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  • 1
    Publication Date: 2023-01-13
    Description: Spectrocolorimetric properties analysed with a portable diffuse reflectance spectrophotometer (Konica Minolta CM-700d) and geochemical contents obtained with an energy dispersive X-ray fluorescence spectrometer (ED-XRF Epsilon 4) were analysed in potential source material that may supply sediment to coastal rivers draining the main Fukushima radioactive pollution plume (Japan). Three potential source materials (n=57) were considered (cropland soils ready for cultivation after the completion of the local decontamination programme; forest soils and subsurface material originating from landslides and channel bank collapse). Recent sediment lag deposits (mud drapes deposited on channel-bed sand; n=24) were collected along the main rivers draining the Mano and Niida catchments (Fukushima Prefecture, Japan) on the 29th and 30th of October 2019 after the 2019 typhoon season including typhoon Hagibis. In addition to spectrolorimetric and geochemical properties, radiocesium (Cs-137) concentrations were analysed by gamma spectrometry using Germanium Hyperpure detectors in all source and sediment samples (n=81).
    Keywords: Aluminium; Area/locality; Caesium-137; Calcium; Class; Cobalt; Color, a; Color, a*; Color, b*; Color, C*; Color, Hue; Color, L; Color, L*, lightness; Color, normalized u; Color, normalized v; Color, u*; Color, v*; Color, X; Color, Y; Color, Z; Color BLUE; Copper; Date/Time of event; Energy dispersive X-ray fluorescence spectrometer (ED-XRF); Event label; FML_1444; FML_1446; FML_1446B; FML_1447; FML_1448; FML_1449; FML_1470; FML_1471; FML_1472; FML_1473; FMS_1423; FMS_1424; FMS_1425; FMS_1426; FMS_1427; FMS_1428; FMS_1429; FMS_1438; FMS_1439; FMS_1440; FMS_708A; FMS_710; FMS_711; FMS_714; FMS_718; FMS_724; FMS_832; FMS_833; FMS_834; FMS_837; FMS_840; FMS_841; FMS_842; FMS_844; FMS_845; FMS_849; FMS_850; FMS_851; FMS_852; FMS_853; FMS_855; FNL_1450; FNL_1451; FNL_1452; FNL_1453; FNL_1454; FNL_1455; FNL_1456; FNL_1458; FNL_1459; FNL_1460; FNL_1461; FNL_1465; FNL_1466; FNL_1467; FNL_1468; FNL_1469; FNS_1430; FNS_1431; FNS_1432; FNS_1433; FNS_1434; FNS_1435; FNS_1436; FNS_1437; FNS_727; FNS_732; FNS_733; FNS_734; FNS_735A; FNS_738; FNS_858; FNS_860; FNS_861; FNS_862; FNS_863; FNS_864; FNS_866; FNS_867; FNS_868; FNS_869; FNS_871; FNS_874; Gamma spectrometry; Iron; Latitude of event; Lead; Longitude of event; Magnesium; Manganese; Mano River, Fukushima Prefecture, Japan; Material; Nickel; Niida River, Fukushima Prefecture, Japan; nuclear accident; Potassium; river pollution; Rubidium; Sediment fingerprinting; sediment tracing; Silicon; Spectrocolorimetry; Strontium; Titanium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 2905 data points
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  • 2
    Publication Date: 2023-01-13
    Description: This dataset compiles all the radioactive dose rates measurements and the anthropogenic fallout radionuclides analysed in recent sediment deposits collected in the coastal catchments draining the main radioactive plume of Fukushima, Japan (2011-2020). Gamma-emitting fallout radionuclides activities (Cs-137, Cs-137, Ag-110m) were determined by gamma spectrometry using HPGe detectors (Canberra/Ortec), and activities were decay-corrected to the sampling date. Uncertainties reached ca. 5-10% on Cs-134 and Cs-137 activities, and ca. 15-20% on Ag-110m activities at the 95% confidence level. Radiation dose rates were systematically measured in the field (at 1-cm height from the soil) using a radiameter (LB123 D-H10, Berthold Technologies) in recent sediment drape deposits and in nearby soils along rivers (i.e. in a 10 to 20 m wide area along rivers). This data was collected in the framework of the TOFU (Agence Nationale de la Recherche; grant no. ANR-11-JAPN-001) and the AMORAD (Programme des Investissements d'Avenir; grant no. ANR-11-RSNR-0002) projects. The support of Centre Nationalde la Recherche Scientifique (CNRS, France) and Japan Society for the Promotion of Science (JSPS) is also gratefully acknowledged (grant no. PRC CNRS-JSPS 2019-2020, no. 10; CNRS International Research Project - IRP -MITATE).
    Keywords: Abukuma River, Fukushima, Japan; Caesium-134 activity per mass; Caesium-137, activity per mass; Campaign; Date; Date/Time of event; Dose rate, sediment; Dose rate, soil; Event label; FAL_010; FAL_025; FAL_071; FAL_072; FAL_073; FAL_074; FAL_075; FAL_076; FAL_077; FAL_078; FAL_079; FAL_080; FAL_081; FAL_082; FAL_083; FAL_084; FAL_085; FAL_086; FAL_088; FAL_089; FAL_090; FAL_091; FAL_092; FAL_093; FAL_094; FAL_095; FAL_096; FAL_097; FAL_098; FAL_099; FAL_101; FAL_102; FAL_103; FAL_104; FAL_105; FAL_106; FAL_107; FAL_162; FAL_163; FAL_164; FAL_166; FAL_690; FAL_691; FAL_692; FAL_693; FAL010; FAL025; FAL071; FAL072; FAL073; FAL074; FAL075; FAL076; FAL077; FAL078; FAL079; FAL080; FAL081; FAL082; FAL083; FAL084; FAL085; FAL086; FAL088; FAL089; FAL090; FAL091; FAL092; FAL093; FAL094; FAL095; FAL096; FAL097; FAL098; FAL099; FAL101; FAL102; FAL103; FAL104; FAL105; FAL106; FAL107; FAL162; FAL163; FAL164; FAL166; FAL690; FAL691; FAL692; FAL693; FEL_1003; FEL_1004; FEL_1042; FEL_1043; FEL_1321; FEL_1322; FEL_1416; FEL_1417; FEL_145; FEL_1521; FEL_1522; FEL_173; FEL_383; FEL_384; FEL_385; FEL_386; FEL_387; FEL_388; FEL_519; FEL_520; FEL_615; FEL_616; FEL_647; FEL_648; FEL_696; FEL_697; FEL_698; FEL_699; FEL_700; FEL_701; FEL_761; FEL_762; FEL_763; FEL_764; FEL_765; FEL_766; FEL_767; FEL_768; FEL_769; FEL_770; FEL_771; FEL_772; FEL_931; FEL_932; FEL_934; FEL_935; FEL_936; FEL_937; FEL_938; FEL_939; FEL_940; FEL_941; FEL_942; FEL1003; FEL1004; FEL1042; FEL1043; FEL1321; FEL1322; FEL1416; FEL1417; FEL145; FEL1521; FEL1522; FEL173; FEL383; FEL384; FEL385; FEL386; FEL387; FEL388; FEL519; FEL520; FEL615; FEL616; FEL647; FEL648; FEL696; FEL697; FEL698; FEL699; FEL700; FEL701; FEL761; FEL762; FEL763; FEL764; FEL765; FEL766; FEL767; FEL768; FEL769; FEL770; FEL771; FEL772; FEL931; FEL932; FEL934; FEL935; FEL936; FEL937; FEL938; FEL939; FEL940; FEL941; FEL942; FKL_010; FKL_011; FKL_012; FKL_014; FKL_018; FKL_019; FKL_048; FKL_049; FKL_053; FKL_056; FKL_057; FKL_101; FKL_165; FKL_167; FKL_168; FKL_169; FKL_170; FKL_171; FKL_172; FKL_174; FKL_175; FKL_176; FKL_177; FKL_178; FKL_179; FKL010; FKL011; FKL012; FKL014; FKL018; FKL019; FKL048; FKL049; FKL053; FKL056; FKL057; FKL101; FKL165; FKL167; FKL168; FKL169; FKL170; FKL171; FKL172; FKL174; FKL175; FKL176; FKL177; FKL178; FKL179; FML_059; FML_060; FML_061; FML_062; FML_066; FML_068; FML_069; FML_1015; FML_1016; FML_1017; FML_1018; FML_1019; FML_1020; FML_1021; FML_1022; FML_1023; FML_1024; FML_1025; FML_1026; FML_1027; FML_1028; FML_1029; FML_1030; FML_1040; FML_1041; FML_1053; FML_110; FML_111; FML_112; FML_114; FML_121; FML_122; FML_123; FML_125; FML_126; FML_127; FML_128; FML_1297; FML_1298; FML_1299; FML_1300; FML_1301; FML_1302; FML_1303; FML_1304; FML_1306; FML_1309; FML_1310; FML_1311; FML_1312; FML_1319; FML_1320; FML_1334; FML_1370; FML_1371; FML_1372; FML_1373; FML_1374; FML_1375; FML_1376; FML_1377; FML_1378; FML_1379; FML_1380; FML_1381; FML_1382; FML_1383; FML_1384; FML_1385; FML_1386; FML_1387; FML_1388; FML_1444; FML_1445; FML_1446; FML_1447; FML_1448; FML_1449; FML_1470; FML_1471; FML_1472; FML_1473; FML_1533; FML_1534; FML_1535; FML_1536; FML_1538; FML_1539; FML_1540; FML_1542; FML_1543; FML_1544; FML_225; FML_226; FML_227; FML_228; FML_229; FML_230; FML_231; FML_232; FML_233; FML_234; FML_235; FML_236; FML_239; FML_240; FML_241; FML_242; FML_243; FML_244; FML_270; FML_370; FML_371; FML_372; FML_373; FML_374; FML_375; FML_376; FML_377; FML_378; FML_379; FML_380; FML_381; FML_382; FML_420; FML_424; FML_425; FML_446; FML_447; FML_448; FML_449; FML_450; FML_451; FML_452; FML_453; FML_454; FML_455; FML_456; FML_457; FML_458; FML_459; FML_460; FML_461; FML_463; FML_474; FML_560; FML_561; FML_562; FML_563; FML_564; FML_565; FML_566; FML_567; FML_568; FML_569; FML_571; FML_572; FML_573; FML_574; FML_576; FML_577; FML_578; FML_628; FML_629; FML_630; FML_631; FML_632; FML_633; FML_634; FML_635; FML_637; FML_639; FML_640; FML_641; FML_642; FML_643; FML_644; FML_645; FML_646; FML_707; FML_708; FML_709; FML_710; FML_711; FML_712; FML_713; FML_714; FML_716; FML_718; FML_720; FML_721; FML_722; FML_723; FML_724; FML_725; FML_726; FML_879; FML_880; FML_881; FML_882; FML_883; FML_884; FML_885; FML_886; FML_887; FML_888; FML_889; FML_890; FML_891; FML_892; FML_893; FML_894; FML_895; FML_896; FML_897; FML_898; FML_972; FML_973; FML_974; FML_975; FML_976; FML_977; FML_978; FML_979; FML_980; FML_981; FML_982; FML_984; FML_985; FML_986; FML_987; FML_988; FML_989; FML_990; FML059; FML060; FML061; FML062; FML066; FML068; FML069; FML1015; FML1016; FML1017; FML1018; FML1019; FML1020; FML1021; FML1022; FML1023; FML1024; FML1025; FML1026; FML1027; FML1028; FML1029; FML1030; FML1040; FML1041; FML1053; FML110; FML111; FML112; FML114; FML121; FML122; FML123; FML125; FML126; FML127; FML128; FML1297; FML1298; FML1299; FML1300; FML1301; FML1302; FML1303; FML1304; FML1306; FML1309; FML1310; FML1311; FML1312; FML1319; FML1320; FML1334; FML1370; FML1371; FML1372; FML1373; FML1374; FML1375; FML1376; FML1377; FML1378; FML1379; FML1380; FML1381; FML1382; FML1383; FML1384; FML1385; FML1386; FML1387; FML1388; FML1445; FML1533; FML1534; FML1535; FML1536; FML1538; FML1539; FML1540; FML1542; FML1543; FML1544; FML225; FML226; FML227; FML228; FML229; FML230; FML231; FML232; FML233; FML234; FML235; FML236; FML239; FML240; FML241; FML242; FML243; FML244; FML270; FML370; FML371; FML372; FML373; FML374; FML375; FML376; FML377; FML378; FML379; FML380; FML381; FML382; FML420; FML424; FML425; FML446; FML447; FML448; FML449; FML450; FML451; FML452; FML453; FML454; FML455; FML456; FML457; FML458; FML459; FML460; FML461; FML463; FML474; FML560; FML561; FML562; FML563; FML564; FML565; FML566; FML567; FML568; FML569; FML571; FML572; FML573; FML574; FML576; FML577; FML578; FML628; FML629; FML630; FML631; FML632; FML633; FML634; FML635; FML637; FML639; FML640; FML641; FML642; FML643; FML644; FML645; FML646; FML707; FML708; FML709; FML710; FML711; FML712; FML713; FML714; FML716; FML718; FML720; FML721; FML722; FML723; FML724; FML725; FML726; FML879; FML880; FML881; FML882; FML883; FML884; FML885; FML886; FML887; FML888; FML889; FML890; FML891; FML892; FML893; FML894; FML895; FML896; FML897; FML898; FML972; FML973; FML974; FML975; FML976; FML977; FML978; FML979; FML980; FML981; FML982; FML984; FML985; FML986; FML987; FML988; FML989; FML990; FNL_030; FNL_031; FNL_033; FNL_034; FNL_035; FNL_036; FNL_037; FNL_041; FNL_042; FNL_043; FNL_044; FNL_058; FNL_063; FNL_064; FNL_065; FNL_1009; FNL_1010; FNL_1011; FNL_1012; FNL_1013; FNL_1014; FNL_1031; FNL_1032; FNL_1033; FNL_1034; FNL_1035; FNL_1036; FNL_1037; FNL_1038; FNL_1039; FNL_1051; FNL_1052; FNL_1054; FNL_1055; FNL_1056; FNL_1057; FNL_1058; FNL_1059; FNL_1060; FNL_1061; FNL_1062; FNL_115; FNL_116; FNL_129; FNL_130; FNL_131; FNL_1313; FNL_1314; FNL_1315; FNL_1316; FNL_1317; FNL_1318; FNL_132; FNL_1329; FNL_1330; FNL_1331; FNL_1332; FNL_1333; FNL_1335; FNL_1336; FNL_1337; FNL_1338; FNL_134; FNL_1340; FNL_1341; FNL_1342; FNL_1343; FNL_1344; FNL_1345; FNL_135; FNL_136; FNL_137; FNL_138; FNL_1389; FNL_139; FNL_1391; FNL_1392; FNL_1393; FNL_1394; FNL_1395; FNL_1396; FNL_1397; FNL_1398; FNL_1399; FNL_1400; FNL_1401; FNL_1402; FNL_1403; FNL_1404; FNL_1405; FNL_1406; FNL_1407; FNL_1408; FNL_1409; FNL_141; FNL_142; FNL_143; FNL_144; FNL_1450; FNL_1451; FNL_1452; FNL_1453; FNL_1454; FNL_1455; FNL_1456; FNL_1457; FNL_1458; FNL_1459; FNL_1460; FNL_1461; FNL_1465; FNL_1466; FNL_1467; FNL_1468; FNL_1469; FNL_1526; FNL_1527; FNL_1528; FNL_1529; FNL_1530; FNL_1531; FNL_1532; FNL_1545; FNL_1546; FNL_1547; FNL_1548; FNL_1549; FNL_1550; FNL_1551; FNL_1552; FNL_200; FNL_201; FNL_202; FNL_203; FNL_204; FNL_205; FNL_206; FNL_209; FNL_210; FNL_213; FNL_216; FNL_217; FNL_218; FNL_219; FNL_220; FNL_221; FNL_222; FNL_223; FNL_224; FNL_237; FNL_271; FNL_411; FNL_412; FNL_413; FNL_414; FNL_415; FNL_416; FNL_417; FNL_418; FNL_419; FNL_426; FNL_427; FNL_428; FNL_429; FNL_430; FNL_431; FNL_432; FNL_433; FNL_434; FNL_435; FNL_436; FNL_437; FNL_438;
    Type: Dataset
    Format: text/tab-separated-values, 5299 data points
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  • 3
    Publication Date: 2024-04-20
    Description: Mayotte is located in the Mozambique Channel between Madagascar and Mozambique in the Indian Ocean, and is part of the Comoros archipelago. A hydro-sedimentary observatory was installed on three coastal catchment representative of the morphology, geology and land use observed on the island of Mayotte: the Mtsamboro catchment (19 ha), the Dzoumogné catchment (343 ha) and the Salim Be catchment (534 ha). For each watershed, the monitoring is composed of a hydrological and sedimentary station at the outlet and two climatic stations, located upstream and downstream of the basin. Rainfall, discharge and suspended sediment concentration data were recorded between November 2015 and August 2020 at 2-minute time steps. The data is available with a time step of one hour, one day and one month.
    Keywords: Discharge; erosion; Indian Ocean; LESELAM; Lutte contre l'érosion des sols et l'envasement du lagon à Mayotte; Mayotte; Monitoring; rainfall; sediment yield; suspended sediment concentration; volcanic soil
    Type: Dataset
    Format: application/zip, 982.8 kBytes
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  • 4
  • 5
    Publication Date: 2004-04-01
    Print ISSN: 0249-5627
    Electronic ISSN: 1297-9643
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Published by EDP Sciences
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  • 6
  • 7
  • 8
    Publication Date: 2020-01-01
    Description: Abstract: Soil erosion on agricultural land is associated with deleterious off-site impacts including the siltation andthe pollution of the receiving water bodies. To better manage this situation, local/regional water agencies needspatially-distributed information to compare the sensitivity to erosion of the areas draining into these water bodiesand supplying the vast majority of sediment and associated pollutants leading to this water quality impairment.These soil erosion hazard maps are now often included in the latest versions of the basin management plans thatmust be designed to meet the water quality objectives of the EU Framework Directive. However, the resolution ofthese maps is often too coarse to meet the practical needs of these agencies. Accordingly, the current research usedthe latest input databases to improve the MESALES model outputs in one of the largest French River basins (Loire,117,000 km2), with the implementation of three main modifications. First, the seasonal variations of land coverwere incorporated into the model through a revised set of expert rules based on the agricultural census data. Second,the discrimination of the soil textures was improved within the infiltration and erodibility module of the model.Third, variations in rainfall erosivity across the study area were described taking into account the latest erosivitymap available at the European scale. Then, the model results obtained with the updated model version were comparedwith those generated by the previous version. Overall, the simulated soil erosion hazard changed for 35% ofthe pixels of the Loire River basin, with a significant increase of the lowest hazard classes during all seasons exceptsummer. When aggregating the results at the scale of water bodies, the simulated erosion hazard changed for 49%of these management units. Although 28% of these water bodies were associated with a lower hazard, 23% of theriver systems were attributed a higher erosion risk. The implications of these model/map revisions for the localdecision makers were discussed, taking the strategy of concentrating the management budget on those water bodiesassociated with the highest erosion risk as an example. In the future, this model could be used to compare the soilerosion hazard in contrasted regions of Europe and to simulate the impact of management plans designed todecrease this risk to support the decisions of water agencies
    Print ISSN: 0372-8854
    Electronic ISSN: 1864-1687
    Topics: Geography , Geosciences
    Published by Schweizerbart
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  • 9
    Publication Date: 2007-10-22
    Electronic ISSN: 1424-8220
    Topics: Chemistry and Pharmacology , Electrical Engineering, Measurement and Control Technology
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  • 10
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