Energy and water footprints of cereal production in China

用水 农业 环境科学 环境保护 农业经济学 地理 农学 经济 生物 考古
作者
Yijie Zhai,Tianzuo Zhang,Yueyang Bai,Changxing Ji,Xiaotian Ma,Xiaoxu Shen,Jinglan Hong
出处
期刊:Resources Conservation and Recycling [Elsevier BV]
卷期号:164: 105150-105150 被引量:87
标识
DOI:10.1016/j.resconrec.2020.105150
摘要

The growing demand for water, energy, and food caused by rapid population and economy growth, has posed severe challenges worldwide. Considering cereal is one of the vital foods and China is the principal cereal-producing country, this study selected cereal as the center and conducted energy and water footprint analysis of cereal production in China. The production of three main cereals (i.e., wheat, maize, and rice) and their potential environmental footprint in China in the last decade were analyzed, while the spatial variation and key factor in 2017 are explored. Results showed that the correlation between water footprint (i.e., human health and ecosystem quality) and energy footprint (i.e., resources) was strong because fertilizer and diesel production were the key processes for both footprint results. The proportions of the three crops on energy footprint impacts were similar, while the water footprint of rice production was significant higher than that of maize and wheat production. The most serious environmental impacts were congregated in the North China Plain and Northeast Plain. By using decomposition analysis, the agricultural economic effect is found to be the largest driving factor in promoting the growth of environmental burdens during the study period. Effective measures including optimization of plantation structure, transformation of agricultural economy, and implementation of rational agricultural management practices (e.g., scientific fertilization, controlling diesel consumption, and development of water-saving agriculture) are suggested for achieving resource-saving and ecofriendly agricultural development.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
javalin发布了新的文献求助10
2秒前
onmyway完成签到,获得积分10
2秒前
haha发布了新的文献求助10
3秒前
CC完成签到,获得积分10
4秒前
萧萧发布了新的文献求助10
6秒前
fiercecila完成签到,获得积分10
7秒前
zxy完成签到,获得积分10
7秒前
坚定手链完成签到,获得积分10
8秒前
8秒前
nikki完成签到,获得积分20
11秒前
英俊的铭应助醉世采纳,获得10
11秒前
科研通AI6.2应助maizhenpeng采纳,获得10
12秒前
14秒前
大模型应助萧萧采纳,获得10
14秒前
15秒前
16秒前
nikki发布了新的文献求助10
18秒前
kery发布了新的文献求助10
18秒前
完美世界应助javalin采纳,获得10
20秒前
贪玩的秋柔应助fiercecila采纳,获得10
22秒前
THEODLL发布了新的文献求助10
22秒前
Komorebi完成签到 ,获得积分10
24秒前
冯聪聪发布了新的文献求助10
25秒前
mom完成签到,获得积分10
26秒前
885791403完成签到 ,获得积分10
28秒前
拾壹完成签到,获得积分10
29秒前
30秒前
luohan完成签到,获得积分10
31秒前
张欢馨应助nikki采纳,获得10
32秒前
cfyoung完成签到,获得积分10
32秒前
33秒前
Yu完成签到,获得积分10
33秒前
桥西小河完成签到 ,获得积分10
34秒前
35秒前
海妍发布了新的文献求助10
36秒前
qinshuo发布了新的文献求助10
36秒前
maizhenpeng发布了新的文献求助10
37秒前
14and15完成签到,获得积分10
37秒前
陈橘皮完成签到,获得积分20
37秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6359636
求助须知:如何正确求助?哪些是违规求助? 8173646
关于积分的说明 17214945
捐赠科研通 5414627
什么是DOI,文献DOI怎么找? 2865583
邀请新用户注册赠送积分活动 1842883
关于科研通互助平台的介绍 1691124