Water productivity maximization and ecosystem monitoring to estimate tourism economic value

Maozheng Fu, Zhenrong Luo, Liying Feng, Xiaoping Que
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Abstract

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.
水生产力最大化与生态系统监测估算旅游经济价值
基于不同用途的生产力指标的共同池资源的供水是干旱地区规划的目标之一。生产力指标是根据时间、地理位置和水文条件,以粮食安全、经济效益和生态系统恢复的形式确定的。本研究旨在评价安徽省六安市水资源开发经济指标与粮食安全的对比。利用拉丁超立方体技术对水文变量和水资源进行了基于不确定值预测的概率建模。模拟了数据挖掘和因变量趋势分析的方法来估算水循环中的经济价值。收集1991 - 2022年32年的统计资料,作为人均年平均值。结果表明,与农业相比,旅游业用水量的经济价值有所增加。为粮食安全提供的总水量相当于每人6.5立方米,超过的水量可以通过基于生态系统和质量的加权指标分配给其他用途。
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