WHY SET UP RIVER FLUXES AT GLOBAL SCALES ? QUESTIONS Global river weathering rates PRECURSORS Clarke 1924, Alekin 1950s, Livingstone 1963 Origins of Sedimentary rocks Garrels and Mackenzie, 1971 Biogeochemical cycles: carbon, Garrels, Mackenzie, Hunt, 1973 Nitrogen, Sulfur, silica Global denudation Fourier 1960, Janssen and Painter, 1974 Coastal geomorphology/Sedimentology Milliman 70’s Pollutants Inputs to oceans Goldberg 70’s Earth System and Global change IGPB 80’s CONTINENTAL AQUATIC SYSTEMS AT THE ANTHROPOCENE WATER CH 4 CO2 CH4 CO2 NO 2 1 ATMOSPHERE 2 6 ANTHROPOSPHERE 18 3, 5 4 WATER DUS T CH4 CO2 N 2O 22 7, 12 TERRESTRIAL VEGETATION, SOIL CO2 8 11 CH4 N2O 22 R I V WETLANDS 9 E ERO S ION R WEATHERING S 19 7 GROUNDWATERS 10 CH4 CO2 WATER ENERGY WATER COASTAL ZONE O P E N SEDIME NTS 21 CARBON NUTRIENT S O C E A N 20 RESERVOIRS 13 15 16 LAKES 14 SILTING CONTINENTAL SEDIMENTS 17 5 COASTAL SEDIMENT UPLIFT SURFICIAL LITHOSPHERE additional fluxes orreservoirsdue to human activitie s OCEAN SEDIMENT Combining lithology and relief typology Classification of 15 relief patterns at global scale combining a relief roughness indicator and mean altitude at 30’ resolution, re-aggregated into 7 relief super-classes Relief Typology (Meybeck et al., 2001) GLOBAL MAPPING OF RIVER FLUXES OCCURRENCE OF CONTINENTAL AREA EXPOSED TO WATER WEATHERING (RHEIC REALM) AND TO RIVER FLUXES TO THE OCEANS (EXORHEIC REALM) Total land 149 Mkm2 A % land area B % weath. flux C % flux to ocean 10.7 0.1 ? 0.1 ? 33.7 0 0 Endorheic 3.4 1 0 Exorheic 21 7 7 Endorheic 1.1 2 0 Exorheic 27.3 53 55 Exorheic 2.75 37 38 Glaciated 16 Mkm2 Endorheic Arheic 50,2 Mkm2 Non glaciated 133 Mkm2 Exorheic Oligorheic Rheic 82,8 Mkm2 Mesorheic Hyperheic • 10.7% of the present land is glaciated • 33.7% is arheic (less than 3 mm/y runoff) • 90% of weathering fluxes is related to 30% of the continents area Global figures Organisation of the continental surfaces by water into major units Total area 133 M km2 Exo(%) 25,7 Endo(%) Σ 9,0 34,8 Arheic 60,1 5,2 65,2 85,8 14,2 100% Rheic Σ River network River network : Vörösmarty et al. 2000 a & b, modified and adapted - The arheic areas are below 3 mm/yr annual runoff - Due to uncertainty on the water balance ‘arheic’ areas may occur in non-desertic regions, as NE Siberia, Mackenzie basin, Missouri basin, Patagonia etc. ... EXORHEIC ENDORHEIC 940 km3 y-1 37 200 km3 y-1 MOUNTAINS PLATEAUX PLAINS PLATEAUX HILLS HILLS PLAINS Area [M km2] 62.7 11.1 14.3 27.6 5.75 2.5 0.4 8.7 Runoff [mm y-1] 293 445 153 424 86 37.5 102 35 Population density [p km2] 46.5 67 26.5 46 35 11 36 16 (after Meybeck et al. 2000). Global average river runoff and population density for major relief classes HOLOCENE/ANTHROPOCENE EVOLUTION FLUVIAL NETWORK (POTENTIAL) AT THE LATE GLACIAL MAXIMUM (18 000 BP) H. Dürr,Sisyphe • Most of North America and of Europe was glaciated • Due to lower sea level (-120m) an extended area of continental platform was exposed to river transport (e.g. West Siberia and Bering sea, South China and Aragura seas, Patagonia) CHEMICAL FLUXES CONTROLS BASALT OUTCROPS FOR SIX CLASSES OF RIVER RUNOFF Runoff : UNH Litho : H. Dürr, Sisyphe • Basalts of various ages are found at various positions on all continents • They are exposed to temperature ranging from -10°C to +30°C • Hower the main weathering control is probably the river runoff ranging over 2 orders of magnitude, even at the regional scale (e.g. african rift valley and Deccan) PRISTINE RIVER CHEMISTRY VARIABILITY OF NATURAL RIVER CHEMISTRY AND LITHOLOGY Sum of cations (µeq/L) Dominant ions Example 50 Ca2+, Cl- Rio Negro * (Amazonia) quartz sands 70 Na+, HCO3- Rio Tefe * (Amazonia) quartz sands 500 Mg2+, Ca2+, HCO3- Basaltic basins 600 Mg2+, HCO3- Peridotite basins 4 000 Ca2+, HCO3- Carbonated basins 5 000 Mg2+, SO42- Coal schists 9 000 Na+, SO42- Semliki R. Rift Valley 20 000 Na+, SO42- Bituminous Shale (Montana) 50 000 Na+, Cl- Urubamba tributary (Amazonia) * Rain and vegetation control There is no mean river water that can be used as a global or even regional reference PRISTINE RIVER CHEMISTRY GLOBAL OCCURENCE (% of area) OF WATER TYPES AND THEIR ORIGINS (Pristine rivers model) Origin Type % Total Rock dominated Rain Evaporated dominated Silicate Carbonate Pyrite Evaporites Na2SO4 3,2 NaCl 6,8 Na2CO3 3,6 MgCO3 2,4 MgSO4 2,0 MgCl2 0,1 CaSO4 5,2 CaCO3 76,9 Total 100 2,6 35,4 45,1 5,2 3,6 8,2 • Ionic types in pristine rivers are more diverse than originally thought by Gibbs (1972) • CaCo3 is dominating in 77% of rivers (area weighted) • Rain and vegetation recycling is dominating over 2.6% of the continents area and the evaporation over 8.2% (rheic realm only, runoff > 3 mm) • Rock weathering control extends over 89% of the continents area • Evaporated waters may result in many chemical types PRISTINE RIVER CHEMISTRY PRISRI : GLOBAL DISTRIBUTION OF DIC MEDIUM-SIZED BASINS 3 500 - 200 000 km2, rheic basins (n = 480) % DIC CONCENTRATION % HCO3- / - DIC EXPORT RARE 99,5 99 UNCOMMON 90 COMMON 75 VERY COMMON 50 25 COMMON 10 UNCOMMON 1 0,5 0,1 RARE 1 10 DIC mg/L 10 50 100 In 50% of basins HCO3- exceed 80% of anions 0,5 1 10 DIC concentration ranges over 2 orders of magnitude 50 g C.m-2.y-1 100 DIC export ranges over 3 orders of magnitude Natural Space Variability of River Suspended Fluxes A. TSS Weighted means mg/L Very low Low Medium High Very high Extremely high 5 - 20 20 - 100 100 - 500 500 2 000 2 000 10 000 > 10 000 Sacramento Red Deer (Alb) Annapolis (NS) St. Lawrence (CA) Stikine (BC) Colorado Eel (CA) Matanuska (AL) Mississippi Rio Grande (TX) (AZ) Little Colorado (AZ) Control factors : relief, lakes, lithology, runoff. Ref : Meybeck, Laroche, Dürr, Syvitski, 2003. Glob.Planet.Change Natural Space Variability of River Suspended Fluxes B. Daily TSS Yields kg.km-2.d-1 Very low Low Medium High Very high Extremely high < 10 10 - 50 50 - 200 200 1 000 1 000 5 000 > 5 000 Chaudière Lacustrine Rhone (CH) St. Lawrence (PQ) Sacramento (CA) Colorado Mississippi (AZ) Eel (CA) Alpine Rhine (CH) Control factors : relief, lakes, runoff, river regime, lithology. Ref : Meybeck, Laroche, Dürr, Syvitski, 2003. Glob.Planet.Change Natural Space Variability of River Suspended Fluxes C. % of time needed to carry 50% of TSS flux Very long Long Medium Short Very short Extremely short > 16% 16 - 8% 8 - 3,4% 3,4 - 1,4% 1,4 - 0,4% < 0,4% Sacramento Red Deer (Alb) Eel (CA) WallaWalla (OR) Mississippi St. Lawrence Fraser (BC) (CA) Stikine (BC) Control factors : basin size, river regime. Ref : Meybeck, Laroche, Dürr, Syvitski, 2003. Glob.Planet.Change GLOBAL BUDGETS ARE REACHING THEIR LIMITS EXAMPLE : DISSOLVED SILICA Global average (mg/L) Approach Clarke, 1924 8,3 Few, big temperate rivers Livingstone, 1963 13,1 d.o. Meybeck, 1979 10,4 Biomes typology, 60 rivers, Amazon included Probst, 1992 8,9 Multiregression (Meybeck’s data) Meybeck and Ragu, 1996 7,7 250 rivers no typology Meybeck, 1999 (unpubl.) 9,2 d.o. + 9 morphotectonic tpes (lytho. Control) Treguet et al., 1995 9,0 (Meybeck + Ragu data) Meybeck (unpubl.) 8,75 43 pristine rivers and tribs (exorheic + endorheic) GLOBAL MAPPING OF RIVER FLUXES GLOBAL SEDIMENT YIELD MAP Sediment yields reflect land erosion : they are maximum in South East Asia where heavy rainfall, active tectonics and erodible rocks are found Ludwig et al, 1998 PRISTINE RIVER CHEMISTRY GLOBAL DISTRIBUTION OF RIVERS RANKED PER INCREASING TOTAL DISSOLVED SOLIDS (∑+ cation sum) (pristine rivers model, n = 1 329 basins) 30 25 % AREA 20 • The most commonly found ionic content (∑+) at the continents surface is between 375 and 6000 µeq/L • The most commonly found ionic content (∑+) in one liter of water is between 375 and 1500 µeq/L • The ionic fluxes are essentially related to medium-mineralized waters, between 750 and 6000 µeq/L 15 10 5 0 1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 7 8 9 30 25 % WATER FLUXES 20 15 10 5 0 30 25 % I ONIC FLUXES 20 15 10 5 0 + ( µeq/ L) GLOBAL SYNDROMES OF RIVERINE CHANGES GLOBAL SYNDROMES OF RIVERINE CHANGES • Flow regulation • River course fragmentation • River bed silting • Neoarheism • Salinization • Chemical contamination asphixiation, inorganic contamination, xenobiotics occurence • Acidification • Eutrophication • (Microbial contamination) • (Aquatic species introduction & invasion) SOME GLOBAL CHANGES AFFECTING RIVER FLUXES 2,54 Mkm2 of irrigated land (in dry and semi arid and arid regions) More than 5 % of global river runoff decrease (> 2000 km3/y) Hundred of thousands of small to giant reservoirs Total reservoir area >0,5 M km2 (Great Lakes + Caspian). NEOARHEISM RIVER FLUXES TRENDS AFTER DAMMING THE COLORADO EXAMPLE (1910-1960) A : annual water flow B : annual sediment flux • Colorado changes are some of the most dramatic change documented in a river system • This evolution was triggered by the construction of the Hoover Dam in 1936 TE17 GLOBAL MAPPING GLOBAL IMPACT OF LARGE RESERVOIRS : SEDIMENT TRAPPING EFFICIENCY • Coastal zone now gets 30% less sediment • 700% increase in water held in rivers • Tripling of river runoff travel times Sediment starving is a growing issue in some coastal zone UNH Vörösmarty et al. 2003 Global nitrogen fluxes through rivers : preindustrial vs contemporary • The global N fluxes (tot N) have increased more than 3 times • Regionally the fluxes have increased more than 10 times • Agriculture and urbanization are the two major N sources Green et al. 2003 UNH NUTRIENTS FLUXES HETEROGENEITY (From GEMS-GLORI analysis) AREA CLUSTERS The impacted temperate zone (N. America, Europe, China...) corresponds to 27,5 % of lobal area but to 52 % of P-PO43- fluxes and to 6 % of DIN fluxes to oceans The dry and non- impacted wet tropics plus subarctic regions corresponds to 50,7% of global area and only to 30% of P-PO43- and 21,3 % of DIN fluxes FLUXES RANKING The most polluted rivers that represent only 5 % of global water discharge would contribute to 32 % of NO348 % of NH4+ 54 % of PO43- fluxes Conclusions - Coastal basins morphology is highly variable from narrow strips (Peru-Chile) to very deep basins (Mississippi-Amazon) - Mean runoff in coastal basins range over 3 orders of magnitude as for other river fluxes (sediments, carbon, nutrients) - Population pressure within coastal basins varies over more than 2 orders of magnitude from 0.3 inhab/km2 for the Laptev Sea or the Gulf of Carpentaria to more than 300 inhab/km2 in South and East Asia - Our segmentation allows for determination of first order inputs to Oceans (e.g. North Atlantic) as well as second order inputs for about 30 regional seas - Direct inputs to open oceans are actually limited by extended mediterranean type seas (Mediterranean proper, Black Sea, Gulf of Mexico / Caribbean, …) and by other regional seas (Persian Gulf, Adaman)