Drainage research is the study of agricultural drainage systems and their effects to arrive at optimal system design.
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Agricultural land drainage has agricultural, environmental, engineering, economical, social and socio-political aspects (Figure 1). Drainage is the natural or artificial removal of surface and sub-surface water from a given area Agriculture refers to the production of goods through the growing of plants and fungi and the raising of domesticated Animals The study of agriculture See also Nature The natural environment, commonly referred to simply as the environment, is a terminology that is comprised of all living and Engineering is the Discipline and Profession of applying technical and scientific Knowledge and An economy is the realized social system of production exchange distribution and consumption of goods and services of a country or other area Definition In the absence of agreement about its meaning the term "social" is used in many different senses referring among other things to attitudes Politics Politics is the process by which groups of people make decisions
All these aspects can be subject of drainage research.
The aim (objective, target) of agricultural land drainage is the optimized agricultural production related to:
The role of targets, criterion, environmental and environmental factors is illustrated in Figure 2.
In this figure criterion factors are factors influenced by drainage on the one hand and determining the agricultural performance on the other.
An example of a criterion factor is the depth of the water table:
The underlying processes in the optimization insert of Figure 2 are manyfold. The processes can be grouped into mutually dependent soil physical, soil chemical/biological, and hydrological processes (Figure 3). Soil physics is the study of soil physical properties and processes Soil chemistry studies the chemical characteristics of soil Soil chemistry is affected by mineral composition organic matter and environmental factors Hydrology (from Greek Yδωρ hudōr, "water" and λόγος logos, "study" is the study of the movement distribution and quality of
The soil physical processes include soil aeration, soil structure, soil stability, and soil temperature. Aeration is the Process by which Air is circulated through mixed with or dissolved in a Liquid or substance Soil structure is determined by how individual soil Granules clump or bind together and aggregate and therefore the arrangement of soil pores between them Temperature is a physical property of a system that underlies the common notions of hot and cold something that is hotter generally has the greater temperature
The chemical processes include soil salinity, soil acidity and soil alkalinity. Soil salinity is the salt content in the soil Salt affected soils are caused by excess accumulation of salts typically most pronounced at the soil surface Acid sulfate soils are naturally occurring soils sediments or organic substrates (e Alkali or alkaline soils are Clay Soils with a relatively high exchangeable sodium percentage a relative high PH (> 9 a poor soil structure and a low
The hydrological processes include evaporation, runoff, and soil salinity. Evaporation is the process by which Molecules in a Liquid state (e RUNOFF was the first Computer Text formatting program to see significant use Soil salinity is the salt content in the soil Salt affected soils are caused by excess accumulation of salts typically most pronounced at the soil surface
Examples of processes can be found in R. J. Oosterbaan, 1994 [1] .
In drainage research the collection and analysis of field data is important (R. J. Oosterbaan, 2002 [2] . )
In dealing with field data one must expect considerable random variation owing to the large number of natural processes involved and the large variability of plant and soil properties and hydrological conditions. A random variable is a rigorously defined mathematical entity used mainly to describe Chance and Probability in a mathematical way
An example of a relation between crop yield and depth of water table subject to random natural variation is shown in the attached graph. The graph was made with the SegReg program, see segmented regression. Segmented regression is a method in Regression analysis in which the Independent variable is partitioned into intervals and a separate line segment is fit to each
When analysing field data with random variation a proper application of statistical principles like in regression and frequency analysis is necessary. Statistics is a mathematical science pertaining to the collection analysis interpretation or explanation and presentation of Data. In statistics regression analysis is a collective name for techniques for the modeling and analysis of numerical data consisting of values of a Dependent variable (response In Cryptanalysis, frequency analysis is the study of the frequency of letters or groups of letters in a Ciphertext.