China＇s　water　resources　are　becoming　increasingly　tense.　In　order　to　support　the　sustainable　development　of　limited　water　resources,　it　is　necessary　to　improve　the　research　on　water　resource　allocation.　Based　on　the　domestic　and　foreign　research　on　the　optimal　allocation　of　agricultural　water　resources,　combined　with　the　actual　needs　of　the　city,　the　optimal　POS　algorithm　is　used　to　optimize　the　allocation　of　urban　water　resources,　and　an　optimal　water　resource　allocation　model　is　created.　This　paper　describes　the　optimal　POS　algorithm,　and　on　this　basis,　the　optimal　POS　algorithm　is　applied　to　the　characteristics　and　complexity　of　optimal　water　resources　decision-making.　In　this　paper,　the　POS　optimization　algorithm　is　used　to　solve　the　problem.　Obtain　the　results　of　urban　water　resource　allocation　with　different　guarantee　rates　in　2024　and　2030,　conduct　rational　analysis　in　combination　with　the　future　water　supply　situation,　and　give　corresponding　suggestions.　Experimental　research　shows　that　by　2027,　the　city＇s　industrial　water　recycling　rate　will　increase　from　34%　to　over　60%.　By　2030,　the　city＇s　industrial　water　recycling　rate　will　increase　to　over　82%.　　©　2023　IEEE.