Use Subsurface Altitude and Groundwater Level Variations to Estimate Land Subsidence in Choushui River Alluvial Fan, Taiwan. Reporter : Ya-Yun Zheng
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1 Use Subsurface Alttude and Groundwater Level Varatons to Estmate Land Subsdence n Choushu Rver Alluval Fan, Tawan 1 Reporter : Ya-Yun Zheng Graduate School of Safety Health and Envronmental Engneerng, Natonal Yunln Unversty of Scence and Technology November 17, 2016
2 Outlne 2 Motvaton and Purpose Materals and Methods Results and Dscusson Concluson and Suggeston
3 Motvaton and Purpose Study Motvaton: Ranfall s one of the sources of groundwater. However, tme and spatal dstrbuton of each ranfall event are dfferent. Therefore, the relatonshp of spatal dstrbuton between ranfall event and groundwater s worth dscusson. Study Purpose: Analyze the correlaton between groundwater level and dfferent ranfall events at Choushu Rver Alluval Fan, Tawan. 3
4 Materals and Methods (1/6) 4 Choushu Rver CHANGHUA YUNLIN Ranfall Staton Groundwater Level Staton Study Ste Choushu Rver Alluval Fan, Tawan Dranage area 3, km2 Groundwater Level Staton 44 (Black ponts), hourly data for the frst aqufer n 2007 Ranfall Staton 56 (Red trangle), hourly data n 2007
5 Study Process 44 Groundwater Montorng Statons (2007) Materals and Methods (2/6) 5 56 Ranfall Statons (2007) Thessen Polygon Method Eagleson et al., 1982 Defne Groundwater Level Statons n Influence Radus (10km) of Ranfall Statons Hourly Average Ranfall Results Defne Inter-arrval Tme (Ranless Perod) of Independent Ranfall Events Choose Independent Ranfall Event Perods Cross Correlaton Analyss Choose Raw Data of 56 Ranfall Statons n Each Independent Ranfall Event Perods Dstrbuton of Max Cross Correlaton results Ranfall Center of Events Dscusson Result and Reach for Concluson
6 Materals and Methods (3/6) Calculated hourly average ranfall Thessen Polygon Method P( t) = A P ( t) = 1 A P( t) : Hourly averageprecptaton over the whole domnated area (for a gven tme perod, t) A : Control area of ranfall staton n catchment area P ( t) : Hourly data of ranfall staton N = 1 N (for a gven tme perod, t) N : Amount of polygon catchment 6
7 Materals and Methods (4/6) Defne Inter-arrval Tme (Ranless Perod, t b ) and Independent Ranfall Events Eagleson et al.(1982) used a sample statstcal assumpton that t b s goodness of ft as exponentally dstrbuted and ther mean and standard devaton are equal. The coeffcent of varaton of the exponental dstrbuton s CV[t b ] σ[t b ]/E[t b ] = 1 Use t b and 2007 hourly average ranfall to determne 2007 ndependent ranfall event perods. Choose raw data of 56 ranfall statons n each ndependent ranfall event perods to do analyss. 7
8 Materals and Methods (5/6) 8 Defne Influence Radus of Ranfall Statons Defne nfluence radus of each ranfall statons s 10 km (dashed crcle). Only use groundwater level staton raw data n ranfall statons nfluence radus to do analyss.
9 ( )( ) [ ] ( ) ( ) = = = = = = = + = N N N N t N y N y x N x y y N x x N y t y x x t N t Cor ) ( 1 ) ( 1 ) ( 1 ) ( 1 ) ( ) ( 1 ) ( Materals and Methods (6/6) 9 Cross Correlaton Analyze cross correlaton by raw data of ranfall staton and groundwater level statons n ndependent ranfall event perod. In order to calculate complete delay varaton of groundwater level n each ndependent ranfall event, the study added 120 hours groundwater level data and 120 hours zero ranfall data after raw ranfall event data range to do cross correlaton. x() : 2007 Ranfall event staton hourly data (mm) y() : 2007 Groundwater level statons hourly data (m) N : Amount of ranfall data and groundwater level data t : Lag tme (hr)
10 Results and Dscusson (1/19) 10 Showed the average ranfall tme dstrbuton by Thessen plygon method.
11 Results and Dscusson (2/19) Showed the CV(t b ) lne. When CV(t b ) = 1, yeld the values of t b s 17 hours. 11
12 Results and Dscusson (3/19) 12 Showed 51 ndependent ranfall event perods by hourly average ranfall and t b = 17 hours.
13 Results and Dscusson (4/19) 13 Accumulaton ranfall contour maps of 51 ndependent ranfall events. Showed the dfferent of tme and spatal dstrbuton. After takng the results of max cross correlaton locaton compared to the same as the locaton of accumulaton ranfall center, t s found there are four categores.
14 Results and Dscusson (5/19) Category 1: Accumulaton ranfall n 10~1560 mm, 0.5 Cor. 14 Event_04 Event_08 Event_11 Event_26 Ranfall Center 01/ / / / / / / /02 21
15 Typhoon PABUK: Aug 7-8 Results and Dscusson (6/19) Category 1: Accumulaton Typhoon ranfall WIPHA: n 10~1560 Sep mm, 0.5 Cor Event_28 Event_31 Event_33 Event_35 15 Typhoon KROSA: Oct 4-8 Ranfall Center 07/ / / / / / / /09 19
16 Results and Dscusson (7/19) Category 2: Accumulaton ranfall n 3.5~505 mm, 0.3 Cor < Event_01 Event_02 Event_05 Event_07 Ranfall Center 01/ / / / / / / /08 02
17 Results and Dscusson (8/13) Category 2: Accumulaton ranfall n 3.5~505 mm, 0.3 Cor < Event_10 Event_12 Event_13 Event_14 Ranfall Center 02/ / / / / / / /05 07
18 Results and Dscusson (9/19) Category 2: Accumulaton ranfall n 3.5~505 mm, 0.3 Cor < Event_15 Event_16 Event_17 Event_18 Ranfall Center 04/ / / / / / / /01 14
19 Results and Dscusson (10/19) Category 2: Accumulaton ranfall n 3.5~505 mm, 0.3 Cor < Event_19 Event_21 Event_22 Event_23 Ranfall Center 05/ / / / / / / /13 19
20 Results and Dscusson (11/19) Category 2: Accumulaton ranfall n 3.5~505 mm, 0.3 Cor < Event_24 Event_25 Event_29 Event_34 Ranfall Center 06/ / / / / / / /28 23
21 Results and Dscusson (12/19) Category 2: Accumulaton ranfall n 3.5~505 mm, 0.3 Cor < Event_36 Event_38 Event_40 Event_44 Ranfall Center 10/ / / / / / / /29 09
22 Event_49 12/ /25 03 Results and Dscusson (13/19) Category 2: Accumulaton ranfall n 3.5~505 mm, 0.3 Cor < Ranfall Center
23 Results and Dscusson (14/19) Category 3: Accumulaton ranfall n 6.5~97 mm, Cor< Event_27 Event_30 Event_39 Event_43 Ranfall Center 07/ / / / / / / /19 23
24 Results and Dscusson (15/19) Category 4: Regonal ranfall events 24 Event_03 Event_06 Event_09 Event_20 Ranfall Center 01/ / / / / / / /13 21
25 Results and Dscusson (16/19) Category 4: regonal ranfall events Event_32 Event_37 Event_41 Event_42 25 Ranfall Center 09/ / / / / / / /18 08
26 Results and Dscusson (17/19) Category 4: regonal ranfall events 26 Event_45 Event_46 Event_47 Event_48 Ranfall Center 12/ / / / / / / /15 07
27 Results and Dscusson (18/19) Category 4: regonal ranfall events Event_50 Event_51 12/ / / / Ranfall Center
28 Results and Dscusson (19/19) Stuaton Accumulaton ranfall of ranfall center area(mm) Max cross correlaton of ranfall center area Category 1 10~ Category 2 3.5~ , 0.5< Category 3 6.5~97 0.3< Category 4 1.5~ ~ Locaton of ranfall center area Proxmal fan: 4 Mddle fan: 0 Dstal fan: 4 Proxmal fan: 13 Mddle fan: 8 Dstal fan: 4 Proxmal fan: 2 Mddle fan: 2 Dstal fan: 0 Proxmal fan: 0 Mddle fan: 14 Dstal fan: 0 Amount of ranfall event Amount of max Cor. match n ranfall center area
29 Concluson and Suggeston The results of 51 ranfall events show dfferent ranfall center spatal dstrbuton. Most of ranfall center of ranfall events are n proxmal fan. 2. The results of correlaton analyss are classfed 4 categores and the results show that the hgher accumulaton ranfall, the larger cross correlaton between accumulated ranfall and groundwater level. 3. Almost max cross correlaton occurred at the same area as the accumulated ranfall center of each event. 4. Ths study haven t done cross correlaton analyss between ranfall and land subsdence. The next step wll use these result to do the analyss.
30 30 Thanks for Your Attenton.
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