Purtroppo, e non capisco perché, il codice per le tabelle non è quello giusto, forse bisogna chiedere a Egidio. GPT5 mi dice che probabilmente il tag per le tabelle non è supportato. Proviamo altri metodi.

OK, questo sembra che funzioni almeno parzialmente, ossia con il codice HTML le tabella escono chiaramente. Dato che si tratta di lavoro, Antrea se vuole effettuerà il lavoro certosino di copiare e incollare le tabelle in un suo documento word assieme al precedente testo. Buona fortuna.



Overview


Weighted, repeatable scoring method to rank soils for human inhumation. Convert measured values to 0–100 scores, apply weights, compute weighted sum and classify.






1. Default parameter weights




























Parameter Code Weight
Depth to groundwaterDW18
Hydraulic conductivityK15
Microbial attenuationMICRO10
Low-permeability layeringLAYER8
Soil texture / drainageTEX8
Depth to bedrock / fractures / karstROCK7
Slope / erosionSLOPE6
Organic carbonOC6
Cation exchange capacityCEC4
Frost shrink / swellSHRINK4
Land use / contamination historyHIST4
pHpH3
Redox potentialEh3
Total100





2. Principal normalization thresholds (0–100)



































































Parameter Condition Score or score range
Depth to groundwater (DW) Measured as metres below planned grave base ≥5.0 m → 100; 3.0–5.0 m → linear 60→100; 1.5–3.0 m → linear 20→60; <1.5 m → 0
Hydraulic conductivity (K) Saturated vertical K, m/s ≤1×10⁻⁸ → 100; 1×10⁻⁸–1×10⁻⁶ → linear 80→100; 1×10⁻⁶–1×10⁻⁴ → linear 30→80; ≥1×10⁻⁴ → 0
Low-permeability layering (LAYER) Continuous low-perm layer beneath burial zone Continuous ≥1.0 m → 100; discontinuous or 0.5–1.0 m → 60; absent → 0
Soil texture / drainage (TEX) Use texture + measured K Clay/silty-clay (low K) → 90–100; loams → 60–89; coarse sands/gravels → 0–40
Microbial attenuation (MICRO) Composite lab/tracer and environmental factors High attenuation → 100; moderate → 60; low/transport observed → 0
Depth to bedrock / ROCK Distance to competent bedrock and fracture/karst presence >10 m intact → 100; 3–10 m or minor fractures → 50; <3 m, fractured or karst → 0
Organic carbon (OC) Percent by weight 0.5–2.0% favourable (score ~50–90 linear); <0.5% → lower (30–50); >5% → reduced score (~20)
CEC meq/100 g ≥20 → 100; 10–20 → 60–99 linear; <10 → 20
pH Soil pH at burial depth 6.0–8.0 → 100; 5.0–6.0 or 8.0–9.0 → 60; <5 or >9 → 0
Redox potential (Eh) At burial depth Oxic (>+300 mV) → 100; Suboxic (0→+300 mV) → 60; Anoxic (<0 mV) → 0
Slope / erosion (SLOPE) Surface slope and erosion susceptibility <5% stable → 100; 5–15% moderate → 60; >15% or active erosion → 0





3. Example site-ranking table (fill measured values and computed scores)


Compute Total Score = Σ (weight × score) / 100. Classification: 85–100 Highly suitable; 70–84 Suitable; 50–69 Marginal; <50 Unsuitable.

































































Site DW K LAYER
(0–100)
TEX
(0–100)
OC CEC MICRO
(0–100)
ROCK
(0–100)
SLOPE
(0–100)
pH
(0–100)
Eh
(0–100)
HIST
(0–100)
Total Score Class
m(0–100) m/s(0–100) %(0–100) meq/100g(0–100)
Example A 6.2100 5.0E-9100 100 90 1.280 25100 90 100 100 100 100 100 96 Highly suitable
Example B 2.040 1.0E-535 0 30 0.340 830 50 50 60 60 60 46 Marginal





How to use


  1. Paste the HTML into the forum post source editor.

  2. Replace example numbers with measured values and normalized scores (0–100) per the normalization table.

  3. Compute Total Score = Σ(weight × score) / 100 and set Class accordingly.

Ultima modifica di mccoy; 20/09/2025 19:56.

"Data speak for themselves" -Reverend Thomas Bayes 1702-1761
P(Ai|E)=(P(E|Ai)P(Ai))/P(E)