The Eco-Zoning of Huaihe River Basin Based on Multi-Source Data and Spatial Analysis

被引:0
|
作者
Wang, Qing [1 ]
Liu, Xuehua [1 ]
机构
[1] Tsinghua Univ, Sch Environm, Beijing 100084, Peoples R China
关键词
Eco-Zoning; Huaihe River Basin (HRB); Multi-Source Data; Spatial Analysis; Multi-Layer Stacking Analysis;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Using spatial analysis, multi-source data, an on-site investigation, this study carried out an integrated eco-zoning in the Huaihe River Basin (HRB) based on the spatial heterogeneity of geographical environment and ecosystem as well as human impacts. The HRB was divided into 4 eco-zones and 8 sub-eco-zones, each zone with its main ecosystem services, ecovulnerability or eco-sensitivity. Spatial analysis techniques were used to generate zoning maps. Suggestions on the future economic development and eco-environment protection were also put forward. The result of this study can provide a scientific basis for regional ecosystem management and development planning.
引用
收藏
页数:4
相关论文
共 50 条
  • [21] Spatial distribution characteristics and source identification of heavy metals in river waters of the Huaihe River Basin, China
    Yang, Jiqiang
    Wan, Yun
    Li, Jingjing
    Zou, Dawei
    Leng, Xin
    An, Shuqing
    [J]. MARINE AND FRESHWATER RESEARCH, 2018, 69 (05) : 840 - 850
  • [22] Analysis of Spatial Characteristics of Digital Signage in Beijing with Multi-Source Data
    Zhang, Xun
    Ma, Guangchi
    Jiang, Li
    Zhang, Xiaohu
    Liu, Ying
    Wang, Yuxue
    Zhao, Conghui
    [J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 8 (05):
  • [23] Study of Urban System Spatial Interaction Based on Microblog Data: A Case of Huaihe River Basin, China
    Fan, Yong
    Yao, Juhui
    He, Zongyi
    He, Biao
    Li, Minmin
    [J]. SCIENTIFIC PROGRAMMING, 2019, 2019
  • [24] The Evolution of the Urban Spatial Pattern in the Yangtze River Economic Belt: Based on Multi-Source Remote Sensing Data
    Li, Yang
    Shao, Hua
    Jiang, Nan
    Shi, Ge
    Cheng, Xin
    [J]. SUSTAINABILITY, 2018, 10 (08)
  • [25] SONGHUA RIVER BASIN FLOOD MONITORING USING MULTI-SOURCE SATELLITE REMOTE SENSING DATA
    Zheng, Wei
    Shao, Jiali
    Gao, Hao
    [J]. 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 9760 - 9763
  • [26] Bayesian analysis of multi-source data
    Bhat, P. C.
    Prosper, H. B.
    Snyder, S. S.
    [J]. Physics Letters. Section B: Nuclear, Elementary Particle and High-Energy Physics, 407 (01):
  • [27] Bayesian analysis of multi-source data
    Bhat, PC
    Prosper, HB
    Snyder, SS
    [J]. PHYSICS LETTERS B, 1997, 407 (01) : 73 - 78
  • [28] Multi-source data analysis challenges
    Uselton, S
    Ahrens, J
    Bethel, W
    Treinish, L
    State, A
    [J]. VISUALIZATION '98, PROCEEDINGS, 1998, : 501 - 504
  • [29] Synthetic assessment on the eco-environment of Hunan province based on multi-source spatial information
    Xiong, Ying
    Zeng, Guang-Ming
    Lu, Hui-Hong
    Li, Zhong-Wu
    [J]. Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 2007, 34 (10): : 86 - 89
  • [30] Research on cropping intensity mapping of the Huai River Basin (China) based on multi-source remote sensing data fusion
    Wang, Yihang
    Fan, Lin
    Tao, Ranting
    Zhang, Letao
    Zhao, Wei
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (09) : 12661 - 12679