Prediction of ecological effects of potential population and impervious surface increases using a remote sensing based ecological index (RSEI)

不透水面 环境科学 人口 生态学 索引(排版) 遥感 计算机科学 地理 生物 万维网 社会学 人口学
作者
Hanqiu Xu,Meiya Wang,Tingting Shi,Huade Guan,Canying Fang,Zongkai Lin
出处
期刊:Ecological Indicators [Elsevier BV]
卷期号:93: 730-740 被引量:180
标识
DOI:10.1016/j.ecolind.2018.05.055
摘要

Abstract The ecological impact of urban development and population increase is an area of increasing relevance as human modification of the landscape continues unabated. The prediction of this impact will help inform urban planning and decision making around population growth, impervious surface (IS) increase and associated ecological effects. The Xiong’an New Area is a state-level new area to be established in North China. The population growth goal for the area is going to reach 2.5 million and the area is planned to expand to 2000 km2. The potential population growth and area expansion will result in a massive increase in IS area and thus may impact the regional ecological quality. A clear understanding of the impact would help to minimize the influence of the new area’s development on regional ecological quality. Therefore, this study investigated current land cover types and ecological status in the Xiong’an New Area using feature inversion techniques and the improved remote sensing-based ecological index (RSEI). Statistical models were developed to predict ecological effects responding to the forthcoming population and associated IS increase in the new area. This was achieved by relating population growth to IS area increase and exploring the relationships between IS area and RSEI. The results show that the area’s land surface has not been intensively developed and the current ecological status is good. The RSEI-based prediction shows that IS area has a noteworthy effect on regional ecological conditions. The variation of IS proportions in the new area can result in a significant shift of RSEI. A balance amount of total IS area in the 2000 km2 new area is 433 km2. Exceeding/reducing the amount would result in a decline/rise of the area’s ecological quality. Introducing a quantity of IS area-related population density (IPD) reveals that the area’s ecological quality is actually related to IPD rather than to traditional population density when the total area and future population of the new area are given. Therefore, the forthcoming regional master planning for the new area should include specific efforts to control IS area increase.
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
maox1aoxin应助科研通管家采纳,获得50
刚刚
NexusExplorer应助科研通管家采纳,获得10
1秒前
CodeCraft应助科研通管家采纳,获得10
1秒前
..发布了新的文献求助10
1秒前
桐桐应助科研通管家采纳,获得10
1秒前
小Q完成签到,获得积分10
1秒前
爆米花应助科研通管家采纳,获得10
1秒前
852应助科研通管家采纳,获得10
1秒前
FashionBoy应助科研通管家采纳,获得10
1秒前
非而者厚应助科研通管家采纳,获得10
1秒前
Owen应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
有何不可完成签到,获得积分20
2秒前
2秒前
2秒前
田様应助科研通管家采纳,获得10
2秒前
2秒前
科研通AI5应助科研通管家采纳,获得10
2秒前
3秒前
中午完成签到,获得积分10
4秒前
斯文的芹菜完成签到 ,获得积分10
4秒前
乐观荔枝发布了新的文献求助10
5秒前
Liou应助不器采纳,获得10
5秒前
6秒前
wcy发布了新的文献求助10
7秒前
研友_VZG64n完成签到,获得积分10
7秒前
7秒前
zyppor完成签到,获得积分10
7秒前
图图完成签到,获得积分10
8秒前
8秒前
科研通AI5应助温暖芸采纳,获得10
8秒前
CodeCraft应助ALinaLi采纳,获得30
9秒前
平常星星完成签到,获得积分10
10秒前
杨甜心完成签到,获得积分10
10秒前
10秒前
幽默的凡完成签到 ,获得积分10
10秒前
besatified完成签到,获得积分10
11秒前
yc发布了新的文献求助10
11秒前
12秒前
高分求助中
Encyclopedia of Mathematical Physics 2nd edition 888
Technologies supporting mass customization of apparel: A pilot project 600
Introduction to Strong Mixing Conditions Volumes 1-3 500
Pharmacological profile of sulodexide 400
Optical and electric properties of monocrystalline synthetic diamond irradiated by neutrons 320
共融服務學習指南 300
Essentials of Pharmacoeconomics: Health Economics and Outcomes Research 3rd Edition. by Karen Rascati 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3804892
求助须知:如何正确求助?哪些是违规求助? 3349972
关于积分的说明 10346579
捐赠科研通 3065797
什么是DOI,文献DOI怎么找? 1683320
邀请新用户注册赠送积分活动 808810
科研通“疑难数据库(出版商)”最低求助积分说明 764978