1186 DFOS success requires displaying data into a governance‑ready dashboard. This includes automated processing, zoning, alarming, and spatial visualization that are necessary to avoid data fatigue and to create traceable links between signals, interpretation, and action. This is directly aligned with GISTM’s emphasis on monitoring and accountability. [10][7] Table 1 maps common TSF failure mechanisms to DFOS measurements and implementable, TARP‑linked actions. Table 1 – TSF failure modes mapped to DFOS and example actions linked to TARP DFOS module Primary signal / feature Indicative TSF failure mechanism Example operational action (TARP‑linked) DTS Passive seasonal temperature signature over time and space Preferential seepage pathway; drain performance change; wetting front / moisture content change (supports internal erosion risk management) [5][7][8] Targeted drain/toe inspection; adjust pond management; localised remediation; increase sampling frequency [4][5][8] DSS (Brillouin) Strain localisation; strain‑rate acceleration; differential response across raises Settlement; shear deformation; crack initiation; raise instability [7][9] Verify with survey and pore pressure; prioritise geotechnical investigation; implement staged raise/buttress; escalate per TARP thresholds [6][7] DAS (Rayleigh) Strain rates; spectral energy; coherence; relative velocity change via ANI Dynamic precursors and change detection: evolving saturation/porosity signatures; operational disturbances (traffic/blasting); seismic response context [2][3] Classify events vs baseline; impose operational constraints if anomalies persist; trigger enhanced inspections and complementary measurements; run repeat ANI survey for change confirmation [2][13] 4.2 From sensing to governance: implementation, and adoption pathway TSF DFOS programs succeed when the sensing system is delivered as an end‑to‑end monitoring capability, not as a stand‑alone instrument stream. This requires (1) fit‑for‑purpose fibre specs, layout design and installation practices, (2) commissioning and QA/QC that establish calibrated baselines, (3) interpretation workflows that connect DFOS measurements to TSF risk mechanisms, and (4) a ‘decision translation’ layer that aligns outputs to TARPs, and EoR toolkit and seamless integration with their workflow. Provider competency with DFOS also matters because performance and usability are strongly influenced not only by hardware/technology ability, but also by TSF domain expertise, and end-to-end workflows. For TSFs, a competent solution provider should be able to partner with the Operator and EoR to co‑design: (a) a consequence‑based fibre layout (crest/toe/drains/abutments and optional boreholes), (b) commissioning tests that verify sensitivity and localization, and (c) dashboards and alerting that translate distributed signals into clear operational states.
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