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Evidence Guide: NWPHYD016 - Process and report hydrographic time series data

Student: __________________________________________________

Signature: _________________________________________________

Tips for gathering evidence to demonstrate your skills

The important thing to remember when gathering evidence is that the more evidence the better - that is, the more evidence you gather to demonstrate your skills, the more confident an assessor can be that you have learned the skills not just at one point in time, but are continuing to apply and develop those skills (as opposed to just learning for the test!). Furthermore, one piece of evidence that you collect will not usualy demonstrate all the required criteria for a unit of competency, whereas multiple overlapping pieces of evidence will usually do the trick!

From the Wiki University

 

NWPHYD016 - Process and report hydrographic time series data

What evidence can you provide to prove your understanding of each of the following citeria?

Prepare for collection of data

  1. Identify objectives of time series, client’s data and reporting requirements.
  2. Identify parameters and procedures for collection of hydrometric data.
Identify objectives of time series, client’s data and reporting requirements.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Identify parameters and procedures for collection of hydrometric data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Retrieve time series data

  1. Retrieve and manage data.
  2. Reset data logger.
  3. Apply and record field verification checks.
  4. Complete field documentation.
Retrieve and manage data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Reset data logger.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Apply and record field verification checks.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Complete field documentation.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Verify hydrometric data

  1. Prepare working copy of data.
  2. Select data to be verified.
  3. Use standard processes, software, mathematical and scientific techniques to check, edit, verify, adjust and qualify data.
  4. Review and apply verification information and additional (backup time series) data sets to time series data and identify proposed adjustments to data.
  5. Use historical data, nearby sites and related parameters to validate data, identify data irregularities and ensure data integrity.
  6. Estimate failed periods required by client.
  7. Document checks and adjustments.
  8. Archive raw and/or processed data.
Prepare working copy of data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Select data to be verified.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use standard processes, software, mathematical and scientific techniques to check, edit, verify, adjust and qualify data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Review and apply verification information and additional (backup time series) data sets to time series data and identify proposed adjustments to data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use historical data, nearby sites and related parameters to validate data, identify data irregularities and ensure data integrity.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Estimate failed periods required by client.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Document checks and adjustments.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Archive raw and/or processed data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Prepare reports

  1. Prepare standard reports to check integrity of verified data.
  2. Prepare client specific reports.
  3. Prepare verified data, documentation and reports for authorisation.
  4. File authorised information.
Prepare standard reports to check integrity of verified data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Prepare client specific reports.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Prepare verified data, documentation and reports for authorisation.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

File authorised information.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Prepare for collection of data

  1. Identify objectives of time series, client’s data and reporting requirements.
  2. Identify parameters and procedures for collection of hydrometric data.
Identify objectives of time series, client’s data and reporting requirements.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Identify parameters and procedures for collection of hydrometric data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Retrieve time series data

  1. Retrieve and manage data.
  2. Reset data logger.
  3. Apply and record field verification checks.
  4. Complete field documentation.
Retrieve and manage data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Reset data logger.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Apply and record field verification checks.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Complete field documentation.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Verify hydrometric data

  1. Prepare working copy of data.
  2. Select data to be verified.
  3. Use standard processes, software, mathematical and scientific techniques to check, edit, verify, adjust and qualify data.
  4. Review and apply verification information and additional (backup time series) data sets to time series data and identify proposed adjustments to data.
  5. Use historical data, nearby sites and related parameters to validate data, identify data irregularities and ensure data integrity.
  6. Estimate failed periods required by client.
  7. Document checks and adjustments.
  8. Archive raw and/or processed data.
Prepare working copy of data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Select data to be verified.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use standard processes, software, mathematical and scientific techniques to check, edit, verify, adjust and qualify data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Review and apply verification information and additional (backup time series) data sets to time series data and identify proposed adjustments to data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Use historical data, nearby sites and related parameters to validate data, identify data irregularities and ensure data integrity.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Estimate failed periods required by client.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Document checks and adjustments.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Archive raw and/or processed data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Prepare reports

  1. Prepare standard reports to check integrity of verified data.
  2. Prepare client specific reports.
  3. Prepare verified data, documentation and reports for authorisation.
  4. File authorised information.
Prepare standard reports to check integrity of verified data.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Prepare client specific reports.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Prepare verified data, documentation and reports for authorisation.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

File authorised information.

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Assessed

Teacher: ___________________________________ Date: _________

Signature: ________________________________________________

Comments:

 

 

 

 

 

 

 

 

Instructions to Assessors

Evidence Guide

ELEMENTS

PERFORMANCE CRITERIA

Elements describe the essential outcomes

Performance criteria describe the performance needed to demonstrate achievement of the element. Where bold italicised text is used, further information is detailed in the range of conditions section.

1. Prepare for collection of data

1.1 Identify objectives of time series, client’s data and reporting requirements.

1.2 Identify parameters and procedures for collection of hydrometric data.

2. Retrieve time series data

2.1 Retrieve and manage data.

2.2 Reset data logger.

2.3 Apply and record field verification checks.

2.4 Complete field documentation.

3. Verify hydrometric data

3.1 Prepare working copy of data.

3.2 Select data to be verified.

3.3 Use standard processes, software, mathematical and scientific techniques to check, edit, verify, adjust and qualify data.

3.4 Review and apply verification information and additional (backup time series) data sets to time series data and identify proposed adjustments to data.

3.5 Use historical data, nearby sites and related parameters to validate data, identify data irregularities and ensure data integrity.

3.6 Estimate failed periods required by client.

3.7 Document checks and adjustments.

3.8 Archive raw and/or processed data.

4. Prepare reports

4.1 Prepare standard reports to check integrity of verified data.

4.2 Prepare client specific reports.

4.3 Prepare verified data, documentation and reports for authorisation.

4.4 File authorised information.

Required Skills and Knowledge

ELEMENTS

PERFORMANCE CRITERIA

Elements describe the essential outcomes

Performance criteria describe the performance needed to demonstrate achievement of the element. Where bold italicised text is used, further information is detailed in the range of conditions section.

1. Prepare for collection of data

1.1 Identify objectives of time series, client’s data and reporting requirements.

1.2 Identify parameters and procedures for collection of hydrometric data.

2. Retrieve time series data

2.1 Retrieve and manage data.

2.2 Reset data logger.

2.3 Apply and record field verification checks.

2.4 Complete field documentation.

3. Verify hydrometric data

3.1 Prepare working copy of data.

3.2 Select data to be verified.

3.3 Use standard processes, software, mathematical and scientific techniques to check, edit, verify, adjust and qualify data.

3.4 Review and apply verification information and additional (backup time series) data sets to time series data and identify proposed adjustments to data.

3.5 Use historical data, nearby sites and related parameters to validate data, identify data irregularities and ensure data integrity.

3.6 Estimate failed periods required by client.

3.7 Document checks and adjustments.

3.8 Archive raw and/or processed data.

4. Prepare reports

4.1 Prepare standard reports to check integrity of verified data.

4.2 Prepare client specific reports.

4.3 Prepare verified data, documentation and reports for authorisation.

4.4 File authorised information.

Evidence required to demonstrate competence must satisfy all of the requirements of the elements and performance criteria. If not otherwise specified the candidate must demonstrate evidence of performance of the following on at least one occasion.

communicating technical information using communication technology with colleagues, management and clients

assessing the performance and limitations of the monitoring systems and sites employed in monitoring the network/catchment

identifying and assessing the characteristics of hydrographs and pluviometer traces

applying analytical tools for hydrographic data

interpreting and applying technical documentation to the collection, analysis and reporting of hydrographic data

identifying and responding effectively to operational problems

using information and data management computer systems

compiling, analysing, storing, archiving and verifying data

producing hydrographic data reports to support organisational decision making

gathering and interpreting complex documentation and applying it to the specification of hydrographic data collection and reporting procedures

collecting samples

identifying, reporting and resolving potential and actual problems

estimating failed periods required by client, using:

verification of information

historical data

nearby sites and related parameters

copy and paste

applying peak stage level or total stored rainfall checks

estimation using standard processes and software

applying and recording field verification checks including at least one of:

staff gauge reading

well tape check

survey level

peak level indicators

flood marks

rainfall storage and/or calibration check

EC on-site meter reading

groundwater down the casing tape check

Evidence required to demonstrate competence must satisfy all of the requirements of the elements and performance criteria. If not otherwise specified the depth of knowledge demonstrated must be appropriate to the job context of the candidate.

the hydrographic cycle and its impact on the conditions and objectives of hydrographic time series data management

measurement methods for collection and checking continuous hydrographic data in the field

continuous data verification techniques

mathematical and scientific techniques relevant to the analysis of hydrographic data

computer software relevant to the analysis and archiving of hydrographic data

water sampling and testing procedures

policies and standard operating procedures for data analysis