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Compute a 1d water level dataset based on the FLYS3 algorythms

Source: R/waterLevelFlys3InterpolateY.R
waterLevelFlys3InterpolateY.Rd

Function to compute 1d water level information based on the original FLYS3 algorythms and store it as column w of an S4 object of type WaterLevelDataFrame.

Usage 

waterLevelFlys3InterpolateY(wldf, gauging_station, w, uuid, shiny = FALSE)

Arguments

wldf

an object of class WaterLevelDataFrame.

gauging_station

must be type character with a length of one. Permitted values are: 'SCHOENA', 'PIRNA', 'DRESDEN', 'MEISSEN', 'RIESA', 'MUEHLBERG', 'TORGAU', 'PRETZSCH-MAUKEN', 'ELSTER', 'WITTENBERG', 'COSWIG', 'VOCKERODE', 'ROSSLAU', 'DESSAU', 'AKEN', 'BARBY', 'SCHOENEBECK', 'MAGDEBURG-BUCKAU', 'MAGDEBURG-STROMBRUECKE', 'MAGDEBURG-ROTHENSEE', 'NIEGRIPP AP', 'ROGAETZ', 'TANGERMUENDE', 'STORKAU', 'SANDAU', 'SCHARLEUK', 'WITTENBERGE', 'MUEGGENDORF', 'SCHNACKENBURG', 'LENZEN', 'GORLEBEN', 'DOEMITZ', 'DAMNATZ', 'HITZACKER', 'NEU DARCHAU', 'BLECKEDE', 'BOIZENBURG', 'HOHNSTORF', 'ARTLENBURG', 'GEESTHACHT', 'IFFEZHEIM', 'PLITTERSDORF', 'MAXAU', 'PHILIPPSBURG', 'SPEYER', 'MANNHEIM', 'WORMS', 'NIERSTEIN-OPPENHEIM', 'MAINZ', 'OESTRICH', 'BINGEN', 'KAUB', 'SANKT GOAR', 'BOPPARD', 'BRAUBACH', 'KOBLENZ', 'ANDERNACH', 'OBERWINTER', 'BONN', 'KOELN', 'DUESSELDORF', 'RUHRORT', 'WESEL', 'REES', 'EMMERICH'.

w

If the wldf does not supply a valid non-NA time slot, it is possible to execute the function with the help of this optional parameter. Otherwise getGaugingDataW or getPegelonlineW provide gauging data internally.

uuid

must be type character with a length of one. Permitted values are: '7cb7461b-3530-4c01-8978-7f676b8f71ed', '85d686f1-55b2-4d36-8dba-3207b50901a7', '70272185-b2b3-4178-96b8-43bea330dcae', '24440872-5bd2-4fb3-8554-907b49816c49', 'b04b739d-7ffa-41ee-9eb9-95cb1b4ef508', '16b9b4e7-be14-41fd-941e-6755c97276cc', '83bbaedb-5d81-4bc6-9f66-3bd700c99c1f', 'f3dc8f07-c2bb-4b92-b0b0-4e01a395a2c6', 'c093b557-4954-4f05-8f5c-6c6d7916c62d', '070b1eb4-3872-4e07-b2e5-e25fd9251b93', '1ce53a59-33b9-40dc-9b17-3cd2a2414607', 'ae93f2a5-612e-4514-b5fd-9c8aecdd73c7', 'e97116a4-7d30-4671-8ba1-cdce0a153d1d', '1edc5fa4-88af-47f5-95a4-0e77a06fe8b1', '094b96e5-caeb-46d3-a8ee-d44182add069', '939f82ec-15a9-49c8-8828-dc2f8a2d49e2', '90bcb315-f080-41a8-a0ac-6122331bb4cf', 'b8567c1e-8610-4c2b-a240-65e8a74919fa', 'ccccb57f-a2f9-4183-ae88-5710d3afaefd', 'e30f2e83-b80b-4b96-8f39-fa60317afcc7', '3adf88fd-fd7a-41d0-84f5-1143c98a6564', '133f0f6c-2ca1-4798-9360-5b5f417dd839', '13e91b77-90f3-41a5-a320-641748e9c311', 'de4cc1db-51cb-4b62-bee2-9750cbe4f5c4', 'f4c55f77-ab80-4e00-bed3-aa6631aba074', 'e32b0a28-8cd5-4053-bc86-fff9c6469106', 'cbf3cd49-91bd-49cc-8926-ccc6c0e7eca4', '48f2661f-f9cb-4093-9d57-da2418ed656e', '550e3885-a9d1-4e55-bd25-34228bd6d988', 'c80a4f21-528c-4771-98d7-10cd591699a4', 'ac507f42-1593-49ea-865f-10b2523617c7', '6e3ea719-48b1-408a-bc55-0986c1e94cd5', 'c233674f-259a-4304-b81f-dce1f415d85b', 'a26e57c9-1cb8-4fca-ba80-9e02abc81df8', '67d6e882-b60c-40d3-975c-a6d7a2b4e40a', '6aa1cd8e-e528-4bcb-ba8e-705b6dcb7da2', '33e0bce0-13df-4ffc-be9d-f1a79e795e1c', 'd9289367-c8aa-4b6a-b1ad-857fec94c6bb', 'b3492c68-8373-4769-9b29-22f66635a478', '44f7e955-c97d-45c8-9ed7-19406806fb4c', 'b02be240-1364-4c97-8bb6-675d7d842332', '6b774802-fcb5-49ae-8ecb-ecaf1a278b1c', 'b6c6d5c8-e2d5-4469-8dd8-fa972ef7eaea', '88e972e1-88a0-4eb9-847c-0925e5999a46', '2cb8ae5b-c5c9-4fa8-bac0-bb724f2754f4', '57090802-c51a-4d09-8340-b4453cd0e1f5', '844a620f-f3b8-4b6b-8e3c-783ae2aa232a', 'd28e7ed1-3317-41c5-bec6-725369ed1171', 'a37a9aa3-45e9-4d90-9df6-109f3a28a5af', '665be0fe-5e38-43f6-8b04-02a93bdbeeb4', '0309cd61-90c9-470e-99d4-2ee4fb2c5f84', '1d26e504-7f9e-480a-b52c-5932be6549ab', '550eb7e9-172e-48e4-ae1e-d1b761b42223', '2ff6379d-d168-4022-8da0-16846d45ef9b', 'd6dc44d1-63ac-4871-b175-60ac4040069a', '4c7d796a-39f2-4f26-97a9-3aad01713e29', '5735892a-ec65-4b29-97c5-50939aa9584e', 'b45359df-c020-4314-adb1-d1921db642da', '593647aa-9fea-43ec-a7d6-6476a76ae868', 'a6ee8177-107b-47dd-bcfd-30960ccc6e9c', '8f7e5f92-1153-4f93-acba-ca48670c8ca9', 'c0f51e35-d0e8-4318-afaf-c5fcbc29f4c1', 'f33c3cc9-dc4b-4b77-baa9-5a5f10704398', '2f025389-fac8-4557-94d3-7d0428878c86', '9598e4cb-0849-401e-bba0-689234b27644'.

shiny

logical determing whether columns (section, weight_x, weight_y) relevant for the plotShiny()-function are appended to the resulting WaterLevelDataFrame.

Value

An object of class WaterLevelDataFrame.

References

Busch N, Hammer M (2009). “Einheitliche Grundlage für die Festlegung der Bemessungswasserspiegellagen der Elbe auf der frei fließenden Strecke in Deutschland.” doi:10.5675/bfg-1650 .

HKV Hydrokontor (2014). “Erstellung eines SOBEK-River Modells für den Rhein von Iffezheim bis Pannerdense Kop als Weiterentwicklung bestehender SOBEK-RE Modelle.”

DELTARES (2018). “SOBEK.” https://download.deltares.nl/en/sobek/.

See also

df.flys

Examples 

# waterLevelFlys3InterpolateY
wldf <- WaterLevelDataFrame(river   = "Elbe",
                            time    = as.POSIXct("2016-12-21"),
                            station = seq(257, 263, 0.1))
wldf <- waterLevelFlys3InterpolateY(wldf, "ROSSLAU", w = 137)