Predicting the Water Rebound Effect in China under the Shared Socioeconomic Pathways

Design of Hardware and Software Equipment for Monitoring Selected Operating Parameters of the Irrigator

The aim of this paper was to design a device for monitoring the work of irrigation technology (in our case, irrigation by sprinkler). Two devices for monitoring selected irrigation operating parameters for two hose reel irrigation machines were designed. During the monitored period of connection of the equipment to the sprinkler, 15 irrigation doses were carried out for both sprinklers. Irrigation operating characteristics working pressure, hose reel speed and selected weather conditions temperature and humidity were monitored. When evaluating the results, we proved the need to monitor the operation of the sprinkler not only by the coefficient of variation Cv, but also by introducing the coefficient of non-uniformity a. The results obtained indicate variability with respect to a particular irrigation dose and the applicable assessment method. The results were reviewed by one-way ANOVA analysis where observed coefficients and irrigation dose were considered as dependence factors. The results indicate a statistically significant impact of the applied quality coefficient of work and thus the impact of a particular device (p < 0.05, Fcrit = 2.77). When evaluating the effect of the included irrigation dose, we also showed a statistically significant effect in both facilities (p < 0.05, F = 1.92). By checking the operation of the hose reel irrigation machine, we managed to successfully apply the proposed classifications, which also perform the function of fault prediction. The proposed facilities show that proper plant operation and timely response can help create more efficient and sustainable irrigation services, not only saving water but also reducing costs for the owner.

Evolution and the drivers of water use efficiency in the water-deficient regions: a case study on Ω-shaped Region along the Yellow River, China

Enhancement of water use efficiency (WUE) is considered highly important to cope with the water scarcity challenges in dry regions. Therefore, this study evaluated spatiotemporal characteristics of WUE and its related drivers in the Ω-shaped Region along the Yellow River aiming to provide decision support information for alleviating water shortages in this region. We employed the SBM-DEA (slacks-based measure-data envelopment analysis) model to calculate the WUE considering undesired outputs, analyze temporal and spatial variation based on GIS and statistical methods, and investigate the various factors that influence WUE based on the generalized method of moment (GMM) model. The results are as follows. (1) The WUE followed an increasing-decreasing-increasing trend, suggesting that the expanding agricultural and the second industrial structures are largely dominated by water-intensive activities which add further pressure on the water resources. (2) The spatial discrepancy of WUE among the cities is significant; however, the spatial pattern changes were stable during 2010 to 2019. (3) Analysis of influencing factors provides solutions for improving WUE in the Ω-shaped Region. Irrigation system and water conservancy infrastructure development and the acceleration of industrial transformation are necessary for improving the WUE in the Ω-shaped Region.

Analysis of the Economy-Wide Rebound Effect of Water Efficiency Improvement in China Based on a Multi-Sectoral Computable General Equilibrium Analysis

The effectiveness of water efficiency improvement is restricted by the water rebound effect by which anticipated water resource saving from improved water efficiency may be partly or wholly offset or even surpassed by an increase in water demand. The economy-wide rebound effect of water efficiency improvement in China is poorly understood. This study explored the economy-wide rebound effect of water efficiency improvement in China based on a multi-sectoral computable general equilibrium model. The results suggested that water efficiency improvement could effectively reduce water consumption in producing sectors and benefit economic growth and employment. However, the decrease in water consumption was much lower than the volume of water efficiency improvement, which indicated that the rebound effect partly offset water savings caused by water efficiency improvement. We observed a larger reduction in water consumption in the long run, which indicated a smaller rebound effect and a more significant effect in saving water resources in the long term. Notably, the total rebound effect in the short-run closure was much larger than that in the long-run closure, and the effect from the production side was much smaller. Hence, the economic-wide rebound effect is primarily derived from the incremental water consumption by households, investors, and governments.