Brackish water is a potential fresh water resource with lower salt content than seawater. Desalination of brackish water is an important option to alleviate the prevalent water crisis around the world. As a membrane technology ranging between UF and RO, NF can achieve the partial desalination via size exclusion and charge exclusion. So, it has been widely concerned and applied in treatment of brackish water during the past several decades. Hereon, an overview of the progress in research on and application of NF technology for brackish water treatment is provided. On the basis of expounding the features of brackish water, the factors affecting NF efficiency, including the feed water characteristics, operating conditions and NF membrane properties, are analyzed. For the ubiquitous membrane fouling problem, three preventive fouling control strategies including feed water pretreatment, optimization of operating conditions and selection of anti-fouling membranes are summarized. In addition, membrane cleaning methods for restoring the fouled membrane are discussed. Furthermore, the combined utilization of NF with other membrane technologies is reviewed. Finally, future research prospects are proposed to deal with the current existing problems. Lessons gained from this review are expected to promote the sustainable development of brackish water treatment with NF technology.

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Multi-intelligent decision-making has a good development at present. Based on a series of technologies such as artificial intelligence, multi-intelligent decision-making is involved in many aspects, and the country also attaches great importance to the development of such science and technology. At the same time, at present, the development of the sports industry is not balanced. Even if the country values the sports industry, it needs investment in science and technology. This paper studies the scheduling scheme of aerobics competition in sports competition. By introducing the design scheme of a multi-intelligent decision-making system and improving the MFDRL-CTDE algorithm, the similarity between the action sequence of participants in aerobics competition and the standard action sequence is obtained. Three algorithms including Markov, MFDRL-CTDE algorithm, and improved MFDRL-CTDE algorithm are used for simulation experiments, and the improved MFDRL-CTDE algorithm is more effective and stable for the decision-making of aerobics competition.