Following the International Organization for Standardization (ISO)’s guidelines [
27], this study performed a process-based LCA for comparing the life cycle impacts of crop systems with reclaimed water and ground water as irrigation sources. As defined by the ISO 14040 series, LCA is an iterative four-stage process: (1) goal and scope definition identifies the extent of analysis and the system boundaries, (2) life cycle inventory analysis documents material and energy flows which occur within the system boundaries, (3) life cycle impact assessment characterizes and assesses the environmental effects using the data obtained from the inventory, and (4) life cycle interpretation determines the level of confidence in the life cycle inventory and life cycle impact assessment results, and recommends environmentally preferred solutions or improvement strategies. Each step of the LCA study is described below.
2.1. Goal and Scope
The goal of this study was to compare life cycle environmental impacts of crop systems irrigated with groundwater and reclaimed water. The crop system irrigated by groundwater and reclaimed water in the agricultural experimental station at the Tongliao City of Inner Mongolia Province in China was used as a representative case study.
Figure 1 depicts the location of the agricultural experimental station. Based on the latest survey, approximately 600 hectares of farmland in Tongliao City are utilizing reclaimed water for irrigation [
28,
29]. Tongliao City lies in the semi-arid grassland zone of the north temperate zone and has a continental monsoon climate with a mean annual temperature of five degrees Celsius. Tongliao City experiences an annual water deficit of 350 mm due to evaporation exceeding precipitation. The dominate vegetation species in Tongliao include corn, wheat and soybean. Groundwater is the primary irrigation source, accounting for 85% of the total irrigation water in Tongliao City. With the continuous decline of groundwater reserves, at least two million hectares of farmland in Tongliao City are facing water shortage [
28,
30]. The local and regional stakeholders are actively considering expanding the reclaimed water program in order to solve this irrigation challenge.
The agricultural experimentation station in Tongliao grows corn, soybean and wheat, with a total area of 1800 m
2. The soil properties of the experimental station are summarized in
Table 1. The numbers reported in
Table 1 reflect the average values of six soil samples including three soil samples from the groundwater irrigated plot and three soil samples from groundwater irrigated plot. Two independent irrigation systems corresponding to the groundwater and reclaimed water were installed. While the groundwater for irrigation was obtained from the on-site groundwater well, the reclaimed water was transported via a brick channel from the adjacent wastewater treatment plant and stored in a pond. The wastewater treatment plant employs anaeroic-anoxic-oxic biological processes and chlorine disinfection, prior to the discharge. The water quality of groundwater and reclaimed water is described in
Table 2. After discharge, the reclaimed water was pumped from the storage pond to a mixing well, where the nitrogen, phosphorus and potassium fertilizers were added and mixed with the reclaimed water. Similarly, the groundwater was pumped from the groundwater well to another mixing well, where the fertilizers were added. After mixing with fertilizers, the irrigation water was pumped to the corresponding experimental plots via plastic pipes. The total nutrient application rates were the same for the reclaimed wastewater and groundwater irrigated plots. The synthetic fertilizer was the only exogenous nutrient source for ground water irrigated plots. The nutrients for the reclaimed water plots originated from both synthetic fertilizer and reclaimed wastewater.
The scope of this cradle-to-farm LCA considered both on-field and supply chain activities for growing corn, soybean and wheat. Shown in
Figure 2, the on-field activities were comprised of farming equipment operation for planting seeds, tillage, applying agrochemicals, harvesting; irrigation with groundwater or treated wastewater; and agrochemical transportation. Moreover, supply-chain activities consisted of agrochemical production and their upstream material, energy and infrastructure needs. The atmospheric, aqueous, and soil emissions of both on-field and supply-chain activities were calculated. The wastewater treatment plant was not included in the system boundary, because 1) this study primarily focused on crop systems, and 2) the wastewater treatment plant was operated, no matter if its discharge was used for irrigation [
17].
The functional unit aims to provide a reference level for comparison. We used 1 kg of grain as the functional unit to compare environmental impacts of crop systems in this study. Mass-based functional units have also been used in previous agriculture LCA studies [
31]. All energy consumption, material use, and associated emissions were allocated 100% to the grains, since the grains are the only final product.
The combination of experimental measurements and modeling approaches was used to compile the on-field environmental emission inventory. The agrochemical application rates and irrigation volumes for corn, soybean and wheat reflected the actual field experimentation values.
Table 3 reports nutrient application rates and irrigation volumes for corn, soybean and wheat systems. The electricity consumption of pumping groundwater and reclaimed water was recorded at the experimental station. The electricity consumption for pumping ground water and reclaimed water was approximately 0.015 kwh/m
3 and 0.004 kwh/m
3, respectively. The heavy metal releases to the soil compartment were measured in the lab. The testing procedures and results of heavy metal releases were reported in existing publications [
28,
29,
30]. The GHGs from soil were determined using the emission factor approach developed by the Intergovernmental Panel on Climate Change (IPCC) [
32]. The agrochemicals were transported via a truck for approximately 30 km. The GHGs and criteria pollutants for transporting agrochemicals from the regional retail store to the experimental site was calculated by greenhouse gases, regulated emissions and energy use in transportation (GREET) model [
33]. The GREET model was developed by the US Department of Energy, and widely used for estimating air pollutants of energy and transportation processes. The GREET.net tool (2016 version) was used in this study. The on-field nutrient emissions, including NO
3− and PO
43− to the water compartment, were estimated by the previously developed emission factor model, which was tailored for calculating on-field aqueous nutrient emissions from corn, soybean and wheat [
34]. The pesticide releases were calculated based on PestLCI model [
35]. PestLCI model is a modular model capable of estimating the pesticide releases to air, surface water and groundwater compartments, based on pesticides’ physiochemical properties, weather, soil and crop information. The physiochemical properties of paraquat, rotenone, and chlorpyrifos were obtained from the hazardous substance data bank [
36]. The weather information was obtained from the China Meteorological Data Service Center [
37]. The soil information is provided in
Table 1. In addition, approximately 28 liters of diesel/hectare was used by a tractor for tillage, agrochemical application and harvesting activities. The air pollutants associated with tractor usage were estimated by utilizing the NONROAD model, which was developed by the US Environmental Protection Agency to estimate GHGs and criteria air pollutants from agricultural equipment usage [
38].
To compile life cycle inventory from supply-chain activities, the ecoinvent v3.0 database was used [
39,
40]. For example, agrochemical production processes in ecoinvent v3.0 were used. It is worth noting that we have modified the electricity mix embedded in fertilizers and pesticides manufacturing processes in the ecoinvent database to represent the local condition. According to a recent report, authored by the Energy Information Administration [
41], the average China electricity mix consists of 71% of coal, 19% of petroleum, 6% of hydropower, 3% of natural gas and 1% of others.
Table 4 summarized the data sources for the life cycle inventory.