本文選題：鄱陽湖區(qū) + 洪災(zāi)損失評估�。� 參考：《江西理工大學(xué)》2013年碩士論文

【摘要】：鄱陽湖區(qū)是我國洪澇災(zāi)害發(fā)生較為嚴(yán)重的地區(qū)，每年因洪澇災(zāi)害所造成的經(jīng)濟(jì)損失十分巨大。洪災(zāi)損失評估是防洪減災(zāi)領(lǐng)域中不可或缺的一部分，如何通過防洪非工程措施，對洪災(zāi)損失進(jìn)行準(zhǔn)確評估，這已是擺在我們面前關(guān)系到鄱陽湖區(qū)經(jīng)濟(jì)可持續(xù)發(fā)展的一項(xiàng)戰(zhàn)略任務(wù)，越來越受到鄱陽湖區(qū)政府部門的高度重視，因此有必要開展基于GIS的鄱陽湖區(qū)洪災(zāi)損失評估系統(tǒng)研究。 首先，論文概述了鄱陽湖區(qū)洪災(zāi)損失評估系統(tǒng)的研究背景及意義；對鄱陽湖區(qū)洪災(zāi)損失評估系統(tǒng)進(jìn)行了需求分析和總體設(shè)計(jì)，其中需求分析包括數(shù)據(jù)需求分析、用戶需求分析和功能需求分析，總體設(shè)計(jì)包括開發(fā)環(huán)境、框架結(jié)構(gòu)和設(shè)計(jì)模式，設(shè)計(jì)模式部分搭建了插件式GIS應(yīng)用框架。 其次，對鄱陽湖區(qū)洪災(zāi)損失評估系統(tǒng)應(yīng)用模型進(jìn)行了研究，闡述了應(yīng)用模型基礎(chǔ)GPU和BP神經(jīng)網(wǎng)絡(luò)，建立了GPU加速的洪水淹沒分析模型和BP神經(jīng)網(wǎng)絡(luò)洪災(zāi)損失評估模型。 然后，對鄱陽湖區(qū)洪災(zāi)損失評估系統(tǒng)數(shù)據(jù)庫進(jìn)行了概念模型設(shè)計(jì)和邏輯模型設(shè)計(jì)，在此基礎(chǔ)上完成了系統(tǒng)空間數(shù)據(jù)庫和屬性數(shù)據(jù)庫的建立工作，并通過空間數(shù)據(jù)庫引擎ArcSDE和ADO.NET技術(shù)實(shí)現(xiàn)了數(shù)據(jù)與Oracle的連接。 最后，以ArcGIS9.3為GIS平臺，以O(shè)racle10g為數(shù)據(jù)庫平臺，利用.NET平臺下的C#編程語言，采用C/S結(jié)構(gòu)，通過ArcGIS Engine組件技術(shù)和第三方插件Developer Express開發(fā)實(shí)現(xiàn)了鄱陽湖區(qū)洪災(zāi)損失評估系統(tǒng)，實(shí)現(xiàn)的主要功能包括基礎(chǔ)數(shù)據(jù)管理、基礎(chǔ)工情信息查詢與分析、GPU加速確定淹沒范圍、洪水預(yù)報(bào)和BP神經(jīng)網(wǎng)絡(luò)洪災(zāi)損失評估等。 鄱陽湖區(qū)洪災(zāi)損失評估系統(tǒng)建立的基于GPU加速的洪水淹沒分析模型能夠很好地發(fā)揮GPU并行處理與浮點(diǎn)運(yùn)算的能力，在保證計(jì)算精度的前提下快速獲取淹沒范圍，進(jìn)而向BP神經(jīng)網(wǎng)絡(luò)洪災(zāi)損失評估模型輸入實(shí)時(shí)洪水淹沒范圍影響因素，更好地反應(yīng)洪災(zāi)情況，，增強(qiáng)洪災(zāi)損失評估的準(zhǔn)確性。與此同時(shí)，鄱陽湖區(qū)洪災(zāi)損失評估系統(tǒng)還可以及時(shí)準(zhǔn)確地向抗洪救災(zāi)部門提供準(zhǔn)確的災(zāi)害情報(bào)，為防洪救災(zāi)決策提供科學(xué)支持服務(wù)，能夠產(chǎn)生較好的經(jīng)濟(jì)效益和社會效益，具有良好推廣應(yīng)用價(jià)值。
[Abstract]:Poyang Lake region is a serious area of flood disaster in China, and the economic loss caused by flood disaster is very huge every year.Flood disaster loss assessment is an indispensable part in flood control and disaster reduction field.This is a strategic task related to the sustainable development of economy in Poyang Lake area, which has been paid more and more attention by the government departments in Poyang Lake District. Therefore, it is necessary to carry out the research of flood disaster loss assessment system based on GIS in Poyang Lake region.First of all, the paper summarizes the research background and significance of the Poyang Lake area flood loss assessment system, and carries on the demand analysis and the overall design to the Poyang Lake area flood disaster loss assessment system, in which the demand analysis includes the data demand analysis.The overall design includes development environment, frame structure and design pattern. The part of design pattern builds plug-in GIS application framework.Secondly, the application model of flood damage assessment system in Poyang Lake region is studied. The application model based on GPU and BP neural network is expounded, and the GPU accelerated flood flood flood analysis model and BP neural network flood loss assessment model are established.Then, the conceptual model design and logical model design of flood disaster loss assessment system database in Poyang Lake region are carried out. On this basis, the establishment of system spatial database and attribute database is completed.The connection between data and Oracle is realized by spatial database engine ArcSDE and ADO.NET technology.Finally, using ArcGIS9.3 as GIS platform, Oracle10g as database platform, using C # programming language under. Net platform, adopting C / S structure, using ArcGIS Engine component technology and third party plug-in Developer Express to develop and realize Poyang Lake area flood disaster loss assessment system.The main functions realized include basic data management, information query and analysis of basic information, GPU accelerated determination of inundation range, flood forecast and BP neural network flood loss assessment, and so on.The flood flood flood analysis model based on GPU acceleration established by Poyang Lake area flood damage assessment system can give full play to the ability of GPU parallel processing and floating-point operation, and obtain the inundation range quickly under the premise of guaranteeing the calculation accuracy.Then, the paper inputted the influencing factors to the BP neural network flood loss assessment model, which can better reflect the flood situation and enhance the accuracy of flood loss assessment.At the same time, the Poyang Lake District Flood disaster loss Assessment system can also provide accurate disaster information to flood control and disaster relief departments in time, provide scientific support services for flood control and disaster relief decisions, and can produce better economic and social benefits.It has good application value.
【學(xué)位授予單位】：江西理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：P208;TV87;TP311.52

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