Article
Environmental Sciences
Hoonyoung Park, Sujong Jeong
Summary: This study evaluates the LAI seasonality of deciduous forests simulated by 14 ESMs participating in CMIP5 and CMIP6 to understand the effectiveness of recent ESMs in describing leaf dynamics in the northern extratropics. CMIP6 models tend to show larger annual means, weaker amplitudes, and delayed phases compared to CMIP5 models, attributed to a systematic positive bias in EOS. Further tests on phenological responses to seasonal temperature reveal inaccuracies in the sensitivities of SOS and EOS in the majority of CMIP5 and CMIP6 ESMs.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Wenjing Yang, Yong Zhao, Qingming Wang, Buliao Guan
Summary: This study explores the impact of natural, biogeochemical, and anthropogenic factors on vegetation greenness changes in the Haihe River Basin in China. The results indicate a significant increase in vegetation greenness in the majority of counties, with CO2 and human activities being the major contributing factors. Additionally, afforestation is a pronounced driving force for vegetation greenness changes, particularly in mountainous areas.
Article
Remote Sensing
Farai Maxwell Marumbwa, Moses Azong Cho, Paxie W. Chirwa
Summary: Droughts have devastating impacts on vegetation in the Southern African biomes, but limited information is available on the drought impact at the biome level. Most studies have focused on crops rather than natural vegetation. This study quantified the drought impact using the SPEI and VCI indices, showing that extreme drought mainly affects southwestern biomes and there is an increasing VCI trend across all biomes.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2021)
Article
Environmental Sciences
Xiangxu Kong, Jiafu Mao, Haishan Chen, Yaoping Wang, Yulong Zhang, Xiaoying Shi, Mingzhou Jin
Summary: The vegetation seasonality in the northern extratropical latitudes has experienced significant changes, primarily influenced by climate change and elevated CO2 concentration. Climate change affects the concentration of vegetation growth, while both climate change and CO2 contribute to the increased magnitude of vegetation growth. The study highlights the importance of environmental factors in vegetation seasonality and provides valuable insights for policymakers and land managers in developing sustainable ecosystem management strategies.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Environmental Sciences
Fei Wang, Hexin Lai, Yanbin Li, Kai Feng, Qingqing Tian, Wenxian Guo, Weijie Zhang, Danyang Di, Haibo Yang
Summary: In this study, the dynamic variations of ecological drought in China from 1982 to 2020 were analyzed using the VHI and FLDAS datasets. The results showed a decreasing trend of ecological drought in China, with spring and summer drought more likely to occur in the South China and autumn and winter drought more likely to appear in the Sichuan Basin. The TPI, AO, and ENSO were identified as important drivers of ecological drought, which can improve the accuracy of drought prediction in early warning systems.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Liyang Liu, Xueqin Yang, Fanxi Gong, Yongxian Su, Guangqing Huang, Xiuzhi Chen
Summary: This study used a new Microwave Temperature-Vegetation Drought Index (MTVDI) and other climate indicators to analyze the canopy seasonality of the Amazonian tropical forest. The results indicate that MTVDI can better reflect the seasonal variation of canopy photosynthesis compared to other indicators.
Article
Geography, Physical
Mengdi Guo, Chaoyang Wu, Jie Peng, Linlin Lu, Shihua Li
Summary: This study analyzed vegetation index data from the Northern Hemisphere between 1982 and 2015 to investigate the response of autumn phenology to global environmental factors. It found that warming, precipitation, insolation, atmospheric CO2, and nitrogen deposition all play important roles in regulating the end of the growing season. Changes in these factors have varying impacts on different regions, with atmospheric CO2 and nitrogen deposition showing significant control over EOS in some areas.
GLOBAL AND PLANETARY CHANGE
(2021)
Article
Ecology
Ayodele Ogunkoya, Jed Kaplan, Cathy Whitlock, William Nanavati, David W. Roberts, Benjamin Poulter
Summary: The study found that climate is the primary driver of forest expansion in northern Patagonia, with CO2 fertilization as the secondary driver. The simulations showed an increase in forest cover with changing climate and CO2 levels.
Article
Environmental Sciences
Xinru Zhang, Qian Cao, Hao Chen, Quan Quan, Changchao Li, Junyu Dong, Mengjie Chang, Shuwan Yan, Jian Liu
Summary: This study investigates the seasonal differences in vegetation growth and the contributions of climate variability and vegetation growth carryover effect on vegetation greening in the upper and middle reaches of the Yellow River basin. The results show that precipitation is a positive driver of vegetation greening, while sunshine duration has a negative effect. The vegetation growth carryover effect dominates vegetation growth during different growing seasons and can sustain into the following year.
Article
Environmental Sciences
Lichang Yin, Fulu Tao, Ran Zhai, Yi Chen, Jian Hu, Zhenghui Wang, Bojie Fu
Summary: The water retention service of terrestrial ecosystems is influenced by climate change and atmospheric carbon dioxide concentration. However, the specific processes involved are not well understood. This study finds that climate change will have a greater impact than carbon dioxide concentration on future water retention, with precipitation and runoff changes playing a dominant role.
Article
Meteorology & Atmospheric Sciences
Luiz F. C. Rezende, Aline Anderson de Castro, Celso Von Randow, Romina Ruscica, Boris Sakschewski, Phillip Papastefanou, Nicolas Viovy, Kirsten Thonicke, Anna Sorensson, Anja Rammig, Iracema F. A. Cavalcanti
Summary: Recent publications suggest that the Amazon Rainforest may act as a carbon source rather than a carbon sink in certain regions, and deforestation may reduce its role as a moisture supplier to other areas. This study used dynamic global vegetation models to analyze the impacts of elevated CO2 and land use change on primary productivity and evaporation in the southern Amazon. The results indicate that increased CO2 levels may offset the effects of deforestation, leading to an increase in primary productivity, while land use change reduces evaporation.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Remote Sensing
Jie Li, Kun Jia, Xiangqin Wei, Mu Xia, Zhulin Chen, Yunjun Yao, Xiaotong Zhang, Haiying Jiang, Bo Yuan, Guofeng Tao, Linlin Zhao
Summary: A high-spatiotemporal resolution dataset of atmospheric CO2 concentration was generated based on satellite observations and environmental factors. The dataset showed satisfactory performance in terms of accuracy, and can be used for further studies on global climate change and carbon cycling.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Multidisciplinary Sciences
Hongxiang Yan, Zhuoran Duan, Mark S. Wigmosta, Ning Sun, Ethan D. Gutmann, Bert Kruyt, Jeffrey R. Arnold
Summary: The current methods for designing hydrological infrastructure have limitations in accurately predicting flooding and considering land use factors. To address these issues, next-generation intensity-duration-frequency (NG-IDF) curves have been developed, including land use factors, which will help improve design practices and assess infrastructure design risks.
Article
Environmental Sciences
Olalekan Balogun, Richard Bello, Kaz Higuchi
Summary: In this study, the suitability of satellite-based light use efficiency (LUE) models for estimating carbon flux in the Hudson Bay Lowlands (HBL) peatland-rich region was examined using the Vegetation Photosynthesis and Respiration Model (VPRM). The results showed that the SIF-driven VPRM provided better estimates of peatland carbon exchange compared to the EVI-driven VPRM. This study suggests that satellite-based LUE models can be applied on a larger scale in the HBL region.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Ye Yuan, Anming Bao, Guli Jiapaer, Liangliang Jiang, Philippe De Maeyer
Summary: This study analyzed the impact of climate variability and past states on vegetation growth during different seasons, and quantified the relative importance of climatic factors and vegetation growth carryover effect. The study found that climate variability had a greater impact during the green-up period, while the influence diminished over the season. On the other hand, the vegetation growth carryover effect showed the opposite pattern. Furthermore, the relative influence of different climatic factors varied between sub-seasons.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Beichen Zhang, Min Chen, Zaiyang Ma, Zhuo Zhang, Songshan Yue, Dawei Xiao, Zhiyi Zhu, Yongning Wen, Guonian Lu
Summary: With the continuous development of urbanization and global climate change, urban flooding risk has become a well-publicized research issue. The cooperation of multifield participants is becoming a trend, as resource sharing systems and platforms are proposed but still require a participatory environment for effective collaboration.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Geography, Physical
Fengyuan Zhang, Min Chen, Ming Wang, Zihuan Wang, Shuo Zhang, Songshan Yue, Yongning Wen, Guonian Lu
Summary: Geographical simulation is a popular method in geographical and environmental research, with many models distributed worldwide. This study developed a framework to assemble service-oriented models from volunteers for geographical simulations on the web. The framework allows users to configure tasks and invoke shared models for geographical simulations, benefiting from distributed simulation tasks for environmental issues like Digital Earth initiatives.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2021)
Review
Geosciences, Multidisciplinary
Min Chen, Guonian Lv, Chenghu Zhou, Hui Lin, Zaiyang Ma, Songshan Yue, Yongning Wen, Fengyuan Zhang, Jin Wang, Zhiyi Zhu, Kai Xu, Yuanqing He
Summary: The paper discusses the importance of geographic modeling and simulation in geography research and its potential for addressing geo-problems. By summarizing the supporting capabilities of existing systems and proposing future research directions, the goal is to better serve the development of geography.
SCIENCE CHINA-EARTH SCIENCES
(2021)
Article
Computer Science, Interdisciplinary Applications
Fengyuan Zhang, Min Chen, Albert J. Kettner, Daniel P. Ames, Quillon Harpham, Songshan Yue, Yongning Wen, Guonian Lu
Summary: This article discusses the challenges faced when sharing and reusing geo-analysis models based on different standards, and provides a solution through an interoperability engine. Case studies using various models demonstrate successful model interoperation.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Computer Science, Interdisciplinary Applications
Heng Li, Chunxiao Zhang, Ziwei Xiao, Min Chen, Dequan Lu, Shuhui Liu
Summary: The study proposes a geographic simulation approach with a conceptual framework, and implements a Web-based prototype system with a geo-simulation knowledge graph in Nanchong, China. The results show that the approach effectively provides geo-simulation knowledge and improves the use of models simultaneously.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Computer Science, Interdisciplinary Applications
Jin Wang, Min Chen, Guonian Lu, Songshan Yue, Yongning Wen, Yehua Sheng, Mingyue Lu
Summary: This article introduces a method for constructing visual conceptual scenarios in hydrological modeling, which involves designing conceptual components, rules, and dynamic interaction methods to support the visualization of modeling systems.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Environmental Sciences
Fuqiang Lu, Milan Konecny, Min Chen, Tomas Reznik
Summary: Ocean modeling and simulation play a crucial role in understanding dynamic processes in the geophysical system, with the simulation of tidal dynamics being particularly significant. This paper introduces a new longitude-latitude spherical grid coupled with rotated coordinate mapping to address existing problems in global ocean modeling, demonstrating the model's ability to support tidal dynamics simulation in the global ocean. The proposed model utilizes a finite volume method on staggered C grid for spatial approximation and third-order Adams-Bashforth method for temporal integration, showing promising results for simulating two-dimensional tidal waves in the Arctic Ocean and beyond.
Article
Environmental Sciences
Mingyue Lu, Yadong Zhang, Min Chen, Manzhu Yu, Menglong Wang
Summary: Lightning monitoring plays a crucial role in disaster prevention and mitigation. In this study, a Lightning Monitoring Residual Network (LM-ResNet) is proposed, which combines deep learning with weather radar data and land attribute data. The results show that the LM-ResNet model has significant potential in monitoring lightning locations. By converting the lightning monitoring problem into a binary classification problem and using various data, a lightning feature dataset is established. The focal loss function is adopted to handle the imbalance issue of the dataset.
Article
Construction & Building Technology
Kai Zhang, Zhen Qian, Yue Yang, Min Chen, Teng Zhong, Rui Zhu, Guonian Lv, Jinyue Yan
Summary: This study proposed an ensemble classification model based on street view images to identify urban road noise barriers, with Suzhou as a case study. The model achieved high accuracy and F1 score, demonstrating its effectiveness. The importance of obtaining RNBs attributes for sustainable urban development was illustrated through the case of photovoltaic noise barriers.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Environmental Sciences
Zhuo Sun, Zhixin Zhang, Min Chen, Zhen Qian, Min Cao, Yongning Wen
Summary: This study proposes a geospatial stratified and optimized sampling strategy based on deep learning and high-resolution satellite imagery to acquire representative samples for training deep learning models. Experimental results show that this method can effectively collect abundant and diverse samples, and achieve better performance in rooftop extraction tasks.
Article
Environmental Sciences
Zhiwei Xie, Mingliang Yuan, Fengyuan Zhang, Min Chen, Meng Tian, Lishuang Sun, Guoqing Su, Ruizhao Liu
Summary: This research proposes a method for identifying spatial structure of urban agglomerations based on complex networks using nighttime light data and railway data. The results show that this method has the highest accuracy compared to other methods. Additionally, the distribution pattern of Chinese urban agglomerations in the study area is vertical and shows an unbalanced trend in development.
Article
Engineering, Electrical & Electronic
Min Cao, Lijiao Chang, Shangjing Ma, Zijun Zhao, Kai Wu, Xue Hu, Qiushi Gu, Guonian Lu, Min Chen
Summary: This article constructed an SDG-oriented land use simulation model and applied it to simulate land use changes in the Yangtze river delta region. The results confirm that scenario simulations of different sustainability levels are conducive to supporting the formulation of sustainable land use plans.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Environmental Studies
Xufeng Cui, Sisi Huang, Cuicui Liu, Tingting Zhou, Ling Shan, Fengyuan Zhang, Min Chen, Fei Li, Walter T. de Vries
Summary: This study conducted a quantitative analysis of urban land use efficiency (ULUE) at the provincial scale in China from 2008 to 2017 using the SBM-GPA integration model. The analysis found possibilities for improvement in ULUE, strong correlation between ULUE and agglomeration characteristics, and identified three clusters of ULUE values (high, medium, low). The results can better support decision making in urban land use management.
Article
Multidisciplinary Sciences
Weiyi Sun, Jian Liu, Chaochao Gao, Min Chen
Summary: Volcanic activity has a significant impact on climate change, with past powerful volcanic eruptions affecting global temperatures. Recent research through a volcanic experiment over the past 2000 years has found that tropical volcanoes have the greatest influence on temperature changes, followed by Northern Hemisphere volcanoes, while Southern Hemisphere volcanoes have a relatively weaker impact.
CHINESE SCIENCE BULLETIN-CHINESE
(2021)
Article
Geography
Mingyue Lu, Xinhao Wang, Xintao Liu, Min Chen, Shuoben Bi, Yadong Zhang, Tengfei Lao
Summary: Weather radar data plays a crucial role in meteorological analysis and forecasting, and real-time 3D visualization using 3D tiles and WebGIS technology can significantly enhance its applications. A new framework is proposed in this article to achieve web-based real-time 3D visualization of large-scale weather radar data. Through data preprocessing, indexing, transformation, and 3D tile generation, the feasibility of this strategy is validated with a prototype implementation in China.
TRANSACTIONS IN GIS
(2021)
