Changjiang Liuyu Ziyuan Yu Huanjing/Resources and Environment in the Yangtze Valley
Changjiang Liuyu Ziyuan Yu Huanjing/Resources and Environment in the Yangtze Valley (issn: 10048227) is a scopus indexed journal since 1996 upto now. This journal is sponsored by Bureau of Science and Technology for Resources and Environment of Chinese Academy of Sciences (CAS) and the Wuhan Documentation and Information Center of CAS and published by Science Press. It is committed to publishing high-quality, original research on the all topics of environmental science and environmental engineering.
Aim and Scope
Changjiang Liuyu Ziyuan Yu Huanjing/Resources and Environment in the Yangtze Valley (ISSN: 10048227)
- is a peer-reviewed journal. The journal seeks to publish original research articles that are hypothetical and theoretical in its nature and that provide exploratory insights in the following fields but not limited to:Environmental Science,
Environmental Engineering,
Nature and Landscape Conservation,
Water Science, resource and Technology,
Ecology, Management, Monitoring, Policy and Law.
Submission Deadline
Volume -
39
, Issue
02
10 Oct 2023
Volume -
39
, Issue
02
31 Oct 2023
Upcoming Publication
Latest Journals
Changjiang Liuyu Ziyuan Yu Huanjing/Resources and Environment in the Yangtze Valley
Spatio-temporal Process of Population Shrinkage in Rural China Over the Past 70 a And Its Effect on Water and Land Resources
Rural residential area is the core component of rural land, and the process of its transfer exists to guide the change of rural land use. Its evolution is closely related to population migration, so exploring the spatial and temporal evolution of the coupling type of human-land relationship and its driving mechanism is the core scientific basis for the optimal allocation of rural land resources. From the perspective of human-land relationship, this paper introduces spatio-temporal big data on the basis of 3S technology and constructs an elasticity coefficient model. The composite index meth
The Impact of Socialized Service Supply on Economic Benefits and Green Production of Large-scale Farmers
Farmland scale management (FSM) is an essential strategy to establish an appropriate management scale for agricultural production, enhance smallholder farmer production efficiency, and improve the utilization rate of farmland. The Chinese government promotes farmland transfer as a tool to establish modern and moderate-scale agriculture. However, farmers remain unable to afford agricultural services and inputs required for appropriate FSM after farmland is transferred-in. This paper aims to examine the impact of agricultural socialized services (ASSs) on the FSM behavior of smallholder farme
Carbon Emission Differences, Influence Mechanisms and Carbon Peak Projections in Yangtze River Delta Region
The Yangtze River Delta is the most populous and economically active region in China. Studying the reduction in CO2 emissions in this region is of great significance in achieving the goal of “peak carbon and carbon neutrality” in China. In this study, the Tapio decoupling and extended STIRPAT models were used to study the differences in provincial CO2 emissions characteristics and influencing factors in the Yangtze River Delta from 2001 to 2019. The results show that the growth rate of CO2 emissions was slower than that of economic development, which means that CO2 emissions and
Spatial and Temporal Distribution and Influencing Factors of Four Major Chinese Carps Larvae Fish Resources in Lower Reaches of Yangtze River
Hydrodynamic characteristics of spawning grounds are important factors affecting the spawning of four major Chinese carps (Mylopharyngodon piceus, Ctenopharyngodon idella, Hypophthalmichthys molitrix, and Aristichthys nobilis). To investigate the relationship between the preferred hydrodynamic characteristics of spawning sites and the response of fish spawning behavior, we monitored the flow field of spawning sites during ecological operation of the Three Gorges Dam (i.e., man-made flood regulation) in 2014 and 2015. We used the data to explore the correlation between vort
Network Characteristics and Influencing Factors of Spatial Correlation of Carbon Emissions in China
Railway carbon emissions reduction is of great significance. In this study, carbon emission efficiency in railway transportation in China’s 31 provinces is measured for 2006–2019 based on an unexpected output slack-based measure (SBM) model. A gravity matrix of the spatial correlation network for carbon emission efficiency is constructed using the modified gravity model, the spatial network structure is explored using social network analysis, and the factors influencing the spatial network are analyzed using the quadratic assignment procedure (QAP) model. Based on the results, s