diff --git a/src/central/models.py b/src/central/models.py
index 9671202..5bc00df 100644
--- a/src/central/models.py
+++ b/src/central/models.py
@@ -1,79 +1,87 @@
-"""Data models for Central event processing."""
-
-from datetime import datetime
-from typing import Any
-
-from pydantic import BaseModel, ConfigDict
-
-
-class Geo(BaseModel):
-    """Geographic context for an event."""
-
-    model_config = ConfigDict(extra="forbid", frozen=True)
-
-    centroid: tuple[float, float] | None = None  # (lon, lat) GeoJSON order
-    bbox: tuple[float, float, float, float] | None = None  # (minLon, minLat, maxLon, maxLat)
-    regions: list[str] = []  # ["US-ID-Ada", "US-ID-Z033", ...]
-    primary_region: str | None = None  # alphabetically first region, used for subject
-
-
-class Event(BaseModel):
-    """Canonical event representation for all adapters."""
-
-    model_config = ConfigDict(extra="forbid", frozen=True)
-
-    id: str  # unique, stable across republish
-    source: str  # adapter identity, e.g. "central/adapters/nws"
-    category: str  # e.g. "wx.alert.severe_thunderstorm_warning" or "fire.hotspot.viirs_snpp.high"
-    time: datetime  # event-time UTC, not processing-time
-    expires: datetime | None = None
-    severity: int | None = None  # 0..4 or None for "Unknown"
-    geo: Geo
-    data: dict[str, Any]  # adapter-specific payload
-
-
-def subject_for_event(ev: Event) -> str:
-    """
-    Compute the NATS subject for an event based on its category.
-
-    Dispatch by category prefix:
-    - fire.*: returns central.<category> directly
-    - wx.*: uses weather alert subject logic
-
-    Weather alert subjects:
-      central.wx.alert.us.<state_lower>.county.<county_lower>
-    or
-      central.wx.alert.us.<state_lower>.zone.<zone_lower>
-    based on whether the primary_region encodes a county or a zone.
-
-    Fire hotspot subjects:
-      central.fire.hotspot.<satellite>.<confidence>
-    """
-    # Fire events: subject is just central.<category>
-    if ev.category.startswith("fire."):
-        return f"central.{ev.category}"
-
-    # Weather events: use geo-based subject logic
-    prefix = "central.wx"
-
-    if ev.geo.primary_region is None:
-        return f"{prefix}.alert.us.unknown"
-
-    region = ev.geo.primary_region
-
-    # Parse US-<STATE>-<CODE> format
-    # County codes are like "Ada", "Canyon" (names)
-    # Zone codes start with "Z" like "Z033"
-    parts = region.split("-")
-    if len(parts) < 3 or parts[0] != "US":
-        return f"{prefix}.alert.us.unknown"
-
-    state = parts[1].lower()
-    code = "-".join(parts[2:])  # Handle multi-part names like "Payette-Washington"
-
-    if code.startswith("Z") and len(code) >= 2 and code[1:].isdigit():
-        # Zone code like Z033
-        return f"{prefix}.alert.us.{state}.zone.{code.lower()}"
-    else:
-        # County name
-        return f"{prefix}.alert.us.{state}.county.{code.lower()}"
+"""Data models for Central event processing."""
+
+from datetime import datetime
+from typing import Any
+
+from pydantic import BaseModel, ConfigDict
+
+
+class Geo(BaseModel):
+    """Geographic context for an event."""
+
+    model_config = ConfigDict(extra="forbid", frozen=True)
+
+    centroid: tuple[float, float] | None = None  # (lon, lat) GeoJSON order
+    bbox: tuple[float, float, float, float] | None = None  # (minLon, minLat, maxLon, maxLat)
+    regions: list[str] = []  # ["US-ID-Ada", "US-ID-Z033", ...]
+    primary_region: str | None = None  # alphabetically first region, used for subject
+
+
+class Event(BaseModel):
+    """Canonical event representation for all adapters."""
+
+    model_config = ConfigDict(extra="forbid", frozen=True)
+
+    id: str  # unique, stable across republish
+    source: str  # adapter identity, e.g. "central/adapters/nws"
+    category: str  # e.g. "wx.alert.severe_thunderstorm_warning" or "fire.hotspot.viirs_snpp.high"
+    time: datetime  # event-time UTC, not processing-time
+    expires: datetime | None = None
+    severity: int | None = None  # 0..4 or None for "Unknown"
+    geo: Geo
+    data: dict[str, Any]  # adapter-specific payload
+
+
+def subject_for_event(ev: Event) -> str:
+    """
+    Compute the NATS subject for an event based on its category.
+
+    Dispatch by category prefix:
+    - fire.*: returns central.<category> directly
+    - quake.*: returns central.<category> directly
+    - wx.*: uses weather alert subject logic
+
+    Weather alert subjects:
+      central.wx.alert.us.<state_lower>.county.<county_lower>
+    or
+      central.wx.alert.us.<state_lower>.zone.<zone_lower>
+    based on whether the primary_region encodes a county or a zone.
+
+    Fire hotspot subjects:
+      central.fire.hotspot.<satellite>.<confidence>
+
+    Quake event subjects:
+      central.quake.event.<magnitude_tier>
+    """
+    # Fire events: subject is just central.<category>
+    if ev.category.startswith("fire."):
+        return f"central.{ev.category}"
+
+    # Quake events: subject is just central.<category>
+    if ev.category.startswith("quake."):
+        return f"central.{ev.category}"
+
+    # Weather events: use geo-based subject logic
+    prefix = "central.wx"
+
+    if ev.geo.primary_region is None:
+        return f"{prefix}.alert.us.unknown"
+
+    region = ev.geo.primary_region
+
+    # Parse US-<STATE>-<CODE> format
+    # County codes are like "Ada", "Canyon" (names)
+    # Zone codes start with "Z" like "Z033"
+    parts = region.split("-")
+    if len(parts) < 3 or parts[0] != "US":
+        return f"{prefix}.alert.us.unknown"
+
+    state = parts[1].lower()
+    code = "-".join(parts[2:])  # Handle multi-part names like "Payette-Washington"
+
+    if code.startswith("Z") and len(code) >= 2 and code[1:].isdigit():
+        # Zone code like Z033
+        return f"{prefix}.alert.us.{state}.zone.{code.lower()}"
+    else:
+        # County name
+        return f"{prefix}.alert.us.{state}.county.{code.lower()}"