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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 張尊國 | |
dc.contributor.author | Yu Feng | en |
dc.contributor.author | 馮彧 | zh_TW |
dc.date.accessioned | 2021-05-14T17:42:11Z | - |
dc.date.available | 2015-08-25 | |
dc.date.available | 2021-05-14T17:42:11Z | - |
dc.date.copyright | 2015-08-25 | |
dc.date.issued | 2015 | |
dc.date.submitted | 2015-08-19 | |
dc.identifier.citation | 參考文獻
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Soil Sci., Vol. 40, 497-512. WHO, 2010. Exposure to Cadmium: A Major Public Health Concern World Health Organization. Yost, R. S., Uehara, G., Fox, R. L., 1982, Geostatistical analysis of soil chemical properties of large land areas. I. Semivariograms. Soil Sci. Soc. Am. J. 46, 1028-1032. Zhang, Z. W., Watanabe, T., Shimbo, S., Higashiwaka, K., & Ikeda, M., 1998. Lead and Cadmium contents in cereals and pulses in north-eastern China. Sci Total Environ, 220(2-3), 137-145. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/4427 | - |
dc.description.abstract | 本研究依據前人研究提出之蔬菜鎘含量預測模式,整合雲林縣農地土壤特性參數等相關資料,推估雲林縣農地種植不同蔬菜的鎘含量,並配合國人蔬菜消耗量檢視國人食用這些蔬菜的安全性;亦對蔬菜鎘含量預測模式的係數進行敏感度分析,探討影響預測模式中蔬菜鎘含量的主要因子。研究結果發現,平均鎘濃度推估最高的5種蔬菜為福壽/翠花萵苣、菠菜、尖葉萵苣、圓葉萵苣及莧菜。由於蔬菜的重金屬鎘限量標準規範依不同種類而異,歸納出比較容易超標的蔬菜種類是半結球類、瓜菜及果菜類及大蒜。因為國人對葉菜類需求較其他類別蔬菜高,葉菜類之中的小葉菜類蔬菜鎘濃度整體來說比較高,所以葉菜類攝食成為鎘進入人體的主要途徑。最後經由敏感度分析得知,蔬菜鎘含量預測模式中γ絕對值大的蔬菜,在土壤CEC低時會致使蔬菜鎘含量顯著增加;δ絕對值大的蔬菜,種在土壤pH值低的地方,其鎘含量會比種在高土壤鎘濃度情況下為高。根據以上結果,建議有關單位可以參考本研究結果選擇蔬菜適栽地點,並且留意小葉菜類蔬菜的鎘含量,以減少產出含鎘超標蔬菜。 | zh_TW |
dc.description.abstract | Based on the predictive model for Cd content levels in vegetables proposed by Taiwan Agricultural Research Institute in a former research, this study integrated soil characteristics parameters needed for the model to predict Cd content of 31 vegetables cultured in Yunlin County. The vegetable consumption is one of the major pathways of Cd uptake in Taiwan residents. If we can understand the Cd content in vegetables, then we can manage health risk better. The aim of this study is to estimate Cd content level in various vegetables to be planted in Yunlin County, which is the most important production area in Taiwan. This study further conducted sensitivity analysis of coefficients in the predictive model for Cd content levels in vegetable to find out the main factors affecting Cd content in vegetables. The model predicted that there could be 5 vegetables with the highest Cd content level, including iceberg lettuce, spinach, two kinds of leaf lettuce and amaranth. This study also found some classes of vegetables that could be easier to exceed their regulatary standards for Cd content, including head vegetables, melon vegetables and fruit vegetables and garlic. In addition, this study predicted that leafy vegetables could have higher Cd content and may become a main pathway of Cd uptake because Taiwan residents currently eat more leafy vegetables than other vegetables. Finally, the model sensitivity analysis showed that vegetables with higher γ would gain more Cd content when planted in the soil with lower CEC; vegetables with higher δ would gain more Cd content when planted in the soil with lower pH than in the soil with high level of Cd content. This study suggested agricultural authorities can use the results of this study to guide farmers to choose planting suitable vegetables in right locations, to pay attention to cadmium content in leafly vegetables, and to reduce the production of vegetables with high Cd content. | en |
dc.description.provenance | Made available in DSpace on 2021-05-14T17:42:11Z (GMT). No. of bitstreams: 1 ntu-104-R02622024-1.pdf: 12433325 bytes, checksum: 1e3f79a2e35a16eb565df2f31ce7cf32 (MD5) Previous issue date: 2015 | en |
dc.description.tableofcontents | 目錄
誌謝 I 摘要 III Abstract V 目錄 VII 圖目錄 IX 表目錄 XII 第一章 前言 1 1.1 研究動機 1 1.2 研究目的 2 1.3 研究架構 2 第二章 文獻回顧 5 2.1 鎘 5 2.1.1 鎘之來源 5 2.1.2 食物中的鎘 6 2.1.3 鎘之危害與標準 10 2.2 臺灣農地重金屬污染狀況 14 2.2.1 臺灣土壤重金屬調查概述 14 2.2.2 臺灣農地土壤鎘污染管制概況 16 2.3 蔬菜鎘含量 18 2.3.1 蔬菜監測與管制 18 2.3.2 蔬菜吸收土壤中鎘之機制 21 2.3.3 蔬菜鎘含量預測模式之建構 25 2.4 地理統計應用 27 第三章 材料與方法 31 3.1 研究流程 31 3.2 研究材料 33 3.2.1 土壤調查資料 33 3.2.2 蔬菜鎘含量預測模式暨其參數 35 3.2.3 國土利用調查成果引入 39 3.2.4 蔬菜消費量 43 3.3 研究方法 44 3.3.1 推估雲林縣農地蔬菜鎘含量 44 3.3.2 國人蔬菜攝食安全評析 44 3.3.3 蔬菜鎘含量預測模式中各種係數的敏感度分析 45 第四章 結果與討論 47 4.1 雲林縣土壤參數與推估結果之統計 47 4.1.1 農試所土壤調查資料之分析 47 4.1.2 經克利金推估之農地土壤參數之統計 50 4.2 檢視雲林縣農地蔬菜鎘含量推估結果 53 4.2.1 檢視雲林縣農地蔬菜鎘含量推估結果 53 4.2.2 以限量標準評析雲林縣農地蔬菜鎘含量推估結果 72 4.3 國人蔬菜攝食安全評析 75 4.3.1 國人近五年之平均蔬菜攝食量 75 4.3.2 國人蔬菜攝食安全評析 77 4.4 蔬菜鎘含量預測模式中各種係數的敏感度分析 80 第五章 結論與建議 87 5.1 結論 87 5.2 建議 88 參考文獻 89 | |
dc.language.iso | zh-TW | |
dc.title | 以土壤特性評估蔬菜鎘含量 | zh_TW |
dc.title | Evaluation of Cadmium Content Level in Vegetables by Soil Characteristics | en |
dc.type | Thesis | |
dc.date.schoolyear | 103-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 張文亮,周基樹,陳尊賢,徐貴新 | |
dc.subject.keyword | 鎘,蔬菜,農地,重金屬,雲林, | zh_TW |
dc.subject.keyword | Cadmium,vegetable,farmland,heavy metals,Yunlin County, | en |
dc.relation.page | 94 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2015-08-19 | |
dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
dc.contributor.author-dept | 生物環境系統工程學研究所 | zh_TW |
顯示於系所單位: | 生物環境系統工程學系 |
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