Trade-offs in land-use competition and sustainable land development in the North China Plain

2019 ◽  
Vol 141 ◽  
pp. 36-46 ◽  
Author(s):  
Gui Jin ◽  
Kun Chen ◽  
Pei Wang ◽  
Baishu Guo ◽  
Yin Dong ◽  
...  
Keyword(s):  
Land Use ◽  
North China Plain ◽  
North China ◽  
Land Development ◽  
The North ◽  
The North China Plain ◽  
Trade Offs ◽  
Land Use Competition

Relationship between land-use and sources and fate of nitrate in groundwater in a typical recharge area of the North China Plain

2017 ◽  
Vol 609 ◽  
pp. 607-620 ◽  
Author(s):  
Shiqin Wang ◽  
Wenbo Zheng ◽  
Matthew Currell ◽  
Yonghui Yang ◽  
Huan Zhao ◽  
...  
Keyword(s):  
Land Use ◽  
North China Plain ◽  
North China ◽  
Recharge Area ◽  
The North ◽  
The North China Plain

scholarly journals Analysis of Climate and Land Use Changes Impacts on Land Degradation in the North China Plain

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Zhihui Li ◽  
Xiangzheng Deng ◽  
Fang Yin ◽  
Cuiyuan Yang
Keyword(s):  
Land Use ◽  
Economic Development ◽  
Land Degradation ◽  
North China Plain ◽  
North China ◽  
Land Use Changes ◽  
Land Quality ◽  
The North ◽  
The North China Plain ◽  
Land Improvement

Land degradation is a complex process which involves both the natural ecosystem and the socioeconomic system, among which climate and land use changes are the two predominant driving factors. To comprehensively and quantitatively analyze the land degradation process, this paper employed the Normalized Difference Vegetation Index (NDVI) as a proxy to assess land degradation and further applied the binary panel logit regression model to analyze the impacts of the driving factors on land degradation in the North China Plain. The results revealed that an increase in rainfall and temperature would significantly and positively contribute to the land improvement, and conversion from cultivated land to grassland and forest land showed positive relationship with land improvement, while conversion to built-up area will lead to land degradation. Besides, human agricultural intensification represented by fertilizer utilization will help to improve the land quality. The economic development may exert positive impacts on land quality to alleviate land degradation, although the rural economic development and agricultural production will exert negative impacts on the land and lead to land degradation. Infrastructure construction would modify the land surface and further resulted in land degradation. The findings of the research will provide scientific information for sustainable land management.

scholarly journals How to Meter Agricultural Pumping at Numerous Small-Scale Wells?—An Indirect Monitoring Method Using Electric Energy as Proxy

Water ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2477
Author(s):  
Lu Wang ◽  
Wolfgang Kinzelbach ◽  
Huaixian Yao ◽  
Jakob Steiner ◽  
Haijing Wang
Keyword(s):  
North China Plain ◽  
North China ◽  
Field Experiments ◽  
Electric Energy ◽  
Small Scale ◽  
Groundwater Abstraction ◽  
Monitoring Method ◽  
The North ◽  
The North China Plain ◽  
Trade Offs

The large number of users and the small scale of wells greatly complicate monitoring of groundwater abstraction in areas of intensive pumping by numerous smallholders such as in the North China Plain. This paper presents a study in a typical county in the North China Plain. It discusses the application and challenges of an indirect, energy-based approach to groundwater abstraction monitoring. Intensive field experiments at individual wells were carried out to provide a basis for the conversion from electric energy consumption to groundwater abstraction and to explore the feasibility of direct and indirect abstraction monitoring methods in the study area. The results show that the main challenge of electricity-to-water conversion lies in the large spread of conversion factors between wells. The conversion error at an individual well is found to be less than 20%. The same accuracy is achieved on spatially aggregated levels by testing only a small number of wells. Trade-offs can be made to obtain groundwater abstraction estimates at the required accuracy and with reasonable efforts regarding data collection. The analysis shows that energy-based groundwater abstraction monitoring outperforms direct water metering with respect to cost and robustness. It provides satisfactory data accuracy and equitability in regions where irrigation wells are powered by electricity.

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