
ISSN	1750-0680
DOI	10.1186/s13021-021-00186-3
Database	NAL-Catalogue (AGRICOLA)

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Article: Toward a comprehensive understanding of global vegetation CO2 assimilation from space

Jeong, Sujong / Park, Hayoung

Global change biology. 2021 Mar., v. 27, no. 6

2021

Abstract: Large‐scale global analysis of the relationship between growing season solar‐induced chlorophyll fluorescence (SIF) and gross primary productivity (GPP), indicated by the GPP/SIF ratio, varied greatly with higher values found in wet‐and‐cold climate ... ...

Abstract	Large‐scale global analysis of the relationship between growing season solar‐induced chlorophyll fluorescence (SIF) and gross primary productivity (GPP), indicated by the GPP/SIF ratio, varied greatly with higher values found in wet‐and‐cold climate regions and lower values found in hot‐and‐dry climate regions. Such pattern has been shown to be most influenced by the environmental factor of moisture availability.
Keywords	Biological Sciences ; chlorophyll ; environmental factors ; global change ; gross primary productivity ; vegetation
Language	English
Dates of publication	2021-03
Size	p. 1141-1143.
Publishing place	John Wiley & Sons, Ltd
Document type	Article
Note	NAL-AP-2-clean ; JOURNAL ARTICLE
ZDB-ID	1281439-8
ISSN	1365-2486 ; 1354-1013
ISSN (online)	1365-2486
ISSN	1354-1013
DOI	10.1111/gcb.15475
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Article ; Online: Machine learning based estimation of urban on-road CO

Park, Chaerin / Jeong, Sujong / Kim, Chongmin / Shin, Jaewon / Joo, Jaewon

Environmental research

2023 Volume 231, Issue Pt 3, Page(s) 116256

Abstract: The urban on-road ... ...

Abstract	The urban on-road CO
MeSH term(s)	Air Pollutants/analysis ; Vehicle Emissions/analysis ; Carbon Dioxide/analysis ; Environmental Monitoring/methods ; Seoul
Chemical Substances	Air Pollutants ; Vehicle Emissions ; Carbon Dioxide (142M471B3J)
Language	English
Publishing date	2023-05-26
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	205699-9
ISSN	1096-0953 ; 0013-9351
ISSN (online)	1096-0953
ISSN	0013-9351
DOI	10.1016/j.envres.2023.116256
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Article ; Online: Missing methane emissions from urban sewer networks.

Joo, Jaewon / Jeong, Sujong / Shin, Jaewon / Chang, Dong Yeong

Environmental pollution (Barking, Essex : 1987)

2023 Volume 342, Page(s) 123101

Abstract: Methane emissions from sewer networks are an important source of anthropogenic greenhouse gases (GHGs) but are not currently reflected in the national GHG inventory. We found significant ... ...

Abstract	Methane emissions from sewer networks are an important source of anthropogenic greenhouse gases (GHGs) but are not currently reflected in the national GHG inventory. We found significant CH
MeSH term(s)	Methane/analysis ; Greenhouse Gases ; Wastewater ; Natural Gas/analysis ; Cities ; Carbon Dioxide/analysis ; Nitrous Oxide/analysis
Chemical Substances	Methane (OP0UW79H66) ; Greenhouse Gases ; Wastewater ; Natural Gas ; Carbon Dioxide (142M471B3J) ; Nitrous Oxide (K50XQU1029)
Language	English
Publishing date	2023-12-08
Publishing country	England
Document type	Journal Article
ZDB-ID	280652-6
ISSN	1873-6424 ; 0013-9327 ; 0269-7491
ISSN (online)	1873-6424
ISSN	0013-9327 ; 0269-7491
DOI	10.1016/j.envpol.2023.123101
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Article ; Online: Toward a comprehensive understanding of global vegetation CO

Jeong, Sujong / Park, Hayoung

Global change biology

2020 Volume 27, Issue 6, Page(s) 1141–1143

Abstract: Large-scale global analysis of the relationship between growing season solar-induced chlorophyll fluorescence (SIF) and gross primary productivity (GPP), indicated by the GPP/SIF ratio, varied greatly with higher values found in wet-and-cold climate ... ...

Abstract	Large-scale global analysis of the relationship between growing season solar-induced chlorophyll fluorescence (SIF) and gross primary productivity (GPP), indicated by the GPP/SIF ratio, varied greatly with higher values found in wet-and-cold climate regions and lower values found in hot-and-dry climate regions. Such pattern has been shown to be most influenced by the environmental factor of moisture availability.
MeSH term(s)	Carbon Dioxide ; Chlorophyll ; Fluorescence ; Photosynthesis ; Seasons ; Sunlight
Chemical Substances	Chlorophyll (1406-65-1) ; Carbon Dioxide (142M471B3J)
Language	English
Publishing date	2020-12-24
Publishing country	England
Document type	Journal Article ; Comment
ZDB-ID	1281439-8
ISSN	1365-2486 ; 1354-1013
ISSN (online)	1365-2486
ISSN	1354-1013
DOI	10.1111/gcb.15475
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Article ; Online: Machine learning based estimation of urban on-road CO2 concentration in Seoul

Park, Chaerin / Jeong, Sujong / Kim, Chongmin / Shin, Jaewon / Joo, Jaewon

Environmental Research. 2023 May 26, p.116256-

2023 , Page(s) 116256–

Abstract: The urban on-road CO₂ emissions will continue to increase, it is therefore essential to manage urban on-road CO₂ concentrations for effective urban CO₂ mitigation. However, limited observations of on-road CO₂ concentrations prevents a full understanding ... ...

Abstract	The urban on-road CO₂ emissions will continue to increase, it is therefore essential to manage urban on-road CO₂ concentrations for effective urban CO₂ mitigation. However, limited observations of on-road CO₂ concentrations prevents a full understanding of its variation. Therefore, in this study, a machine learning-based model that predicts on-road CO₂ concentration (CO₂ᵗʳᵃᶠᶠⁱᶜ) was developed for Seoul, South Korea. This model predicts hourly CO₂ᵗʳᵃᶠᶠⁱᶜ with high precision (R² = 0.8 and RMSE = 22.9 ppm) by utilizing CO₂ observations, traffic volume, traffic speed, and wind speed as the main factors. High spatiotemporal inhomogeneity of hourly CO₂ᵗʳᵃᶠᶠⁱᶜ over Seoul, with 14.3 ppm by time-of-day and 345.1 ppm by road, was apparent in the CO₂ᵗʳᵃᶠᶠⁱᶜ data predicted by the model. The large spatiotemporal variability of CO₂ᵗʳᵃᶠᶠⁱᶜ was related to different road types (major arterial roads, minor arterial roads, and urban highways) and land-use types (residential, commercial, bare ground, and urban vegetation). The cause of the increase in CO₂ᵗʳᵃᶠᶠⁱᶜ differed by road type, and the diurnal variation of CO₂ᵗʳᵃᶠᶠⁱᶜ differed according to land-use type. Our results demonstrate that high spatiotemporal on-road CO₂ monitoring is required to manage urban on-road CO₂ concentrations with high variability. In addition, this study demonstrated that a model using machine learning techniques can be an alternative for monitoring CO₂ concentrations on all roads without conducting observations. Applying the machine learning techniques developed in this study to cities around the world with limited observation infrastructure will enable effective urban on-road CO₂ emissions management.
Keywords	carbon dioxide ; diurnal variation ; infrastructure ; land use ; models ; research ; traffic ; vegetation ; wind speed ; South Korea ; CO2 ; Mobile observation ; Machine learning ; Emissions ; Urban
Language	English
Dates of publication	2023-0526
Publishing place	Elsevier Inc.
Document type	Article ; Online
Note	Pre-press version
ZDB-ID	205699-9
ISSN	1096-0953 ; 0013-9351
ISSN (online)	1096-0953
ISSN	0013-9351
DOI	10.1016/j.envres.2023.116256
Database	NAL-Catalogue (AGRICOLA)

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Article: Accelerated rate of vegetation green‐up related to warming at northern high latitudes

Park, Hoonyoung / Jeong, Sujong / Peñuelas, Josep

Global change biology. 2020 Nov., v. 26, no. 11

2020

Abstract: Mid‐ to high‐latitude vegetation are experiencing changes in their seasonal cycles as a result of climate change. Although the rates of seasonal growth from winter dormancy to summer maturity have accelerated because of changes in environmental ... ...

Abstract	Mid‐ to high‐latitude vegetation are experiencing changes in their seasonal cycles as a result of climate change. Although the rates of seasonal growth from winter dormancy to summer maturity have accelerated because of changes in environmental conditions, less attention has been paid to the rate of vegetation green‐up (RVG) and its dynamics, which could advance vegetation maturity. We analyzed the long‐term changes in RVG and the drivers at high northern latitudes for 35 years (1982–2016) using satellite‐retrieved leaf area index data based on partial correlation analyses and multivariable linear regression. The rates tended to increase significantly with time, particularly at high latitudes above 60°N in North America (1.8% mon⁻¹ decade⁻¹, p < .01) and Eurasia (1.0% mon⁻¹ decade⁻¹, p < .01). The increasing trend in North America was mostly because of increased heat accumulation in spring (1.2% mon⁻¹ decade⁻¹), that is, more rapid green‐up owing to warming, with an increased carbon dioxide concentration (0.6 mon⁻¹ decade⁻¹). The trend in Eurasia, however, was induced by warming, increased carbon dioxide concentration, and stronger radiation, 1.0%, 0.7%, and 0.5% mon⁻¹ decade⁻¹, respectively, but was partly counteracted by earlier pregreen‐up dates of −1.2% mon⁻¹ decade⁻¹, that is, earlier initiation of growth which counteracted green‐up rate acceleration. The results suggested that warming was the predominant factor influencing the accelerated RVG at high latitudes; however, Eurasian vegetation exhibited different green‐up dynamics, mitigating the influence of warming with the earlier pregreen‐up. Our findings imply that high‐latitude warming will drive vegetation seasonality toward rapid green‐up and early maturity, leading to the reinforcement of climate–vegetation interactions; however, the consequences will be more distinct in North America owing to the absence of alleviation by earlier pregreen‐up.
Keywords	carbon dioxide ; climate change ; dormancy ; early development ; heat ; latitude ; leaf area index ; regression analysis ; seasonal growth ; spring ; vegetation ; Eurasia ; North America
Language	English
Dates of publication	2020-11
Size	p. 6190-6202.
Publishing place	John Wiley & Sons, Ltd
Document type	Article
Note	NAL-AP-2-clean ; JOURNAL ARTICLE
ZDB-ID	1281439-8
ISSN	1365-2486 ; 1354-1013
ISSN (online)	1365-2486
ISSN	1354-1013
DOI	10.1111/gcb.15322
Database	NAL-Catalogue (AGRICOLA)

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