| dc.contributor | 地政學系 | zh_Tw |
| dc.creator (作者) | 林士淵 | zh_TW |
| dc.date (日期) | 2013 | en_US |
| dc.date.accessioned | 8-十二月-2017 14:33:20 (UTC+8) | - |
| dc.date.available | 8-十二月-2017 14:33:20 (UTC+8) | - |
| dc.date.issued (上傳時間) | 8-十二月-2017 14:33:20 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/115052 | - |
| 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推估較不易，而常遭致忽略。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。前述潛藏於產品中水分僅佔綠水蒸發散量之0.1~1％，一般透過綠水蒸發散量之估算即可代表該產品之單位綠水足跡，而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，然該產品在取得時間上不具立即性，在空間方面，亦有部分地區缺漏、解析度較低之限制。為克服前述問題，本研究以臺灣農業用水使用比例最高之稻作進行綠水足跡估算，繼期中計畫選擇大範圍純稻作之「臺東地區」獲取得已改進時間限制之成果後，後續將以稻作生產大範圍、且MOD16資料破碎之地區的「臺中市」作為另一試驗區，嘗試同時解決時間及空間之限制。分析成果顯示，最具影響力的因子為溫度、NDVI和降水量（p < 0.05），兩期模型之決定係數（R2值）為0.76及0.71；透過十年固定樣本進行模型驗證之結果指出，模型推估之整體準確率可達80％以上。 | zh_TW |
| dc.description.abstract (摘要) | Water Footprint (WFP) is a recently developed indicator to identify the usage and distribution of the fresh water resource. Among Green, Blue and Gray WFPs, Green WFP is referred to total rainwater evapotranspiration plus the amount of water incorporating in a product, and is the main indicator of contribution of water usage introduced in agricultural and forestry product. Rice is the main crop in Taiwan, and the irrigation water withdrawn from ground or surface water (i.e. Blue water) to the rice paddle is the most significant consumption part of fresh water. In order to comprehensively understand the total amount of water used during rice growing stage, in addition to Blue water, it is critical to further identify the amount of Green water. However, to measure the crop evapotranspiration (i.e. Green water) is critical due to redundant and costive field measurement. To achieve this, firstly, it is proposed to develop a integrated hardware system to collect rainfall and also to acquire evapotranspiration on the test paddy site. Therefore the blue and green WFPs can be determined and treated as ground truth. Secondly, this study would like to apply remote sensing technique incorporating moderate-resolution imaging Spectroradiometer (MODIS) and LANDSAT image data to facilitate the measurement of crop evapotranspiration, and eventually to estimate the green WFP of rice. The green WFP derived from two methods are evaluated to obtain a robust estimated evapotranspiration. The results are expected to quantity the visual water of the rice and for reference in water resource, agricultural management and land use planning. | en_US |
| dc.format.extent | 2259833 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | 執行起迄：2013/08/01~2016/09/30 | zh_TW |
| dc.relation (關聯) | 102-2621-M-004-005-MY3 | zh_TW |
| dc.subject (關鍵詞) | 綠水足跡;遙感探測;蒸發散量;水資源管理 | zh_TW |
| dc.subject (關鍵詞) | Green water footprint; remote sensing; evapotranspiration; water resource | en_US |
| dc.title (題名) | 以農業永續發展為目標之水資源指標建立與評估 | _TW |
| dc.type (資料類型) | report | |
