Water productivity maximization and ecosystem monitoring to estimate tourism economic value

Abstract

Water supply from a common pool resource based on productivity indicators for different uses is one of the goals of planning in dry areas. Productivity indicators are defined based on time, geographical location and hydrological conditions in the form of food security, economic benefits and ecosystem restoration. This study was conducted in order to evaluate the contrast between economic criteria and food security in the exploitation of water resources in Lu'an city in Anhui province of China. Probabilistic modeling based on the prediction of uncertain values using the Latin hypercube technique was used for hydrological variables and water resources. The method of data mining and trend analysis of dependent variables was also simulated to estimate economic values in the water cycle. Statistical information of 32 years from 1991 to 2022 has been collected and used as an annual average per population. The results showed that the economic value of water consumption in the tourism industry has increased compared to agriculture. The total water provided for food security is equal to 6.5 m3 per person, the excess of which can be allocated to other uses through weighting indicators based on ecosystem and quality. HIGHLIGHTS The bargaining approach in water supply between the two beneficiaries of agriculture and tourism has been evaluated.; The results showed that the increase in water permits in the tourism industry has increased the economic value of water allocation.; The bargaining model showed that the weight of food security is more in the desirable functions of the ecosystem.;

Keywords

• common pool resources
• data mining
• trend analysis
• water supply