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<br />$ <br />i <br />, <br />~ <br />, <br />~ <br />1:. <br />:{ <br />~, <br />~ <br />~. <br />~, <br />i: <br />" <br />~ <br /> <br />INTEGRATED FLOOD RISK MANAGEMENT <br /> <br />Kenneth R. DePodesta, p.Enq. <br />Peter Nimmrichter, M.Enq., P.E:nq. <br /> <br />Abstract <br /> <br />* <br /> <br />In recent years there has been a paradigm shift from dealing with <br />development issues from a piece meal approach t.O a holistic one or <br />ecosystem approach. Development pressures are increasingly focused <br />in areas on environmental, political and economic significance. To <br />facilitate effective and meaningful evalua'tion of potential <br />development in these areas data management :lnust be efficient, <br />consistent and complete. The varied sources of information forming <br />the database for investigations may consist of; <br /> <br />f. <br />~ <br />? <br />~,. <br /> <br />r <br /> <br />!'1'. <br /> <br />t <br />t <br />, <br />~ <br /> <br />p'aper maps/drawings * <br />flood erosion data * <br />public comment * <br /> <br />* digital base mapping at various scales <br />* previous reports/documents/letters <br />* 35 mm type photographs/air photography <br />* hydrologic/hydrogeologic/hydraulic data <br />* development plans presen"t/future land uses * <br />* environmental data parc,el/assessment data * <br /> <br />This supply of, sometimes seemingly disparate:, information will <br />form the basis from which evaluations will proceed and this <br />information with additional data gathered throughout the study <br />process will ultimately provide solution(s) to the known <br />problem (s) . Traditionally, study team members .Tould be required to <br />review the base'information and utilize the data in their analyses. <br />The present difficulty with this approach is the voluminous <br />quantities of data which now confront the study team, which may be <br />made up of planner, hydrogeologists, 'terrestrial/aquatic <br />professionals, engineers, governmental agencies, and municipal <br />staff. All of the data must be assimilated and assessments of the <br />possible inter-relationships of the known information must be made. <br />There exists the potential for use of incomplete data or different <br />base data by various team groups leading to uncommon understandings <br />of the problems. <br /> <br />, <br />! <br />~ <br /> <br />~ <br /> <br />" <br />f' <br /> <br />~ <br /> <br />a <br />