本文選題：海水入侵 + 地球物理探測(cè)��； 參考：《濟(jì)南大學(xué)》2014年碩士論文

【摘要】：海水入侵問題自從被發(fā)現(xiàn)并得到科學(xué)界的關(guān)注以來已經(jīng)過一個(gè)多世紀(jì)的廣泛調(diào)查和深入研究。目前已經(jīng)在海水入侵的定義、入侵的機(jī)理、調(diào)查方法、監(jiān)測(cè)技術(shù)和數(shù)學(xué)模擬等方面取得顯著的成績(jī)。 榮成市近年來由于過量開采地下水造成水位下降，導(dǎo)致海水向地下淡水體入侵，水質(zhì)惡化，給當(dāng)?shù)氐娘嬎踩凸まr(nóng)業(yè)生產(chǎn)帶來了極大的危害。論文在分析榮成市多年海水入侵監(jiān)測(cè)資料的基礎(chǔ)上，對(duì)區(qū)域海水入侵情況開展調(diào)查，用水位監(jiān)測(cè)和水文地球化學(xué)分析的技術(shù)掌握了海水入侵范圍；應(yīng)用基于MATLAB的BP神經(jīng)網(wǎng)絡(luò)進(jìn)行了模型的訓(xùn)練和海水入侵預(yù)測(cè)。研究成果主要有： （1）根據(jù)水文地球化學(xué)檢測(cè)結(jié)果，繪制了Piper三線圖，分析了榮成市地下水由內(nèi)陸、過渡區(qū)到海侵區(qū)，淡水、微咸水和咸水的地下水化學(xué)類型為HCO3-Ca、HCO3·C1-Ca·Mg和Cl·SO4-Mg·Na型水，礦化度逐漸增加，地下水水質(zhì)變差。 （2）對(duì)研究區(qū)的主要監(jiān)測(cè)井進(jìn)行了Auslog數(shù)據(jù)采集，通過對(duì)Gamma測(cè)線的解譯，掌握了區(qū)域水文地質(zhì)、含水層巖性等情況；對(duì)研究區(qū)兩個(gè)主要海水入侵剖面的地層進(jìn)行高密度電阻率儀監(jiān)測(cè)，由解譯圖像分析了咸淡水界面線和含水層分布等情況。通過調(diào)查，榮成市海水入侵層位為潛水微承壓含水層，含水層埋深主要在10~30m之間，該含水層以粉砂和中砂為主，含水層的透水性和聯(lián)系性較好，為海水入侵提供了良好的通道。 （3）繪制了榮成市海水入侵面積圖及礦化度等值線圖。據(jù)統(tǒng)計(jì)，2013年榮成市海水入侵面積達(dá)到81.10km2，2003年到2013年10年間增長(zhǎng)了44km2。2011年海水入侵面積較上年激增94%，分析原因可能與該年濱海區(qū)地下水大量超采，造成海水沿地下水漏斗侵溯有關(guān)。2011年~2013年海水入侵面積增長(zhǎng)緩慢，2012年甚至出現(xiàn)回退現(xiàn)象，分析與該年榮成市水資源總量較水平年有大幅提升有關(guān)。且當(dāng)?shù)赜嘘P(guān)部門實(shí)施用水總量控制，嚴(yán)格限制了地下水的開采也一定程度上遏制了海水的侵溯。 （4）運(yùn)用基于MATLAB編程的BP神經(jīng)網(wǎng)絡(luò)模型，通過對(duì)模型的初步訓(xùn)練，預(yù)測(cè)了榮成市海水入侵發(fā)展的宏觀趨勢(shì)，提出維持現(xiàn)有地下水開采量，加大濱海區(qū)含水層的回灌力度等是避免海水入侵面積進(jìn)一步增長(zhǎng)有效方式。 論文的研究加強(qiáng)了膠東半島最東端以基巖為主的海岸地帶海水入侵情況的調(diào)查，，結(jié)合之前在萊州灣進(jìn)行的廣泛的海水入侵調(diào)查，使得膠東半島海岸帶的海水入侵分布圖更加完整，為以后開展更為深入的海水入侵研究做了先期的準(zhǔn)備。文章運(yùn)用BP神經(jīng)網(wǎng)絡(luò)模型模擬了未來可能的海水入侵情況并給出潛在的影響因素，為海水入侵的控制及下一步治理措施的制定打下堅(jiān)實(shí)的基礎(chǔ)。
[Abstract]:The problem of seawater intrusion has been investigated and studied extensively for more than a century since it was discovered and paid attention to by the scientific community. At present, remarkable achievements have been made in the definition, mechanism, investigation method, monitoring technology and mathematical simulation of seawater intrusion. In recent years, the water level of Rongcheng City has dropped due to the overexploitation of groundwater, which leads to the invasion of seawater into underground fresh water body and the deterioration of water quality, which brings great harm to the local drinking water safety and industrial and agricultural production. On the basis of analyzing the monitoring data of seawater intrusion in Rongcheng city for many years, the paper investigates the situation of seawater intrusion in the region, and grasps the scope of seawater intrusion by using the techniques of water level monitoring and hydrogeochemical analysis. BP neural network based on MATLAB is applied to model training and seawater intrusion prediction. The main research results are as follows: 1) based on the hydrogeochemical test results, the Piper third line map is drawn, and the groundwater in Rongcheng city is analyzed from inland, transitional area to transgressive area, fresh water. The chemical types of groundwater in brackish water and brackish water are HCO3-CaHCO3C1-Ca mg and ClSO4-MgNa type water, and the mineralization degree increases gradually, and the groundwater quality becomes worse. The main monitoring wells in the study area are collected by Auslog data collection, and the Gamma line is interpreted. The regional hydrogeology and aquifer lithology are mastered, and the strata of two main seawater intrusion profiles in the study area are monitored by high density resistivity meter, and the distribution of salt and fresh water interface and aquifer are analyzed by interpretation image. According to the investigation, the intrusive horizon of seawater in Rongcheng city is the groundwater micro-confined aquifer, the depth of the aquifer is mainly between 10m and 30m, the aquifer is mainly silty sand and medium sand, and the aquifer has good permeability and connection. The area map of seawater intrusion and the contour map of salinity in Rongcheng City were drawn. According to statistics, the area of seawater intrusion reached 81.10km2 in Rongcheng City in 2013, and the area of seawater intrusion increased by 94 percent in the 10 years of 44km2.2011 from 2003 to 2013 compared with the previous year. The reason for the analysis may be due to the excessive exploitation of groundwater in the coastal area in that year. The area of seawater intrusion increased slowly from 2011 to 2013, and even retrogression occurred in 2012. The analysis is related to the increase of total water resources in Rongcheng City in that year compared with the level year. Moreover, the local departments concerned implement the total water use control, which strictly limits the exploitation of groundwater and to some extent restrains the invasion of seawater. 4) using the BP neural network model based on MATLAB programming, through the initial training of the model, The macroscopical trend of seawater intrusion in Rongcheng City is forecasted. It is suggested that the effective way to avoid further increase of seawater intrusion area is to maintain the existing groundwater exploitation amount and increase the recharge intensity of the aquifer in the coastal area. The research in this paper strengthens the investigation of seawater intrusion in the coastal zone of the easternmost part of Jiaodong Peninsula, which is dominated by bedrock, combined with the extensive investigation of seawater intrusion carried out in Laizhou Bay. It makes the distribution map of seawater intrusion in the coastal zone of Jiaodong Peninsula more complete, and makes a preliminary preparation for the further study of seawater intrusion. In this paper, BP neural network model is used to simulate the possible seawater intrusion in the future and the potential influencing factors are given, which will lay a solid foundation for the control of seawater intrusion and the formulation of the next control measures.
【學(xué)位授予單位】：濟(jì)南大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：P731.2

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