Economic value evaluation of water resources based on big data

With the rapid development of society and economy, the effective management and evaluation of water resources become more and more important. This study aims to make a more accurate assessment of the economic value of water resources by establishing a deep learning model based on big data. First of all, this paper summarizes the current research status of water resources economic value assessment methods in detail, and clarifies the theoretical basis of the research. Then the evaluation model is constructed, and the model is trained and verified with representative sample data. Further, the model is applied to the actual water resources assessment problem, and the results predicted by the model are analyzed and validated. The existing problems and possible solutions are also discussed. Overall, this study not only improves the understanding of the economic value of water resources, but also provides a basis for policy makers to make decisions to achieve more efficient and sustainable water management.