A Risk Explicit Interval Linear Programming Model for Uncertainty-Based Environmental Economic Optimization in the Lake Fuxian Watershed, China

Table 2

Constraints in three periods under two scenarios.

	i	Scenario I			Scenario II
		Period I	Period II	Period III	Period I	Period II	Period III
Agriculture (10^4 ha)	1	0.25–0.33	0.22–0.25	0.18–0.22	0.23–0.33	0.19–0.25	0.18–0.22
	2	0.30–0.37	0.20–0.33	0.20–0.23	0.27–0.37	0.19–0.28	0.17–0.23
	3	0.027–0.030	0.013–0.0.023	0	0.027–0.030	0.013–0.023	0
	4	0.03-0.04	0.02-0.03	0.02-0.03	0.03-0.04	0.02-0.03	0.02-0.03
	5	0.00-0.01	0.05–0.10	0.10–0.13	0.00-0.01	0.05–0.10	0.10-0.20
	6	1.94–2.47	2.61–3.47	3.14–4.14	1.61–2.47	2.27–3.47	3.14–4.14
	∑	0.60–0.67	0.57–0.63	0.53–0.60	0.53–0.67	0.50–0.65	0.53–0.60
Livestock husbandry (10^4 no)	7	0.833–0.853	0.673–0.713	0.578–0.623	0.743–0.853	0.583–0.713	0.488–0.623
	8	5.811–6.031	4.811–5.131	4.163–4.531	5.181–6.031	4.081–5.131	3.431–4.531
	9	1.188–1.208	0.968–1.008	0.838–0.908	0.928–1.208	0.708–1.008	0.578–0.908
	10	59.60–59.70	48.50–48.70	42.00–42.40	55.20–59.70	44.50–48.70	38.00–42.40
Output value ($10^6)	Phosphate industry	0	0	0	0	0	0
	Nonphosphate industry	461.5–584.6	615.4–769.2	923.1–1076.9	415.4–584.6	615.4–769.2	923.1–1076.9
	Primary industry	49.2–∞	61.5–∞	80.0–∞	38.5–∞	53.9–∞	69.2–∞
Tourism	(10^4 tourists)	300–350	400–500	500–600	290–350	400–500	500–600
Rural people	(10^4 people)	10.7–12.0	10.0–11.5	8.5–10.0	10.7–12.0	10.0–11.5	8.5–10.0
Environmental carrying capacity (ton)	TN	940.6–994.8	940.6–994.8	940.6–994.8	846.54–895.30	846.54–895.30	846.54–895.30
	TP	115.8–122.67	115.8–122.67	115.8–122.67	104.22–110.40	104.22–110.40	104.22–110.40