Inicio  /  Water  /  Vol: 6 Par: 6 (2014)  /  Artículo
ARTÍCULO
TITULO

Identifying Major Factors Affecting Groundwater Change in the North China Plain with Grey Relational Analysis

Xue Li    
Guomin Li and Yuan Zhang    

Resumen

The North China Plain (NCP) is facing a water crisis under the dual impact of natural and anthropogenic factors. Groundwater levels have declined continuously since 1960, causing a series of environmental problems that have restricted sustainable development in the region. In the present study, we first utilized a previously developed 3D groundwater model to determine changes in groundwater level in the region over the past 50 years (1961?2010). We then applied grey relational analysis (GRA) to identify and ordinate major factors that have contributed to these changes. The results show an overall decreasing trend in groundwater levels in this region over the past 50 years and an increase in the water table depth at a rate of approximately 0.36 m/a. Groundwater exploitation showed the most significant correlation with the groundwater table decline, when compared with other factors including precipitation and river leakage. Therefore, human activities should be considered the primary force driving the groundwater level down. The results of this study have implications for developing criteria that consider changes in both climate and socio-economics. Furthermore, since the NCP is one of the most water-scarce and densely populated regions in the world, the analytical approach used in and the insights gained from this study are of international interest.

 Artículos similares

       
 
Yan Fu, Qingwen Qi, Lili Jiang and Yapeng Zhao    
Accurately identifying the patterns of evolution in farmland plays an important role in optimizing farmland management. The aim of this study is to classify the evolution patterns of farmland in China and explore related mechanisms, providing a reference... ver más

 
James Simon Flynn, Cinzia Giannetti and Hessel Van Dijk    
In many manufacturing systems, anomaly detection is critical to identifying process errors and ensuring product quality. This paper proposes three semi-supervised solutions to detect anomalies in Direct Current (DC) Nut Runner engine assembly processes. ... ver más
Revista: AI

 
Hesham Algassim, Samad M. E. Sepasgozar, Michael Ostwald and Steven Davis    
The architecture service industry has typically been slow in accepting new digital technologies due to many reasons, such as the industry?s complexity, the diverse sizes of companies, client types, and stakeholders? technical skills. The combination of t... ver más
Revista: Buildings

 
Leilasadat Mirghaderi, Monika Sziron and Elisabeth Hildt    
There is an ever-increasing application of digital platforms that utilize artificial intelligence (AI) in our daily lives. In this context, the matters of transparency and accountability remain major concerns that are yet to be effectively addressed. The... ver más
Revista: AI

 
Claudia Patricia Colmenero-Chacón, Heriberto Morales-deAvila, Mélida Gutiérrez, Maria Vicenta Esteller-Alberich and Maria Teresa Alarcón-Herrera    
Groundwater salinization is a major threat to the water supply in coastal and arid areas, a threat that is expected to worsen by increased groundwater withdrawals and by global warming. Groundwater quality in Central Mexico may be at risk of salinization... ver más
Revista: Hydrology