LOICZVIEW clustering tool applied to the European North

Atlantic coastal zone

Linking typology clustering to river N and P loads to the NA Ocean

The Hague, July 2001

Natacha Brion

Introduction• European coast of the North Atlantic Ocean

– Outlet of large river systems

(Rhine, Elbe, Seine, Loire, …)

– Dense population

– Industrialized

– Intense agriculture

• Systems extremely influenced by human activity

• --------> Impact on ecological functioning of the coastal system

Objective:

• Find a classification of the different European Atlantic coastal environments based on typology data that can reflect the extend of the N and P load to the coastal zone.

Procedure abstract• 1) Preparing the data to cluster:

– Choose most relevant typology data linked to N and P loads and extract them from the LOICZ-Typology data base.

– Import the data to an Excel sheet for appropriate filtration ---- .CSV file

– Extract from the Budget data base, corresponding sites with river N and P load data + add new data from literature.

– 4) Add budget data to typology data-------.CSV file

• 2) Clustering:– In LOICZVIEW: upload the dataset and select ONLY the

typology data. Cluster the data.

• 3) Evaluation:– Visualize the clustered data and overlay the N-load data for

evaluation.

Selecting Data to cluster: Typology• Region: all Europe

• Data:

– Mean annual precipitation

– Temperature

– Basin population density

– Basin area

– Basin runoff

– % crop land coverage

• Target cells: Coastal cell

• -------------------------------------->create the data file and open in Excel

• Filtration: Remove all cells outside the geographic area of interest + remove cells with basin runoff = 0.

• ----------------------------------------->save as a .CSV file

CELL_ID LONGITUDE LATITUDE TEMP_CRU_ANN_AVG PRECIP_CRU_TOTAL SUB_BASIN_AREA SUB_BASIN_POPULATION_DENSITY SUB_BASIN_RUNOFF CELL_PERCNT_CROPLAND33506 12.75 66.75 2.04 2010 7567.88 3 6727816741 033507 13.25 66.75 1.71 2020 4954.93 5.88 3653835256 034225 12.25 66.25 1.57 1791 2514.47 1.71 1388899772 034227 13.25 66.25 2.04 2388 6347.7 3.57 6727816741 0.392234944 11.75 65.75 3.07 1578 3857.77 3.99 2698213286 034946 12.75 65.75 1.57 1806 1269.56 2.42 1388899772 0.434947 13.25 65.75 1.24 1772 5102.78 3.93 5109422930 035664 11.75 65.25 3.07 1508 10523.77 1.39 8430286123 035665 12.25 65.25 3.07 1558 2588.21 4.18 2698213286 035666 12.75 65.25 1.65 1565 1294.11 1.83 1413164944 036382 10.75 64.75 4.29 1318 2661.45 5.16 1234125099 036384 11.75 64.75 3.53 1667 1318.55 4.77 2000246542 0.401636385 12.25 64.75 1.93 1560 9229.66 1.5 8430286123 037102 10.75 64.25 3.63 1272 1342.9 2.92 1375129599 0.837103 11.25 64.25 3.57 1386 1342.9 9.16 1234125099 0.398437104 11.75 64.25 3.55 1416 4028.7 5.73 3128956999 0.803237817 8.25 63.75 5.34 1376 4173.74 5.29 4333515408 037819 9.25 63.75 5.07 1222 31805.35 10.32 22969716820 037820 9.75 63.75 5.07 1195 21970.44 12.29 16294987736 037821 10.25 63.75 4.03 1357 17796.69 7.34 13356503791 0.437822 10.75 63.75 4.13 1279 12255.7 5.82 8717292331 0.401637823 11.25 63.75 4.06 1241 10888.55 5.94 7515573432 0.401638535 7.25 63.25 3.98 1638 5685.09 3.88 4533716678 0

Selecting Data to cluster: N and P loads

• Import the LOICZ budget data base in an excel sheet

• Remove all cells outside the considered area

• Result: Only 2 budgeted small estuaries in Ireland…

• Add new data from literature for other estuaries : Final 9 estuaries

Long Lat !SystemName !Budgetdescription !Continent/Country Areabudgeted DIPload2 DINload2 CELL_ID-9 51.5 Lough Hyne Annual Europe/Ireland 1 0.40734 75.8105 55062-9 51.5 Lough Hyne Annual Europe/Ireland 1 0.40734 75.8105 55782

-1.3 50.8 Solent Estuary Annual Europe/UK 200 35800 554400 565188.75 54.25 Elbe Annual Europe/Germany 148270 258064.5 8571429 51498

-0.75 53.75 Humber Annual Europe/UK 27000 161290.3 2857143 521996.25 53.75 Ems Annual Europe/Netherlands 13150 32258.06 1428571 522136.75 53.75 Ems Annual Europe/Netherlands 13150 32258.06 1428571 522149.25 53.75 Elbe Annual Europe/Germany 148270 258064.5 8571429 522195.25 53.25 rhine Annual Europe/Netherlands 185000 548387.1 20000000 529318.25 53.25 Weser Annual Europe/Germany 46300 64516.13 3571429 529375.75 52.75 rhine Annual Europe/Netherlands 185000 548387.1 20000000 536524.25 52.25 Schelde Annual Europe/Belgium 20300 129032.3 2857143 543695.25 52.25 Schelde Annual Europe/Belgium 20300 129032.3 2857143 543710.75 49.75 Seine Annual Europe/France 73190 225806.5 3571429 57962

• Data of annual N and P loads are introduced in the previous typology data sheet at the corresponding CELL_ID

----------------> save as a>CSV file

CELL_ID LONGITUDE LATITUDE TEMP_CRU_ANN_AVGPRECIP_CRU_TOTALSUB_BASIN_AREASUB_BASIN_POPULATION_DENSITYSUB_BASIN_RUNOFFCELL_PERCNT_CROPLANDDIPload2 DINload252931 5.25 53.25 8.91 780 166896.64 289.32 73228595884 6.8273 548387.10 20000000.0053652 5.75 52.75 9.08 774 165047.18 292.37 73228595884 54.5817 548387.10 20000000.0051498 8.75 54.25 8.26 815 152131.06 165.3 30394977711 30.8 258064.52 8571428.5752219 9.25 53.75 8.56 814 148519.15 168.2 29513672885 74.4 258064.52 8571428.5757962 0.75 49.75 10.45 765 73467.11 210.46 14667281116 35.3414 225806.45 3571428.5752199 -0.75 53.75 8.71 708 7419.24 458.89 1393253579 25.6 161290.32 2857142.8654369 4.25 52.25 9.39 796 45225.03 303.52 10700022056 9.6386 129032.26 2857142.8654371 5.25 52.25 9.3 803 1892.4 684.54 374696507.4 35.8566 129032.26 2857142.8652937 8.25 53.25 8.82 759 7483.87 146 3050767000 53.4137 64516.13 3571428.5756518 -1.25 50.75 10.28 821 1955.73 542.73 416571691.7 8.8 35800.00 554400.0052213 6.25 53.75 8.75 783 3677.24 67.24 445718854.6 0 32258.06 1428571.4352214 6.75 53.75 8.64 770 20750.37 205.02 8912734654 0.4 32258.06 1428571.4355061 -9.75 51.75 9.42 1501 1913.66 5.97 2436089207 0 0.41 75.8155782 -9.25 51.25 9 1306 3848.43 7.69 2246636865 0 0.41 75.8133506 12.75 66.75 2.04 2010 7567.88 3 6727816741 0 -9999.00 -9999.0033507 13.25 66.75 1.71 2020 4954.93 5.88 3653835256 0 -9999.00 -9999.0034225 12.25 66.25 1.57 1791 2514.47 1.71 1388899772 0 -9999.00 -9999.0034227 13.25 66.25 2.04 2388 6347.7 3.57 6727816741 0.3922 -9999.00 -9999.0034944 11.75 65.75 3.07 1578 3857.77 3.99 2698213286 0 -9999.00 -9999.0034946 12.75 65.75 1.57 1806 1269.56 2.42 1388899772 0.4 -9999.00 -9999.0034947 13.25 65.75 1.24 1772 5102.78 3.93 5109422930 0 -9999.00 -9999.0035664 11.75 65.25 3.07 1508 10523.77 1.39 8430286123 0 -9999.00 -9999.0035665 12.25 65.25 3.07 1558 2588.21 4.18 2698213286 0 -9999.00 -9999.0035666 12.75 65.25 1.65 1565 1294.11 1.83 1413164944 0 -9999.00 -9999.0036382 10.75 64.75 4.29 1318 2661.45 5.16 1234125099 0 -9999.00 -9999.0036384 11.75 64.75 3.53 1667 1318.55 4.77 2000246542 0.4016 -9999.00 -9999.0036385 12.25 64.75 1.93 1560 9229.66 1.5 8430286123 0 -9999.00 -9999.0037102 10.75 64.25 3.63 1272 1342.9 2.92 1375129599 0.8 -9999.00 -9999.0037103 11.25 64.25 3.57 1386 1342.9 9.16 1234125099 0.3984 -9999.00 -9999.0037104 11.75 64.25 3.55 1416 4028.7 5.73 3128956999 0.8032 -9999.00 -9999.0037817 8.25 63.75 5.34 1376 4173.74 5.29 4333515408 0 -9999.00 -9999.0037819 9.25 63.75 5.07 1222 31805.35 10.32 22969716820 0 -9999.00 -9999.00

Clustering• Upload the data file and select all data except

DIN and DIP load

• Make an MDL to estimate best number of clusters:

Cluster 0: high SUB BASIN AREA

Cluster 1: low TEMP CRU ANNAVG, high PRECIP CRU TOTAL, low SUB BASIN AREA

Cluster 2: high SUB BASIN POPULATION DENSITY, low SUB BASIN AREA

Cluster 3: high TEMP CRU ANNAVG, low SUB BASIN AREA, low SUB BASIN POPULATION DENSITY

Cluster 4: high CELL PERCNT CROPLAND, low SUB BASIN AREA, low SUB BASIN POPULATION DENSITY

Cluster 5: medium TEMP CRU ANN AVG, low PRECIP CRU TOTAL,low SUB BASIN AREA

Class 0 > 5 000 000 4 points

Class 1 1 000 000 - 5 000 000 7 points

Class 2 100 000 - 1 000 000 1

Class 3 < 100 000 2

Class #0 Class #1 Class #2 Class #3

Cluster #0 100 14.29 0 0

Cluster #1 0 0 0 0

Cluster #2 0 28.57 100 0

Cluster #3 0 0 0 0

Cluster #4 0 14.29 0 0

Cluster #5 0 42.86 0 100

NITROGEN LOAD1000 moles > year

Cluster 0: high BASIN AREACluster 1: low TEMP, high PRECIP, low BASIN AREACluster 2: high POPULATION DENSITY, low BASIN AREACluster 3: high TEMP, low BASIN AREA, low POPULATION DENSITYCluster 4: high PERCNT CROPLAND, low BASIN AREA, low BASIN POPULATION DENSITYCluster 5: medium TEMP , low PRECIP , low BASIN AREA

Cluster 0: high BASIN AREACluster 1: low TEMP, high PRECIP, low BASIN AREACluster 2: high POPULATION DENSITY, low BASIN AREACluster 3: high TEMP, low BASIN AREA, low POPULATION DENSITYCluster 4: high PERCNT CROPLAND, low BASIN AREA, low BASIN POPULATION DENSITYCluster 5: medium TEMP , low PRECIP , low BASIN AREA

PHOSPHORUS LOAD1000 moles / year

Class 0 >100 000 8 points

Class 1 10 000 - 100 000 4

Class 2 < 10 000 2

Class #0 Class #1 Class #2

Cluster #0 62.5 0 0

Cluster #1 0 0 0

Cluster #2 25 25 0

Cluster #3 0 0 0

Cluster #4 0 25 0

Cluster #5 12.5 50 100