PUB Working Group 6-2 (WG6-2): Evaluation and Prediction of Groundwater in Northern China

Objectives:

• Evaluate the status and change of groundwater during the last 30 years
  - collect data gathered over the last 30 years, and carry-out geo-statistical analysis
  - detect trends in groundwater during last 30 years
  - analyse variation of groundwater, in the context of climate variations and economic developments
  
  
• Develop an effective approach for predicting groundwater change
  develop an effective approach for predicting the change of groundwater Zhang and Su develop and adopt a statistical model Tang develops and adopts a conc eptual model Yang and Ni develop and adopt a distributed physically-based model

This working group addresses the key issue on uncertainty in groundwater prediction. This group will establish a comprehensive dataset of the groundwater in northern China, address the approaches to groundwater evaluation and prediction based on the currently available information. It first focuses on the large plain areas in the northern China where the water shortage is a key issue facing to the 21st century. It is also going to develop a guideline for protecting the over pumping of the groundwater by exploring the balance between the natural recharging to the groundwater and the artificial water pumping from the groundwater. It also offers the comparative study to the surface hydrology and enhances the exchanges among different working groups.

Key Participants:

• Mr Hong Zhang, Bureau of Hydrology, Ministry of Water Resources
• Zhaojie Zhang, Ministry of Land Sources
• Jialin Su, Bureau of Hydrology, Ministry of Water Resources
• Dawen Yang, Department of Hydraulic Engineering, Tsinghua University
• Guangheng Ni, Department of Hydraulic Engineering, Tsinghua University
• Lihua Tang, Department of Hydraulic Engineering, Tsinghua University
• Xianfang Song, Institute of Geographic Sciences & Natural Resources Research, Chinese Academy of Sciences
• Zhenghui Xie, Institute of Atmospheric Physics, Chinese Academy of Sciences
• Jun Xia, Chinese Academy of Sciences and Wuhan University