scholarly journals Estimating the Agricultural Water Productivity of the Yellow River Basin Based on Remote Sensing Data

10.5109/19543 ◽  
2011 ◽  
Vol 56 (1) ◽  
pp. 149-156
Author(s):  
Guoqiang Wang ◽  
Baolin Xue ◽  
Jingshan Yu ◽  
Kyoichi Otsuki
Keyword(s):  
Remote Sensing ◽  
River Basin ◽  
Yellow River ◽  
Water Productivity ◽  
Remote Sensing Data ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Agricultural Water ◽  
Sensing Data ◽  
The Yellow River Basin

Agricultural water productivity assessment for the Yellow River Basin

2011 ◽  
Vol 98 (8) ◽  
pp. 1297-1306 ◽  
Author(s):  
Ximing Cai ◽  
Yi-Chen E. Yang ◽  
Claudia Ringler ◽  
Jianshi Zhao ◽  
Liangzhi You
Keyword(s):  
River Basin ◽  
Yellow River ◽  
Water Productivity ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Agricultural Water ◽  
The Yellow River Basin ◽  
Productivity Assessment

scholarly journals How High-Quality Urbanization Affects Utilization Efficiency of Agricultural Water Resources in the Yellow River Basin under Double Control Action?

2020 ◽  
Vol 12 (7) ◽  
pp. 2869
Author(s):  
Xiling Zhang ◽  
Yusheng Kong ◽  
Xuhui Ding
Keyword(s):  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
Utilization Efficiency ◽  
The Yellow River ◽  
Agricultural Water ◽  
High Quality ◽  
Water Utilization ◽  
Urban Rural ◽  
The Yellow River Basin

To promote the high-quality development of the Yellow River Basin, the total amount and intensity of agricultural water must be controlled. Further speaking, an urbanization development system should be established that is compatible with water resources and the water environment. We adopted the stochastic frontier analysis model to measure the agricultural water utilization efficiency of the Yellow River Basin from 2007 to 2017. We also adopted the dynamic panel difference generalized method of moments (GMM) and system GMM models to verify the driving factors, in which population urbanization, economic urbanization, and equilibrium urbanization levels were selected as the key variables. The results show that the overall efficiency of agricultural water utilization maintained a steady upward trend during the research period. The spatial differentiation was generally characterized by higher efficiency levels in the eastern region and lower levels in the western region. The variation coefficient of water utilization efficiency showed a downward trend in general, which indicates a space spillover effect. Agricultural water utilization efficiency continued to converge from 2007 to 2017, and the upper reaches area converged relatively more quickly. Regarding the influencing factors, the population urbanization, economic urbanization, balanced urbanization, crop planting ratio, and rice planting ratio had negative effects on agricultural water utilization efficiency. Urbanization did not positively affect agricultural water use efficiency as the related theories, so urbanization quality and urban–rural integration should be paid more attention. However, technology innovation was significantly positive in agricultural water utilization efficiency. The influencing factors of per capita water availability and annual precipitation did not pass the significance test. Therefore, the government should vigorously promote the development of high-quality new-type urbanization, scientifically formulate the scale and speed of urbanization, strengthen the urban, rural, and industrial integration, and promote the adjustment of planting structures and agricultural deep processing.

scholarly journals Study on the Relationship between Topological Characteristics of Vegetation Ecospatial Network and Carbon Sequestration Capacity in the Yellow River Basin, China

2021 ◽  
Vol 13 (23) ◽  
pp. 4926
Author(s):  
Minzhe Fang ◽  
Guoxin Si ◽  
Qiang Yu ◽  
Huaguo Huang ◽  
Yuan Huang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Carbon Sequestration ◽  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Carbon Neutrality ◽  
Vegetation Carbon ◽  
The Yellow River Basin ◽  
The Relationship

Achieving carbon neutrality is a necessary effort to rid humanity of a catastrophic climate and is a goal for China in the future. Ecological space plays an important role in the realization of carbon neutrality, but the relationship between the structure of vegetation ecological space and vegetation carbon sequestration capacity has been the focus of research. In this study, we extracted the base data from MODIS products and other remote sensing products, and then combined them with the MCR model to construct a vegetation ecospatial network in the Yellow River Basin in 2018. Afterward, we calculated the topological indicators of ecological nodes in the network and analyzed the relationship between the carbon sequestration capacity (net biome productivity) of ecological nodes and these topological indicators in combination with the Biome-BGC model. The results showed that there was a negative linear correlation between the betweenness centrality of forest nodes and their carbon sequestration capacity in the Yellow River Basin (p < 0.05, R2 = 0.59). On the other hand, there was a positive linear correlation between the clustering coefficient of grassland nodes and their carbon sequestration capacity (p < 0.01, R2 = 0.49). In addition, we briefly evaluated the vegetation ecospatial network in the Yellow River BASIN and suggested its optimization direction under the background of carbon neutrality in the future. Increasing the carbon sequestration capacity of vegetation through the construction of national ecological projects is one of the ways to achieve carbon neutrality, and this study provides a reference for the planning of future national ecological projects in the Yellow River Basin. Furthermore, this is also a case study of the application of remote sensing in vegetation carbon budgeting.

scholarly journals Spatiotemporal Patterns of Ecosystem Service Value Changes and Their Coordination with Economic Development: A Case Study of the Yellow River Basin, China

2020 ◽  
Vol 17 (22) ◽  
pp. 8474
Author(s):  
Aijun Guo ◽  
Yongnian Zhang ◽  
Fanglei Zhong ◽  
Daiwei Jiang
Keyword(s):  
River Basin ◽  
Ecosystem Service ◽  
Yellow River ◽  
Spatial Scales ◽  
Remote Sensing Data ◽  
Kendall Test ◽  
Yellow River Basin ◽  
The Yellow River ◽  
The Yellow River Basin ◽  
The Stability

By integrating multiple remote sensing data sources this study accurately assesses the spatiotemporal characteristics of changes in ecosystem service values (ESVs) in the Yellow River Basin from 2000 to 2015 through Theil-Sen median trend analysis and the Mann-Kendall test. The stability and continuity of the ESVs were comprehensively characterized using coefficients of variation and the Hurst exponent. The degree of coherence between ESVs and economic growth (represented by gross domestic product GDP) on the same temporal and spatial scales was analyzed using ecological-economic coordination (EEC) models. The results show that (1) from 2001 to 2015 the total ESV and the ESV per unit area in the Yellow River Basin generally showed a U-shaped pattern (decreasing slightly then increasing rapidly). (2) The areas with increasing ESVs made up approximately 55.6% of the total area of the river basin. The areas with a decreasing pattern were mainly in the west and north of the Yellow River Basin. (3) The stability and continuity of the ESVs showed a clustered, compact distribution. (4) The most common level of EEC was slightly uncoordinated followed by slightly coordinated and highly coordinated. The proportion of coordinated areas was relatively higher in cultivated land and the lowest in built-up land.

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