Formulating　suitable　policies　is　essential　for　resources　and　environmental　management.　In　this　study,　an　agricultural　pollutants　emission　trading　management　model　driven　by　water　resources　and　pollutants　control　is　developed　to　search　reasonable　policies　for　agricultural　water　resources　allocation　under　multiple　uncertainties.　Random-fuzzy　and　interval　information　in　water　resources　system　that　have　directly　impact　on　the　effectiveness　of　management　schemes　is　reflected　through　interval　two-stage　stochastic　fuzzy-probability　programming.　The　model　was　root　from　regional　agricultural　water　resources　system　in　Jining　City,　China　under　considering　the　relationship　among　effective　precipitation,　crop　water　demand,　and　pollutants　emission.　Two　types　policies　(water　consumption-control　and　pollutants　emission-control)　are　designed　for　searching　the　related　interaction　on　water　resources　management　and　water　quality　improvement.　The　results　indicated　that　water　resources　policies　would　be　of　water　and　environmental　double　benefits,　and　a　large　rainfall　would　reduce　irrigation　amount　from　water　sources　and　lead　to　a　larger　pollutants　emission　trading.　The　results　will　help　for　defining　scientific　and　effective　water　resources　protection　and　management　policies　and　analyzing　the　related　interacted　effects　on　water　consumption,　pollutants　control　and　system　benefit.