本文關鍵詞：基于SPARROW模型的艾比湖流域地表水水質評價及污染負荷研究　出處：《新疆大學》2017年碩士論文　論文類型：學位論文

  更多相關文章： 艾比湖流域 多元統(tǒng)計方法 時空分布 污染負荷 污染源解析

【摘要】：本文選取2014~2016年的艾比湖流域的地表水水質數(shù)據(jù),首先利用統(tǒng)計學方法對流域水質污染情況進行全局評價,包括利用層次聚類法、判別分析法和因子分析法分析艾比湖流域地表水水質污染的整體情況,并在時間和空間上有機結合識別水質污染指標和污染區(qū)域�；跁r空因子聯(lián)合分析進行水質時空分異特征研究,同時利用主成分回歸分析法對艾比湖流域水質主要污染因子進行污染源解析,然后利用SPARROW模型對流域各河段的重點污染指標(COD和TN)進行水質評價,并與多元統(tǒng)計方法的結果進行對比�；赟PARROW模型對艾比湖流域地表水水質進行污染負荷模擬,得到不同污染源在各河段和子流域中的污染負荷分布情況,定性和定量的分析各類污染源對水質的影響及水質污染源的解析。綜合兩種方法對艾比湖流域地表水水污染整體情況進行評估,從時間、空間、子流域和河段等方面進行水質的污染源解析,對流域地表水污染管控提供技術支持。多元統(tǒng)計分析結果表明:(1)艾比湖流域5月的地表水水質污染情況比10月較嚴重,而艾比湖、博爾塔拉河、精河在靠近艾比湖湖區(qū)的河道污染程度均要比其他河道嚴重。(2)由聚類分析和判別分析得出艾比湖流域豐水期和枯水期的水質采樣點在空間上均被分成A、B兩組,A組包括艾比湖湖區(qū)東部、古爾圖河、河奎屯河和四棵樹河,B組包括艾比湖湖區(qū)西部、博爾塔拉河、精河。(3)艾比湖流域豐水期和枯水期的水體主要受到COD、DO、NH_3~+-N和SS等指標的影響,B組水質污染指標的值相比于A組的值偏高,B組區(qū)域內存在高污染企業(yè),艾比湖流域水環(huán)境治理工作需主要集中在B組所包括的艾比湖湖區(qū)、博爾塔拉河和精河。(4)2015年和2016年的COD和TN在5個斷面上的污染程度整體較為嚴重。精河斷面2016年的COD遠遠高出Ⅴ類水質標準,屬于劣Ⅴ類水,污染較為嚴重;而博樂、溫泉、將軍廟和吉勒德斷面的2016年的COD均低于2015年的值。2016年的TN值在精河、博樂、溫泉和將軍廟斷面的值均高于2015年,而吉勒德斷面的TN值2015年高于2016年。(5)艾比湖湖區(qū)、精河和博爾塔拉河地表水體的污染主要來自于有機物污染和營養(yǎng)物質污染,其次為工礦業(yè)污染;而奎屯河、古爾圖河、四棵樹河地表水體的污染物主要受有機污染物的影響,較多的來源于有機物污染,然后受到的營養(yǎng)物質污染源較多的影響,而影響較為微弱的則是生物污染源的的影響。SPARROW模擬結果表明:(1)SPARROW模型的模擬精度R2為0.637,RMSE為0.369,艾比湖流域COD傳輸過程的環(huán)境因子為河網(wǎng)密度、坡度、降雨和土壤滲透率,環(huán)境過程為一級河流衰減。(2)艾比湖流域COD水質評價結果,2015年的COD濃度比2014年有所增加,2014年和2015年的各河段COD污染總負荷分布情況基本一致,負荷量較大的區(qū)域在精河支流、博河支流和奎屯河支流,2015年與2014年的負荷量相比偏大,負荷增加量主要分布在博河大部分支流和四棵樹河的小部分支流,COD污染負荷量較大的區(qū)域在精河支流、博河支流和奎屯河支流,負荷量較低的區(qū)域分布在溫泉縣的博河上游。(3)2014年各類污染源的負荷占COD負荷的百分比分別為:工業(yè)污染源27.9%,農業(yè)污染源54.0%,生活污染源17.5%。2015年各類污染源的負荷占COD負荷的百分比分別為:工業(yè)污染源27.8%,農業(yè)污染源52.3%,生活污染源19.6%。2015年各類污染源的負荷占TN負荷的百分比分別為:工業(yè)污染源23.9%,生活污染源48.9%,農業(yè)污染源26.5%。艾比湖流域主要受農業(yè)污染源的影響,博河支流、精河支流、奎屯河支流和甘家湖梭梭林保護區(qū)的農業(yè)源污染負荷較高,而工業(yè)源和生活源污染負荷較高的區(qū)域主要在城鎮(zhèn)及其周邊地區(qū),各子流域的污染源結構和污染負荷具有不同的空間分布特征。本文利用SPARROW模型建立河流上下游傳輸關系,劃分子流域,對各子流域的污染物進行負荷分析,明確治理重點,旨在為干旱半干旱地區(qū)的艾比湖流域水質監(jiān)測和保護提供一定的理論參考和技術支持。
[Abstract]:This paper selects the data of surface water quality in the Ebinur Lake Basin in 2014~2016, first use the statistical methods to evaluation of the global basin water pollution situation, including the use of hierarchical clustering analysis, discriminant analysis analysis of the surface water pollution in Ebinur Lake watershed method and factor analysis method, and the temporal and spatial combination of water pollution identification the index and the contaminated area. Based on the analysis of water quality factors combined with temporal spatial and temporal variation characteristics, using principal component regression analysis of pollution sources on the main pollution factors of water quality in Ebinur Lake basin analysis, and then use the SPARROW model focus on watershed pollution index of each river section (COD and TN) to assess the water quality, and compared with the the results of multivariate statistical methods. SPARROW model for pollution load simulation of surface water quality in the Ebinur Lake Basin Based on different sources of pollution in the river The pollution load distribution and sub basin in the analysis of all kinds of pollution sources of qualitative and quantitative effects on water quality and water pollution source. Two methods to assess the surface water pollution in the Ebinur Lake Basin overall situation from time, space, pollution source analysis and River Sub basin of water and provide technical support for basin surface water pollution control. Multivariate statistical analysis showed that: (1) the pollution of surface water in May in the Ebinur Lake Basin is more serious than in October, while the Ebinur Lake, Bortala River, Jinghe river pollution near the lake are Abby is more serious than the other river (2) by the cluster. Analysis and discriminant analysis of Ebinur Lake Basin in wet and dry seasons the water sampling point in space were divided into A, B two groups, A group including the eastern part of Ebinur Lake, guertu river river, Kuitun River and the four tree river, B group Including the Ebinur Lake area west of Bortala River, Jinghe. (3) the Ebinur Lake Basin flood season and dry season water mainly by COD, DO, NH_3~+-N and SS impact index, B group of water pollution index values compared to the A group of B group of high value area of memory in high polluting enterprises, work water environment in Ebinur Lake Basin mainly concentrated in the B group including the Ebinur Lake area, Bortala River and Jinghe. (4) the degree of pollution in the 5 section of the 2015 and 2016 COD and TN overall is more serious. A section of Jinghe's COD in 2016 is much higher than that of grade V standard, which belongs to the inferior class water pollution is more serious; and bole, hot springs, and the temple of general Guilleard section COD in 2016 were lower than the value in 2015.2016 years TN in Jinghe, bole, hot springs and jiangjunmiao section were higher than in 2015, and the Guilleard section of the TN value in 2015 than in 2016. (5) Ebinur Lake District, Jinghe and the Bortala river water pollution mainly comes from organic pollution and nutrient pollution, followed by mining and industrial pollution; and the Kuitun River, guertu River, four river water pollutant tree is mainly affected by the organic pollutants, more from organic pollution, then the effect of nutrition the material sources of pollution more, but relatively weak effect is the biological pollution source affecting the.SPARROW simulation results show that: (1) the simulation accuracy of R2 SPARROW model is 0.637, RMSE is 0.369, the environmental factors of COD transmission process in the Ebinur Lake Basin for drainage density, slope, rainfall and soil permeability, environmental process the river level attenuation. (2) the evaluation results of Ebinur Lake Basin water quality COD, COD concentration in 2015 increased compared to 2014, each section of the COD pollution load distribution in 2014 and 2015 a large area, load In the domain of a tributary of the Jinghe River tributary, Bo and tributaries of Kuitun River in 2015 and 2014, the load is bigger than that of load increase is mainly distributed in the Bo River tributaries and most of the four trees a small portion of the COD River tributaries, the pollution load large area in the Jinghe tributary, Bo River tributaries and Kuitun River tributary, load the lower the regional distribution in Hot Springs County Bo river. (3) load in 2014 all kinds of pollution sources accounted for the percentage of COD load were: 27.9% industrial pollution sources, agricultural sources of pollution 54%, domestic pollution source 17.5%.2015 of various types of pollution load accounted for COD load percentage were 27.8% industrial pollution sources. Agricultural pollution 52.3%, domestic pollution source 19.6%.2015 of various types of pollution load percentage of TN load were: 23.9% industrial pollution sources, domestic pollution sources 48.9%, agricultural sources of 26.5%. in the Ebinur Lake Basin is mainly affected by agricultural pollution sources Bo, a tributary of the river, a tributary of Jinghe, agricultural non-point source pollution load is high and the Kuitun River tributary Ganjiahu sacsaoul forest reserve, and industrial and domestic sources of high pollution load areas mainly in the town and surrounding areas, pollution sources and pollution load of each sub basin has different spatial distribution characteristics. This paper uses SPARROW to establish the model of river downstream transmission, sub basins, load analysis of pollutants in each sub basin, clear the focus of governance, in order to provide certain theoretical reference and technical support for water quality monitoring and protection of the Ebinur Lake Basin in arid and semi-arid areas.

【學位授予單位】：新疆大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：X824

【參考文獻】

相關期刊論文 前10條

1 張雪妮;楊曉東;呂光輝;;水鹽梯度下荒漠植物多樣性格局及其與土壤環(huán)境的關系[J];生態(tài)學報;2016年11期

2 付青;鄭彥;王山軍;;全國地表飲用水源水質狀況及時空分布特征[J];應用基礎與工程科學學報;2015年05期

3 張飛;王娟;塔西甫拉提·特依拜;周梅;王東芳;李瑞;李曉航;;1998—2013年新疆艾比湖湖面時空動態(tài)變化及其驅動機制[J];生態(tài)學報;2015年09期

4 高麗娟;呂光輝;王蕓;蘇前;張雪梅;;艾比湖地區(qū)鹽生植物群落土壤氮素的垂直分布特征[J];干旱區(qū)研究;2014年01期

5 麻德明;石洪華;豐愛平;;基于流域單元的海灣農業(yè)非點源污染負荷估算——以萊州灣為例[J];生態(tài)學報;2014年01期

6 李雪;曹芳芳;陳先春;王兆軍;王玉秋;;敏感區(qū)域目標污染物空間溯源分析——以新安江流域跨省界斷面為例[J];中國環(huán)境科學;2013年09期

7 瞿明凱;李衛(wèi)東;張傳榮;黃標;胡文友;;基于受體模型和地統(tǒng)計學相結合的土壤鎘污染源解析[J];中國環(huán)境科學;2013年05期

8 雷雨;龍?zhí)煊?傘磊;安強;黃寧秋;;紊流脈動強度對藻類生長及水環(huán)境的影響研究[J];環(huán)境科學;2013年05期

9 陳瑜;劉光遜;趙越;王東;王紅艷;王玉秋;;仿真流域的總氮模擬——SPARROW模型應用方法研究[J];水資源與水工程學報;2012年04期

10 夏軍;翟曉燕;張永勇;;水環(huán)境非點源污染模型研究進展[J];地理科學進展;2012年07期

相關會議論文 前1條

1 李志濤;王夏暉;張惠遠;王波;呂文魁;;中國農業(yè)污染源分區(qū)研究思路探討[A];中國地理學會百年慶典學術論文摘要集[C];2009年

相關博士學位論文 前3條

1 何鋒;北京山區(qū)流域土地利用系統(tǒng)非點源污染環(huán)境風險評價與SPARROW模擬[D];中國農業(yè)大學;2014年

2 劉光遜;基于流域空間屬性的水環(huán)境響應關系研究[D];南開大學;2012年

3 李家科;流域非點源污染負荷定量化研究[D];西安理工大學;2009年

相關碩士學位論文 前10條

1 蘇向明;艾比湖流域供需水變化及其對湖泊面積的影響[D];新疆大學;2016年

2 周梅;基于MODIS和OLI數(shù)據(jù)源的艾比湖流域景觀格局尺度變化研究[D];新疆大學;2015年

3 艾則買提·艾賽提;艾比湖流域水系及水文特征變化研究[D];新疆大學;2013年

4 張令能;灤河流域非點源總氮污染的模型模擬[D];南昌大學;2012年

5 徐敏;艾比湖流域兩種典型生態(tài)系統(tǒng)光合特性研究[D];新疆大學;2010年

6 彌艷;基于3S技術的艾比湖流域農業(yè)非點源污染對水環(huán)境的影響研究[D];新疆大學;2010年

7 斯琴高娃;松花江流域農業(yè)面源污染特征研究[D];內蒙古師范大學;2010年

8 王培;基于GIS的SWAT模型在農業(yè)面源污染模擬中的應用[D];安徽農業(yè)大學;2008年

9 賈春光;艾比湖湖面變化對沿湖鐵路線的影響趨勢研究[D];新疆師范大學;2006年

10 閆禮;三峽庫區(qū)污染負荷測算及查詢系統(tǒng)[D];中國科學院研究生院（遙感應用研究所）;2005年

，

本文編號：1377112