Water temperature is one of the most important indicators of aquatic system, and accurate forecasting of water temperature is crucial for rivers. It is a complex process to accurately predict stream water temperature as it is impacted by a lot of factors (e.g., meteorological, hydrological, and morphological parameters). In recent years, with the development of computational capacity and artificial intelligence (AI), AI models have been gradually applied for river water temperature (RWT) forecasting. The current survey aims to provide a systematic review of the AI applications for modeling RWT. The review is to show the progression of advances in AI models. The pros and cons of the established AI models are discussed in detail. Overall, this research will provide references for hydrologists and water resources engineers and planners to better forecast RWT, which will benefit river ecosystem management.

水温是水生系统最重要的指标之一，准确预测水温对河流至关重要。由于受到许多因素（例如，气象，水文和形态参数）的影响，准确预测溪流水温是一个复杂的过程。近年来，随着计算能力和人工智能（AI）的发展，AI模型已逐渐应用于河水温度（RWT）预测。当前的调查旨在为RWT建模的AI应用程序提供系统的评估。该评论旨在显示AI模型的进步。详细讨论了已建立的AI模型的优缺点。总体，