Mathematical Modeling for Water Quality Management under Interval and Fuzzy Uncertainties

Table 2

Crop yields and net benefits.

	Agricultural zone
	AZ1	AZ2	AZ3	AZ4
Yields (t/ha)
Citrus	[10.3, 12.6]	[9.8, 11.9]	[8.4, 10.2]	[9.2, 11.2]
Tea	[0.1, 0.2]	[0.1, 0.2]	[0.3, 0.6]	[0.2, 0.4]
Wheat	[1.4, 2.1]	[1.3, 1.7]	[1.2, 2.5]	[2.3, 3.1]
Potato	[2.4, 3.2]	[2.0, 2.8]	[1.9, 2.8]	[2.8, 3.8]
Rapeseed	[1.6, 1.7]	[1.3, 1.5]	[1.3, 1.7]	[1.7, 1.8]
Alpine rice	[6.9, 9.6]	[6.7, 7.9]	[4.4, 6.6]	[5.7, 7.0]
Second rice	[7.4, 10.2]	[7.3, 8.5]	[4.7, 7.0]	[6.2, 7.4]
Maize	[2.9, 3.9]	[2.7, 2.9]	[2.5, 2.6]	[4.0, 4.7]
Vegetable	[21.6, 24.0]	[10.4, 13.4]	[21.8, 24.2]	[26.2, 29.1]
Net benefits (RMB¥/t)
Citrus	[1082, 1350]	[1010, 1260]	[1126, 1405]	[1203, 1502]
Tea	[18000, 18900]	[19125, 20081]	[20170, 21178]	[22500, 23625]
Wheat	[1031, 1242]	[972, 1169]	[945, 1134]	[1010, 1218]
Potato	[915, 1001]	[827, 897]	[893, 969]	[846, 917]
Rapeseed	[2435, 2934]	[2191, 2640]	[2305, 2778]	[2490, 3000]
Alpine rice	[1105, 1214]	[1047, 1153]	[1084, 1178]	[1149, 1265]
Second rice	[1159, 1274]	[1098, 1209]	[1137, 1236]	[1205, 1327]
Maize	[1295, 1451]	[1267, 1422]	[1230, 1378]	[1308, 1467]
Vegetable	[2360, 2691]	[1613, 1865]	[1927, 2197]	[1845, 1950]