Spatiotemporal assessment of water security in the Dongting Lake region: Insights from projection pursuit method and sparrow search algorithm

水安全 环境科学 雨水收集 粮食安全 水资源管理 水资源 湿地 投影寻踪 适宜性分析 计算机科学 水文学(农业) 环境资源管理 农业 工程类 生态学 生物 人工智能 岩土工程
作者
Jiayi Xiang,Shuai Tan,Xinlong Tan,Jingwei Long,Tianlong Xiao,Wei Wang
出处
期刊:Journal of Cleaner Production [Elsevier]
卷期号:378: 134447-134447
标识
DOI:10.1016/j.jclepro.2022.134447
摘要

The Dongting Lake region (TDLR) is China's essential commodity grain base and inland wetland reserve. Few studies, however, focus on the water security of TDLR. Additionally, as the attributes of water security increase, common methods may not obtain more structural characteristics or make full use of the data, resulting in the evaluation not being comprehensive enough. Hence, based on the vulnerability scoping diagram (VSD) and the coupled model combining projection pursuit method (PP), sparrow search algorithm (SSA), and contribution degree model, this study assesses the water security of TDLR and its three major cities. The result shows that the coupled model may be suitable to assess water security since it obtains a more accurate, comparable, sensitive, comprehensive evaluation more rapidly, intuitively, and stably. The water security of TDLR and three cities all exhibit an overall fluctuating upward trend during 2011–2020, with a significant increase in the comprehensive water security evaluation value (WSV) of TDLR ( p < 0.05). Among the three cities, the water security of Yiyang is the safest, followed by Changde and Yueyang. A summary of the main contributing dimensions and top ten contributing indicators of water security of TDLR illustrates that the effective measures to improve its water security include building embankments and sewage treatment plants through increasing investment; reducing industrial water consumption; improving the ability to convert rainwater to water resources and surface water storage capacity. Additional measures, such as strengthening the integrated management of the Dongting Lake and increasing the use of reclaimed water for ecological replenishment, can effectively improve its water security. This study objectively assesses and summarizes the water security of TDLR and provides a valuable reference for relevant authorities in regional water resources planning and management, as well as for water security assessment of other similar lake regions. • Vulnerability scoping diagram can be used to establish the water security assessment framework based on the water issues and their complex interrelationships. • The coupled model may be suitable to assess water security since it obtains a more accurate, comparable, sensitive, comprehensive evaluation more rapidly, intuitively, and stably. • Water security around the Dongting Lake region has significantly improved during 2011–2020. • The key contributing factors and effective measures to improve water security around the Dongting Lake region are identified.
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
刚刚
整齐海秋完成签到,获得积分10
刚刚
刚刚
善学以致用应助白榆采纳,获得10
刚刚
JamesPei应助易达采纳,获得10
1秒前
1秒前
1秒前
圣晟胜发布了新的文献求助10
1秒前
xx发布了新的文献求助10
2秒前
忧郁觅柔完成签到 ,获得积分10
2秒前
追寻夜香发布了新的文献求助10
2秒前
昊康好完成签到,获得积分10
2秒前
3秒前
yy完成签到,获得积分10
3秒前
4秒前
缓慢天抒完成签到 ,获得积分10
4秒前
科研通AI5应助路之遥兮采纳,获得10
4秒前
爱睡觉的亮亮完成签到,获得积分10
5秒前
圈圈发布了新的文献求助10
5秒前
顾矜应助无聊先知采纳,获得10
5秒前
5秒前
5秒前
6秒前
6秒前
6秒前
咕咕咕完成签到,获得积分10
6秒前
经法发布了新的文献求助10
7秒前
晚亭完成签到,获得积分10
7秒前
欲望被鬼举报戚薇求助涉嫌违规
8秒前
yangyang发布了新的文献求助10
8秒前
优雅的琳发布了新的文献求助10
9秒前
时光发布了新的文献求助10
9秒前
yuki完成签到,获得积分10
9秒前
南逸然完成签到,获得积分10
9秒前
9秒前
10秒前
HongJiang发布了新的文献求助10
10秒前
10秒前
筱谭完成签到 ,获得积分10
10秒前
guanze完成签到 ,获得积分10
11秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527469
求助须知:如何正确求助?哪些是违规求助? 3107497
关于积分的说明 9285892
捐赠科研通 2805298
什么是DOI,文献DOI怎么找? 1539865
邀请新用户注册赠送积分活动 716714
科研通“疑难数据库(出版商)”最低求助积分说明 709678