MEASUREMENT AND SPATIAL-TEMPORAL VARIATION OF AGRICULTURAL GREY WATER FOOTPRINT IN CHINA
Scientific evaluation of agricultural water environmental pollution in China is directly related to sustainable utilization of water resources and green development of agriculture.In this manuscript,the agricultural grey water footprint of 31 provinces(municipalities,autonomous regions)in China from 1997 to 2020 was comprehensively calculated,including planting,animal and aquaculture industry.In addition,the exploratory spatial data analysis method was used to reveal the temporal and spatial characteristics,and the path analysis method was used to analyze its influencing factors.The results showed that:Taking 2014 as the boundary,China's agricultural grey water footprint increased first and then decreased.The agricultural grey water footprint of Central China was the highest,while the Northwest region was the lowest,the gap of Eastern China was the largest,and the gap of Northeast region was small.Furthermore,the agricultural grey water footprint of Shanghai and Beijing was low and showed a decreasing trend,while the agricultural grey water footprint of Henan and Shandong was higher and showed an increasing trend.In terms of spatial characteristics,China's agricultural grey water footprint was generally dominated by H-H and L-H type.From 1997 to 2020,the most common leap type of China's agricultural grey water footprint was Ⅳ,and the spatial cohesion has been kept at 70.97%,indicated that its spatial structure changes had obvious path-dependent characteristics.Food production was the common factor affecting the spatial and temporal variation of the agricultural grey water footprint.Based on the results,this manuscript suggests that each region should be based on regional resource endowment,optimize the layout of agricultural production and adjust the agricultural planting structure reasonably,and maximize the efficiency of grain output.Moderate control the size of the population,improve the quality of the population.Continue to reduce the amount of chemical fertilizers and pesticides and increase their effectiveness,and strengthen the control of pollution from non-point agricultural sources.
agricultural grey water footprintspatial-temporal evolutioninfluence pathspatial autocorrelationpathway analysisChina
NETL
NSTL
万方数据
维普
