From the results in Sections 3.2.1 and 3.2.2, the WEA scheme can reduce LCCO2 emissions in a wide range of geographical conditions even if 0% of the PV electricity is supplied as electricity as it is. However, in geographies distant from the ocean and at higher elevations, LCCO2 emissions might increase no matter how desalination and ammonia synthesis are allocated. For example, the Gobi Desert, which straddles China and Mongolia, is about 2000 km from the sea and is located 1500 m above sea level. Currently, there is not a huge demand for that water or electricity in these areas, but it may become necessary in the future, and thus we examined the desert. 𝐶 was set to 0.80 (kg-CO2/kWh), the average of 0.84 (kg-CO2/kWh) for Mongolia and 0.76 (kg-CO2/kWh) for China. As shown in Fig. , when the electricity supply is set to 0%, no matter how PV electricity is allocated between ammonia synthesis and seawater desalination, LCCO2 emissions are not reduced but rather increase. On the other hand, when 30% of the PV power is supplied as electricity, LCCO2 emissions can be reduced by allocating 30% or more power to desalination. If more than 40% of PV power is provided as electricity, LCCO2 emission decreases regardless of the PV power allocation between ammonia synthesis and seawater desalination. Interestingly, a city at a high elevation and far from the sea is more likely to reduce LCCO2 emissions by allocating a certain amount of PV power between seawater desalination and ammonia synthesis. In Fig. , the most reduction in LCCO2 emissions can be achieved when about 70% of the power is allocated to desalination. This optimum curve appears because of a balance between the large LCCO2 decreasing effect of desalination and the shrink of the transported water amount due to increased PV electricity allocation to ammonia synthesis. defining the rest of PV power as 100%, the horizontal axis is the percentage of PV electricity allocated to desalination, while the remaining is distributed to ammonia synthesis.