hydrosovereign-hsae 6.7.3

HydroSovereign AI Engine (HSAE) — provenance-bound transboundary water analysis with honest, data-driven indices

HydroSovereign AI Engine (HSAE) — v6.0.2

A provenance-bound, data-driven rebuild of the HydroSovereign AI Engine for transboundary water analysis under the UN Watercourses Convention (1997).

This is a clean parallel edition (hydrosovereign-hsae) that runs alongside the legacy hydrosovereign package without replacing it.

What is different in this edition

This rebuild was undertaken to put every result on a defensible scientific footing:

1. No fabricated numbers. Every index computes only from provenance-verified observations. When required observed data are absent, the engine returns INSUFFICIENT_DATA — it never substitutes a hard-coded constant.
2. Indices match their definitions. HIFD takes independent Q_nat and Q_obs, so it cannot algebraically collapse to a constant. ATDI is the empirical mean of per-period TDI from observed inflow/outflow.
3. Empirical vs. normative are separated. ATDI (empirical, hydrological) is distinct from AWGI (an explicit, normalised, sensitivity-tested governance composite). They are never conflated.
4. The model is genuinely trained. TreatyClassifier is a real gradient-boosting model trained on the TFDD treaties database, with an honest model card (F1, ROC-AUC, cross-validation, baseline). It classifies a documented treaty property — not negotiation success/failure.

Install

pip install hydrosovereign-hsae

Quick start — data with provenance

from hydrosovereign_hsae import (
    DataPoint, DataQuality, DataRegistry, hifd_for_basin,
)

reg = DataRegistry()

# Anyone holding real, documented observations can contribute them.
reg.submit("GERD", DataPoint(
    value=1248.0, variable="Q_obs", unit="m3/s",
    source="GRDC station 1577100 (El Diem)",
    source_ref="https://grdc.bafg.de/  (request 78949)",
    date_start="2010-01-01", date_end="2020-12-31",
    quality=DataQuality.OBSERVED), contributor="Researcher A, ORCID ...")

# Without an independent, observed Q_nat this returns INSUFFICIENT_DATA —
# never a fabricated value.
result = hifd_for_basin(reg, "GERD")
print(result.status, result.value)

Data sources

• TFDD International Freshwater Treaties Database (Oregon State University) — used to train the treaty-feature classifier.
• GRDC observed discharge — for legally-relevant index computation (contributed through the open registry).

Honesty statement

Modest model skill and INSUFFICIENT_DATA results are reported as-is. The engine is designed so that an absence of data produces an explicit non-result rather than a misleading number.

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hydrosovereign-hsae v6.7.3 · GPL-3.0 · Seifeldin M.G. Alkhedir · ORCID 0000-0003-0821-2991