無(wú)錫梁溪河水質(zhì)模型及其不確定性分析
本文關(guān)鍵詞: 水質(zhì)模型 參數(shù)率定 靈敏度分析 不確定性分析 出處:《南京大學(xué)》2017年碩士論文 論文類型:學(xué)位論文
【摘要】:以梁溪河和京杭運(yùn)河無(wú)錫段的網(wǎng)狀水系為研究區(qū),根據(jù)區(qū)域水動(dòng)力路徑以及水流控制條件對(duì)河網(wǎng)水系進(jìn)行概化,基于MIKE11 AD模型建立梁溪河水質(zhì)模型,使用2013-2014年水文實(shí)測(cè)資料和水質(zhì)監(jiān)測(cè)數(shù)據(jù)對(duì)水量-水質(zhì)模型進(jìn)行率定與驗(yàn)證。在此基礎(chǔ)上,采用Morris法對(duì)梁溪河水質(zhì)模型的率定參數(shù)進(jìn)行了靈敏度分析,使用GLUE法對(duì)建立的梁溪河水質(zhì)模型進(jìn)行輸入數(shù)據(jù)與參數(shù)的不確定性綜合研究。研究結(jié)果表明:(1)MIKE11模型在研究區(qū)域具備很好的適用性。(2)河床糙率系數(shù)為第Ⅲ類敏感性系數(shù),而擴(kuò)散系數(shù)屬第Ⅰ類敏感性系數(shù)。河床糙率取值越大,模擬水位越高。(3)COD的不確定性主要來(lái)源于參數(shù)n和D;TP的不確定性主要來(lái)源于擴(kuò)散系數(shù)D。與COD相比,TP更容易受輸入數(shù)據(jù)的不確定性的影響。無(wú)錫梁溪河的水質(zhì)模型的不確定性主要來(lái)源于參數(shù)的不確定性。
[Abstract]:Taking the network water system in Wuxi section of Liangxi River and Beijing-Hangzhou Canal as the study area, the river network water system is generalized according to the regional hydrodynamic path and the water flow control conditions. Based on the MIKE11 AD model, the water quality model of Liangxi River was established, and the water quality model was determined and verified by using the hydrological data and water quality monitoring data from 2013-2014. The sensitivity of the water quality model of Liangxi River was analyzed by Morris method. The uncertainty of input data and parameters of the water quality model of Liangxi River was studied by using GLUE method. The results show that the 1 / 1 / MiKE11 model has good applicability in the study area. 2) the roughness coefficient of river bed is the third type sensitivity coefficient. The higher the roughness of the river bed, the higher the simulated water level. The uncertainty of COD is mainly derived from the parameters n and D; The uncertainty of TP mainly comes from the diffusion coefficient D. compared with COD. TP is more susceptible to the uncertainty of input data, and the uncertainty of water quality model of Liangxi River in Wuxi mainly comes from the uncertainty of parameters.
【學(xué)位授予單位】:南京大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:X52
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 林凱榮;陳曉宏;江濤;;基于Beta-PERT分布的水文模型參數(shù)不確定性分析[J];中山大學(xué)學(xué)報(bào)(自然科學(xué)版);2010年04期
2 Soon Ju Yu;Jae Yil Lee;Sung Ryong Ha;;Effect of a seasonal diffuse pollution migration on natural organic matter behavior in a stratified dam reservoir[J];Journal of Environmental Sciences;2010年06期
3 Sangman Jeong;Kyusung Yeon;Youngteck Hur;Kukryul Oh;;Salinity intrusion characteristics analysis using EFDC model in the downstream of Geum River[J];Journal of Environmental Sciences;2010年06期
4 劉曙光;郁微微;匡翠萍;孫波;;三峽工程對(duì)長(zhǎng)江口南匯邊灘近期演變影響初步預(yù)測(cè)[J];同濟(jì)大學(xué)學(xué)報(bào)(自然科學(xué)版);2010年05期
5 劉蘭嵐;張永紅;;WASP水質(zhì)模型在遼河干流污染減排模擬中的應(yīng)用[J];環(huán)境科學(xué)與管理;2010年05期
6 王盛萍;張志強(qiáng);唐寅;郭軍庭;;MIKE-SHE與MUSLE耦合模擬小流域侵蝕產(chǎn)沙空間分布特征[J];農(nóng)業(yè)工程學(xué)報(bào);2010年03期
7 馮啟申;朱琰;李彥偉;;地表水水質(zhì)模型概述[J];安全與環(huán)境工程;2010年02期
8 史鐵錘;王飛兒;方曉波;;基于WASP的湖州市環(huán)太湖河網(wǎng)區(qū)水質(zhì)管理模式[J];環(huán)境科學(xué)學(xué)報(bào);2010年03期
9 匡翠萍;高健博;劉曙光;張宇;;貝加爾湖典型風(fēng)況下三維流場(chǎng)數(shù)值模擬[J];人民長(zhǎng)江;2010年03期
10 王旭東;劉素玲;張樹深;陳景文;;白洋淀水域WASP富營(yíng)養(yǎng)化模型改進(jìn)研究[J];環(huán)境科學(xué)與技術(shù);2009年10期
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