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題名 應用MODIS資料估算稻作之綠水足跡
Estimation of Green Water Footprint of Rice Paddies Using MODIS Data
作者 黃姿瑜
Huang, Tzu Yu
貢獻者 林士淵
Lin, Shih Yuan
黃姿瑜
Huang, Tzu Yu
關鍵詞 稻作
綠水足跡
蒸發散量
MOD16
逐步迴歸
rice
Green Water Footprint (GWF)
evapotranspiration (ET)
MOD16
stepwise regression
日期 2016
上傳時間 2-Sep-2016 00:52:46 (UTC+8)
摘要 　　水足跡為一新興發展之水資源消耗衡量指標，可用以估計水資源之分佈與途徑。其中「綠水足跡」係指生產過程中消耗的雨水量，包含降水的總蒸發散量及產品中所含水分；綠水能使作物成長而具生產性，然因其一部潛藏於產品中且含量甚低、另一部為蒸發散形式而致使推估不易、遭致忽略。為使作物生產用水量能被精確統計，有效估算綠水足跡至為重要。
　　遙測產品─MODIS全球地表蒸發散監測資料（MOD16）具有高精度、涵蓋面積廣闊且長期監測之優勢，然若欲實際運用則將有產品釋出時間延遲及空間缺漏或低解析度等限制。故，本研究以MOD16資料為基礎，搭配可能影響稻作蒸發散量之氣象或自然因子，透過統計方法中的逐步迴歸法，建立蒸發散量之推估模型，以改進MOD16資料之時空限制、並供後續精確估算依使用者特定時間需求且完整的稻作綠水足跡。
　　Water Footprint (WF) is a recently developed indicator to identify the usage and distribution of the fresh water resource. Among different types of WFs, Green WF (GWF) is referred to total rainwater evapotranspiration (ET) plus the amount of water incorporating in a product. As the water incorporated into the crop is about 0.1~1% of the evapotranspiration volume, Green WF is normally referred to as ET volume. Together with irrigation water withdrawn from ground or surface water (i.e. Blue water), they are the main indicators of contribution of water usage introduced in agricultural products. Therefore in order to comprehensively understand the total amount of water used during crop growing stage, it is essential to identify the amount of Blue and Green water. As Blue water footprint has been explored widely, this research focused on the estimation of Green WF.
　　Based on the high accuracy, wide coverage and long-term extraction of rainwater evapotranspiration, a MODIS Global Terrestrial Evapotranspiration Data Set (MOD16) is applied to estimate GWF. Although the MOD16 product offers aforementioned advantages, we still encountered spatial and temporal inaccessibility. Therefore, this research aimed to overcome the drawbacks and develop a regression method considering multiple variables, including weather parameters and Normalized Difference Vegetation Index (NDVI) values, to improve the performance of GWF estimation. Through the experiments implemented in Taichung and Taitung, it was successfully demonstrated that the spatial and temporal accessibility of GWF of rice paddies calculated based on MOD 16 data was improved significantly.
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描述 碩士
國立政治大學
地政學系
103257006
資料來源 http://thesis.lib.nccu.edu.tw/record/#G1032570061
資料類型 thesis
dc.contributor.advisor 林士淵zh_TW
dc.contributor.advisor Lin, Shih Yuanen_US
dc.contributor.author (Authors) 黃姿瑜zh_TW
dc.contributor.author (Authors) Huang, Tzu Yuen_US
dc.creator (作者) 黃姿瑜zh_TW
dc.creator (作者) Huang, Tzu Yuen_US
dc.date (日期) 2016en_US
dc.date.accessioned 2-Sep-2016 00:52:46 (UTC+8)-
dc.date.available 2-Sep-2016 00:52:46 (UTC+8)-
dc.date.issued (上傳時間) 2-Sep-2016 00:52:46 (UTC+8)-
dc.identifier (Other Identifiers) G1032570061en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/101176-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 地政學系zh_TW
dc.description (描述) 103257006zh_TW
dc.description.abstract (摘要) 　　水足跡為一新興發展之水資源消耗衡量指標，可用以估計水資源之分佈與途徑。其中「綠水足跡」係指生產過程中消耗的雨水量，包含降水的總蒸發散量及產品中所含水分；綠水能使作物成長而具生產性，然因其一部潛藏於產品中且含量甚低、另一部為蒸發散形式而致使推估不易、遭致忽略。為使作物生產用水量能被精確統計，有效估算綠水足跡至為重要。
　　遙測產品─MODIS全球地表蒸發散監測資料（MOD16）具有高精度、涵蓋面積廣闊且長期監測之優勢，然若欲實際運用則將有產品釋出時間延遲及空間缺漏或低解析度等限制。故，本研究以MOD16資料為基礎，搭配可能影響稻作蒸發散量之氣象或自然因子，透過統計方法中的逐步迴歸法，建立蒸發散量之推估模型，以改進MOD16資料之時空限制、並供後續精確估算依使用者特定時間需求且完整的稻作綠水足跡。		zh_TW
dc.description.abstract (摘要) 　　Water Footprint (WF) is a recently developed indicator to identify the usage and distribution of the fresh water resource. Among different types of WFs, Green WF (GWF) is referred to total rainwater evapotranspiration (ET) plus the amount of water incorporating in a product. As the water incorporated into the crop is about 0.1~1% of the evapotranspiration volume, Green WF is normally referred to as ET volume. Together with irrigation water withdrawn from ground or surface water (i.e. Blue water), they are the main indicators of contribution of water usage introduced in agricultural products. Therefore in order to comprehensively understand the total amount of water used during crop growing stage, it is essential to identify the amount of Blue and Green water. As Blue water footprint has been explored widely, this research focused on the estimation of Green WF.
　　Based on the high accuracy, wide coverage and long-term extraction of rainwater evapotranspiration, a MODIS Global Terrestrial Evapotranspiration Data Set (MOD16) is applied to estimate GWF. Although the MOD16 product offers aforementioned advantages, we still encountered spatial and temporal inaccessibility. Therefore, this research aimed to overcome the drawbacks and develop a regression method considering multiple variables, including weather parameters and Normalized Difference Vegetation Index (NDVI) values, to improve the performance of GWF estimation. Through the experiments implemented in Taichung and Taitung, it was successfully demonstrated that the spatial and temporal accessibility of GWF of rice paddies calculated based on MOD 16 data was improved significantly.		en_US
dc.description.tableofcontents 第一章 緒論　　1
　第一節 研究背景　　1
　第二節 研究動機　　4
　第三節 研究目的　　5
　第四節 研究流程　　6
第二章 文獻回顧　　9
　第一節 水足跡之概念　　9
　　一、 水足跡之起源　　9
　　二、 水足跡之評估內容及步驟　　11
　　三、 水足跡之類別　　12
　　四、 產品水足跡應用案例　　15
　第二節 作物綠水足跡之估算 　　18
　　一、 綠水之概念發展及估算方法　　18
　　二、 蒸發散量之量測方式 　　20
　　三、 稻作水足跡估算案例 　　25
第三章 研究方法與材料　　31
　第一節 應用MODIS資料估算稻作綠水足跡之流程設計　　31
　第二節 研究方法　　34
　　一、 建立複迴歸模型　　34
　　二、 估算綠水足跡　　39
　第三節 研究材料　　43
　　一、 MODIS衛星影像資料　　43
　　二、 氣象資料─月均溫度、月降水量、月均風速、月均日照時數、月均溼度　　47
第四章 研究成果　　51
　第一節 以臺東地區為例─改進MOD16資料時間之限制　　52
　　一、 研究條件及研究區域 　　52
　　二、 複迴歸分析成果　　52
　　三、 估算綠水足跡成果　　55
　第二節 以臺中市為例─改進MOD16資料時間及空間之限制　　61
　　一、 研究區域及研究限制 　　61
　　二、 複迴歸分析成果　　62
　　三、 估算綠水足跡成果　　68
　第三節 小結　　71
第五章 討論　　72
　第一節 稻作蒸發散量推估模型之投入變數　　72
　第二節 稻作蒸發散量推估成果之時空分析　　76
　　一、 時間分析　　76
　　二、 空間分析　　78
　第三節 稻作綠水足跡估算成果之比較　　82
　　一、 二試驗區稻作綠水足跡之比較　　82
　　二、 與前人估算成果之比較　　86
第六章 結論與建議　　89
　第一節 結論　　89
　第二節 建議　　91
參考文獻　　93
　一、中文參考文獻　　93
　二、外文參考文獻　　96
　三、網頁參考文獻　　102
附錄1：試驗區一之逐年稻作綠水足跡地圖（MOD16資料）　　105
附錄2：試驗區一之逐年稻作綠水足跡地圖（迴歸模型推估）　　107
附錄3：試驗區二之逐年稻作綠水足跡地圖　　109		zh_TW
dc.format.extent 8267551 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G1032570061en_US
dc.subject (關鍵詞) 稻作zh_TW
dc.subject (關鍵詞) 綠水足跡zh_TW
dc.subject (關鍵詞) 蒸發散量zh_TW
dc.subject (關鍵詞) MOD16zh_TW
dc.subject (關鍵詞) 逐步迴歸zh_TW
dc.subject (關鍵詞) riceen_US
dc.subject (關鍵詞) Green Water Footprint (GWF)en_US
dc.subject (關鍵詞) evapotranspiration (ET)en_US
dc.subject (關鍵詞) MOD16en_US
dc.subject (關鍵詞) stepwise regressionen_US
dc.title (題名) 應用MODIS資料估算稻作之綠水足跡zh_TW
dc.title (題名) Estimation of Green Water Footprint of Rice Paddies Using MODIS Dataen_US
dc.type (資料類型) thesisen_US
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