An integrated prediction model for water supply-demand ability
Available Online September 2016.
- https://doi.org/10.2991/amitp-16.2016.105How to use a DOI?
- supply and demand ,simple polynomial regression prediction ,grey prediction,
- In this paper, a model is developed to measure the ability of water supply in a region, based on the dynamic nature of the factors that affect both supply and demand. We pick China, a water-strapped country, to begin our analysis. For water demand, we assume the water demand can be approximately thought as the water withdrawal consumption. The withdrawal is divided into three parts: agricultural, industrial and municipal. For water supply, we mainly consider surface water, underground water and desalination. Through the historical data from China, we get the fitting curves. Using simple polynomial regression prediction and grey prediction, we establish the model to predict the water withdrawal in the future. As for water supply, we build model by using linear regression prediction and polynomial prediction.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xiaozhu Jing PY - 2016/09 DA - 2016/09 TI - An integrated prediction model for water supply-demand ability BT - Proceedings of the 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016) PB - Atlantis Press SP - 528 EP - 531 SN - 2352-538X UR - https://doi.org/10.2991/amitp-16.2016.105 DO - https://doi.org/10.2991/amitp-16.2016.105 ID - Jing2016/09 ER -