CIVL3431 - Land Surface Processes and Management - Kc ET Approach - Penman Monteith Method - Civil Engineering Assignment Help

CIVL3431 - Land Surface Processes and Management -  Civil Engineering Assignment Help

Assignment Task:

This assignment is to determine the crop water requirement using the 'Kc - ETo' approach and construct an irrigation scheduling routine based on a well?known water balance framework.

In the 'Kc?ETo' approach, described in detail by the United Nations Food and Agriculture Organisation Paper 56 (FAO56), differences in the crop canopy and aerodynamic resistance relative to the reference crop are accounted for within the crop coefficient. The Kc coefficient serves as an aggregation of the physical and physiological differences between crops. We will use the approach that integrates the relationships between evapotranspiration of the crop and the reference surface into a single Kc coefficient and the Penman?Monteith method to estimate the reference evapotranspiration and determine the crop water requirement (i.e. actual ET).

Based on the water balance approach, you are asked to estimate the amount of water deficit and hence the amount of irrigation needed to support the crop growth.

A time series of irrigation data measured daily is provided as a validation dataset with your developed irrigation method.

Part 1:

Your task is to use the framework set out in the FAO56 document to conduct an irrigation scheduling routine over an almond orchard in South Australia.

The required meteorological data has been downloaded from SILO and is supplied.

SILO is a database of Australian climate data from 1889 to the present. Details on SILO climate 

The tabulated Kc values for South Australia are supplied.

Estimate crop water use, work out the water deficit created to support for the growth (i.e. irrigation water depth), considering effective precipitation and the water balance equation, and estimate the irrigation water depth. Then quantify errors between estimated irrigation water uses and delivered (field reported) water uses.
 

Part 2:

Now perform the same calculations as above but using a remote sensing-based approach to calculate a Kc and quantify the errors between estimated and observed irrigation water uses. This is based on the Normalised Difference Vegetation Index (NDVI), a time series for each farm is provided.

The time series comes from Landsat 5, 7 and 8 satellites and has been compiled together. To convert this to a Kc value you should use the following equation:

 Kc=1.37* NDVI - 0.086 

This relationship is derived from previous studies relating to NDVI and Kc over a variety of crops. It is currently used in a remote sensing cloud-based irrigation scheduling tool called IrriSAT.

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