• Matching element size of spatial distribution of usage and availability
• Uniform sampling rates of quanta and flux with respect to time
• Equitable standards of accuracy for the collected data.
The types of data required are already discussed in the paras above. All the data
are required to match the above requirements in order to have a simulation setup
which can answer the questions of planning and operational strategies required for a
project at the atomic level and a basin at a macro scale.
It is necessary to note that the data pertaining to resource availability as well as
utilization has many random components. These random components are not
amenable to disaggregation if the time step is longer than desired. Any disaggregation will lead to non-unique distributions within the reported time step and
thereby will lose validity for a deterministic planning exercise. For example, data
reported as 10 daily average will not contain any information about the flash floods,
and such determination will also not be feasible unless the observations are reported
at hourly intervals. Non-consideration of this aspect leads to claims of adequate
rainfall when viewed on a monthly basis, but in reality, the entire rainfall has
occurred within a span of 24 h! These examples are generated almost every year
across the peninsular India.
The spatial resolution of the observed data is also equally important. In India, the
rainfall is generated out of monsoon systems which are having many components of
cyclonic circulation. This leads to intense rain storms in limited areas with the
balance areas not experiencing the same. The denser network will have greater
chance of capturing such intense events whereas the densities have a decreasing
trends with respect to past time periods. This phenomena is specially required to be
understood in case of urban flooding where the spatial extent matching with the
denser developments creates a greater disasters. The planners have to take these
aspects into account.
These aspects are quite important as the water is a common pool resource and is
required to be managed amongst all the stakeholders on a need basis rather than
greed basis.
A common problem that occurs while apportioning water for agricultural uses
out of a project is the tendency to view the availability at an annual scale, whereas
the requirements at the field level are often weekly or 10 daily time steps. This is
especially relevant for the projects who do not have adequate backing of a large
storage at their respective heads from where the entire distribution is managed.
Since the annual availability data does not provide adequate information for the
seasonal variations, the operations of the project are frequently characterized with
mismatch between real-time demands and supplies. Similar is the case even in other
industrial and domestic or power generation areas where the demands often outstrip
the supplies due to variable nature of the inflow patterns within the year. This
situation is encountered in cases where the storage size is not adequate against the
lean season demands. The mismatch can often result in non-utilization of the
allocated quantum especially in monsoon season.
150
A. B. Pandya
• Uniform sampling rates of quanta and flux with respect to time
• Equitable standards of accuracy for the collected data.
The types of data required are already discussed in the paras above. All the data
are required to match the above requirements in order to have a simulation setup
which can answer the questions of planning and operational strategies required for a
project at the atomic level and a basin at a macro scale.
It is necessary to note that the data pertaining to resource availability as well as
utilization has many random components. These random components are not
amenable to disaggregation if the time step is longer than desired. Any disaggregation will lead to non-unique distributions within the reported time step and
thereby will lose validity for a deterministic planning exercise. For example, data
reported as 10 daily average will not contain any information about the flash floods,
and such determination will also not be feasible unless the observations are reported
at hourly intervals. Non-consideration of this aspect leads to claims of adequate
rainfall when viewed on a monthly basis, but in reality, the entire rainfall has
occurred within a span of 24 h! These examples are generated almost every year
across the peninsular India.
The spatial resolution of the observed data is also equally important. In India, the
rainfall is generated out of monsoon systems which are having many components of
cyclonic circulation. This leads to intense rain storms in limited areas with the
balance areas not experiencing the same. The denser network will have greater
chance of capturing such intense events whereas the densities have a decreasing
trends with respect to past time periods. This phenomena is specially required to be
understood in case of urban flooding where the spatial extent matching with the
denser developments creates a greater disasters. The planners have to take these
aspects into account.
These aspects are quite important as the water is a common pool resource and is
required to be managed amongst all the stakeholders on a need basis rather than
greed basis.
A common problem that occurs while apportioning water for agricultural uses
out of a project is the tendency to view the availability at an annual scale, whereas
the requirements at the field level are often weekly or 10 daily time steps. This is
especially relevant for the projects who do not have adequate backing of a large
storage at their respective heads from where the entire distribution is managed.
Since the annual availability data does not provide adequate information for the
seasonal variations, the operations of the project are frequently characterized with
mismatch between real-time demands and supplies. Similar is the case even in other
industrial and domestic or power generation areas where the demands often outstrip
the supplies due to variable nature of the inflow patterns within the year. This
situation is encountered in cases where the storage size is not adequate against the
lean season demands. The mismatch can often result in non-utilization of the
allocated quantum especially in monsoon season.
150
A. B. Pandya