08 ValidationRulesets

Validation rules are defined in DELFT-FEWS to allow quality checking of all time series data (scalar time series only). Several validation criteria may be defined per time series. All validation rules for all time series are defined in this configuration. For each time series to be checked, a set of validation rules is defined. Defining validation rules to apply to a time series set using a locationSet rather than identifying series individually can simplify the configuration greatly. Most validation rules may be defined either as a constant value, or as a value valid per calendar month.

When available on the file system, the name of the XML file for configuring the Validation Rule Sets is for example:

ValidationRuleSets 1.00 default.xml

ValidationRuleSets                   Fixed file name for the Validation rules configuration

1.00                                            Version number

default                                       Flag to indicate the version is the default configuration (otherwise omitted).

Figure 33 Elements of the ValidationRuleSets configuration.

validationRuleSet

Root element of the definition of a validation rule set. Multiple entries may exist.

Attributes;

• validationRuleSetId: Optional reference ID for the validation rule set. Used only in messaging.
• timeZone: Shift (in hours) of the time zone to be used in considering time values in validation.

logLevel

Optional log level for the log message that is logged if a time series violates a rule in this validationRuleSet. Can be WARN, INFO or DEBUG. Default is WARN.

unit

Specify when the unit given for the values is not the same as the (internally stored) unit of the parameter it applies to. When specified it is required to also specify configUnitConversionsId in Parameters.xml. The conversion from the specified unit to the (internal) unit should be available in the unit conversions config file.

timeSeriesSet

Definition of the time series to apply validation rule to.

extremeValues

Validation rules defined to check for extreme values (hard and soft limits)

rateOfChange

Validation rules defined to check rate of change. Please note the units are per second i.e. 2m in 15mins is 0.00222.

sameReading

Validation rules defined to check for series of same readings.

temporaryShift

Validation rules defined to check for temporary shifts in time series.

extremeValuesFunctions, rateOfChangeFunctions, sameReadingFunctions, temporaryShiftFunctions

These function have to do with Shape-DBF file configuration. See here

Location dependency

For extremeValues, rateOfChange, sameReading and temporaryShift a locationId can be given to make the rule location specific. Before 2014.02 this functionality was used to make multiple location-specific rules of the same type within a single validationRuleSet.

From 2014.02 on multiple rules of the same type within a single validationRuleSet can be given to apply to all locations within the timeSeriesSet instead of them to be location specific. Also from 2014.02 on multiple rateOfChangeFunctions, sameReadingFunctions and temporaryShiftFunctions can be used within the same validation rule set.

Validation on extreme values

This group of validation rules checks that the values in the time series do not exceed minimum and maximum limits. These limits may be defined as soft limits or as hard limits. Values exceeding soft limits will be marked as doubtful but retained. Values exceeding hard limits will be marked as unreliable.

Figure 34 Elements of the Extreme values configuration of the ValidationRuleSets.

hardMax

Validation rule for checking hard maximum. Values exceeding this limit will be marked as unreliable.

Attributes;

• constantValue: Value of hardMax limit, used irrespective of time of value.

hardMin

Validation rule for checking hard minimum. Values exceeding this limit will be marked as unreliable.

Attributes;

• constantValue: Value of hardMin limit, used irrespective of time of value.

softMax

Validation rule for checking soft maximum. Values exceeding this limit will be marked as doubtful.

Attributes;

• constantValue: Value of softMax limit, used irrespective of time of value.

softMin

Validation rule for checking soft minimum. Values exceeding this limit will be marked as doubtful.

Attributes;

• constantValue: Value of softMin limit, used irrespective of time of value.

monthLimit

Element used when defining variable limits per calendar month. Twelve values must be defined. When defined the monthly limit will overrule the constant limit.

Validation on rate of change

This group of validation rules checks that the values in the time series do not exceed maximum rates of change. When the rate of change limit is exceeded, the values causing the limit to be exceeded will be marked as unreliable. Rate of change limits may be defined to be the same for the rate of rise as for the rate of fall. These may also be defined to be different. The rates need to be specified in the unit of the timeseries it applies per second. E.g. if you define a rate of change for a water level gauge with values in metres the rate should be given in metres per second.

Figure 35 Elements of the rate of change configuration of the ValidationRuleSets.

rateofRiseFallDifferent

Root element used if the rate of rise limit is defined different to the rate of fall.

rateOfRise

Validation rule defined for the rate of rise.

Attributes;

• constantValue: Maximum rate of rise, used irrespective of date of the value. []

rateOfFall

Validation rule defined for the rate of fall.

Attributes;

• constantValue: Maximum rate of fall, used irrespective of date of the value. []

monthLimit

Element used when defining variable limits per calendar month. Twelve values must be defined. When defined the monthly limit will overrule the constant limit.

Validation on series of same readings

Time series of data can be validated on series of same readings. This may be unlikely for field observations, and may indicate an instrumental error. In some cases a small variability may still be observed, despite instrumental error. The same readings check allows for defining a bandwidth within the value is considered to be the same.

Figure 36 Elements of the same reading configuration of the ValidationRuleSets.

sameReadingDeviation

Root element for definition of bandwidth the value may vary within if it is considered to the same reading. The bandwidth is twice the deviation.

Attributes;

• constantValue: Value for deviation, used irrespective of date of the value.

sameReadingPeriod

Root element for definition of time span limit the value may remain the same to be considered realistic. If the reading remains the same for a longer period of time, ensuing values will be considered unreliable.

Attributes;

• constantValue: Value for time span in seconds, used irrespective of date of the value.

monthLimit

Element used when defining variable limits per calendar month. Twelve values must be defined. When defined the monthly limit will overrule the constant limit.

Validation on Temporary Shifts

Time series of data can be validated on temporary shifts. These occur when instruments are reset, and can be identified by the values rapidly falling to a constant value, remaining at that value for a short period of time and then returning to the original value range. A complex set of validation criteria include the rate of change as well as a maximum time the value remains the same.

Figure 37 Elements of the temporary shift configuration of the ValidationRuleSets.

rateOfTemporaryShift

Rate of change that must be exceeded both on change to shifted value and change back to original value range for validation rule to apply.

Attributes;

• constantValue: Value for rate of change, used irrespective of date of the value.

temporaryShiftPeriod

Maximum time span constant shifted value is in time series for validation rule to apply.

Attributes;

• constantValue: Value for time span in seconds, used irrespective of date of the value.

monthLimit

Element used when defining variable limits per calendar month. Twelve values must be defined. When defined the monthly limit will overrule the constant limit.

flagSources

Since version 2012.01 FEWS stores not only the quality flags, but also the source of the flag, the so-called flagSource. So the user is able to see why a certain value is validated as unreliable, eg. due to exceeding of the hard max.
The list of flagSources is:

• IMP: flag is imported
• SN: soft min.
• HN: hard min.
• SX: soft max.
• HX: hard max.
• ROR: rate of rise
• ROF: rate of fall
• SR: same reading
• TS: temporary shift
• SC: secundairy validation, series comparison
• FC: secundairy validation, flag comparison
• KT: secundairy validation, Mann-Kendall test
• MAN: manual edit

Example for "Rate of Rise" and "Temporary Shift" validation rules

Examples of validation rules

Example for "Rate of Rise" and "Temporary Shift" validation rules