The spatial and temporal distribution of nitrogen flow in the agricultural system and green development assessment of the Yellow River Basin

2022 ◽  
Vol 263 ◽  
pp. 107425
Author(s):  
Jiaxin Liu ◽  
Yan Li ◽  
Yiming Zheng ◽  
Sijie Tong ◽  
Xuechen Zhang ◽  
...  
Keyword(s):  
Yellow River ◽  
Temporal Distribution ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Agricultural System ◽  
Spatial And Temporal Distribution ◽  
Nitrogen Flow ◽  
Green Development ◽  
The Yellow River Basin ◽  
Development Assessment

scholarly journals Landsat TM/OLI-Based Ecological and Environmental Quality Survey of Yellow River Basin, Inner Mongolia Section

2021 ◽  
Vol 13 (21) ◽  
pp. 4477
Author(s):  
Wenlong Gao ◽  
Shengwei Zhang ◽  
Xinyu Rao ◽  
Xi Lin ◽  
Ruishen Li
Keyword(s):  
River Basin ◽  
Inner Mongolia ◽  
Yellow River ◽  
Temporal Distribution ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Spatial And Temporal Distribution ◽  
Ecological Quality ◽  
Diagnostic Values ◽  
The Yellow River Basin

The monitoring and maintenance of the Inner Mongolia section of the Yellow River Basin is of great significance to the safety and development of China’s Yellow River Economic Belt and to the protection of the Yellow River ecology. In this study, we calculated diagnostic values from a total of 520 Landsat OLI/TM remote sensing images of the Yellow River Basin of Inner Mongolia from 2001 to 2020. Using the RSEI and the GEE Cloud Computing Jigsaw, we analyzed the spatial and temporal distribution of diagnostic values representative of the basin’s ecological status. Further, Mantel and Pearson correlations were used to analyze the significance of environmental factors in affecting the ecological quality of cities along the Yellow River within the study area. The results indicated that the overall mean of RSEI values rose at first and then fell. The RSEI grade to land area ratio was calculated to be highest in 2015 (excellent) and worst in 2001. From 2001 to 2020, ecological quality monitoring process of main cities in the Inner Mongolia region of the Yellow River Basin. Hohhot, Baotou, and Linhe all have an RSEI score greater than 0.5, considered average. However, Dongsheng had its best score (0.60, good) in 2005, which then declined and increased to an average rating in 2020. The RSEI value for Wuhai reached excellent in 2010 but then became poor in 2020, dropping to 0.28. The analysis of ecological quality in the city shows that the greenness index (NDVI) carried the most significant impact on the ecological environment, followed by the humidity index (Wet), the dryness index (NDBSI), the temperature index (Lst), land use, and then regional gross product (RGP). The significance of this study is to provide a real-time, accurate, and rapid understanding of trends in the spatial and temporal distribution of ecological and environmental quality along the Yellow River, thereby providing a theoretical basis and technical support for ecological and environmental protection and high-quality development of the Yellow River Basin.

scholarly journals Study on the spatial distribution of water resource value in the agricultural system of the Yellow River Basin

Water Policy ◽  
2021 ◽  
Author(s):  
Huiliang Wang ◽  
Shuoqiao Huang ◽  
Danyang Di ◽  
Yu Wang ◽  
Fengyi Zhang
Keyword(s):  
Spatial Distribution ◽  
Water Resources ◽  
River Basin ◽  
Water Resource ◽  
Yellow River ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Agricultural System ◽  
Resource Value ◽  
The Yellow River Basin

Abstract To analyze the spatial distribution characteristics of water resource value in the agricultural system of the Yellow River Basin, this paper takes the Yellow River Basin as its research object and studies the spatial distribution characteristics and influencing factors of water resource value in the agricultural system using the emergy theory and method, the spatial autocorrelation analysis method, and the spatial regression model. The results show that (1) the value of water resources in the agricultural system ranges from 0.64 to 0.98$/m3, and the value in the middle and lower reaches of the basin is relatively high; (2) the Moran index of the water resource value in the agricultural system is 0.2772, showing a positive spatial autocorrelation feature. Here, ‘high-high (high value city gathering)’ is the main aggregation mode, which is mainly concentrated in the middle and lower reaches of the basin. (3) The spatial error model, moreover, has the best simulation effect. The cultivated land area, total agricultural output value, agricultural labor force, and total mechanical power have a significant positive impact on the agricultural production value of water resources in the Yellow River Basin; the altitude, annual average temperature, and agricultural water consumption have a negative impact. Overall, this study shows that guiding the distribution of water resources according to their value and increasing agricultural water use in the middle and lower reaches of the basin will help improve the overall agricultural production efficiency of water resources in the basin.

scholarly journals Resource Endowment, Industrial Structure, and Green Development of the Yellow River Basin

2021 ◽  
Vol 13 (8) ◽  
pp. 4530
Author(s):  
Kang Zhao ◽  
Rui Zhang ◽  
Hong Liu ◽  
Geyi Wang ◽  
Xialing Sun
Keyword(s):  
Environmental Protection ◽  
River Basin ◽  
Industrial Structure ◽  
Yellow River ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Green Development ◽  
Resource Endowment ◽  
The Yellow River Basin ◽  
The Impact

The Yellow River Basin is an important energy base of China, and its green development is crucial to Chinese economic transformation. In this paper, we calculate the green total factor productivity (GTFP) to measure the green development level of the Yellow River Basin by using an Slack Based Model- Global Malmquist-Luenberger (SBM-GML) index model. On this basis, we use a Generalized Method of Moments (GMM) model to further analyze the impact of resource endowment and industrial structure on the green development of cities. The results show that resource endowment inhibits the green development of cities and that the resource curse is observed in the Yellow River Basin. The industrial structure advancement significantly promotes the green development of cities. The impact of industrial structure rationalization on green development varies significantly on the type of city. Specifically, it has an inhibiting effect on key environmental protection cities but a promoting effect on non-key environmental protection cities.

scholarly journals Inheritors of the Yellow River: the relationship of heritage making practices to cultural self-confidence in China

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Wanlin Zhang ◽  
Stuart Walker ◽  
Martyn Evans ◽  
Julia Bennett
Keyword(s):  
Cultural Awareness ◽  
Yellow River ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Chinese Government ◽  
Active Involvement ◽  
Self Confidence ◽  
Support Mechanisms ◽  
The Yellow River Basin ◽  
Relationship Of

AbstractThrough active involvement in UNESCO’s ICH (Intangible Cultural Heritage) programme, China has developed its own framework to support traditional making practices. To examine the ‘characteristics’ of heritage crafts preservation in China, we undertook empirical research in the Yellow River basin. Our research involved in-depth observations and key informant interviews with a range of highly accomplished craftspeople who have inherited their particular expertise from their family and have been officially designated ICH Inheritors. Through our qualitative research with inheritors, a businessperson and a government official, we identified various support mechanisms employed by the Chinese government that aim to protect traditional culture while also recognising outstanding individuals. We also found that ICH Inheritors play an important role in raising cultural awareness and enhancing cultural confidence through their creative activities and making practices, craft businesses and transfer of expertise. Based on the findings, potential areas where designers may collaborate with inheritors were identified.

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