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
Remote Sensing Assessment of the Water Conservation Function of Ecological System in Dabieshan Mountain Area of Hubei Province
Water conservation is an essential indicator of the hydrological regulation capacity of terrestrial ecosystems. At the regional scale, the water conservation capacity of an ecosystem is typically assessed using the water balance model (WBM). However, the estimation of the runoff depth relies heavily on rainfall data and the ecosystem runoff coefficient look-up table, which introduces uncertainties in the assessment results. To address this issue, this study constructed a new method for quantifying the spatiotemporal distribution pattern of runoff depth based on the ecosystem type and region
Remote Sensing Monitoring of Suspended Solids Concentration in the Three Gorges Reservoir Area Based on Multi-source Satellite Data
Accurate and quantitative assessment of the impact of natural environmental changes and human activities on total suspended solids (TSS) concentration is one of the important components of water environment protection. Due to the limits of traditional cross-sectional point monitoring, a novel water quality evaluation method based on the Markov model and remote sensing retrieval is proposed to realize the innovation of large-scale spatial monitoring across administrative boundaries. Additionally, to explore the spatiotemporal characteristics and driving factors of TSS, a new three-band remot
Spatial Distribution Pattern and Driving Factors of Nematode-trapping Fungi in Jinsha River Basin
Maintaining the effects of nematode-trapping fungi (NTF) agents in order to control plant-parasitic nematodes (PPNs) in different ecological environments has been a major challenge in biological control applications. To achieve such an objective, it is important to understand how populations of the biocontrol agent NTF are geographically and ecologically structured. A previous study reported evidence for ecological adaptation in the model NTF species Arthrobotrys oligospora. However, their large-scale geographic structure, patterns of gene flow, their potential phenotypic diversification, a
Driving Mechanism of Rural Households’ Livelihood Resilience and Its Environmental Effects
The welfare of many poor and low-income rural households is vulnerable to earthquakes and secondary geological disasters. The academic literature, however, pays little attention to the livelihood pressure, adaptability, and livelihood strategies of these households. Based on the survey data of 327 rural households in the Wenchuan and Lushan earthquake-stricken areas in the Sichuan Province, the livelihood pressure, adaptability, and livelihood strategy characteristics of rural households were analyzed, and the disordered multi-classification logistic regression model was constructed to expl
Spatial Pattern and Influencing Factors of Coupling and Coordinated Development of New Infrastructure and Industrial Upgrading
China’s pursuit of sustainable and healthy economic growth requires the promotion of high-quality development. While many scholars have studied high-quality development, few have examined the coupling and coordination among its internal systems. The study aims to analyze the influencing factors of high-quality coordinated development, identify problem areas based on the five development statuses, and provide practical recommendations for optimizing the spatial layout of high-quality development in these areas. By applying a coupling coordination model and a geographically weighted reg