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Ecological Protection in the Yellow River Basin

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Environmental Ecology".

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 8436

Special Issue Editors


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Guest Editor
Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization, College of Geography and Environmental Science, Henan University, Kaifeng 475001, China
Interests: environmental regulation and economic development; urban and regional development; the Yellow River Basin development and sustainablity

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Guest Editor
1. School of Geographic Science, Qinghai Normal University, Xining 810008, China
2. Academy of Plateau Science and Sustainability, People’s Government of Qinghai Province & Beijing Normal University, Xining 810008, China
Interests: environmental evolution and natural disasters; regional geography of Qinghai Tibet Plateau

Special Issue Information

Dear Colleagues,

The Yellow River is the second longest river in China and the fifth longest river in the world at an estimated length of 5464 kilometers, with a total basin area of 752,443 km2. The Yellow River is also called ”the mother river” and "the cradle of Chinese civilization", as the basin has been the political, economic, and cultural center of China for more than 3000 years. However, high-intensity human activities have also led to serious ecological environment damage, soil erosion, and land degradation in the river basin, which have posed a severe challenge to the sustainability of the ecosystem, economy, and society of the river basin-related regions.

The Yellow River Basin is an important ecological barrier and ecologically fragile area in northern China. On the one hand, it faces many important ecological issues that need to be discussed, especially concerning the ecological functions and protection strategies for the main stream and important tributaries of the Yellow River as well as the Qinghai–Tibet Plateau, the Loess Plateau, the desertification control area, the wetland of the Yellow River Delta, and other important ecosystems. On the one hand, research needs to pay attention to the ecological conservation, restoration, and ecological security of the basin. On the other hand, it needs to focus on highlighting the development, utilization, and protection of the water, soil, energy, and cultural heritage of the basin.

We will accept manuscripts from different disciplines including water and sediment control, water and land resource use, ecological environment protection, energy transformation, and cultural heritage protection. Here are some examples of topics that could be addressed in this Special Issue:

  1. Human–earth systems and their functions in the Yellow River Basin;
  2. Ecological sustainability of the important ecosystems in the Yellow River Basin;
  3. Environmental regulation and pollution control of the Yellow River Basin;
  4. Ecosystem services and ecological compensation of the Yellow River Basin;
  5. Energy transformation and new energy development in the Yellow River Basin;
  6. Cultural heritage protection and culture–tourism integration development in the Yellow River Basin.

Studies may be related to the above content, but they are not limited to these topics, as long as sufficient attention is paid to the Yellow River.

Prof. Dr. Changhong Miao
Prof. Dr. Fenggui Liu
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sustainability
  • ecosystem
  • environmental regulation
  • ecological compensation
  • land and water resources
  • regulation of water and sediment
  • energy transformation
  • cultural heritage
  • culture and tourism

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Published Papers (4 papers)

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Research

22 pages, 3335 KiB  
Article
Analysis of the Low-Carbon Transition Effect and Development Pattern of Green Credit for Prefecture-Level Cities in the Yellow River Basin
by Jingcheng Li, Menggang Li, Tianyang Wang and Xiuqin Feng
Int. J. Environ. Res. Public Health 2023, 20(5), 4658; https://doi.org/10.3390/ijerph20054658 - 6 Mar 2023
Cited by 3 | Viewed by 1923
Abstract
Green credit is a vital instrument for promoting low-carbon transition. However, designing a reasonable development pattern and efficiently allocating limited resources has become a challenge for developing countries. The Yellow River Basin, a critical component of the low-carbon transition in China, is still [...] Read more.
Green credit is a vital instrument for promoting low-carbon transition. However, designing a reasonable development pattern and efficiently allocating limited resources has become a challenge for developing countries. The Yellow River Basin, a critical component of the low-carbon transition in China, is still in the early stages of green credit development. Most cities in this region lack green credit development plans that suit their economic conditions. This study examined the impact of green credit on carbon emission intensity and utilized a k-means clustering algorithm to categorize the green credit development patterns of 98 prefecture-level cities in the Yellow River Basin based on four static indicators and four dynamic indicators. Regression results based on city-level panel data from 2006 to 2020 demonstrated that the development of green credit in the Yellow River Basin can effectively reduce local carbon emission intensity and promote low-carbon transition. We classified the development patterns of green credit in the Yellow River Basin into five types: mechanism construction, product innovation, consumer business expansion, rapid growth, and stable growth. Moreover, we have put forward specific policy suggestions for cities with different development patterns. The design process of this green credit development patterns is characterized by its ability to achieve meaningful outcomes while relying on fewer numbers of indicators. Furthermore, this approach boasts a significant degree of explanatory power, which may assist policy makers in comprehending the underlying mechanisms of regional low-carbon governance. Our findings provide a new perspective for the study of sustainable finance. Full article
(This article belongs to the Special Issue Ecological Protection in the Yellow River Basin)
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16 pages, 34313 KiB  
Article
Combining Deep Learning and Hydrological Analysis for Identifying Check Dam Systems from Remote Sensing Images and DEMs in the Yellow River Basin
by Mengqi Li, Wen Dai, Mengtian Fan, Wei Qian, Xin Yang, Yu Tao and Chengyi Zhao
Int. J. Environ. Res. Public Health 2023, 20(5), 4636; https://doi.org/10.3390/ijerph20054636 - 6 Mar 2023
Cited by 4 | Viewed by 2128
Abstract
Identifying and extracting check dams is of great significance for soil and water conservation, agricultural management, and ecological assessment. In the Yellow River Basin, the check dam, as a system, generally comprises dam locations and dam-controlled areas. Previous research, however, has focused on [...] Read more.
Identifying and extracting check dams is of great significance for soil and water conservation, agricultural management, and ecological assessment. In the Yellow River Basin, the check dam, as a system, generally comprises dam locations and dam-controlled areas. Previous research, however, has focused on dam-controlled areas and has not yet identified all elements of check dam systems. This paper presents a method for automatically identifying check dam systems from digital elevation model (DEM) and remote sensing images. We integrated deep learning and object-based image analysis (OBIA) methods to extract the dam-controlled area’s boundaries, and then extracted the location of the check dam using the hydrological analysis method. A case study in the Jiuyuangou watershed shows that the precision and recall of the proposed dam-controlled area extraction approach are 98.56% and 82.40%, respectively, and the F1 score value is 89.76%. The completeness of the extracted dam locations is 94.51%, and the correctness is 80.77%. The results show that the proposed method performs well in identifying check dam systems and can provide important basic data for the analysis of spatial layout optimization and soil and water loss assessment. Full article
(This article belongs to the Special Issue Ecological Protection in the Yellow River Basin)
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28 pages, 3279 KiB  
Article
Spatiotemporal Dynamic Distribution, Regional Differences and Spatial Convergence Mechanisms of Carbon Emission Intensity: Evidence from the Urban Agglomerations in the Yellow River Basin
by Chaohui Zhang, Xin Dong and Ze Zhang
Int. J. Environ. Res. Public Health 2023, 20(4), 3529; https://doi.org/10.3390/ijerph20043529 - 16 Feb 2023
Cited by 5 | Viewed by 1655
Abstract
Low-carbon transition is of great importance in promoting the high-quality and sustainable development of urban agglomerations in the Yellow River Basin (YRB). In this study, the spatial Markov chain and Dagum’s Gini coefficient are used to describe the distribution dynamics and regional differences [...] Read more.
Low-carbon transition is of great importance in promoting the high-quality and sustainable development of urban agglomerations in the Yellow River Basin (YRB). In this study, the spatial Markov chain and Dagum’s Gini coefficient are used to describe the distribution dynamics and regional differences in the carbon emission intensity (CEI) of urban agglomerations in the YRB from 2007 to 2017. Additionally, based on the spatial convergence model, this paper analyzed the impact of technological innovation, industrial structure optimization and upgrading, and the government’s attention to green development on the CEI’s convergence speed for different urban agglomerations. The research results show that: (1) The probability of adjacent type transfer, cross-stage transfer, and cross-space transfer of the CEI of urban agglomerations in the YRB is small, indicating that the overall spatiotemporal distribution type of CEI is relatively stable. (2) The CEI of urban agglomerations in the YRB has decreased significantly, but the spatial differences are still significant, with a trend of continuous increase, and regional differences mainly come from the differences between urban agglomerations. (3) Expanding innovation output, promoting the optimization and upgrading of industrial structure, and enhancing the government’s attention to green development has a significant positive effect on the convergence rate of the CEI of urban agglomerations in the YRB. This paper holds that implementing differentiated emission reduction measures and actively expanding regional collaborative mechanisms will play an important role in reducing the spatial differences in carbon emissions in urban agglomerations in the YRB, realizing the goals of peak carbon and carbon neutrality. Full article
(This article belongs to the Special Issue Ecological Protection in the Yellow River Basin)
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16 pages, 2161 KiB  
Article
Land-Use Carbon Emissions in the Yellow River Basin from 2000 to 2020: Spatio-Temporal Patterns and Driving Mechanisms
by Mingjie Tian, Zhun Chen, Wei Wang, Taizheng Chen and Haiying Cui
Int. J. Environ. Res. Public Health 2022, 19(24), 16507; https://doi.org/10.3390/ijerph192416507 - 8 Dec 2022
Cited by 12 | Viewed by 1974
Abstract
In the context of global climate governance, the study of land-use carbon emissions in the Yellow River Basin is crucial to China’s “dual-carbon” goal in addition to ecological conservation and the high-quality developments. This paper computed the land-use carbon emissions of 95 cities [...] Read more.
In the context of global climate governance, the study of land-use carbon emissions in the Yellow River Basin is crucial to China’s “dual-carbon” goal in addition to ecological conservation and the high-quality developments. This paper computed the land-use carbon emissions of 95 cities in the Yellow River Basin from 2000 to 2020 and examined its characteristics with respect to spatio-temporal evolution and driving mechanisms. The findings are as follows: (1) The overall net land-use carbon emissions in the Yellow River Basin rose sharply from 2000 to 2020. (2) From a spatial perspective, the Yellow River Basin’s land-use carbon emissions are high in the middle-east and low in the northwest, which is directly tied to the urban development model and function orientation. (3) A strong spatial link exists in the land-use carbon emissions in the Yellow River Basin. The degree of spatial agglomeration among the comparable cities first rose and then fell. “Low–Low” was largely constant and concentrated in the upper reaches, whereas “High–High” was concentrated in the middle and lower reaches with an east-ward migratory trend. (4) The rates of economic development and technological advancement have a major positive driving effect. Moreover, the other components’ driving effects fluctuate with time, and significant geographical variance exists. Thus, this study not only provides a rationale for reducing carbon emissions in the Yellow River Basin but also serves as a guide for other Chinese cities with comparable climates in improving their climate governance. Full article
(This article belongs to the Special Issue Ecological Protection in the Yellow River Basin)
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