臺灣博碩士論文加值系統

本研究自2006年3 月至2008年5月於嘉藥校園人工溼地系統（以下簡稱嘉藥系統）、港尾社區自然淨水系統（以下簡稱港尾系統）、蚵寮國中人工溼地系統（以下簡稱蚵寮系統）、二行社區人工溼地系統（以下簡稱二行系統）、安順排水淨化系統（以下簡稱安順系統）及鳥松溼地公園（以下簡稱鳥松溼地）進行水質測定分析及水棲昆蟲採樣，探討各個人工溼地系統處理水質情形、水棲昆蟲發生的狀況及建立生物指標評估人工溼地水質的可行性。
水質監測參數包括溫度、pH、導電度、溶氧(Dissolved Oxygen，DO)、生化需氧量(Biochemical Oxygen Demand, BOD5)、氨氮(Ammonia Nitrogen, NH4-N)及懸浮固體(Suspended Solid, SS)等，並計算個溼地系統之河川污染指標(River pollution index, RPI)。每次採集水棲昆蟲的同時記錄當日水溫並進行水質分析監測，所採集之水棲昆蟲進行物種鑑定及計算數量，並利用分析出之水質參數及物種數與生物量計算河川污染指標及生物指標，其中生物指標包含總個體數、科級生物指標(Family-level biotic index)、分類群豐度(Richness index)、夏農-威佛歧異度指標（Shannon-Weaver diversity index）、辛普森歧異度指標（Simpson’s diversity index）及均勻度指標（Evenness index），進而將水質參數及河川污染指標與生物指標進行相關性分析與理想方程式推估。
研究結果發現，六個人工溼地的採樣點，水質分析結果與水棲昆蟲相具顯著差異。比較四個進行常態採樣系統中計算河川污染指標之四個水質參數，發現港尾系統的DO值較高及NH4-N值較低，嘉藥系統的BOD5值及SS值較低，整體水質環境以港尾系統較佳。嘉藥系統水棲昆蟲採樣共記錄6目15科15種，取樣面積之採集量為5044隻/m2，港尾系統水棲昆蟲共紀錄7目18科19種，取樣面積之採集量為14998隻/m2，蚵寮系統水棲昆蟲共記錄6目8科8種，取樣面積之採集量為477隻/m2，安順系統水棲昆蟲共記錄5目9科9種，取樣面積之採集量為544隻/m2，鳥松溼地水棲昆蟲共記錄5目5科5種，取樣面積之採集量為111隻/m2。將水質參數及生物指標進行相關性分析後，均具顯著差異性，依各個人工溼地的特性，相關的因子也不盡相同。
河川污染指標代表河川水質污染程度。計算各溼地水質參數所得之河川污染指標，由小至大依序為港尾系統、嘉藥系統、蚵寮系統及二行系統。科級生物指標的值越小代表河川水質環境良好。計算各溼地之科級生物指標，判斷溼地水質優劣順序為港尾系統、嘉藥系統及蚵寮系統。夏農-威佛歧異度指標的值越高代表採樣站中物種越多樣及豐富，按高低順序排列為港尾系統、嘉藥系統及蚵寮系統。利用以上三種方式評估水質的結果相似度高，因此應可參考現行利用生物指標評估溪流水質的方法，建立以生物指標評估人工溼地水質的模式，可使用科級生物指標或夏農-威佛歧異度指標評估水質，輔助化學分析方法進行水質整體評估。
水質參數來推估生物指標，經逐步多元迴歸分析推估理想方程式，經計算平均誤差值，選擇平均誤差值小於30%之Gleason index、Evenness index及Simpson’s diversity index等三個理想方程式應用於水質評估，如此可減少水質參數分析項目，達到整體評估水體環境的目的。
分析河川污染指標（RPI）與水棲昆蟲各目發生數量之趨勢進行水質指標生物的建立，結果以蜻蛉目、半翅目、鞘翅目及蜉蝣目結果較接近實際發生情形。若要更精確預估，宜將水棲昆蟲分類至科級後再進行相關討論。
調查發現人工溼地系統會孳生家蚊及瘧蚊，蚊蟲除了傳播疾病外也會造成對溼地附近民眾的騷擾，宜加強人工溼地的管理，以避免形成公共衛生上的問題。

This study analysis the parameters of water quality and collected the aquatic insects in the Chna constructed wetland system, Gang-Wei constructed wetland system, Ke-Liao constructed wetland system, Er-Hang constructed wetland system, An-Shun constructed wetland system and Niao-Song wetland park since March 2006 to May 2008. We related aquatic insects sampling to water quality parameters in various constructed wetland system and investigated to establish the biotic index to assess constructed wetland water quality.
The aquatic insects were collected regularly, and the monitoring parameters of water quality were recorded at the same time. In this research, we analyze the monitoring parameters of water quality including temperature, pH, conductivity, DO, BOD5, NH4-N and SS, and to calculate the river pollution index of a constructed wetland system. We counted the number and identified the species of the collected aquatic insects. We utilize the numbers and the species of the collected aquatic insects to calculate the biotic index, including the number of individual, Family-level biotic index, Richness index, Shannon-Weaver diversity index, Simpson''s diversity index and Evenness index. We wish to establish an ideal formula for the biotic index to assess the constructed wetland water quality.
The results showed that the water quality and aquatic insects of the six constructed wetlands systems were significant difference. We compared the four water quality parameters that to calculate the river pollution index of the four regular sampling system, we found that the Gang-Wei system had high DO and low NH4-N value, Chna system had better BOD5 and SS value. The Gang-Wei system had the best environment quality overall. Chna system’s aquatic insects recorded six orders, 15 family and 15 species, the number of individual per sampling area was 5044 / m2. Gang-Wei system’s aquatic insects recorded seven orders, 18 family and 19 species, the number of individual per sampling area was 14,998 / m2. Ke-Liao system’s aquatic insects recorded six orders, 8 family and 8 species, the number of individual per sampling area was 477 / m2. An-Shun system’s aquatic insects recorded five orders, 9 family and 9 species, the number of individual per sampling area was 544 / m2. Niao-Song system’s aquatic insects recorded five orders, 5 family and 5 species, the number of individual per sampling area was 111 / m2. The correlation testing of the water quality parameters and the biotic index are significant difference, depending on the various characteristics of the constructed wetland system.
The river pollution index (RPI) was used to evaluate the river water pollution levels. The river pollution index (RPI) of Gang-Wei system, Chna system, Ke-Liao system and Er-Hang system were progressive increase. The Family-level biotic index was to evaluate the water quality, the Gang-Wei system is better than the Chna system, and the Ke-Liao system is the worse. The higher Shannon-Weaver diversity index value represented the more species diversity and abundance. The Shannon-Weaver diversity index value of Gang-Wei system, Chna system, and Ke-Liao system were reduce progressively. Applied these methods to evaluate water quality had the same results. We were able to refer the current use of the biotic index to assess stream water quality methods, and to establish the biotic index to assess constructed wetland water quality. The potential biotic indexes were Family-level biotic index and Shannon-Weaver diversity index. These methods could assist chemical analysis to assess the whole water quality.
The multiple gradually regression analysis was to establish an ideal formula for water quality parameters to estimate the Gleason index, Evenness index andSimpson’s diversity index. The results were the same as the utility of river pollution index. It could reduce water quality parameters analysis project, and assess the overall water environment.
Analyze the river pollution index (RPI) and the individuals of various orders correlation to establish the biological indicators. The result was that the Odonata, Hemiptera, Coleoptera and Ephemerida were the candidate of the biological indicators in the constructed wetland system. It needed more large sample size and more detail aquatic insect classification to establish the more representative biological indicators.
The constructed wetland was the breeding site of Culex and Anolheles. It has the potential to increase the local adult moxquito populations. These mosquitoes could be the vectors of pathogen or to disturb the neighbor of constructed wetland. It should improve the management of constructed wetland to reduce the public health problem.

中 文 摘 要I
AbstractIV
誌 謝VII
目 錄IX
表 目 錄XIII
圖 目 錄XVI
第一章 前言1
1-1 研究動機1
1-2 研究方向與目的2
第二章 文獻回顧4
2-1 人工溼地概述4
2-1-1 人工溼地的種類4
2-1-2 人工溼地發展沿革與應用8
2-2 溼地生態中昆蟲綱的生物階層9
2-2-1 水棲昆蟲分類方式9
2-2-2 水棲昆蟲生活史11
2-3 水棲昆蟲在生物指標的應用12
2-3-1 科級生物指標12
2-3-2 生物多樣性指標14
2-4 人工溼地存在的孑孓及造成的潛在影響17
第三章 研究設備與方法19
3-1 人工溼地系統介紹19
3-1-1 嘉藥校園人工溼地系統19
3-1-2 港尾社區自然淨水系統21
3-1-3 蚵寮國中人工溼地系統24
3-1-4 二行社區人工溼地系統26
3-1-5 安順排水淨化系統28
3-1-6 鳥松溼地公園29
3-2 水質採樣31
3-2-1 嘉藥校園人工溼地系統31
3-2-2 港尾社區自然淨水系統31
3-2-3 蚵寮國中溼地系統31
3-2-4 二行社區人工溼地系統31
3-2-5 安順排水淨化系統32
3-2-6 鳥松自然溼地公園32
3-3 水質分析方法33
3-3-1 儀器設備33
3-3-2 分析方法33
3-3-3 處理效能評估35
3-4 水質污染指標分析36
3-4-1 單一指標36
3-4-2 綜合水質指標36
3-5 水棲昆蟲採樣38
3-5-1 嘉藥校園人工溼地系統38
3-5-2 港尾社區自然淨水系統38
3-5-3 蚵寮國中人工溼地系統38
3-5-4 二行社區人工溼地系統38
3-5-5 安順排水淨化系統39
3-5-6 鳥松溼地公園39
3-6 水棲昆蟲分析及科級鑑定39
3-7 生物指標分析40
3-7-1 科級生物指標40
3-7-2 生物多樣性指標43
3-8 統計分析方法45
第四章 結果與討論46
4-1 人工溼地淨化系統處理效能46
4-1-1 各項水質參數分析46
4-1-2 人工溼地淨水系統處理效能56
4-2 人工溼地水棲昆蟲與環境因子之關係58
4-2-1 水棲昆蟲各採樣點水質比較58
4-2-2 水棲昆蟲調查結果97
4-2-2-1 嘉藥校園人工溼地97
4-2-2-2 港尾社區自然淨水系統103
4-2-2-3 蚵寮國中人工溼地系統113
4-2-2-4 二行社區人工溼地119
4-2-2-5 安順排水淨化系統122
4-2-2-6 鳥松溼地公園127
4-2-2-7 各採樣站之生物指標參數整理132
4-2-3 水質與生物指標之關係135
4-3 人工溼地水棲昆蟲生物指標建立141
4-3-1 利用水質參數推估生物指標141
4-3-2 水質指標生物的建立145
4-4 人工溼地的孑孓的存在對公共衛生的潛在影響152
第五章 結論157
第六章 參考文獻159
附錄一 人工濕地所採集之水棲昆蟲照片165

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