Assessment and Improvement Model Plan for the Current Situation of Water Resources Problems
- https://doi.org/10.2991/icmmita-16.2016.128How to use a DOI?
- water resources problems; evaluation model; assuming tips
With the rapid deterioration of the world's water resources problem, we need a set of assessment and improvement plan for the current situation. Firstly, with the authoritative historical data, we establish the evaluation model for water-supply ability to measure the ability of a region to provide clean water resources to meet the needs of its population, which can reflect the water resources bearing capacity of a region simply and reliably. Secondly, considering that the reason and degree of water shortage are both different in different regions, so we manage to build the Quadratic Fuzzy Evaluation Model. Then when it comes to the driving factors of water shortage in Shandong Province, we establish the optimal allocation model of water resources and manage to apply it to Shandong Province. We achieve the optimal allocation of the water usage in Shandong Province, which means reaching the maximum economic benefit and the minimum environmental pollution target at the same time. By the total quantity control, we can provide scientific advice and basis for the relevant departments, which can analyze and deal with the situation of the severe water shortage in Shandong Province well. Finally, we test and evaluate the advantages and disadvantages of the model and propose an improved scheme.
- © 2017, 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/).
Cite this article
TY - CONF AU - Shi Feng PY - 2017/01 DA - 2017/01 TI - Assessment and Improvement Model Plan for the Current Situation of Water Resources Problems BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SP - 693 EP - 696 SN - 2352-538X UR - https://doi.org/10.2991/icmmita-16.2016.128 DO - https://doi.org/10.2991/icmmita-16.2016.128 ID - Feng2017/01 ER -