降雨量季节性变化对营山倒流河流域地下水位的影响

发布时间：2018-01-09 20:38

本文关键词：降雨量季节性变化对营山倒流河流域地下水位的影响　出处：《成都理工大学》2016年硕士论文　论文类型：学位论文

【摘要】：降雨量一直以来都是水文模型的非常重要的参数,同时,在防洪抗旱、河川径流、农田灌溉等方面也扮演着非常重要的角色,是研究水文水资源领域的学者的重点研究对象。营山乡倒流河流域位于乌蒙山区,属革命老区,经济欠发达。营山多年平均降雨量在1000mm以上,降水量非常充沛,水资源相对充足,但当地居民却存在用水难的问题。2011年当地发生严重旱情,由于当地缺乏完善的地下水系统资料及监测网络,给抗旱找水工作带来难度。为当地百姓寻找良好的水源是目前迫切需要解决的问题。为进一步揭示当地地下水动态变化特征,促进地下水资源的开发利用,为当地百姓建立良好水源,本文结合野外调查资料,对数据统计分析,并运用数值模拟对地下水位进行预测。对研究区地质条件、水文地质条件进行了详细调查及分析,查明了区内地下水的化学类型主要为基岩裂隙水;并且对含水岩组进行了划分,同时对岩组的富水性情况进行了探查,区内主要含水层为三叠系下统(T3x)砂岩与侏罗系中统沙溪庙组下段(J2s1)砂岩;对营山地下水的补径排条件进行了探查,查明营山地下水的补给情况,主要是接受降雨补给,通过地表径流或基岩裂隙以泉形式向倒流河及沟谷排泄;上述工作为建立完善的地下水监测系统提供了重要的依据。基于研究区一个水文年的降雨量监测数据,对每个月的降雨量,降雨强度,及降雨天数进行统计分析,并与多年平均降雨量数据进行比较,得出了当地降雨的季节性变化规律;对研究区2008年-2013年的全年降水量根据不同季节、汛期进行统计,分析降水量不同年份在不同季节的变化规律,及对地下水位的影响;利用R/S分析法,预测未来几年的降水量变化趋势,上述工作为建立水文地质概念模型提供重要参数依据。对营山的地质条件和水文地质条件进行探查后,基于这些条件对营山建立的模型的边界条件以及源汇项的统计进行了概化处理,运用数值模拟软件visual modflow建立地下水流的水文地质概念模型和数值模型,并对季节性降雨条件下地下水位进行预测及校正检验。
[Abstract]:Rainfall has always been a very important parameter of hydrological model, at the same time, it also plays a very important role in flood control and drought resistance, river runoff, farmland irrigation and so on. Yingshan backflow river basin is located in Wumeng Mountain area, which is an old revolutionary area with underdeveloped economy. The annual average rainfall of Yingshan is more than 1000mm. The precipitation is very abundant, the water resources are relatively sufficient, but the local residents are difficult to use water. In 2011, serious drought occurred in the local area, because of the lack of perfect groundwater system data and monitoring network. It is an urgent problem to find a good water source for the local people. In order to further reveal the dynamic characteristics of local groundwater and promote the development and utilization of groundwater resources. In order to establish a good water source for local people, this paper combined with field investigation data, statistical analysis of the data, and the use of numerical simulation to predict the groundwater level, and the geological conditions of the study area. The hydrogeological conditions are investigated and analyzed in detail. It is found that the main chemical types of groundwater in this area are bedrock fissure water. The water-bearing rock formation is divided and the water-rich condition of the rock formation is explored. The main aquifers in the area are Triassic Lower Triassic T3x sandstone and Jurassic Lower Shaximiao formation Lower Shaximiao formation (J2s1) sandstone. The recharge condition of underground water in Yingshan is probed into, and the recharge of groundwater in Yingshan is found out, which is mainly to accept rainfall recharge and drain to the river and gully in the form of spring through surface runoff or bedrock fissure. The above work provides an important basis for the establishment of a perfect groundwater monitoring system. Based on the rainfall monitoring data of a hydrological year in the study area, the monthly rainfall and rainfall intensity are analyzed. And the statistical analysis of rainfall days, and the comparison with the average rainfall data for many years, the seasonal variation of local rainfall is obtained. The precipitation of the whole year from 2008 to 2013 in the study area was counted according to different seasons and flood periods, and the variation law of precipitation in different seasons and its influence on groundwater level were analyzed. The precipitation trend in the next few years is predicted by using R- S analysis method. The above work provides important parameter basis for the establishment of hydrogeological conceptual model. The geological conditions and hydrogeological conditions of Yingshan are probed. Based on these conditions, the boundary conditions and the statistics of the source and sink terms of the model established in Yingshan are generalized. The hydrogeological conceptual model and numerical model of groundwater flow are established by using numerical simulation software visual modflow, and the groundwater level under seasonal rainfall is forecasted and corrected.
【学位授予单位】：成都理工大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：P641;P426.6

【相似文献】