結合地下出流預測改良AVSWAT模式流量模擬-以印尼Lesti河流流域為例

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姓名

克麗絲汀(Christina Rahayuningtyas) 查詢紙本館藏

畢業系所

土木工程學系

論文名稱

結合地下出流預測改良AVSWAT模式流量模擬-以印尼Lesti河流流域為例
(Improving AVSWAT Streamflow Simulation by Cooperating Groundwater Recharge Prediction in Upstream Lesti Watershed, East Java, Indonesia)

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摘要(中)

Lesti集水區位於印及爪哇島東部，面積為380平方公里。Lesti集水區流量為下游水資源需求之主要來源，然而集水區常受當地降雨之高度時間與空間變異性影響，流量呈現劇烈之年間變化，嚴重影響下游水資源之供應穩定度。有鑑於此，本研究嘗試提升上游集水區水文狀況之掌握程度，以增加下游水資源供應之效率與穩定程度。本研究利用Lesti上游集水區之地下水位位線波動推估集水區之地下水出流量，並結合
AVSWAT ( Arc View Soil Water Assesment Tool)模式得到集水區之出流量。地下水位線波動是由Lesti集水區中4水井所測得，可獲得季節與年際之地下水位波動情形，用以推估集水區地下水出流量。而集水區中水井觀測資料顯示，2007年年際變化幅度為2800mm至5700mm，2008年變化幅度為3900mm至4700mm，2009年變化幅度為3200mm至5100mm，2010年變化幅度為2800mm至4600mm。而根據以上觀測結果，2007年之地下水出流推估量為736 mm，2008年之地下水出流推估量為820,9 mm，2009年地下水出流推估量為786,7 mm，2010年地下水出流推估量為306,4 mm，相關係數R-square大於0.7。而在本研究中2007年至2010年中Dv(%)則維持在23.32%-55.3%之間。

摘要(英)

Upstream Lesti Watershed is one of the major watershed of East Java of Indonesia and it covers about 380,93 Ha. The basin has enough water resources to meet current demands but there are many challenges including high spatial and temporal variability in precipitation during one year. Good understanding of the water condition is very necessary to know the effect on streamflow of the Lesti river in each sub basin.
This study investigated the contribution of sustainable management water resources in the Upstream Lesti Watershed by prediction the recharge of groundwater using water table fluctuation especially in dry season which can cooperating with the performance of the AVSWAT program ( Arc View Soil Water Assesment Tool) model by comparing observed streamflows with simulated streamflows at outlet.
The water table fluctuation method from 4 well was used in the Upstream Lesti Watershed to evaluate the seasonal and annual variations in water level rise and to estimate the groundwater prediction (deep aquifer). The results show that annual water level rise with a range of 2800 mm - 5700 mm in 2007; 3900 mm - 4700 mm in 2008; 3200 mm – 5100 mm in 2009, and 2800 mm – 4600 mm in 2010. Based on standard values of specific yield and the measured water level rise, the prediction from area weighted that occur in sub basin 39 outlets in 2007 amounted to 736 mm; in 2008, amounted to 820,9 mm; in 2009 amounted to 786,7 mm, and the lowest was in 2010 are equal to 306,4 mm. Also, the correlation coefficient has a direct positive relationship range 0,7 < R <1 in the while Dv (%) in this study the smaller values of Dv were satisfied with the range of 23.32% - 55.3% in 2007 - 2010.

關鍵字(中)

★ AVSWAT
★ 地下水出流量推估
★ 地下水位波動
★ 集水區流量

關鍵字(英)

★ AVSWAT
★ Groundwater Prediction
★ Water Table Fluctuation
★ Streamflow

論文目次

Abstract i
Chinese Abstract ii
Acknowledgements iii
Table of Contents iv
List of Tables vii
List of Figures ix
Chapter 1 Introduction 1
1.1 Background 1
1.2 Problem Identification 2
1.3 The Research Problem 3
1.4 The Aim and Benefit of Research 3
Chapter 2 Literature Review 5
2.1 Precipitation 5
2.1.1 Rain Station 5
2.1.2 Consistency Test Rainfall Data With Double Mass Curve 5
2.1.3 Regression Testing and Analysis of Hydrological Data Correlation 6
2.2 Geographic Information Systems (GIS) 8
2.2.1 Definition of GIS 8
2.2.2 Data Structures 8
2.3 AVSWAT 2000 (Arc View Soil and Water Assessment Tool) 9
2.3.1 Component AVSWAT 2000 11
2.3.2 Hydrological Data Input to AVSWAT 2000 12
2.3.3 Simulation Result AVSWAT 2000 16
2.4 Groundwater recharge 17
2.4.1 Groundwater in AVSWAT model 19
2.5 Estimation of Water Level Rise ( ∆h) 21
2.6 Specific Yield 22
Chapter 3 Study Area 24
3.1 The Location of Case Study 24
3.2 Study Area Conditions 25
3.2.1 Climate 25
3.2.2 Topography Condition 26
3.2.3 Land Use Condition 26
3.2.4 Soil Type Condition 27
3.2.5 Hydrology Condition 28
Chapter 4 Methodology 29
4.1 Systematics Work Study 29
4.1.1 Data Collection Methods 29
4.1.2 Troubleshooting Steps Study 30
4.1.3 Analysis of the Results 34
Chapter 5 Result and Discussion 36
5.1 Determination Watershed Boundary 36
5.2 Rainfall Data 39
5.2.1 Mass Double Curve 41
5.2.2 Rainfall Data for Input AVSWAT 46
5.2.3 Landuse and Soil Type 51
5.2.4 Input Proceessing for Landuse and Soil Type 53
5.3 HRU Proceessing (Hydrologic Response Unit) 56
5.4 Weather Station Data Proceessing 57
5.5 AVSWAT Running Simulation 58
5.6 The Result Simulation Before Calibration 60
5.7 Calibration Parameter in AVSWAT 2000 72
5.8 Water Table Fluctuation for Groundwater Recharge 75
5.8.1 Well Observed 76
5.8.2 Water Level Measurement 77
5.9 Water level rise 77
5.10 Groundwater Recharge Prediction 83
5.11 Percolation Deep Aquifer Analysis 88
5.12 Consistency Test The Result 92
5.12.1 Correlation Coefficient (R) 92
5.12.2 Deviation of runoff volumes (Dv) 95
Chapter 6 Conclusions 96
6.1 Conclusion 96
6.2 Recommendation 98
References 99
Appendix A 104

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指導教授

吳瑞賢

審核日期

2013-8-15

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