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IDA-PTW EEWS Review Tinjauan IDA-PTW EEWS 03 · Evidence A–D Appendix 03 · Lampiran Evidence A–D

Evidence A–D — IDA-PTW Validation Appendix

Evidence A–D — Lampiran Validasi IDA-PTW

One-page English summary of all four independent experiments validating the IDA-PTW pipeline. The .docx file is designed for direct attachment to the IEEE Access submission.

Ringkasan satu halaman berbahasa Inggris untuk keempat eksperimen independen yang memvalidasi pipeline IDA-PTW. File .docx dirancang untuk dilampirkan langsung ke submission IEEE Access.

FormatFormat Word .docx · US Letter · 2 pages Word .docx · US Letter · 2 halaman LanguageBahasa English Inggris GeneratedDihasilkan 2026-04-22

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Evidence A — Fixed PTW Benchmark vs. IDA-PTW Adaptive

Evidence A — Benchmark Fixed PTW vs. IDA-PTW Adaptif

IDA-PTW Adaptive matches Fixed 10 s composite accuracy while providing sub-3 s latency for the dominant (>94%) low-intensity event class. At Sa(0.3s) — the most safety-critical structural period — IDA-PTW outperforms Fixed 10 s by +0.9 p.p.

IDA-PTW Adaptif mencapai akurasi komposit setara Fixed 10 s sambil memberikan latensi di bawah 3 s untuk kelas event intensitas-rendah yang dominan (>94%). Pada Sa(0,3 s) — periode struktural paling kritis untuk keselamatan — IDA-PTW mengungguli Fixed 10 s sebesar +0,9 p.p.

MethodMetode PTW R² Sa(0.3s) R² Sa(1.0s) R² Sa(3.0s) Avg R²R² rata-rata N
Fixed PTWPTW Tetap2 s0.84870.79010.7703~0.81025,05825.058
Fixed PTWPTW Tetap3 s0.85320.79940.7834~0.81925,05825.058
Fixed PTWPTW Tetap5 s0.85950.80730.7916~0.82625,05825.058
Fixed PTWPTW Tetap8 s0.86430.81360.7987~0.83125,05825.058
Fixed PTWPTW Tetap10 s0.86700.81970.8142~0.83325,05825.058
IDA-PTW AdaptiveIDA-PTW Adaptif3–10 s0.87590.82920.8195~0.8322,747*2.747*

* IDA-PTW evaluated on the N=2,747 stratified subset (traces with valid 3s+5s+10s windows). Fixed PTW rows on N=25,058. Source: benchmark_results_fixed.csv, benchmark_results_ida.csv.

* IDA-PTW dievaluasi pada subset stratified N=2.747 (trace dengan window 3s+5s+10s valid). Baris Fixed PTW pada N=25.058. Sumber: benchmark_results_fixed.csv, benchmark_results_ida.csv.

Evidence B — Information Ceiling Analysis

Evidence B — Analisis Information Ceiling

The theoretical upper bound achievable on this dataset; adding ~88.9 s of pre-P ambient noise yields only +0.93% R², empirically confirming that pre-P information is negligible for spectral prediction.

Batas atas teoretis yang dapat dicapai pada dataset ini; menambahkan ~88,9 s derau ambient pra-P hanya memberikan +0,93% R², secara empiris membuktikan bahwa informasi pra-P dapat diabaikan untuk prediksi spektral.

MethodMetode WindowJendela R² Sa(0.3s) R² Sa(1.0s) R² Sa(3.0s) Avg R²R² rata-rata
IDA-PTW AdaptiveIDA-PTW Adaptif3–10 s0.87590.82920.81950.832
Post-P Full-Wave †~341 s0.95080.94640.94380.9477
Total MiniSEED †~430 s0.96420.96120.95050.9570
Δ (Total − Post-P)Δ (Total − Post-P)+88.9 s noise+88,9 s derau+1.3%+1.5%+0.7%+0.93%

† Post-P Full-Wave and Total MiniSEED values are quoted from experimental runs c7a50193 and c3399cac respectively; raw per-period CSVs not retained in current reports/. See cross-check for status.

† Nilai Post-P Full-Wave dan Total MiniSEED dikutip dari eksperimental run c7a50193 dan c3399cac; CSV per-periode raw tidak tersimpan di reports/ saat ini. Lihat cross-check untuk status.

Evidence C — Magnitude Saturation Test (High-PGA Subset)

Evidence C — Uji Magnitude Saturation (Subset PGA-Tinggi)

Forcing high-intensity events (PGA ≥ 0.1 gal, N=1,204) into fixed 3-second windows severely degrades long-period spectral accuracy — the saturation effect that IDA-PTW's 10 s Damaging-class window is designed to prevent.

Memaksakan event intensitas-tinggi (PGA ≥ 0,1 gal, N=1.204) ke window tetap 3 detik menurunkan akurasi spektral periode-panjang secara signifikan — efek saturasi yang dirancang untuk dicegah oleh window 10 s kelas Damaging pada IDA-PTW.

PeriodPeriode Fixed 3 s (Saturated)Fixed 3 s (Saturasi) Fixed 15 s (Optimal)Fixed 15 s (Optimal) Absolute ΔR²ΔR² absolut Relative GainGain relatif
Sa(1.0 s)0.64540.7198+0.0744+11.5%
Sa(3.0 s)0.60890.6748+0.0659+10.8%
Sa(5.0 s)0.59660.6654+0.0688+11.5%

Source: saturation_test_results.csv. Relative gain reported against the Fixed 3 s baseline for direct physical interpretation.

Sumber: saturation_test_results.csv. Gain relatif dilaporkan terhadap baseline Fixed 3 s untuk interpretasi fisis langsung.

Evidence D — P-Arrival Pick Sensitivity

Evidence D — Sensitivitas Pick P-Arrival

Fixed 10 s PTW under synthetic P-pick perturbations ±2 s. The pipeline's dominance of cumulative features (CAV, CVAD, Arias Intensity) confers robustness to realistic picking errors — maximum degradation is 0.45%, well below the median error of any operational P-picker.

Fixed 10 s PTW di bawah perturbasi P-pick sintetis ±2 s. Dominasi fitur kumulatif (CAV, CVAD, Arias Intensity) membuat pipeline robust terhadap error picking realistis — degradasi maksimum 0,45%, jauh di bawah median error P-picker operasional mana pun.

P-shift R² Sa(0.3s) R² Sa(1.0s) R² Sa(3.0s) Avg R² ΔR² vs GT
−2.0 s0.86440.81160.80860.8282−0.0054
−1.0 s0.86680.81660.81170.8317−0.0019
−0.5 s0.86560.81780.81310.8321−0.0015
0.0 s (GT)0.86700.81970.81420.83360.0000
+0.5 s0.86290.81730.81120.8305−0.0031
+1.0 s0.86220.81520.81180.8297−0.0039
+2.0 s0.86240.81380.81120.8291−0.0045

Source: p_arrival_sensitivity.csv. Ground-truth (0.0 s) picks confirmed optimal, validating dataset pick quality.

Sumber: p_arrival_sensitivity.csv. Pick ground-truth (0,0 s) terbukti optimal, memvalidasi kualitas pick di dataset.

Synthesis

Sintesis

The four evidences establish a coherent validation hierarchy:

Keempat evidence membentuk hierarki validasi yang koheren:

Appendix Preview (DOCX rendered as images)

Pratinjau Lampiran (DOCX ditampilkan sebagai gambar)

Appendix page 1
Page 1 — Evidence A + B tables
Halaman 1 — Tabel Evidence A + B
Appendix page 2
Page 2 — Evidence D + Synthesis + Data Provenance
Halaman 2 — Evidence D + Sintesis + Data Provenance