Role of Remote Sensing and GIS inputs in physically based hydrological modelling



Topmodel
The Topmodel is a variable contributing area conceptual model in which the predominant factors determining the formation of runoff are represented by the topography of the basin and a negative exponential law linking the transmissivity of the soil with the vertical distance from the ground level. In this model the total flow is calculated as the sum of two terms: surface runoff and flow in the saturated zone. The surface runoff, in the most recent versions of the model, is in turn the sum of two components, the first generated by infiltration excess and the second, referring to a variable contributing area, by saturation excess. Though a conceptual model, i.e. one in which the physical reality is represented in a simplified manner, the Topmodel is frequently described as being `physically based', in the sense that its parameters can be measured directly in situ (Beven and Kirkby, 1979). This definition is somewhat optimistic, in veiw of the doubts and uncertainties encountered even in defining the parameters of the `physically based models', as already mentioned.

Topmodel performs what is called an `upward search for conceptualisation' from the soil column level to the catchment scale. Basin parameters are related to point estimates. The spatial variability of both soil water content and lateral drainage is related to that of soil and topographic characteristics by means of simple but meaningful assumptions. The model is also attractive because of its structural simplicity and parsimonious parameterisation. The Topmodel is one of the few conceptual models that accounts explicitly for the saturation excess overland flow mechanism and integrates the variable contributing area concept, both of which are essential to model the catchment accurately.

Topmodel represents catchment topography by means of a topographic index, ln(a/tanB), where `a' is the area draining through a grid square per unit length of contour and `tanB' is the average outflow gradient from the square. The index is calculated from a Digital Terrain Map (DTM) across a grid covering the catchment. The grid must be sufficiently fine to resolve important characteristics and slope formations. A high index value usually indicates a wet part of the catchment; this can arise either from a large contributing drainage area or from very flat slopes. Areas with low index values are usually drier, resulting from either steep slope or a small contributing drainage area. Grid squares with the same index values are assumed to behave in a hydrologically similar manner. As a result of this assumption, the catchment's topography may be summarised by the distribution of the index values.

She Model
The Systeme Hydrologique Europeen (SHE), the Institute of Hydrology Distributed Model (IHDM), and the USDAARS small watershed model are the familiar models from this group. Because of their inherent structure these models also make very little use of contour, soil and vegetation maps, or of the increasing body of information in such areas as soil physics and plant physiology. Similarly, much historical information frequently consulted during project planning, for example crop yields over specific periods, survival patterns of particular types of vegetation and characteristics events occurring during floods and droughts, is not used directly. A considerable improvement in project planning could therefore be derived from the integration of such information into the modelling process. These observations do not imply any criticism of conventional rainfall-runoff models in relation to the more traditional applications in which they have clearly been successful, for example real-time flow forecasting and the extension of short stream flow records using longer rainfall records. However, they serve to underline some of the potential which a new approach in hydrological modelling might be able to fulfil. In particular physically-based, distributed models can in principle overcome many of the above deficiencies through their use of parameters which have a physical interpretation and through their representation of spatial variability in the parameter values. (Storm,1989).

Structure of SHE :
SHE has been developed as a fully modular system for mathematical description of the land phase of the hydrological cycle. The system comprises the following models for description of water flows:

  • A one-dimensional interception and evapotranspiration model called the ET component;

  • A two-dimensional overland flow model and one dimensional river/channel flow model called the OC component;

  • A one-dimensional unsaturated zone flow model, called UZ component;

  • A two-dimensional saturated flow (ground water) model, called the SZ component; (a three-dimensional SZ component has recently been developed).

  • A one dimensional snow melt model called the SM component.

  • A two dimensional irrigation model called IR component.

In addition to these water flow components, add-on modules have been/are being developed for :

  • A one-dimensional description of solute transport and chemical processes in the unsaturated zone.

  • A three dimensional description of solute transport and chemical processes in the saturated zone.

  • A description of soil erosion and sediment transport.

  • A description of the transport and fate of radio-nuclear isotopes.

  • A description at a catchment scale of nitrogen transport and processes.
The physical processes considered in the SHE are schematized in Fig.1. Each of the major hydrological processes of water movement (snowmelt, canopy interception, evapotranspiration, overland and channel flow, unsaturated and saturated subsurface flow) is considered. The spatial distribution of catchment parameters, precipitation input and hydrological response is achieved in the horizontal through representation of the catchment by an orthogonal grid network and in the vertical by a column of horizontal layers at each grid square. (Storm, 1989).

Point and Space Scales
The scope of hydrology is best defined by the hydrologic cycle. Depending on the hydrologic problem under consideration, the hydrologic cycle or its components can be traced at different scales of time and space. The global scale is the largest spatial scale and the watershed or drainage basin, the smallest spatial scale. Time scales used in hydrologic studies range from a fraction of an hour to a year or perhaps many years. The physics of the process by which rainfall is separated into surface runoff and infiltration, and further into evaporation and ground water recharge - i.e. the basic processes of the hydrological cycle - is best understood on the point scale.

The basis for operational hydrology is the catchment or river basin, or urban area. The average of the parameters observed on a point scale is not necessarily representative of the conditions of a catchment. Hydrologists are keenly aware that what they observe on a point scale can not be integrated directly into area averages useable for operational hydrology, and that the spatial redistribution of the water cycle components must be considered.

Use of Remotely Sensed Data
The remotely sensed data (aerial photography and satellite imagery) provide spatial information about the processes of the land phase of the hydrological cycle. The land cover maps derived by remote sensing are the basis of hydrologic response units for modelling units. For an understanding of the hydrology of areas with little available data, a better insight into the distribution of the physical characteristics of the catchments is provided by image processing techniques. Some of the new measurement methods (photographic systems, active radar systems etc.) could yield assessment of areal distribution or atleast to some extent reliable areal totals or averages of hydrologic variable such as precipitation, evapotranspiration and soil moisture. Some of the main hydrological application field of remote sensing are:

  1. Spatial rainfall patterns

  2. Evaporation and soil moisture

  3. Snow cover extent

  4. Groundwater

  5. Topography

  6. Water Bodies

  7. Vegetation
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