WASR 8000 · Week 9
WASR 8000 · Environmental Tracers in Hydrology · Fall 2026

Clocks That Fall With the Rain

An interactive primer on the tracers the sky makes and the rain delivers: chlorine-36 and tritium from the weapons tests, sulfur-35 from cosmic rays, and the recharge rates and water ages they can — and cannot — pin down. Two fallout pulses ten years apart that a desert soil now holds in the wrong order; a loess plateau where new water outruns old; a Sierra Nevada creek in which this winter's snow is a small minority; and a review that insists every tracer-derived recharge rate is an average over a residence-time distribution, not a date. Builds on Weeks 3, 5 and 7; no tracer background needed.

Week 9 companion · read alongside the four readings ≈ 50–60 minutes 18 interactive demos · self-check quiz
1 · The opening question

Ten years earlier, yet closer to the surface

Between 1982 and 1985 Fred Phillips and his colleagues sampled three desert soils in New Mexico and measured, at two of them, both of the radioactive tracers that the weapons tests had dropped onto the ground: chlorine-36, whose fallout peaked around 1955, and tritium, whose fallout peaked in 1963–64. Chloride is an anion, and in laboratory soil columns anion exclusion pushes it into the faster-moving water so that it travels ahead of the water itself. So the ³⁶Cl — with a ten-year head start and, if anything, a chemical advantage — should have been the deeper of the two. It was not. At both sites where both tracers were measured, the tritium peak sat 1–3 m down while much of the bomb ³⁶Cl was still near the surface. Which explanation would you defend?

This is the week's whole argument in miniature. A tracer is a physical object that must actually travel through the soil, and the rules it travels by — solute, gas, or part of the water molecule — decide what its clock is reading. Section 4 draws the two fallout pulses, Section 5 the profiles, and Section 6 the explanation the authors settled on, with its own uncertainties named.

2 · Made in the sky

Cosmic rays as an isotope factory, bombs as a calendar

The cosmogenic tracers of this week's readings were made in the atmosphere. Cosmic rays smash into nitrogen and argon nuclei and leave fragments behind: tritium and radiocarbon from nitrogen; sulfur-35, chlorine-36, argon-39 and silicon-32 from argon; krypton-81 from krypton. Each is rained or dusted out onto the land surface, and its arrival rate through time — its input function — is what makes it a clock. Cosmogenic production is roughly steady, so a cosmogenic isotope keeps time by decay. The weapons tests added something different: sharp pulses. Neutron activation of chloride in seawater during the Pacific atoll tests made a ³⁶Cl spike that peaked around 1955; the later tests, fired in the stratosphere at high northern latitudes after the first test moratorium lapsed, made the tritium and ¹⁴C spikes that peaked in 1963–64. A pulse is not a decay clock but a dated marker: find it in a soil or an aquifer and you know where a particular year's water has got to. Click a card.

The residence-time ruler

Approximate residence-time ranges over which each tracer has been used to estimate recharge, redrawn from Cartwright et al.'s Fig. 1. Hover a bar. Bomb-pulse markers, anthropogenic gases and the seasonal tracers all live at the young end; the cosmogenic decay clocks are spaced out along six orders of magnitude, with a thinly populated gap between ³H and ¹⁴C that ³⁹Ar — and, in principle, ³²Si — is asked to fill.

Two questions, two kinds of clock. How long has this water been out of contact with the atmosphere? — a decay clock (³⁵S, ³H, ³⁹Ar, ¹⁴C, ³⁶Cl, ⁸¹Kr), read against a known input. Where is the water that fell in a known year? — a marker (the 1955 ³⁶Cl pulse, the 1963 ³H and ¹⁴C pulses), read as a position and therefore a velocity. Phillips et al. and Tao & Evaristo use markers; Urióstegui et al. use a decay clock; Cartwright et al. use both and warn that neither gives a date.
3 · Decay

The half-life sets the window

A radioactive tracer is useful while enough of it is left to measure and little enough has decayed that the remaining fraction still changes with time. Five half-lives leave about 3 % — a workable rule of thumb for the far end of the window, subject to how well the laboratory can count. For ³⁵S that is 1.2 years; for tritium about 60; for ³⁶Cl a million and a half. Drag the elapsed time and watch what survives of each. The axis is logarithmic because the half-lives span six orders of magnitude; the curves are the same function, e−λt, with λ = ln 2 / t½.

Fraction remaining, N/N₀

31.6 yr

What the laboratory can see sets the near end too. The best tritium laboratories now reach 2 % precision and a detection limit of 0.02 TU; accelerator mass spectrometry gives ¹⁴C to 1 % or better, but dissolved inorganic carbon below 2–3 pMC is difficult to analyse reliably because of atmospheric CO₂ picked up during sampling and analysis; the ³⁵S method's minimal detectable activity was 0.3–2.8 mBq L⁻¹, with one-sigma counting errors usually under 0.3 mBq L⁻¹ — on samples whose snow end-member at Sagehen was only 5–12 mBq L⁻¹ to begin with. Analytical error, Cartwright et al. argue, may no longer be the limiting factor; the input function and the flow system are.
4 · Two bombs, ten years apart

Two pulses, two chemistries, one calendar

The thermonuclear tests of the 1950s fired on Pacific atolls, and their neutrons activated the ³⁵Cl in seawater into ³⁶Cl, which the atmosphere washed out within a few years: a global-mean fallout that Bentley et al. modelled with a peak around 1955, hundreds of times the natural fallout rate. The later, larger tests, after the first moratorium lapsed, fired in the stratosphere at high northern latitudes; they activated no seawater but made tritium and ¹⁴C, whose fallout peaked in 1963–64 — about 6,000 TU at the peak in Ottawa (3,278 TU as the 1963 annual mean in the GNIP record, the value the Week 5 primer used), 60 TU in Melbourne. The two pulses are ten years apart, and only one of them decays on a human timescale. Slide the sampling year to see what is left of each by the time a profile is cored.

1985

Bomb ³⁶Cl fallout, global mean (10³ atoms m⁻² s⁻¹)

Tritium in precipitation (TU; Ottawa on the left axis, Melbourne on the right)

The ³⁶Cl curve is redrawn at reading precision from Phillips et al.'s Fig. 1 (the Bentley et al. 1982 box-model fallout, with the Dye 3 ice-core points of Elmore et al. 1982 as circles); the tritium and ¹⁴C curves are smoothed annual reconstructions anchored to the published records summarised in Cartwright et al.'s Fig. 4 and the Ottawa values used in the Week 5 primer. They are teaching curves, not station data. The 'natural fallout' line is implied by the paper's own inputs rather than stated: 0.375 mg L⁻¹ of input chloride × 20 cm yr⁻¹ of rain × a natural ratio of 700 × 10⁻¹⁵ is about 28 atoms m⁻² s⁻¹, or 0.03 on the chart's scale, so the 1955 peak was some three hundred times natural. Phillips et al. add a caution that applies to all three: actual fallout "was highly variable, both seasonally and as a function of location", so a local input history is always better than a global one.

Why the order matters. The ³⁶Cl pulse entered the New Mexico soils about 1955 and the tritium about 1963–64; by the time of coring (1982–85) the ³⁶Cl had been travelling for ~30 years and the ³H for ~20. Both peak-method recharge estimates in Section 7 divide the water stored above a peak by exactly those numbers. And because ³⁶Cl scarcely decays, its pulse will still be legible in soils and aquifers long after the bomb tritium has faded to background — which, in the Southern Hemisphere, it already has.
5 · Desert soils

Three New Mexico profiles

Two sites on the Sevilleta National Wildlife Refuge north of Socorro (20 cm of rain a year against 178 cm of lake evaporation) and one on the New Mexico State University Ranch 200 km to the south (23 cm against 239 cm of pan evaporation). SNWR 1 is a uniform fine sand on an old floodplain of the Rio Salado, with the water table at about 5 m; SNWR 2 a sandy loam on a Pleistocene terrace with a carbonate horizon at 1–2 m; NMSUR a sandy loam to sandy clay loam with 12–24 % clay. Chloride was leached from several kilograms of soil, precipitated as AgCl, and counted by accelerator mass spectrometry; samples for tritium were sealed in the field and their water extracted by nitrogen-gas evaporation–condensation or azeotropic distillation. Pick a site and read the four profiles together.

Sevilleta 1 (SNWR 1) — cored November 1984

Left to right: chloride in the soil, the ³⁶Cl/Cl ratio (the dashed line is the natural meteoric ratio of 700 × 10⁻¹⁵), bomb ³⁶Cl per kilogram of soil (natural ³⁶Cl subtracted), and tritium. Bars span the sampled intervals of Table 1; tritium intervals sometimes differ from the chloride intervals and are drawn where they were sampled. The grey scale on the far left is the chloride-mass-balance accumulation time computed from eq. 1 with the paper's input concentrations (0.375 mg L⁻¹ at Sevilleta, 0.350 at NMSUR) and precipitation (20 and 23 cm yr⁻¹); the shaded band marks 20–30 years, the time since the bomb ³⁶Cl fell.

Table 1, as transcribed for this page
Three things to notice before any model. The ³⁶Cl/Cl peak is shallower than the tritium peak at both sites where both were measured, and its penetration is similar at SNWR 2. The ³⁶Cl profiles at SNWR 1 and NMSUR are "spiky" — two near-surface peaks rather than one — which the authors read as intervals of wetter recharge carrying more bomb ³⁶Cl down along briefly continuous paths (a similar profile had been seen at an arid site in Nevada). And the deep SNWR 1 samples carry tritium (24–31 TU below 3.5 m) and a ³⁶Cl/Cl ratio below the natural value — not bomb water from above but groundwater underflow recharged from the Rio Salado, whose sedimentary chloride has a low ratio; a groundwater sample 120 m away had 30.2 ± 0.9 TU. The bottom of a profile can be the top of an aquifer.
6 · Vapor gaps

Why the anion lost the race

Three explanations were on the table. Adsorption fails on chemistry: anions generally sorb only at pH below about 5, and these soils, like virtually all soils of this desert region, are basic — the anion-exclusion regime, where chloride should run ahead. Salt sieving — water films thinner than the anion-exclusion layer — is documented in compressed clays but uncertain in unsaturated soils, and a laboratory experiment in which chloride was redistributed through the Sevilleta sand at 2–11 % volumetric water content under constant vapour pressure showed no chloride retardation at all; if anything chloride led the water. That left vapour. Tritiated water can cross an air-filled pore as vapour; a chloride ion cannot. In a soil this dry, some liquid flow paths dead-end at such vapor gaps: the water continues, the solute is stranded, and only diffusion back against the flow can free it. A steady input like stable chloride reaches equilibrium with the traps; a transient pulse like bomb ³⁶Cl is retarded. Switch between the laboratory and the field, then fit the authors' one-parameter model to the SNWR 1 data.

Wet column: anion exclusion

The vapor-gap model against SNWR 1 (Fig. 5)

Eq. 5: R(z) = R₀ exp(−ln 2 · z / z̄), where z̄ is the mean spacing of gaps that break the liquid paths and R₀ the bomb-input ratio at the surface. The bars are the measured ³⁶Cl/Cl; the dashed line is the natural ratio.

0.60 m
20,000
The authors' own hedge deserves quoting: the vapor-gap hypothesis "is speculative and requires further verification, but by process of elimination appears to be the most satisfactory explanation". Their Appendix A shows why the simple version cannot be the whole story — the measured temperature and suction gradients drive a vapour flux of about 0.31 cm yr⁻¹ against the 0.84 cm yr⁻¹ the tritium peak implies, and the calculated vapour flux falls short "by a factor of approximately three" of what the extra displacement of the tritium peak would need — so most of the water still moves as liquid, and the gaps only have to be frequent enough to strand the anion. The physical meaning of z̄ = 0.60 m is "uncertain": real vapour-transfer points are probably much closer together, but interconnected liquid paths bypass many of them. A model that fits is not yet a mechanism that is demonstrated.
7 · Recharge rates

Five ways to a number, and why they disagree

The profiles, and the soil-physics record at Sevilleta 1, yield recharge rates by five methods — not every method at every site. Darcy's law from years of moisture and tension data (a geometric-mean conductivity gives 3.7 cm yr⁻¹, a harmonic mean 0.70). The tritium-peak method: the water stored above the bomb tritium peak divided by the 20 years since the peak fell. A tritium mass balance (Allison's method): the soil tritium inventory against a decay-corrected input, times effective precipitation. The ³⁶Cl-peak method: the same arithmetic with the ³⁶Cl peak and 30 years. And the chloride mass balance from the stable-chloride profile. The chloride-based numbers come out two to six times lower than the tritium-based ones — which is exactly what Section 6 predicts if chloride lags the water. Click a method; then try the peak arithmetic yourself.

Table 2: recharge specific flux by method (cm yr⁻¹)

The peak method, step by step

A dated marker at depth d, Δt years after it fell, gives a mean pore-water velocity v = d/Δt and — with the mean volumetric water content θ̄ of the column above it — a water flux R = θ̄·v. Phillips et al. divided the cumulative water above the peak by 20 or 30 years, which is the same thing done interval by interval; Tao et al. report the velocity alone (their eq. 1), with n = 57 years for cores averaged over 2017 and 2020. The presets set d and Δt from the papers and choose θ̄ so that the result reproduces the reported figure (Table 1's own water contents give somewhat higher values — a point taken up in the Phillips guide); the sliders are yours.

1.90 m
0.088
20 yr

The marker on its way down

Which number is right? Phillips et al. prefer the tritium peak — the tracer that is part of the water — and note that the harmonic-mean Darcy estimate agrees with it, "although … the Darcy's Law result probably has a large uncertainty". The ³⁶Cl-peak and chloride-mass-balance values are lower because chloride is retarded, and if the deepest penetration of bomb ³⁶Cl is used instead of its peak (3.1 m at SNWR 1, 1.75 m at NMSUR) the ³⁶Cl-peak numbers climb back to 0.8–0.9 cm yr⁻¹ (the chloride mass balance stays where it is). Peak position is insensitive to dispersion at large Péclet numbers, so the 5–8 cm dispersivities do not move these estimates much. What does move them is choosing the tracer whose transport you actually understand.
8 · Loess and trees

Two velocities in one soil

On the Changwu Tableland of China's Loess Plateau (585 mm of rain a year, 897 mm of potential evapotranspiration, a water table below 30 m), Tao, Evaristo and colleagues cored to 13.6–27 m under four apple orchards planted in 2008, 2005, 1998 and 1994, and under the cropland the orchards replaced. Between July 2016 and October 2020 — wet years — new water recharged the upper 5.4–7.6 m under every orchard, some 300 mm of storage in three orchards and 483 mm in the oldest; below that, the deep soil lost water — 109 to 392 mm — where the roots reach. And the 1963 tritium peak? After 57 years it sits at 7.25 m under cropland and only 5.7–7.15 m under the orchards. New water moved more than five metres in four years; the tritium-tagged water moved six or seven in fifty-seven. Same soil, two speeds. Choose a profile.

Tritium with depth — cropland

Bell-shaped fits of the kind the authors used (a modified Gaussian by nonlinear least squares), redrawn at reading precision from Fig. 4; the peak depths and their standard errors are the quantities to trust. Blue: 2017 cores; orange: October 2020.

Tritium peak depth by land use (mean of 2017 and 2020)

How old is the water the trees are drinking?

If the profile moves as a piston, the water at depth z fell as rain z/υ years ago, and the depleted zone's depth range maps directly onto an age range. The authors weight each depth's age by its water loss (their eq. 3) and use υ = 0.13 m yr⁻¹ for all orchards; the readout here uses the simpler midpoint age of the zone, so it differs a little from the reported values, which are shown for comparison. Slide the velocity down toward the orchard values and watch the ages climb.

0.130 m yr⁻¹
7.0 m
12.0 m

Piston-flow age with depth

The authors' reading: the tritium rides in the smaller pores, whose water drains only under more tension than gravity supplies; the new rain runs through the larger pores and past it. That is the ecohydrological-separation idea of Week 2 — "two water worlds" — met here in a 25-metre column of loess, and it carries two consequences. Tritium, "considered an ideal tracer" of soil water age here, "is more likely to represent water moving in small pores" — from which this page infers, though the paper does not say so in these words, that its velocity is a lower bound on how fast infiltration can go. And the deep water the orchards are mining — 76 years old under the youngest, over 200 under the oldest — will not be replaced on any orchard's timescale; recovery "might take centuries".
9 · Sulfur-35

A clock that runs out in a year

Sulfur-35 is made by cosmic-ray spallation of argon above the troposphere, oxidises to sulfate, and comes down in rain and snow as ³⁵SO₄²⁻ — at 5–12 mBq L⁻¹ in the Sagehen snowpack, which works out to roughly one ³⁵S atom per 10¹³–10¹⁴ sulfur atoms in snow holding a few tenths of a milligram of sulfate per litre. Its half-life of 87.5 days is what makes it interesting: after five half-lives, 1.2 years, 3 % is left. So a groundwater or stream sample containing measurable ³⁵S must contain water that fell within the last year or so, and the ratio of the sample's activity to the snow's, corrected for the decay of the snow since melt began, is the percent new snowmelt. Urióstegui et al. define new snowmelt as the current water year's, take the pulse to start on the day after peak snow water equivalent (t₀), and write PNS = AGW,SW/ASNOW(t) × 100 (their eq. 2). Three things move the answer: the snow end-member, its decay by the sampling date, and the counting error on an activity that is often a few tenths of a millibecquerel. Set them.

8.3 mBq/L
18 d
1.00 mBq/L
±0.22

The snow end-member decays while you sample

Fixed axes: 0–20 mBq L⁻¹ against 0–450 days after the onset of melt. The curve is ASNOW(t₀) e−λt; the dot is your sample, with its ±1σ counting error as a bar; the grey band is the typical minimal detectable activity.

Read PNS as a floor, not a fraction. The method assumes sulfate travels conservatively, and the authors say plainly that their values "represent a minimum contribution of new snowmelt": sorption on iron- and aluminium-oxyhydroxide soils (present in both basins, though the groundwater's neutral pH argues for limited sorption) or biogeochemical cycling in the subsurface would lower the ³⁵S per unit sulfate and push the calculated PNS down. Their sulfate mass balance for Sagehen found more sulfate leaving the basin (5.8 × 10² kg yr⁻¹) than arriving (2.6 × 10² kg yr⁻¹ bulk deposition) — a sign of stored sulfate from decades of higher deposition, or of mineralised organic matter, and in either case of a sulfur pool older than the ³⁵S can see.
10 · Sagehen

How much of the creek is this winter's snow?

Sagehen Creek drains 27 km² of Tertiary volcanics on the eastern slope of the Sierra Nevada, 1,940–2,600 m, about 80 cm of precipitation a year of which 80 % is snow. Sampled every other month from February 2010 to August 2011, the creek never carried more than 14 % new snowmelt — 14.0 ± 3.4 % soon after melt began in April 2010, 4.8 % in May as discharge kept rising, 8.4 % at August baseflow, 0.2 ± 6.6 % in August 2011 — even though water year 2011 brought 82 % more precipitation and nearly twice the peak snow water equivalent (0.47 → 0.89 m) of 2010. A perennial spring held 0.8–6.2 %. Over the April–July melt season, which carries 79–84 % of the year's flow, new snowmelt was 8.0 ± 0.3 % of discharge in 2010 and 9.9 ± 0.5 % in 2011. The rest was groundwater recharged in earlier winters: the creek is a spring in a river's clothing.

Sagehen Creek, water years 2010–2011

Points: percent new snowmelt in the creek (filled) and in Spring #11 (open), with propagated one-sigma errors, from Table 3; the hydrograph is a stylised redrawing of the USGS record in Fig. 5 (peaks near 1.5 m³ s⁻¹ around the turn of May and June 2010 and 3.23 m³ s⁻¹ on 15 June 2011). Hover the points.

From a percentage to a recharge budget

Hydrograph separation turns PNS into a volume: the new-snowmelt discharge during April–July, SAMJJ. The authors then write groundwater recharge as R = Tp − SAMJJ − ET (Table 5, footnote b), with Tp the year's precipitation over the basin and ET an annual rate from two published models (1.8 mm d⁻¹, or 1.4 in the dry year), and convert R to a change in head with a specific yield of 0.08–0.15. The presets reproduce Table 5; the sliders show how much of the answer is the evapotranspiration you assume.

0.67 m
5.4 × 10⁶ m³
8.0 %
1.4 mm d⁻¹
0.15

Where the year's water went

Fixed axis: 0–40 × 10⁶ m³. Precipitation on the basin (27 km²), split into evapotranspiration, new snowmelt discharged in April–July, and the remainder the authors call recharge — which also absorbs runoff outside April–July, so it is a maximum.

A tracer that cannot see past a year has just said something about decades. If only a tenth of the melt-season flow is new water, most of the year's melt is not leaving as such: it recharges the aquifer or is stored in the soil and lost to evapotranspiration — recharge at most about 41 % of a 1.22-metre year in 2011, a head rise of several metres at plausible specific yields — and "the significant annual recharge from snowmelt in the smaller SCB was not expected." The authors' forecast for a warming Sierra is two-phased: fast responses of streams and springs to each year's precipitation, then slow declines over decades as recharge falls with the snowpack. Write down what observation would falsify that, and how long it would take.
11 · Martis Valley

Wells that remember the spring, then forget it

Martis Valley Groundwater Basin is five times larger than Sagehen (148 km²), with wells screened from 15 to 415 m below ground. In December 2011–January 2012 and again in June 2012, every well sampled carried measurable ³⁵S — 8 to 28 % new snowmelt, across the whole range of screen depths. By September 2012 only the shallowest well (I, 15–61 m, next to Donner Creek) and one other (N) still had detectable activity; seven were at or below background. New snowmelt had reached the aquifer within months and then, the authors suggest, been pumped from an age-stratified aquifer, discharged through shallow flowpaths, or mixed away within a season — the same season in which ³H/³He ages at the same wells drifted older. Click a bar for the well.

Fig. 7b redrawn: percent new snowmelt in 12 wells and a cistern (J), 2012

Fixed axes. Open-topped bars in September are upper limits set by the minimal detectable activity (0.5–0.6 mBq L⁻¹ that month). Errors are propagated one-sigma counting errors, from Table 7.

The pattern is a residence-time distribution seen through a one-year window. Most of the pumped water — more than 60 % even in June — was recharged in earlier winters; a minority is this year's, and by late summer that minority has been drawn down. The streams say the same thing the other way round: PNS in Martis Creek and Middle Martis Creek was under 6 % at May high flow and rose as flow receded — to 15 % in late June and 28 % in July at the two best-sampled sites — which the authors read, with radon evidence, as less groundwater entering the stream at those sites in summer. Whether "young" here means months or a year is exactly the question ³⁵S can answer and tritium cannot.
12 · Residence time

A recharge rate is an average over a residence-time distribution

Cartwright et al.'s review makes one argument from many tracers: because groundwater sampled from a well is a mixture of water that followed flow paths of different lengths, a tracer concentration reflects a distribution of residence times, and any recharge rate derived from it is averaged over that distribution — years to decades for ³H, CFCs, SF₆ and ⁸⁵Kr; millennia for ¹⁴C; hundreds of thousands of years for ³⁶Cl and ⁸¹Kr. Their eq. 1 is Week 5's convolution integral; their eqs. 2–4 turn a mean residence time into a rate (R = φ vz for near-vertical flow; R = φ H ln[H/(H − z)]/τz for the exponential model); and their eq. 5 is a simpler bookkeeping applied in Niger, the Murray Basin, Korea and France — the renewal rate, the fraction of the upper aquifer's water replaced each year: Cg(t) = (1 − RN) Cg(t − 1) e−λ + RN Ci(t), with R = RN φ Hb. Run it against the bomb pulses.

Cg(t) = ∫0 Ci(t − τ) g(τ) e−λτ(1)
Cg(t) = (1 − RN) Cg(t − 1) e−λ + RN Ci(t) (5b)
0.10 yr⁻¹
2026

Tritium: rain in, groundwater out

Log axis, 1–10,000 TU. Thin line: the input; thick line: the modelled upper-aquifer tritium for the chosen renewal rate; the marker is the sampling year.

¹⁴C against ³H in the sampling year (Fig. 5 redrawn)

The curve is the no-mixing locus traced by renewal rates from 0.002 to 1 yr⁻¹; the dot is your RN. The dashed line is a mixing line from a young end-member to old, tritium-free water at 10 pMC; samples inside the wedge have more tritium than their ¹⁴C allows without mixing.

0.25
20 m

The ¹⁴C input is the atmospheric curve of Section 4 (pre-bomb value near 98 pMC); Cartwright et al. point out that the input that matters is soil CO₂, which rose only from about 95 to 115–130 pMC in the early 1990s and was 110–115 by the mid–late 2000s — later and flatter than the air — so the ¹⁴C axis here overstates the bomb excursion. Their Fig. 5 is drawn for Southern Hemisphere waters on a linear 0–4.5 TU axis; the log axis here lets the Ottawa input fit on the same panel. The point survives: with no mixing, tritium falls to near background before there has been substantial decay of ¹⁴C, and a sample with more tritium than its ¹⁴C allows is a mixture.

Eqs. 2 and 4: from a residence time to a rate

For a sample z metres below the water table with mean residence time τz. The piston version assumes vertical flow; the exponential version (Cook & Böhlke's, for a homogeneous unconfined aquifer of thickness H under uniform recharge) accounts for the flow lines converging toward the base. A well screened over the lower part of that aquifer sees Week 5's partial-exponential distribution — Cartwright et al.'s Fig. 3 and text give its 5th–95th percentiles as 6–18 years for a 10-year mean, and about 3,000–9,000 years for a 5,000-year mean.

0.30
50 m
10 m
30 yr

Residence time with depth under the two models

Fixed axes: 0–200 m depth, 0–500 yr. Both curves pass through your (z, τz) by construction; they diverge in what they imply about the rest of the aquifer.

13 · Mixing

The mixing bias: why the calculated age is too young

Because radioisotope activity falls off exponentially with age, a mixture of young and old water does not have the activity of its mean age: it has more, because the young fraction contributes disproportionately. Read that activity as a single age and you underestimate the true mean residence time — Cartwright et al.'s Fig. 6, and the same trap Weeks 3 and 5 set for ¹⁴C and the ³H/³He clock. Mixing happens in the aquifer (heterogeneous hydraulic conductivity, macroscopic dispersion, exchange with aquitards), at the well (long screens that draw several flow paths), and under pumping that redirects flow paths. Choose a tracer and mix two waters.

0.50
10 %
60 %

Activity against age (Fig. 6 redrawn, computed)

Fixed axes in absolute years for the chosen tracer. Squares: the two end-members; grey dot on the curve: the calculated age from the mixture's activity; grey dot on the chord: the actual mean age.

The bias is largest when the two waters are far apart in age and the tracer has decayed substantially in the older one — which is the normal condition where a young pulse of recharge meets an old regional flow. Cartwright et al. cite estimates (Cartwright & Morgenstern 2016; Stewart et al. 2017) that the relative uncertainty of tritium-derived mean residence times, in waters of years to decades, may be as high as 20 %, and note that dispersion "increases with increased distance from the recharge area" — so the long-lived tracers, sampled kilometres down-gradient, are the most exposed. Their design advice follows directly: nested wells with screens a few centimetres long in the upper metres of the aquifer, near the start of the flow paths, several tracers on every sample, and local measurements of the input.
14 · Matching

Which clock for which question

The week's third learning goal: match the tracer to the timescale the question actually asks about. Start with the question, never the isotope. Pick one.

15 · When the fallout lies

A diagnosis board

Each row is a symptom you might meet in a cosmogenic or bomb-pulse data set, the cause the readings offer, and the test or fix. Click a row for the detail.

16 · Reading the four sources

Four readings, three blocks, one habit of mind

Cartwright et al. supply the map of the whole toolkit and its limits; Phillips et al. and Tao et al. are the paired Block 2 readings — the same bomb-pulse method, thirty-five years and two continents apart, and both find a soil moving at two speeds; Urióstegui et al. take the shortest clock in the box to a mountain basin. The guides below are maps, not substitutes: what each asks, where its load-bearing figures live, which equations to recognise, which numbers to be able to quote, and where a careful reader might press. The notes and the critique are yours to write.

Block 1 · Core reading

Cartwright, I., Cendón, D., Currell, M., & Meredith, K. (2017). A review of radioactive isotopes and other residence time tracers in understanding groundwater recharge: possibilities, challenges, and limitations. Journal of Hydrology, 555, 797–811.

Fifteen pages: why recharge is hard to measure; residence-time tracers as the route to it; the radioactive isotopes (³H, ¹⁴C, ³⁶Cl, the noble-gas radioisotopes), the anthropogenic gases, major ions and stable isotopes; multi-tracer studies; and a discussion of what limits precision and how an ideal recharge experiment would be designed. doi:10.1016/j.jhydrol.2017.10.053

Block 2a · Supplementary reading (paired)

Phillips, F. M., Mattick, J. L., Duval, T. A., Elmore, D., & Kubik, P. W. (1988). Chlorine 36 and tritium from nuclear weapons fallout as tracers for long-term liquid and vapor movement in desert soils. Water Resources Research, 24(11), 1877–1891.

The field experiment that the laboratory could not run: two bomb pulses, three desert soils, the anion arriving behind the water, and the vapor-gap hypothesis offered — with its uncertainties named — to explain it; five recharge methods compared; field dispersivities of 5–8 cm, much larger than laboratory values. doi:10.1029/WR024i011p01877

Block 2b · Supplementary reading (paired)

Tao, Z., Evaristo, J., Wang, X., Chen, G., Si, B., & Siddique, K. H. M. (2023). Tritium and trees: a bomb peak perspective on soil water dynamics in semi-arid apple orchards. Catena, 232, 107474.

Four orchards and a cropland on the Loess Plateau cored to 13.6–27 m in 2016/2017 and 2020: shallow recharge and deep depletion by stand age; the 1963 tritium peak at 5.7–7.25 m after 57 years; pore-water velocities of 0.10–0.13 m yr⁻¹; and transpired deep soil water 76 to more than 200 years old. Open access (CC BY). doi:10.1016/j.catena.2023.107474

Block 3 · Supplementary reading

Urióstegui, S. H., Bibby, R. K., Esser, B. K., & Clark, J. F. (2017). Quantifying annual groundwater recharge and storage in the central Sierra Nevada using naturally occurring ³⁵S. Hydrological Processes, 31, 1382–1397.

Sulfur-35 in snowpack, creek, springs and wells of two Sierra Nevada basins: the percent-new-snowmelt method, its end-member and decay corrections, a hydrograph separation that turns it into a recharge budget, and a basin in which only a tenth of the melt-season flow is the season's own melt. doi:10.1002/hyp.11112

Cross-paper synthesis, in one line: a tracer that falls with the rain tells you how far a particular rain has got — Phillips et al. and Tao et al. find it has got much less far than the water around it — or how much of a particular rain is still in the water you sampled — Urióstegui et al. find surprisingly little; and Cartwright et al. remind you that whichever you measured, the number is an average over every path the water could have taken. The question that carries forward: for the water your proposal cares about, which rain would you want to find, and what would it mean if the tracer and the water had parted company on the way?
17 · Practice

Four situations to reason through

Each scenario gives the kind of evidence a Week 9 reader should now be able to interrogate. Choose the reading you would defend first, then compare with the debrief.

Habit to keep: before quoting a recharge rate from a tracer, say aloud which pulse or decay clock it came from, what input function was assumed, whether the tracer is part of the water or a solute riding in it, and over how many years the number is averaged. A rate that cannot survive those four questions is a depth divided by a guess.
18 · Self-check

Ten questions before the meeting

Immediate feedback, no grade, no record. If you miss one, the linked section is the fix.

19 · Vocabulary

Glossary

The Week 9 working vocabulary, with a few terms you will meet again in Weeks 10 and 11. Search or browse.

20 · Where to go next

The Week 9 readings — and what follows

Papers are not posted for this course: retrieving them from the citation and DOI — via the UGA Libraries, GALILEO, or the publisher — is part of the training. The Catena paper is open access under a CC BY licence; the reading list notes a green open-access copy of the review; check the two Wiley articles through the library.

CORE

Cartwright, I., Cendón, D., Currell, M., & Meredith, K. (2017). A review of radioactive isotopes and other residence time tracers in understanding groundwater recharge: possibilities, challenges, and limitations. Journal of Hydrology, 555, 797–811.

The tracer ruler (Fig. 1); flow paths and residence-time distributions (Figs. 2–3, Table 1, eqs. 1–6); the radioisotopes and their sampling demands (Table 2, Fig. 4, eq. 7); CFCs, SF₆, major ions and stable isotopes (eq. 8); multi-tracer tests for mixing (Fig. 5); limitations and the mixing bias (Fig. 6); designing the ideal experiment (§5.2). Table S1 (case studies) is online only. doi:10.1016/j.jhydrol.2017.10.053

ARTICLE

Phillips, F. M., Mattick, J. L., Duval, T. A., Elmore, D., & Kubik, P. W. (1988). Chlorine 36 and tritium from nuclear weapons fallout as tracers for long-term liquid and vapor movement in desert soils. Water Resources Research, 24(11), 1877–1891.

The two fallout histories (Fig. 1) and the latitude curve (Fig. 2); the profiles (Table 1, Fig. 3); the moisture-redistribution experiment (Fig. 4); the vapor-gap model (eqs. 2–5, Fig. 5); five recharge methods (eq. 1, eq. 6, Fig. 6, Table 2); diffusion and dispersion (Figs. 7–8, Appendices A–C). doi:10.1029/WR024i011p01877

ARTICLE

Tao, Z., Evaristo, J., Wang, X., Chen, G., Si, B., & Siddique, K. H. M. (2023). Tritium and trees: a bomb peak perspective on soil water dynamics in semi-arid apple orchards. Catena, 232, 107474.

Site and orchards (Figs. 1–2, Table 1); methods and equations (eqs. 1–4); recharge and depletion (Fig. 3); tritium peaks and velocities (Fig. 4); the discussion of two-speed flow and of what the depleted water's age implies (§4.2–4.3); limitations (§4.4). doi:10.1016/j.catena.2023.107474

ARTICLE

Urióstegui, S. H., Bibby, R. K., Esser, B. K., & Clark, J. F. (2017). Quantifying annual groundwater recharge and storage in the central Sierra Nevada using naturally occurring ³⁵S. Hydrological Processes, 31, 1382–1397.

The basins (Figs. 1–3); sampling and the batch method (§3); the PNS definition and snow end-member (eqs. 1–4, Table 1); snowpack (Table 2, Fig. 4); Sagehen (Tables 3–5, Figs. 5–6); Martis Valley (Tables 6–7, Figs. 7–8); the sulfate mass balance (Appendix, Figs. A1–A5). doi:10.1002/hyp.11112

FURTHER

Bentley, H. W., et al. (1986). Chlorine 36 dating of very old groundwater 1: the Great Artesian Basin, Australia. Water Resources Research, 22(13), 1991–2001.

The seminal field demonstration of ³⁶Cl dating at the 10⁵-year end of the ruler — the same basin whose ⁸¹Kr ages (220–400 kyr) Week 7 met in Kipfer et al. Not discussed in a block. doi:10.1029/WR022i013p01991

Next week — radiogenic helium and the emerging tracers

Week 10 turns from clocks that fall with the rain to a clock the rock winds: radiogenic ⁴He accumulating in the Great Artesian Basin (Torgersen & Clarke), whose whole-crust flux hypothesis Week 7 flagged as "far from being universally accepted". Then two frontiers: triple oxygen isotopes in the water cycle (Aron et al.), and Visser et al.'s combination of ³H, ²²Na, ³⁵S and ¹⁸O in the Southern Sierra Critical Zone — the sequel to this week's Sagehen story, with ²²Na (2.6 yr) filling the gap between ³⁵S and tritium.

Carry-forward question, for your proposal: if your question is about recharge, which of this week's four kinds of evidence would answer it — a marker's depth, a decay clock's fraction, a young-water percentage, or a residence-time distribution — and which assumption in its derivation would a hostile reviewer attack first?