基于MODFLOW和进化算法的济南泉域地下水数值模拟研究

发布时间：2018-06-16 10:07

本文选题：济南泉域 + 岩溶裂隙水　；参考：《合肥工业大学》2017年硕士论文

【摘要】：济南名泉诸多,具有数千年的历史文化,其独特的自然景观与人文情怀著称于世。济南泉域地下水资源在促进城市经济发展、保持城市景观特色以及保障人民和谐生活中扮演着相当重要的角色。但由于城市经济的发展、城市化建设加快、城区规模扩展以及人口数量的不断庞大,导致地下水资源短缺与人类社会生存发展对水资源高需求的矛盾日益突出。因此,开展济南泉域地下水数值模拟研究对于保障济南泉域和地下水资源可持续开发利用和水资源优化配置具有重要的参考价值。本论文基于国内外相关研究以及济南自然地理、社会经济、水文地质条件以及水资源利用状况等,通过对济南泉域原始资料的梳理,确定了研究区模拟范围,并依照研究区真实情况,确定了源汇项的选择,建立了济南泉域水文地质概念模型。为了对其进行数值求解,根据实测水文地质资料、气象条件、水资源利用状况以及观测井水位等数据,通过将进化算法与MODFLOW程序耦合对含水层主要参数进行反求,以2012年10月1日至2013年9月30日作为模型的模拟识别期,2013年10月1日至2014年9月30日作为模型的验证期确定了所建模型的可靠性,并对进化算法在含水层参数反求实际应用中的结果做了相应的讨论。得出主要结论与成果如下:(1)根据资料分析和现场调研,提取研究区268个有效钻孔,建立了济南泉域水文地质概念模型和数学模型;(2)将模型参数求解的快速和谐搜索算法首次应用至济南泉域,克服了以往人工手动调参的劣势以及传统进化算法在全局寻优上的能力不足问题;(3)将进化算法与MODFLOW程序耦合,实现了对地下水模型进行数值求解,解决了观测资料相对不完备情况下的模型求参难题,在满足模型精度的前提下,大大节约了数值求解所需时间;(4)模拟计算值与观测值偏差小于0.5m的结点约占45%,在0.5m~1m间的结点约占30%,水位模拟计算值在时间序列走势上与观测水位走势基本一致,进一步验证了优化算法在水文地质领域的应用前景,可为济南泉域优化管理模型的建立提供有力支撑。
[Abstract]:Jinan has thousands of years of history and culture, its unique natural landscape and humanistic feelings are famous in the world. Groundwater resources in Jinan spring region play a very important role in promoting the development of urban economy, maintaining the characteristics of urban landscape and ensuring the people's harmonious life. However, due to the development of urban economy, the acceleration of urbanization construction, the expansion of urban scale and the continuous huge population, the contradiction between the shortage of groundwater resources and the high demand for water resources for the survival and development of human society has become increasingly prominent. Therefore, the study of groundwater numerical simulation in Jinan spring region has important reference value for ensuring the sustainable development and utilization of groundwater resources and the optimal allocation of water resources in Jinan spring region. Based on the related researches at home and abroad as well as the physical geography, social economy, hydrogeological conditions and the utilization of water resources in Jinan, this paper determines the simulation scope of the study area by combing the original data of Jinan spring region. According to the real situation of the study area, the selection of source and sink term is determined, and the hydrogeological conceptual model of Jinan spring region is established. In order to solve the problem numerically, based on the measured hydrogeological data, meteorological conditions, water resource utilization and water level of observation wells, the main parameters of aquifer are inversely obtained by coupling the evolutionary algorithm with MODFLOW program. Using 1 October 2012 to 30 September 2013 as the model simulation identification period and 1 October 2013 to 30 September 2014 as the validation period for the model to determine the reliability of the model, The results of evolutionary algorithm in the practical application of aquifer parameter inversion are also discussed. The main conclusions and results are as follows: 1) according to the data analysis and field investigation, 268 effective boreholes were extracted from the research area. In this paper, the hydrogeological conceptual model and mathematical model of Jinan spring domain are established. The fast and harmonious search algorithm for solving model parameters is applied to Jinan spring domain for the first time. It overcomes the disadvantage of manual parameter adjustment in the past and the problem of insufficient ability of traditional evolutionary algorithm in global optimization. The evolutionary algorithm is coupled with MODFLOW program and the groundwater model is solved numerically. The model parameter problem is solved under the condition of incomplete observation data, and the model accuracy is satisfied. The time required for numerical solution is greatly saved.) the number of nodes in which the calculated value is less than 0.5 m and the node between the 0.5m~1m and the observed value is about 45m, and the calculated value of water level simulation is basically consistent with the observed water level trend in the trend of time series. The application prospect of the optimization algorithm in hydrogeological field is further verified, and it can provide a strong support for the establishment of optimal management model in Jinan spring region.
【学位授予单位】：合肥工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P641.6

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