This documentation seeks to solve the drought management problem by design of a Drought Early Warning and Management System (DEWMS). The Ministry of Agriculture, under which the Department

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Software development

DROUGHT MANAGEMENT SYSTEM

INTRODUCTION

Historically, more emphasis has been placed on the response component of drought management, with little or no attention to mitigation, preparedness, prediction or monitoring. With the present awareness of the effects of ongoing climate change and global warning, the importance of a meteorological early warning system becomes more apparent. Since drought is a natural calamity, awareness only might not be sufficient to overcome this occurrence hence a system that handles both awareness and management of this disaster upon occurrence is imperative.

Granted that there are numerous ways of combating drought, a well-structured system of integrating all these methodologies is required. Such as system has the advantage of being able to anticipate areas that may cut back on water supply requirements, ability to run more frequent forecasts of the expected water supply and also allow more accurately calibrated forecasts. All these seemingly hectic problems can be easily solved with an integrated computer based system.

This documentation seeks to solve the drought management problem by design of a Drought Early Warning and Management System (DEWMS). The Ministry of Agriculture, under which the Department of Meteorology falls, shall best manage this system. Drought prone areas shall be the primary beneficiaries advisories and warnings generated by the DEWMS. Other areas deemed to need primary drought awareness and response are areas under irrigation whose operations would be gravely affected by prolonged dry weather conditions.

SYSTEM SPECIFICATION

The inherent objective of the envisioned system is to manage and co-ordinate all government efforts in drought preparedness and awareness and subsequent disaster responses. In the process, other secondary objectives such as provision of data for research or educational purposes and employment creation for information technology analysts shall be realized.

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The system’s course-grain functional requirements shall invariably centre on a well-structured hierarchical database, decentralised independent sub-systems and a central controller system. All sub-systems shall invariably exhibit certain characteristics as real-time performance, reliability and efficiency hence the utmost care shall be taken in procurement of supporting hardware and operating system platforms. The system’s ambient environment shall be a Linux platform for system dependability and efficiency, and seamless integration with the communication system. On the flipside, data redundancy and replication, unnecessary straining of the system controller and general system overloads shall be meticulously avoided.

Data mining in various forms shall be carried ...

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