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Felber, Agnes; Thaler, Melanie; Mark, Wolfgang; Wieser, Josef; Persiano, Simone; Schmölz, Katja; Bertoldi, Giacomo; Tasser, Erich (2021): Hydromorphological conditions of small streams in North Italy and West Austria [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.937570

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Abstract:
Considering the entire fluvial network of Tyrol and South Tyrol, 81 sampling sites were selected according to the following requirements: (1) degree of hydrological disturbance (undisturbed, residual water, temporal residual water or hydropeaking); (2) type of water regime (e.g. groundwater, glacial, nivo-pluvial); (3) degree of morphological disturbance (either near natural conditions or anthropogenic changed conditions); (4) dominant land use type in the catchment with a total area of 4 ha (either grassland, forest, vineyard/orchard or urban settlement); (5) hormone pollution (based on the location of the sample point - before or after sewage treatment plant, or pesticide suspicion).
Hydrological and morphological indicators as well as derived indices are based on a standardized methodical approach: (1) survey of morphological and hydrological stream characteristics using standardised field manual and entry form. The hydrological indicators were identified through flow-duration curves, which represent quantitative characterisation of the streamflow regime and harmonised data provided by local agencies and on-site probes; (2) standardized index calculations, starting with the hydrological index IH and morphological index IM, which were summed up to the hydromorphological index IHM.
Further details regarding the methodical approach and its application are explained in the publication resulting from the analysis of this hydromorphological data (see Supplement to).
Keyword(s):
European Alps; fish fauna; hydrological disturbances; hydromorphology; morphological disturbances
Supplement to:
Schmölz, Katja; Felber, Agnes; Mark, Wolfgang; Thaler, Melanie; Wieser, Josef; Persiano, Simone; Bertoldi, Giacomo; Tasser, Erich (accepted): The hydromorphology index I HM based on fish requirements. River Research and Applications
Coverage:
Median Latitude: 47.016601 * Median Longitude: 11.424529 * South-bound Latitude: 46.310243 * West-bound Longitude: 10.152770 * North-bound Latitude: 47.651697 * East-bound Longitude: 12.589748
Date/Time Start: 2018-03-27T00:00:00 * Date/Time End: 2019-10-15T00:00:00
Minimum Elevation: 219.0 m * Maximum Elevation: 2001.0 m
Event(s):
Ache_1  * Latitude Start: 47.579671 * Longitude Start: 11.631884 * Latitude End: 47.578112 * Longitude End: 11.637710 * Date/Time: 2018-04-09T00:00:00 * Elevation: 869.0 m * Location: Austria * Method/Device: Monitoring (MON)
Ache_2  * Latitude Start: 47.536532 * Longitude Start: 11.704202 * Latitude End: 47.532149 * Longitude End: 11.705584 * Date/Time: 2018-04-10T00:00:00 * Elevation: 923.0 m * Location: Austria * Method/Device: Monitoring (MON)
Ache_3  * Latitude Start: 47.522834 * Longitude Start: 11.707585 * Latitude End: 47.518753 * Longitude End: 11.710011 * Date/Time: 2018-04-10T00:00:00 * Elevation: 916.0 m * Location: Austria * Method/Device: Monitoring (MON)
Comment:
Requirements for the selection of sampling sites have been chosen and judged by experts on-site and through official data provided by local authorities.
Fish data: Fish fauna were investigated in each of the 80 sampling sites by means of standard electrofishing methods (Guidance on surveying the biological quality elements – A1; (Haunschmid et al. 2019).
Indices based on the method of Schmölz et al. submitted: Based on the hydrological and morphological indicators, 3 indices, the morphology (IM), hydrology (IH), and hydromorphology indices (IHM), were made to create a holistic picture of the total stream conditions. Each index was ranked from 1 to 5 (very good to bad stream conditions).
Hydrological and morphological indicators based on the method of Schmölz et al. submitted: The methodical approach (for more details see Schmölz et. al submitted) is based on European standardisation of the Austrian and Italian methods and it has been tested in the context of an international fish project in 81 stream sections in the European Alps, having homogeneous morphological characteristics. The assessment procedure is composed of a set of 11 indicators, which were selected to evaluate longitudinal and lateral morphological and hydrological conditions. The study used fish data, as well as hydrological and morphological on-site data, pre-existing hydrological data, and expert inputs. The combined information of hydrology and morphology enabled the understanding of the dynamics of watercourses and its effects on fish fauna. Each indicator was ranked from 1 to 5 (very good to bad stream conditions).
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Event labelEventFelber, Agnes
Latitude of eventLatitudeFelber, Agnes
Longitude of eventLongitudeFelber, Agnes
Latitude of event 2Latitude 2Felber, Agnes
Longitude of event 2Longitude 2Felber, Agnes
Elevation of eventElevationmFelber, Agnes
CountryCountryFelber, Agnes
LocationLocationFelber, Agnes
DATE/TIMEDate/TimeFelber, AgnesGeocode
10 DATE/TIMEDate/TimeFelber, AgnesGeocode – other
11 PollutionPollutionFelber, Agnesby hormons
12 Land useLand useFelber, Agnesdominant type in the catchment
13 RegimeRegimeFelber, Agnestype of water regime
14 Disturbance TypeDisturbance TypeFelber, Agnesmorphological
15 Disturbance TypeDisturbance TypeFelber, Agneshydrological
16 Species richnessSFelber, AgnesElectrofishingmeasured per ha
17 PiscesPisces#/haFelber, AgnesElectrofishing
18 Pisces, biomass per areaPisces biomkg/haFelber, AgnesElectrofishing
19 IndexIndexFelber, Agnesbased on the method of Schmölz et al.Hydrological index IH
20 IndexIndexFelber, Agnesbased on the method of Schmölz et al.Morphological index IM
21 IndexIndexFelber, Agnesbased on the method of Schmölz et al.Hydromorphological index IHM
22 Hydrological indicatorHydrol indFelber, Agnesbased on the method of Schmölz et al.Degree of hydrological disturbance Fy
23 Hydrological indicatorHydrol indFelber, Agnesbased on the method of Schmölz et al.Descent speed indicator Fi
24 Hydrological indicatorHydrol indFelber, Agnesbased on the method of Schmölz et al.Discharge conditions of hydropeaking Fh
25 Morphological indicatorMorphol indFelber, Agnesbased on the method of Schmölz et al.Riverbank dynamic Fd
26 Morphological indicatorMorphol indFelber, Agnesbased on the method of Schmölz et al.Riverbed Fb
27 Morphological indicatorMorphol indFelber, Agnesbased on the method of Schmölz et al.Structure Ft
28 Morphological indicatorMorphol indFelber, Agnesbased on the method of Schmölz et al.Fish passability Fp
29 Morphological indicatorMorphol indFelber, Agnesbased on the method of Schmölz et al.Reproduction sites Fr
30 Morphological indicatorMorphol indFelber, Agnesbased on the method of Schmölz et al.Substrate Fs
31 Morphological indicatorMorphol indFelber, Agnesbased on the method of Schmölz et al.Course of the river Fl
32 Morphological indicatorMorphol indFelber, Agnesbased on the method of Schmölz et al.Riverbank vegetation Fv
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
1920 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Event

Latitude

Longitude

Latitude 2

Longitude 2

Elevation [m]

Country

Location

Date/Time
10 
Date/Time
(other)
11 
Pollution
(by hormons)
12 
Land use
(dominant type in the catchment)
13 
Regime
(type of water regime)
14 
Disturbance Type
(morphological)
15 
Disturbance Type
(hydrological)
16 
S
(measured per ha, Electrofishing)
17 
Pisces [#/ha]
(Electrofishing)
18 
Pisces biom [kg/ha]
(Electrofishing)
19 
Index
(Hydrological index IH, based ...)
20 
Index
(Morphological index IM, based...)
21 
Index
(Hydromorphological index IHM,...)
22 
Hydrol ind
(Degree of hydrological distur...)
23 
Hydrol ind
(Descent speed indicator Fi, b...)
24 
Hydrol ind
(Discharge conditions of hydro...)
25 
Morphol ind
(Riverbank dynamic Fd, based o...)
26 
Morphol ind
(Riverbed Fb, based on the met...)
27 
Morphol ind
(Structure Ft, based on the me...)
28 
Morphol ind
(Fish passability Fp, based on...)
29 
Morphol ind
(Reproduction sites Fr, based ...)
30 
Morphol ind
(Substrate Fs, based on the me...)
31 
Morphol ind
(Course of the river Fl, based...)
32 
Morphol ind
(Riverbank vegetation Fv, base...)
Ache_1 47.579711.631947.578111.6377869AustriaTyrol2018-04-09no impactforestnivo-pluvialanthropogenic changed conditionsresidual flow22854.8029.401.331.081.201.001.001.981.001.001.2012.001.431.001.00
Ache_2 47.536511.704247.532111.7056923AustriaTyrol2018-04-10no impacturban settlementnivo-pluvialanthropogenic changed conditionsresidual flow32328.6020.101.343.372.361.001.002.032.751.004.4051.003.643.254.00
Ache_3 47.522811.707647.518811.7100916AustriaTyrol2018-04-10no impacturban settlementnivo-pluvialanthropogenic changed conditionsresidual flow25216.60123.001.341.821.581.001.002.031.731.002.6011.003.502.234.00
Ahr_1 46.849111.956646.850911.9513850ItalySouth Tyrol2019-03-20no impactforestnivo-pluvialnear natural conditionshydropeaking6861.0081.931.451.741.591.061.681.601.001.001.3511.001.211.001.50
Ahr_2 46.919011.958746.921011.9529876ItalySouth Tyrol2019-03-20no impacturban settlementglazialanthropogenic changed conditionsresidual flow5104.0089.811.503.002.251.001.002.494.351.702.8013.001.005.004.00
Ahr_3 46.936911.934746.940011.9303950ItalySouth Tyrol2019-04-18no impactforestglazialnear natural conditionsnatural6451.7131.901.001.521.261.001.001.001.631.231.2012.501.002.132.50
Ahr_4 46.957711.921746.961511.9211975ItalySouth Tyrol2019-04-24no impactgrasslandglazialanthropogenic changed conditionsnatural3279.6031.471.002.571.791.001.001.003.001.502.8013.001.004.004.00
Ahr_5 47.042412.114347.045312.11931500ItalySouth Tyrol2018-11-052019-04-24no impactgrasslandglazialanthropogenic changed conditionsresidual flow111.113.971.723.572.641.001.003.153.582.103.1043.001.004.584.00
Ahr_6 47.048312.123447.049712.12861588ItalySouth Tyrol2018-11-05no impactgrasslandglazialanthropogenic changed conditionsresidual flow132.2611.741.723.722.721.001.003.174.001.631.4054.501.005.003.00
Ahr_7 47.056212.144847.057412.14931643ItalySouth Tyrol2018-10-17no impactgrasslandglazialnear natural conditionsnatural4787.1973.621.001.261.131.001.001.001.631.001.2012.001.001.881.00
Ahr_8 47.057412.149347.061012.15321650ItalySouth Tyrol2018-10-17no impactgrasslandglazialanthropogenic changed conditionsnatural3153.4827.261.001.201.101.001.001.001.941.001.2011.001.502.191.00
Branz_1 46.342311.281246.346511.2831219ItalySouth Tyrol2018-03-27no impactvineyard/orchardgroundwateranthropogenic changed conditionstemporal residual water6894.0033.251.393.512.451.001.002.183.501.053.2515.004.434.504.00
Branz_2 46.392611.307246.397111.3073224ItalySouth Tyrol2018-03-27no impactvineyard/orchardgroundwateranthropogenic changed conditionstemporal residual water11607.0075.841.423.532.481.001.002.273.501.003.7533.003.214.505.00
Brunnb_1 47.633412.460547.629612.4642609AustriaTyrol2018-04-04no impactgrasslandgroundwateranthropogenic changed conditionsnatural72649.1055.501.002.151.581.001.001.001.381.001.7514.253.931.383.00
Entw_1 47.617312.464747.613012.4662619AustriaTyrol2018-04-04no impactgrasslandgroundwateranthropogenic changed conditionsnatural53095.90102.501.001.561.281.001.001.001.001.001.0014.001.431.003.00
Etsch_1 46.649610.575146.653410.5718895ItalySouth Tyrol2019-01-17after sewage treatment plantforestnivo-pluvialanthropogenic changed conditionshydropeaking and residual water662.0070.192.682.742.714.144.782.893.501.202.6013.002.794.502.50
Etsch_2 46.663610.562646.667010.5584903ItalySouth Tyrol2018-12-04before sewage treatment plantgrasslandnivo-pluvialanthropogenic changed conditionsresidual flow636.0056.481.632.752.191.001.002.893.501.053.6013.001.004.503.00
Falls_1 46.622411.181446.626011.1781269ItalySouth Tyrol2018-04-18no impactforestnivo-pluvialnear natural conditionshydropeaking8362.0061.413.941.202.574.144.782.911.001.001.0011.005.001.001.00
Falls_2 46.625811.157346.623611.1516290ItalySouth Tyrol2018-04-18pesticid suspicionvineyard/orchardnivo-pluvialanthropogenic changed conditionshydropeaking549.0036.764.092.693.394.144.783.344.001.502.1013.001.005.003.00
Falls_3 46.614311.138746.613211.1351436ItalySouth Tyrol2018-03-30no impactforestnivo-pluvialnear natural conditionsresidual flow3204.0043.581.542.121.831.001.002.631.001.001.4053.001.001.001.00
Falls_4 46.553911.026146.551011.0211942ItalySouth Tyrol2018-04-24after sewage treatment plantforestnivo-pluvialanthropogenic changed conditionsresidual flow2190.00129.761.541.421.481.001.002.621.061.071.4031.501.001.061.00
Falls_5 46.548511.015246.546311.0096999ItalySouth Tyrol2018-04-24before sewage treatment plantforestnivo-pluvialanthropogenic changed conditionsresidual flow2145.00129.191.541.621.581.001.002.621.001.002.0041.001.001.001.00
Falls_6 46.511710.929846.509110.92471233ItalySouth Tyrol2018-04-18no impactgrasslandnivo-pluvialanthropogenic changed conditionsresidual flow2190.00103.341.382.391.881.001.002.131.381.002.5043.001.001.383.50
Fieber_1 47.523912.431347.521112.4370658AustriaTyrol2019-06-26no impacturban settlementnivalanthropogenic changed conditionsresidual flow72302.30127.701.014.162.581.001.001.043.551.054.0055.002.434.551.00
Fieber_2 47.482012.537347.478912.5415769AustriaTyrol2019-06-26no impacturban settlementnivalanthropogenic changed conditionsnatural3463.1039.801.003.572.291.001.001.004.251.053.8015.001.435.005.00
Fieber_3 47.454412.589747.450412.5876862AustriaTyrol2019-06-26no impactforestnivalanthropogenic changed conditionsresidual flow3564.9017.601.141.911.531.001.001.431.051.002.2051.001.211.051.00
Gader_1 46.721211.888246.717911.88921061ItalySouth Tyrol2019-05-14no impactforestnivo-pluvialanthropogenic changed conditionsnatural2854.5029.581.002.821.911.001.001.003.041.402.0015.001.004.044.00
Gader_2 46.703311.884146.700511.88491171ItalySouth Tyrol2019-03-19no impactforestnivo-pluvialanthropogenic changed conditionsnatural253.0029.771.001.381.191.001.001.001.991.001.0012.001.002.242.00
Gader_3 46.589311.907946.584911.90831397ItalySouth Tyrol2019-05-14no impactgrasslandnivo-pluvialanthropogenic changed conditionsresidual flow339.0039.301.432.762.091.001.002.292.451.582.6015.001.003.203.75
Gerlo_1 47.215412.014447.217712.01911213AustriaTyrol2018-04-18no impactgrasslandnivalanthropogenic changed conditionshydropeaking and residual water3688.6054.703.062.792.933.015.001.162.121.003.8015.001.002.874.00
Gerlo_2 47.227312.046447.230012.05091256AustriaTyrol2018-04-18no impactgrasslandnivalanthropogenic changed conditionshydropeaking and residual water2230.8042.303.103.173.133.015.001.283.501.003.8014.002.144.504.00
Gerlo_3 47.237912.064247.238112.07011342AustriaTyrol2018-04-18no impactforestnivalanthropogenic changed conditionsresidual flow31958.1057.901.282.021.651.001.001.841.741.001.4051.001.571.991.00
Grossa_1 47.609512.472647.605312.4701620AustriaTyrol2019-10-15after sewage treatment plantgrasslandnivalanthropogenic changed conditionsnatural5921.6036.201.002.841.921.001.001.002.001.003.6015.003.143.001.50
Grossa_2 47.573612.470447.569612.4675634AustriaTyrol2019-10-15before sewage treatment plantgrasslandnivalanthropogenic changed conditionsnatural5434.3019.301.002.731.871.001.001.003.301.002.4014.002.434.302.00
Grossa_3 47.527012.427947.522912.4250657AustriaTyrol2019-10-15no impacturban settlementnivalanthropogenic changed conditionsnatural4925.2058.801.003.162.081.001.001.003.291.104.0015.001.004.292.25
Grossa_4 47.465812.386947.460912.3869734AustriaTyrol2019-10-15no impacturban settlementnivalanthropogenic changed conditionsnatural3761.1058.401.003.372.181.001.001.003.661.104.0015.001.004.664.00
Grossa_5 47.436512.402847.432112.4047769AustriaTyrol2019-10-15no impacturban settlementnivalanthropogenic changed conditionsnatural3783.1060.301.002.821.911.001.001.003.501.101.6042.501.004.502.00
Hornb_1 47.365810.520447.365410.5141988AustriaTyrol2018-06-05no impactforestnivalnear natural conditionsnatural285.508.401.001.501.251.001.001.001.001.002.2012.003.431.001.00
Isel_1 46.996912.515646.993912.5116951AustriaTyrol2018-12-01no impactgrasslandnivo-glazialanthropogenic changed conditionsnatural2266.1020.401.001.411.201.001.001.001.941.001.0012.001.432.192.00
Isel_2 46.998312.432047.000112.42561108AustriaTyrol2018-12-01no impactgrasslandnivo-glazialanthropogenic changed conditionsnatural2114.3013.601.002.311.661.001.001.002.451.052.4032.001.363.201.50
Isel_3 47.013812.332647.013412.32691368AustriaTyrol2018-11-30no impactgrasslandnivo-glazialnear natural conditionsnatural3357.9052.601.002.001.501.001.001.002.451.051.6012.002.933.752.50
Isel_4 47.009712.294047.009912.28771657AustriaTyrol2018-12-01no impactgrasslandnivo-glazialnear natural conditionsnatural00.000.001.002.651.831.001.001.001.891.001.6052.501.712.394.50
kA_1 47.118711.321347.115911.3178970AustriaTyrol2018-09-05no impactgrasslandgroundwateranthropogenic changed conditionsnatural526088.10283.101.001.471.231.001.001.002.001.001.2011.002.142.005.00
Kalte_1 46.348711.267646.353211.2669223ItalySouth Tyrol2018-03-29no impactvineyard/orchardgroundwateranthropogenic changed conditionstemporal residual water00.000.001.353.452.401.001.002.063.501.003.0015.005.003.455.00
Kalte_2 46.337411.254746.341111.2585223ItalySouth Tyrol2018-03-29no impactvineyard/orchardgroundwateranthropogenic changed conditionstemporal residual water11690.001090.141.333.462.401.001.001.993.501.003.3515.004.433.455.00
Kalte_3 46.310211.234746.314411.2372223ItalySouth Tyrol2018-03-29no impactvineyard/orchardgroundwateranthropogenic changed conditionstemporal residual water9607.00450.001.293.572.431.001.001.873.351.003.3515.004.794.435.00
Klammb_1 47.568111.683147.569011.6884965AustriaTyrol2018-04-09no impactforestnivo-pluvialnear natural conditionsnatural1769.2040.001.001.141.071.001.001.001.251.251.8011.001.071.751.00
Lech_1 47.431310.604847.431410.5983892AustriaTyrol2018-10-22after sewage treatment plantforestnivalnear natural conditionsnatural4248.1029.301.001.251.131.001.001.001.131.002.2311.002.641.131.00
Lech_2 47.397810.569547.393910.5661922AustriaTyrol2018-10-22before sewage treatment plantforestnivalnear natural conditionsnatural6127.7019.501.001.541.271.001.001.001.001.001.9813.002.291.001.00
Lech_3 47.354810.546347.351010.5429954AustriaTyrol2018-10-22no impactforestnivalnear natural conditionsnatural4292.6016.101.001.001.001.001.001.001.141.001.8011.001.071.141.00
Lech_4 47.242110.281847.242410.27591234AustriaTyrol2018-10-02no impactgrasslandnivalanthropogenic changed conditionsnatural2134.5019.801.002.891.941.001.001.002.891.504.0013.002.433.893.00
Lech_5 47.249810.258747.248210.25281196AustriaTyrol2018-10-02no impactforestnivalnear natural conditionsnatural2226.1045.301.001.821.411.001.001.001.001.001.4015.001.071.003.00
Leife_1 46.430611.319446.434911.3204229ItalySouth Tyrol2018-03-27pesticid suspicionvineyard/orchardgroundwateranthropogenic changed conditionstemporal residual water59800.75259.221.443.522.481.001.002.313.501.003.7515.003.074.505.00
Namlo_1 46.639211.171946.643611.1734275AustriaTyrol2018-06-05no impactvineyard/orchardnivo-pluvialanthropogenic changed conditionsnatural839.00161.791.003.802.401.001.001.003.251.253.8045.001.434.252.00
Naif_1 47.386310.559647.383010.5639935ItalySouth Tyrol2018-06-28no impacturban settlementnivalanthropogenic changed conditionsnatural2148.807.801.003.192.101.001.001.003.501.503.6013.003.794.504.00
Pfusse_1 46.388111.262046.391311.2591220ItalySouth Tyrol2018-03-29pesticid suspicionvineyard/orchardnivo-pluvialanthropogenic changed conditionsnatural5140.00681.421.002.691.841.001.001.002.302.523.2013.001.862.804.00
Plima_1 46.613210.832146.609310.8291676ItalySouth Tyrol2018-05-04pesticid suspicionvineyard/orchardnivo-pluvialanthropogenic changed conditionsresidual flow6492.0051.151.463.252.351.001.002.383.472.102.2043.001.004.502.00
Plima_2 46.596510.823846.592310.8219784ItalySouth Tyrol2018-05-02no impactforestnivo-pluvialanthropogenic changed conditionsresidual flow21069.88179.251.463.032.241.001.002.372.251.601.5053.003.712.751.50
Plima_3 46.569910.791746.568110.78971163ItalySouth Tyrol2018-04-09no impactgrasslandnivo-pluvialanthropogenic changed conditionsresidual flow379.0072.211.442.992.221.001.002.332.511.602.1053.001.363.011.50
Puni_1 46.646710.584846.648610.5795894ItalySouth Tyrol2019-01-18no impactforestglazialanthropogenic changed conditionshydropeaking7478.0090.434.712.523.624.145.005.002.311.052.2014.502.433.312.50
Puni_2 46.675410.551146.686310.5434936ItalySouth Tyrol2018-05-03pesticid suspiciongrasslandglazialanthropogenic changed conditionsresidual flow3106.00143.612.102.532.311.001.004.311.191.402.4052.501.711.192.50
Puni_3 46.686310.543446.690510.54301022ItalySouth Tyrol2018-05-09no impacturban settlementglazialanthropogenic changed conditionsresidual flow382.00582.382.115.003.551.001.004.324.304.003.6055.002.435.003.00
Puni_4 46.722310.582546.724810.58741608ItalySouth Tyrol2018-05-10no impactgrasslandglazialanthropogenic changed conditionsresidual flow138.00220.232.082.682.381.001.004.233.501.002.7013.002.214.503.00
Ramba_1 46.670310.527246.671310.5208938ItalySouth Tyrol2018-10-18no impactgrasslandnivo-pluvialanthropogenic changed conditionsnatural427.0058.271.002.281.641.001.001.003.501.802.6011.001.004.503.00
Rosan_1 47.141510.310847.141710.30451240AustriaTyrol2018-09-26no impactgrasslandnivalanthropogenic changed conditionshydropeaking and residual water1266.1058.001.651.801.731.061.002.891.491.053.0012.001.931.743.00
Rosan_2 47.138510.286447.137310.28211248AustriaTyrol2018-09-26no impactgrasslandnivalanthropogenic changed conditionshydropeaking and residual water2211.9044.301.663.152.401.061.002.902.751.053.6015.003.003.503.50
Rosan_3 47.119910.249847.118810.24471346AustriaTyrol2018-09-26no impactforestnivalanthropogenic changed conditionsresidual flow1251.3024.601.451.681.571.001.002.361.251.002.4031.001.431.501.75
Rosan_4 47.058910.173147.055310.16991700AustriaTyrol2018-09-18no impactforestnivalanthropogenic changed conditionsresidual flow1233.8032.601.971.751.861.001.003.921.001.001.4051.001.431.001.00
Rosan_5 47.032710.154747.028610.15282001AustriaTyrol2018-09-18no impactforestnivalanthropogenic changed conditionsnatural1318.6037.701.001.031.021.001.001.001.251.001.6011.001.431.251.00
Ruetz_1 47.209911.389047.205511.3890676AustriaTyrol2018-09-20no impactgrasslandnivo-glazialanthropogenic changed conditionsresidual flow2393.9016.501.841.201.521.001.003.531.451.001.8011.001.072.451.00
Ruetz_2 47.163511.366347.159911.3635865AustriaTyrol2018-04-17after sewage treatment plantgrasslandnivo-glazialanthropogenic changed conditionsresidual flow3425.60123.701.502.381.941.001.002.493.391.004.0011.002.074.391.00
Ruetz_3 47.158511.359547.156911.3577937AustriaTyrol2018-09-05before sewage treatment plantgrasslandnivo-glazialanthropogenic changed conditionsresidual flow3425.6035.001.501.811.651.001.002.502.891.851.6011.001.213.891.00
Ruetz_4 47.121011.323847.116811.3220965AustriaTyrol2018-04-03no impactgrasslandnivo-glazialanthropogenic changed conditionsresidual flow3596.9043.101.562.161.861.001.002.692.561.004.0011.001.433.064.00
Ruetz_5 47.055311.240847.051811.23931202AustriaTyrol2018-09-20no impactgrasslandnivo-glazialnear natural conditionsnatural4202.3019.801.003.122.061.001.001.002.511.004.0015.003.292.514.00
Ruetz_6 47.017211.195647.015011.19021577AustriaTyrol2018-09-20no impactgrasslandnivo-glazialnear natural conditionsnatural220.202.501.002.681.841.001.001.001.531.004.0015.001.791.784.00
Saldu_1 46.657110.582846.661610.5831903ItalySouth Tyrol2018-05-03no impactgrasslandglazialanthropogenic changed conditionsresidual flow15.009.761.893.092.491.001.003.683.502.052.2033.001.004.503.00
Saldu_2 46.726010.682546.729710.68571827ItalySouth Tyrol2019-05-16no impactgrasslandglazialanthropogenic changed conditionsnatural00.000.002.022.762.391.001.004.071.731.502.2053.001.001.983.00
Weisse_1 47.651712.364847.650812.3586627AustriaTyrol2018-04-06after sewage treatment plantforestnivalanthropogenic changed conditionsnatural52855.8093.601.002.491.751.001.001.002.881.054.0021.002.073.632.50
Weisse_2 47.644012.341047.640512.3442661AustriaTyrol2018-04-06before sewage treatment plantforestnivalanthropogenic changed conditionsnatural2883.709.401.002.471.741.001.001.002.501.003.6013.002.433.501.00
Weisse_3 47.634112.351347.629812.3516748AustriaTyrol2018-11-23no impactforestnivalnear natural conditionsnatural1911.9018.701.001.661.331.001.001.001.001.002.8031.001.791.001.00