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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. Please note that this validationRule can only be succesfully applied to a value if there is a value at the time step before it as well. Especially when applying this rule to a temporary series that is merged (i.e. including the validation flags) to a permanent series this can lead to unwanted behaviour. The first value of the temporary series can't be validated with this rule, as there exists no value before it, even though there is in fact a value present in the destination series of the merge.
Figure 35 Elements of the rate of change configuration of the ValidationRuleSets.
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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. Please note that this validationRule can only be succesfully applied to a value if there is a value at the time step before it as well. Especially when applying this rule to a temporary series that is merged (i.e. including the validation flags) to a permanent series this can lead to unwanted behaviour. The first value of the temporary series can't be validated with this rule, as there exists no value before it, even though there is in fact a value present in the destination series of the merge.
Figure 36 Elements of the same reading configuration of the ValidationRuleSets.
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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. Please note that this validationRule can only be succesfully applied to a value if there is a value at the time step before it as well (or multiple). Especially when applying this rule to a temporary series that is merged (i.e. including the validation flags) to a permanent series this can lead to unwanted behaviour. The first value of the temporary series can't be validated with this rule, as there exists no value before it, even though there is in fact a value present in the destination series of the merge.
Figure 37 Elements of the temporary shift configuration of the ValidationRuleSets.
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