In　this　study,　an　integrated　framework　is　proposed　for　agricultural　water　and　land　resources　management　under　uncertain　circumstances　and　energy-water　nexus.　The　framework　has　two　components:　the　optimized　interval　solutions　generation　of　unknown　market　quotation　and　environment　situation　through　the　novel　interval　fuzzyexpectation　programming,　and　the　post-optimization　decision-making　of　the　tradeoff　between　system　risk　and　return　through　risk-explicit　interval　programming.　An　optimization　model　based　on　the　framework　was　developed　from　a　real　description　for　agricultural　water　resources　system　of　Guangdong　province　under　considering　various　crop,　multiple　water　sources,　and　the　related　energy　consumption　in　irrigation　and　drainage.　The　impact　of　energy　consumption　and　risk　level　control　on　water　resources　allocation　among　different　crops　and　system　benefits　were　analyzed.　The　results　indicated　that　the　preference　for　surface　water　resources　as　the　main　water　sources　can　effectively　reduce　regional　irrigation　energy　consumption,　and　the　planting　area　of　each　crop　would　have　different　variations　duo　to　resources　endowment　constraints.　Risk　tradeoff-based　results　can　provide　valuable　information　and　additional　concern　for　developing　low　carbon-oriented　agricultural　water　resources　management　schemes.