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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 鄭欽龍 | |
| dc.contributor.author | Ying-Ta Chen | en |
| dc.contributor.author | 陳瑩達 | zh_TW |
| dc.date.accessioned | 2021-05-20T21:00:16Z | - |
| dc.date.available | 2016-07-29 | |
| dc.date.available | 2021-05-20T21:00:16Z | - |
| dc.date.copyright | 2011-07-29 | |
| dc.date.issued | 2011 | |
| dc.date.submitted | 2011-07-22 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/10077 | - |
| dc.description.abstract | 對森林經營者而言，選取適當工具規劃可達成多目標森林經營的疏伐作業並非易事。本研究旨在改善複選目標規劃技術之求解效率並探討其相關技術於疏伐減碳等多目標森林經營之適用性。在確認疏伐作業的成本效能實屬可行後，本研究首先以二元搜尋演算法結合複選目標規劃法，提出三階複選目標規劃法改良複選規劃法之求解效率，並以可供檢證之加拿大多目標森林經營案例比較兩者在多目標森林經營之求解效率。接著，利用多段目標規劃法配合線性規劃法，同時將疏伐面積及疏伐程度作為決策變數，以此建置新竹林管處柳杉人工林疏伐減碳規劃模型並探討該方法的適用性。確認三種方法在林業經營規劃可行後，本研究整合三種方法提出新竹柳杉人工林之最適疏伐減碳多目標規劃。
由加拿大多目標森林經營案例之驗證結果可知，複選目標規劃法相較於目標規劃法可迅速協助森林經營者找出最適經營期程，但目標值設定偏差則可能無法找到較佳解。三階複選目標規劃法則可在擴增搜尋範圍後，以每次運算減少一半搜尋範圍的方式，避免純粹使用複選目標規劃程式求解時的設定與比較，以有效找到較佳解。多段目標規劃法配合線性規劃法建置之新竹林管處人工林疏伐減碳模型研究結果顯示，該方法可一次模擬768種疏伐組合並找出最適疏伐期程以達到最大化碳吸存量的目標。本研究最後整合三階複選目標規劃法及多段目標規劃法進行新竹林區管理處之疏伐減碳等多目標規劃。研究結果指出，森林經營者應用此二方法可避免設定多種疏伐制度及目標值組合的模擬與比較，迅速找到能達成碳吸存、就業機會及土壤保護經營目標之最適疏伐期程。 | zh_TW |
| dc.description.abstract | It is not an easy task for forest managers to choose proper techniques to plan an appropriate thinning schedule for multiple forest management. The purpose of this paper is to improve the efficiency of multi-choice goal programming (MCGP) in searching better solutions and discuss the application of its related techniques toward various forest management problems. After confirming the feasibility of thinning in by cost-effectiveness analysis, the 3-level MCGP is firstly proposed to complete the insufficiency of the MCGP technique by combining binary search algorithm with MCGP and verify its efficiency by a credible Canadian multiple forest management case. Second, the application of combining multi-segment goal programming (MSGP) with linear programming to take both thinned area and thinning intensity as decision variables is evaluated by building a model of reducing carbon by thinning for artificial Sugi. in Hsinchu Forest District. Finally, both three techniques is applied to propose a thinning schedule for Hsinchu Forest District to achieve multiple forest management when carbon reduction is considered.
The results show that MCGP can rapidly help forest managers to search for a proper planning horizon for Canadian multiple forest management case. But, forest managers may miss a better ideal solution while the set target goal values are far from the best ideal solution. After expending the search range, 3-level MCGP can reduce the search range by half in each run and avoid the number of comparison in MCGP method. Second, the model built by MSGP with linear goal programming indicates that 768 times of simulation can be finished in just one run and still get the appropriate thinning schedule to maximize the carbon sequestration. Finally, the 3-level MCGP and LP are applied to build a model for artificial Sugi. age-classes in Hsinchu Forest District to plan an appropriate thinning schedule for multiple forest management when carbon reduction is considered. The results show that these two techniques can reduce many simulations and comparisons in various thinning regimes and combinations of target goal values to plan an appropriate thinning schedule to achieve the expected carbon sequestration, jobs and soil protection goals. | en |
| dc.description.provenance | Made available in DSpace on 2021-05-20T21:00:16Z (GMT). No. of bitstreams: 1 ntu-100-D93625002-1.pdf: 2813250 bytes, checksum: f9f25f7edcdc1d8c74d83b9d6ddaf491 (MD5) Previous issue date: 2011 | en |
| dc.description.tableofcontents | 目錄
謝誌 I 中文摘要 III Abstract IV 第壹章、緒論 1 一、研究背景 1 二、研究流程 5 第貳章、文獻回顧 7 一、疏伐之減碳效果 7 二、碳吸存之成本效能 12 三、數學規劃法在林業經營之應用 14 第參章、研究方法 19 一、研究架構 19 二、研究案例 22 三、分析技術 24 （一）複選目標規劃法 24 （二）多段目標規劃法 28 （三）蒙地卡羅模擬法 29 第肆章、三階複選目標規劃法之研究 31 一、期望目標值設定概念之探討 31 二、三階複選目標規劃法之設定 33 三、三階複選目標規劃法設定步驟 36 第伍章、疏伐成本效能及不確定性評估 38 一、蒙地卡羅模擬模型設定 38 二、模型參數設定 40 三、成本效能指數與風險分析 42 四、小結 45 第陸章、MCGP及3-level MCGP於森林經營之應用 46 一、加拿大多目標森林經營案例 46 二、MCGP決策最適經營期程之效率 49 三、MCGP求取最適經營期程之較佳解 51 四、3-level MCGP、GP及MCGP之求解效率比較 53 五、3-level MCGP及GP之林地配置比較 58 六、小結 59 第柒章、多段目標規劃在疏伐規劃之應用 60 一、新竹林管處人工林案例 60 二、疏伐減碳模型設定 62 (一)目標式及限制式設定 63 (二)疏伐後生長率 66 三、最大碳吸存目標之最適疏伐規劃 68 四、最終蓄積 70 五、小結 71 第捌章、新竹林管處柳杉林減碳多目標規劃方案 72 一、目標值及目標式設定 72 (一)碳吸存目標 72 (二)就業機會目標及目標式 72 (三)土壤沖蝕控制目標及目標式 74 二、多目標森林經營之最適疏伐規劃 76 三、小結 80 第玖章、結果與討論 81 第拾章、參考文獻 84 第拾壹章、附錄 93 表目錄 表2-3-1、DP、LP及GP之比較 17 表5-2-1、不同疏伐程度之疏伐木收穫 40 表5-2-2、55年生之林分蓄積推估 40 表5-3-1、不同疏伐程度的減碳效果 42 表5-3-2、不同疏伐的減碳成本效能指數 43 表5-3-3、不同疏伐之成本效能指數之累積機率 44 表6-1-1、林地利用政策 47 表6-1-2、加拿大案例之期望目標值及研究結果 48 表6-2-1、最適經營期程決策 50 表6-3-1、MCGP求取之最適經營期程較佳解 52 表6-4-1、三階複選目標規劃之目標值設定及求得解 54 表6-4-2、三階複選目標規劃及目標規劃求得解之比較 56 表6-4-3、任意設定目標值並利用MCGP求解 57 表6-5-1、林地配置的改變 58 表7-1-1、新竹林管處各齡級之林況 61 表7-2-1、不同齡級在各期經不同程度疏伐後之生長率 67 表7-3-1、最適疏伐規劃之林地配置及碳吸存量 69 表8-1-1、各疏伐作業細項之工資及效率 73 表8-1-2、不同疏伐程度的土壤沖蝕增量 75 表8-2-1、三階複選規劃法之計算過程 76 表8-2-2、碳吸存等多目標森林經營之疏伐期程規劃與產出 79 圖目錄 圖1-2-1、研究流程 6 圖3-1-1、研究架構 21 圖3-3-1、複選目標規劃法之求解概念 27 圖4-1-1、複選目標規劃法之目標值設定偏差問題 32 圖4-2-1、三階複選規劃法之求解概念 35 圖6-4-1、三階複選目標規劃過程中各目標的目標值改變比率 55 | |
| dc.language.iso | zh-TW | |
| dc.title | 三階複選目標規劃法於森林疏伐減碳規劃之研究 | zh_TW |
| dc.title | A Study on 3-level Multi-choice Goal Programming for Carbon Reduction by Forest Thinning | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 99-2 | |
| dc.description.degree | 博士 | |
| dc.contributor.oralexamcommittee | 鄭祈全,汪大雄,馮豐隆,謝雨生,張錦特 | |
| dc.subject.keyword | 森林經營,複選目標規劃,森林疏伐,碳吸存,多段目標規劃, | zh_TW |
| dc.subject.keyword | forest management,multi-choice goal programming,forest thinning,carbon sequestration,multi-segment goal programming, | en |
| dc.relation.page | 94 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2011-07-22 | |
| dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
| dc.contributor.author-dept | 森林環境暨資源學研究所 | zh_TW |
| 顯示於系所單位： | 森林環境暨資源學系 | |
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| ntu-100-1.pdf | 2.75 MB | Adobe PDF | 檢視/開啟 |
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