A New Kind of Water Resources Evaluation Standard

DOI

10.2991/wartia-16.2016.143How to use a DOI?

Keywords

L-WSCI, water resource, water scarcity.

Abstract

First,I begin by establishing the L-WSCI model that takes the factors that affect both supply and demand. These are population growth rate, water availability, domestic, industrial and ecological water usage. This model is developed from the traditional WSCI model. The model’s testing results, whose parameters are determined using data from China Statistical Yearbook, match perfectly with the water scarcity map, suggesting the validity of our improved model.Second, Tianjing is chosen in further investigation, where I invoke the L-WSCI model to assess the water resource situation. Based on the data like population, industrial water demand and other parameters in the L-WSCI model, concluding that physical scarcity is the primary cause for water scarcity, rather than economic scarcity.Third, using Grey Forecasting Model to get all the parameters in the L-WSCI model, and then these components are substituted to the L-WSCI model, so I obtain the relatively accurate water situation in 15 years for the chosen region. The results show that in pace with increasing of the value of the L-WSCI model, the water situation of Tianjingin 15 years become worse. And I find the physical scarcity is still the primary cause for water scarcity. For the citizens in Tianjing, they get the smaller annual per capita domestic demand than that in 2012.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chaowei Wang
PY  - 2016/05
DA  - 2016/05
TI  - A New Kind of Water Resources Evaluation Standard
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 688
EP  - 691
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.143
DO  - 10.2991/wartia-16.2016.143
ID  - Wang2016/05
ER  -