邯郸市广平县地下水动态变化及其影响因素分析

发布时间：2018-01-17 01:27

本文关键词：邯郸市广平县地下水动态变化及其影响因素分析　出处：《中国地质大学(北京)》2017年硕士论文　论文类型：学位论文

【摘要】：随着经济的快速发展,人们对地下水的开采量越来越大,致使地下水位下降、水质恶化等问题出现。本文以广平县为例,分析了广平县地下水水位埋深的动态变化以及影响地下水水位动态的因素,并统计了地下水水位时间序列的变化规律和人为调节开采量对地下水水位的影响。本文的研究内容对广平县地下水保护、地下水位统计、解决水资源短缺等问题有着重要意义。研究得出以下结果:1.研究了2006年到2015年三口井监测井的地下水水位月平均埋深数据,得到以下结论:总体上,三口井的地下水埋深都为增长趋势。城关、南盐池监测井在2013年开始出现下降趋势,但平固店监测井地下水一直在增长。2.分析1956-2015年广平县的降水日数得到:多年平均值为94.78天,春、夏、秋、冬四季分别为19.3天、42.52天、22.93天、10.02天,即冬季降水日数最少,夏季的降水日数最多,春季秋季两者相当。通过频谱分析,年降水日数在不同时间尺度上的周期性:11年、20年和5年;年降雨量在不同时间尺度上的周期性:4年、9年和3年;年降雨量没有呈现趋势性。3.利用广平县7口监测井从1998年到2013年地下水月平均埋深数据、月平均降雨量和全县开采量的数据得到:地下水埋深与降雨量没有呈现明显的相关关系,但丰水年时水位变化幅度小,枯水年时幅度大,说明降雨量水位也有着一定的影响。将7口监测井的水位埋深与全县开采量通过MATLAB建立最优关系模型,得到相关系数分别为0.66、0.91、0.88、0.86、0.85、0.77、0.92,表明地下水水位和开采量存在着很强的相关关系。利用SPSS软件分析开采量和降雨量对地下水水位的协同作用得到回归方程,其复相关系数为0.900。通过F和D-W检验模型的拟合度非常好,说明影响地下水水位的主要因素是开采量。4.利用城关监测井从2006年到2013年的96个月份的地下水位月埋深数据进行时间序列分析,得到联合模拟模型,其模型精度较高,可用于统计地下水水位的变化。为了控制地下水开采量实施了农业和水利两大节水措施,减少地下水开采量505.40万m3,使得城关和南盐池监测井水位恢复率分别为1.18%、6.13%,且项目区水位下降趋势较非项目区有明显的变缓趋势。
[Abstract]:With the rapid development of economy, more and more people exploit groundwater, which leads to the decline of groundwater level, deterioration of water quality and other problems. This paper takes Guangping County as an example. The dynamic changes of groundwater level depth and the factors affecting groundwater level dynamics in Guangping County are analyzed. The change law of groundwater level time series and the effect of artificial regulation of exploitation on groundwater level are analyzed. The research content of this paper is about groundwater protection and groundwater level statistics in Guangping County. It is of great significance to solve the problems of water shortage and so on. The following results are obtained: 1. The monthly average buried depth data of groundwater level in three well monitoring wells from 2006 to 2015 are studied. The conclusions are as follows: on the whole, the groundwater depth of the three wells is increasing. In 2013, the monitoring wells of Chengguan and South Yanchi began to show a downward trend. However, the groundwater of Pinggudian monitoring well has been increasing. 2. By analyzing the precipitation days of Guangping County from 1956 to 2015, the results show that the annual average value is 94.78 days, spring, summer and autumn. The winter seasons were 19.3 days, 42.52 days, 22.93 days and 10.02 days respectively, that is, the winter precipitation days were the least, the summer precipitation days were the most, and the spring and autumn were the same. The periodicity of annual precipitation days on different time scales: 11, 20 and 5 years; Periodicity of annual rainfall at different time scales: 4, 9 and 3 years; There is no trend of annual rainfall. 3. The monthly average groundwater depth data of 7 monitoring wells in Guangping County from 1998 to 2013 are used. The data of monthly average rainfall and the whole county mining amount obtained: the groundwater depth and rainfall have no obvious correlation, but the range of water level change is small in the high water year, and the range is large in the dry year. It shows that the rainfall level also has certain influence. The optimal relationship model between the water level buried depth of 7 monitoring wells and the whole county mining capacity is established by MATLAB, and the correlation coefficient is 0.66n0.91 respectively. 0.88,0.86,0.85,0.77,0.92. It is shown that there is a strong correlation between groundwater level and exploitation amount. The regression equation is obtained by using SPSS software to analyze the synergistic effect of mining quantity and rainfall on groundwater level. The complex correlation coefficient is 0.900.The fitting degree of the model tested by F and D-W is very good. It shows that the main factor affecting groundwater level is exploitation. 4. Time series analysis is carried out by using the monthly buried depth data of underground water level from 2006 to 2013 in the monitoring well of Chengguan. The joint simulation model is obtained, which has high precision and can be used to calculate the change of groundwater level. In order to control groundwater exploitation, two water-saving measures, agriculture and water conservancy, are implemented. By reducing groundwater exploitation by five million fifty-four thousand m3, the recovery rate of monitoring well water level in Chengguan and Nanyanchi is 1.18% and 6.13% respectively. The trend of water level decrease in the project area is obviously slower than that in the non-project area.
【学位授予单位】：中国地质大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P641.6

【相似文献】