Research on Thermal Pollution Prediction in Regional Water Based on Fluent
Abstract: This paper set up a mathematical model by power plant cooling water used for predicting water temper-ature distribution effect of receiving waters; based on a domestic power plant in the river in summer and winter which are unfavorable hydrological conditions, under the power plant running normal condition and abnormal conditions in both cases, the water movement and diffusion rules of cooling water after entering water temperature were studied. Research found that: overall, the cooling water influence area of the temperature rise is mainly manifested in the downstream port within 250 m, mainly along the river longitudinal dispersion in the river. After 250 m, the temperature rise effect significantly reduces; temperature influence range significantly decreases, and the cooling water temperature is almost con-sistent with the river environment. Under the hydrological conditions of different seasons, in the obvious temperature rise effect region, the influence of the temperature rise of summer is more obvious than winter, and the transverse distribution range of summer is larger. In terms of different working conditions, the temperature rise effect change is not obvious, but for the influence on the temperature range change, the temperature rise effect of the abnormal condition is bigger. Finally, through the actual simulation of the predicted and the measured results, the verification results are more ideal, demonstrating that this model can be applied to similar engineering and research, and prediction results can provide the scientific basis for power plant design and environment evaluation.
文章引用: 安 强 , 舒 鑫 , 李雪琴 , 蒋韵秋 (2015) 基于Fluent模拟区域水体热污染预测研究。 水资源研究， 4， 496-505. doi: 10.12677/JWRR.2015.46062
 吴江航, 韩庆书, 张继春, 李平衡. 潮汐河道中热电厂冷却水系统水力热力数值模拟[J]. 计算物理, 1987(1): 35-45. WU Jianghang, HAN Qingshu, ZHANG Jichun and LI Pingheng. Hydraulic thermal numerical simulation of cooling water system for thermal power plant in tidal river. Computational Physics, 1987(1): 35-45. (in Chinese)
 王丽霞, 孙英兰, 田晖. 热扩散预测方法研究概况I. 影响海洋水温的因素[J]. 海洋科学, 1997(5): 24-25. WANG Lixia, SUN Yinglan and TIAN Hui. Thermal diffusion forecast method research I. The influence factors of the ocean temperature. Journal of Marine science, 1997(5): 24-25. (in Chinese)
 蒋春风. 感潮河段电厂温排水热影响范围的特征分析[J]. 河海大学学报, 1990(6): 114-121. JIANG Chunfeng. The characteristics analysis of tidal power plant cooling water heat affected scope. Journal of Hohai University, 1990(6): 114-121. (in Chinese)
MCGUIRK, J. J., RODI, W. A depth averaged mathematical model for near field of side discharges into open channel flow. Journal of Fluid Mechanics, 1978, 86(4): 761-781.
YAKHOT, V., ORSZAG, S. A. Renormalization group analysis of turbulence. Basic theory. Journal of Scientific Computing, 1986, 1(1): 3-51.
 RODRIGUES, A. C., DIOGO, P. A. and COELHO, P. S. Mathematical si-mulation on thermal discharges in an estuary. 8th International Conference on Hydraulic Engineering Software, Lisbon, Portugal, 2000.
ROMERO, C. E., et al. Development of an artificial neural network-based software for prediction of power plant canal water discharge temperature. Expert Systems with Applications, 29(4): 831-838.
 FOSSATI, M., SANTORO, P., URRESTARAZU, S. and PIEDRA-CUEVA, I. Numerical study of the effect of a power plant cooling water discharge in the Montevideo bay. Journal of Applied Mathematics, 2011, Article ID: 970467.
HOFMEISTERA, R., BOLDINGC, K., HETLANDD, R. D., SCHERNEWSKIB, G., SIEGELB, H. and BURCHARDB, H. The dynamics of cooling water discharge in a shallow, non-tidal embayment. Continental Shelf Research, 2013, 71: 68-77.