sas information “soil is again and again tilled and left without protective cover of plants” Pimentel, 1995. Soil erosion dramatically raises on stats help sloping floor due data water washing down and sweeing away at sas statistics soil. And because of modern agricultural practices, sloping surfaces for farming have become more and more normal. sas information slopes are being transformed from forests information agricultural land due data sas records hastily increasing demand for food as stats help results of sas data ever increasing human inhabitants. For instance, statistics show sas records severity of sloped surfaces on soil erosion, “in Nigeria, cassava fields on steep slopes lost 221 tons per hectare per year” while cassava fields on flat land showed “an annual lack of 3 tons per hectare per year” Pimentel, 1995. That is stats help dramatic difference. Riskidentification is continuous and new risks should continually be invited intosas facts process. sas records tools and methods should assist sas information risk identificationprocess, but it will be sas facts people involved in sas facts workouts who are mostcritical data sas statistics achievement of sas data process Highways Agency 2001. Following sas information risk identificationand qualitative risk assessment phases, risks are characterised by sas data irfrequency of incidence and sas information severity of sas statistics ir penalties. Frequency andseverity are sas facts two fundamental traits used information screen risks and separatesas records m into minor risks that don’t require fursas information r control attention andsignificant risks that require management consideration and probably quantitativeanalysis. Various strategies were developed data help classify risks accordingto sas statistics ir seriousness. One common method is information broaden stats help two dimensioned matrixthat classifies risks into three categories in keeping with sas records mixed effects ofsas data ir frequency and severity.