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Remote Sensing Technology and Application  2022, Vol. 37 Issue (6): 1525-1536    DOI: 10.11873/j.issn.1004-0323.2022.6.1525
Research the Influence of Danjiangkou Reservoir Expansion on the “Production-Living-Ecological Space” of Xichuan County
Zhifang Shi1,2(),Guangcheng Xiong3,4,Lina Yin3,4,Zhen Liu3,4,Yanyan Lu3,4,Xiaoyan Liu1,2,Yadi Run1,2,Yaoping Cui1,2,4()
1.Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University),Ministry of Education,Kaifeng 475004,China
2.School of Geography and Environmental Science,Henan University,Kaifeng 475004,China
3.Henan Science and Technology Innovation Center of Natural Resources/Land Consolidation and Rehabilitation Center of Henan Province,Zhengzhou 450016,China
4.Henan Science and Technology Innovation Center of Natural Resources(Ecological product value accounting),Zhengzhou 450016,China
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As the head of the canal of the middle route of the South-to-North Water Transfer Project and the location of Danjiangkou Reservoir in Henan province, analyzing the impact of the expansion of surface water in Xichuan County on the production-living-ecological space and ecological migration is of great significance to regional ecological protection and development.This study uses the Google Earth Engine cloud platform and uses 1631 Landsat remote sensing images to dynamically analyze the evolution of Danjiangkou Reservoir from 2000 to 2020. By constructing an production-living-ecological space classification system, it analyzes the impact of Danjiangkou Reservoir expansion on Production-living-ecological space of Xichuan County. It also has a influence of the evolution of the pattern and the impact of ecological migration. The results show that: (1) From 2000 to 2020, the ecological space area of Xichuan County fluctuates up, the production space area gradually decreases, and the living space area continues to expand. (2) The surface water area of Danjiangkou Reservoir in Xichuan County has fluctuated and increased from 2000 to 2020. The expansion of Danjiangkou Reservoir has increased the submerged area of Xichuan County by 181.67 km2. (3) The expansion of the ecological space in Xichuan County, especially the expansion of the Danjiangkou Reservoir water body, took up 181.67 km2 of ecological and living space, reduced the carrying land area and increased the pressure on the carrying population, resulting in 162 000 ecological immigrants in Xichuan County.

Key words:  Production-Living-Ecological space      Google Earth Engine      Water expansion      Danjiangkou reservoir      South-to-North water transfer     
Received:  07 July 2021      Published:  15 February 2023
ZTFLH:  P237  
Corresponding Authors:  Yaoping Cui     E-mail:;
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Zhifang Shi
Guangcheng Xiong
Lina Yin
Zhen Liu
Yanyan Lu
Xiaoyan Liu
Yadi Run
Yaoping Cui

Cite this article: 

Zhifang Shi,Guangcheng Xiong,Lina Yin,Zhen Liu,Yanyan Lu,Xiaoyan Liu,Yadi Run,Yaoping Cui. Research the Influence of Danjiangkou Reservoir Expansion on the “Production-Living-Ecological Space” of Xichuan County. Remote Sensing Technology and Application, 2022, 37(6): 1525-1536.

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Fig.1  Location of Xichuan County
Fig.2  Statistics of Landsat observations across the Xichuan County from 2000 to 2020
Table 1  Production-living-ecological space classification system of Xichuan County
Fig.3  Spatial distribution of production-living-ecological space in Xichuan County, 2000-2020
Fig.4  Areal statistics of production-living-ecological space in Xichuan Congtry, 2000—2020
Fig.5  Spatial distribution of surface water in Xichuan County from 2000 to 2020
Fig.6  Dynamic changes of surface water in Xichuan County, 2000—2020







Table 2  Statistics of production-living-ecological space area change of Danjiangkou Reservoir,2000—2020
Fig.7  Spatial distribution of immigrants and statistics of immigrants in batches in Xichuan County
Fig.8  Statistics of resettlement reservoir immigrants in Henan Province and Xichuan County
Fig.9  Statistics of fiscal budget revenue and GDP of Xichuan County from 2003 to 2019
Fig.10  Resettlement compensation Standard of different construction in Danjiangkou Reservoir
1 Zhu Jiulong. Analis on changes in land use structure in waiter source area of midle route project of Sooth to North Water Diversion[J]. Yellow River,2016,38(7):53-57,63.
1 朱九龙. 南水北调中线水源区土地利用结构演化特征[J]. 人民黄河,2016,38(7):53-57,63.
2 Shen Zehao, Zhang Quanfa, Yue Chao,et al. The spatial pattern of land use/land coverin the water supplying area of the middle route of the South to North Water Diversion (MR- SNWD) Project[J]. Acta Geographica Sinica,2006,61(6):633-644.
2 沈泽昊,张全发,岳超,等. 南水北调中线水源区土地利用/土地覆被的空间格局[J]. 地理学报,2006,61(6):633-644.
3 Wang Jian, Yin Wei, Zhao Xiaolin,et al. The potential risk evaluation of farmland soil from new submerged area in Danjiangkou Reservoir[J]. China Environmental Science,2015,35(1):157-164.
3 王剑,尹炜,赵晓琳,等. 丹江口水库新增淹没区农田土壤潜在风险评估[J]. 中国环境科学,2015,35(1):157-164.
4 Li Yiqiu, Deng Ou, Zhang Dongyou,et al. Land use and ecosystem service value scenarios simulation in Danjiangkou reservoir area[J]. Transactions of the CSAE,2011,27(5):329-335.
4 李亦秋,邓欧,张冬有,等. 丹江口库区土地利用及其生态系统服务价值情景模拟[J]. 农业工程学报,2011,27(5):329-335,399.
5 Li Hui, Zhang Xiaoyuan, Guo Honglei. Spatial and temporal changes of ecosystem service value in the Three Gorges reservoir area in the past 30 years based on land use[J]. Research of Soil and Water Conservation,2021,28(2):309-318.
5 李辉,张晓媛,国洪磊. 基于土地利用的三峡库区近30年生态系统服务价值时空变化特征[J]. 水土保持研究,2021,28(2):309-318.
6 Chen Long, Zhou Shenglu, Zhou Bingbing,et al. Characteristics and driving forces of regional land use transition based on the leading function classification: A case study of Jiangsu Province[J]. Economic Geography,2015,35(2):155-162.
6 陈龙,周生路,周兵兵,等. 基于主导功能的江苏省土地利用转型特征与驱动力[J].经济地理,2015,35(2):155-162.
7 Huang Jinchuan, Lin Haoxi, Qi Xiaoxiao. A literature review on optimization of spatial development pattern based on ecological-production-living space[J]. Progress in Geography,2017,36(3):378-391.
7 黄金川,林浩曦,漆潇潇. 面向国土空间优化的三生空间研究进展[J]. 地理科学进展,2017,36(3):378-391.
8 Lu Chengpeng, Ji Wei, Liu Zhiliang,et al. Spatial-temporal pattern and influencing factors of the “Production-Living Ecological” functional space of the Yellow River Basin at county level in Gansu, China[J]. Scientia Geographica Sinica,2022,42(4):579-588.
8 逯承鹏,纪薇,刘志良,等. 黄河流域甘肃段县域“三生”功能空间时空格局及影响因素识别[J]. 地理科学,2022,42(4):579-588.
9 Li Guangdong, Fang Chuanglin. Quantitative function identification and analysis of urban ecological-production-living spaces[J]. Acta Geographica Sinica,2016,71(1):49-65.
9 李广东,方创琳. 城市生态—生产—生活空间功能定量识别与分析[J]. 地理学报,2016,71(1):49-65.
10 Ling Ziyan, Li Yanshun, Jiang Weiguo,et al. Dynamic change characteristics of “Production-living-ecological Spaces” of urban agglomeration interlaced with mountains,rivers and sea:A case study of the Beibu Gulf urban agglomeration in Guangxi[J]. Economic Geography,2022,42(2):18-24.
10 凌子燕,李延顺,蒋卫国,等. 山江海交错带城市群国土三生空间动态变化特征——以广西北部湾城市群为例[J]. 经济地理,2022,42(2):18-24.
11 Mao X F, Wei X Y, Xia J X. Evaluation of ecological migrants’ adaptation to their new living area in Three-River Headwater wetlands, China[J]. Procedia Environmental Sciences,2012,13:1346-1353. DOI: .
doi: 10.1016/j.proenv. 2012. 01.127
12 Wang Z M, Song K S, Hu L J. China’s largest scale ecological migration in the three-river headwater region[J]. AMBIO,2010,39(5):443-446. DOI: .
doi: 10.1007/s13280-010-0054-z
13 Guo S J, Liu G C, Zhang Q,et al. Improvement in the poverty status of ecological migrants under the urban resettlement model: An empirical study in China[J]. Sustainability,2020,12(5):2084. DOI: .
doi: 10.3390/su12052084
14 Feng W, Zhong M, Lemoine JM,et al. Evaluation of groundwater depletion in North China using the Gravity Recovery and Climate Experiment (GRACE) data and ground‐based measurements[J]. Water Resources Research,2013,49(4):2110-2118. DOI: .
doi: 10.1002/wrcr.20192
15 Webber M, Li M T, Chen J,et al. Impact of the Three Gorges Dam, the South–North Water Transfer Project and water abstractions on the duration and intensity of salt intrusions in the Yangtze River estuary[J]. Hydrology and Earth System Sciences,2015,19(11):4411-4425. DOI: .
doi: 10.5194/hess-19-4411-2015
16 Wang Y G, Zhang W S, Zhao Y X,et al. Modelling water quality and quantity with the influence of inter-basin water diversion projects and cascade reservoirs in the Middle-lower Hanjiang River[J]. Journal of Hydrology,2016,541:1348-1362. DOI: .
doi: 10.1016/j.jhydrol.2016.08.039
17 Li Y J, López-Carr D, Chen W J. Factors affecting migration intentions in ecological restoration areas and their implications for the sustainability of ecological migration policy in arid Northwest China[J]. Sustainability,2014,6(12):8639-8660. DOI: .
doi: 10.3390/su6128639
18 Bum T. Translating ecological migration policy: A conjunctural analysis of Tibetan pastoralist resettlement in China[J]. Critical Asian Studies,2018,50(4):518-536. DOI: .
doi: 10.1080/14672715.2018.1515028
19 Traganos D, Aggarwal B, Poursanidis D,et al. Towards global-scale seagrass mapping and monitoring using Sentinel-2 on Google Earth Engine: The case study of the aegean and ionian seas[J]. Remote Sensing,2018,10(8):1227. DOI: .
doi: 10.3390/rs10081227
20 Lou Peiqin, Fu Bolin, Lin Xingchen,et al. Influence of land use change on ecosystem service value based on GEE in the Beijing-Tianjin-Hebei region from 1998 to 2018[J]. Environmental Science,2019,40(12):5473-5483.
20 娄佩卿,付波霖,林星辰,等. 基于GEE的1998~2018年京津冀土地利用变化对生态系统服务价值的影响[J]. 环境科学,2019,40(12):5473-5483.
21 Xiang Chao, Zhu Xiang, Hu Deyong,et al. Monitoring the impervious surface with multi-resource remote sensing images in Beijing-Tianjin-Tangshan urban agglomeration in the past two decades[J]. Journal of Geo-information Science,2018,20(5):684-693.
21 向超,朱翔,胡德勇,等. 近20年京津唐地区不透水面变化的遥感监测[J]. 地球信息科学学报,2018,20(5):684-693.
22 Lee J, Cardille J A, Coe M T. BULC-U: Sharpening resolution and improving accuracy of land-use/land-cover classifications in Google Earth Engine[J]. Remote Sensing,2018,10(9):1455. DOI: .
doi: 10.3390/rs10091455
23 Kumar L, Mutanga O. Google Earth Engine applications since inception: Usage, trends, and potential[J]. Remote Sensing,2018,10(10):1509. DOI: .
doi: 10.3390/rs10101509
24 Tamiminia H, Salehi B, Mahdianpari M,et al. Google Earth Engine for geo-big data applications: A meta-analysis and systematic review[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2020,16(4):152-170. DOI: .
doi: 10.1016/j.isprsjprs.2020.04.001
25 He Yingli, You Nanshan, Cui Yaoping,et al. Spatio-temporal changes in remote sensing-basedecological index in China since 2000[J]. Journal of Geo-information Science,2021,36(5):1176-1185.
25 何盈利,尤南山,崔耀平,等. 2000年来中国生态状况时空变化格局[J]. 自然资源学报,2021,36(5):1176-1185.
26 Tsai Y H, Stow D, Chen H L,et al. Mapping vegetation and land use types in fanjingshan national nature reserve using google earth engine[J]. Remote Sensing,2018,10(6):927. DOI: .
doi: 10.3390/rs10060927
27 Zurqani H A, Post C J, Mikhailova E A,et al. Geospatial analysis of land use change in the Savannah River Basin using Google Earth Engine[J]. International Journal of Applied Earth Observation and Geoinformation,2018,69:175-185. DOI: .
doi: 10.1016/j.jag.2017.12.006
28 Wang X X, Xiao X M, Zou Z H,et al. Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2020,16(3):312-326. DOI: .
doi: 10.1016/j.isprsjprs.2020.03.014
29 Amani M, Mahdavi S, Afshar M,et al. Canadian wetland inventory using google earth engine: The first map and preliminary results[J]. Remote Sensing,2019,11(7):842. DOI: .
doi: 10.3390/rs11070842
30 DeVries B, Huang C, Armston J,et al. Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine[J]. Remote Sensing of Environment,2020,240:111664. DOI: .
doi: 10.1016/j.rse.2020.111664
31 Wang Y D, Li Z W, Zeng C,et al. An urban water extraction method combining deep learning and Google Earth Engine[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2020,13:768-781. DOI: .
doi: 10.1109/JSTARS.2020.2971783
32 Yadi Run, Cui Yaoping, Qin Yaochen,et al. Spatial-temporal dynamic of water and land in the Yellow River Beach Area based on Google Earth Engine[J]. Yellow River,2021,43(9):85-89,93.
32 闰亚迪,崔耀平,秦耀辰,等. 基于GEE的黄河滩区水土时空动态研究[J]. 人民黄河,2021,43(9):85-89,93.
33 Li Chongwei, Wang Zhihui, Tang Qiuhong,et al. Dynamics of surface water area in the Yellow River Basin and its influencing mechanism during 1986-2019 based on Google Earth Engine[J]. Acta Geographica Sinica,2022,77(5):1153-1168.
33 李崇巍,王志慧,汤秋鸿,等. 1986—2019年黄河流域地表水体动态变化及其影响因素[J]. 地理学报,2022,77(5):1153-1168.
34 Wang Haibo, Ma Mingguo. A review of monitoring change in lake water areas based on remote sensing[J]. Remote Sensing Technology and Application,2009,24(5):674-684.
34 王海波,马明国. 基于遥感的湖泊水域动态变化监测研究进展[J]. 遥感技术与应用,2009,24(5):674-684.
35 Liu Jilai, Liu Yansui, Li Yurui. Classification evaluation and spatial-temporal analysis of “production-living- ecological” spaces in China[J]. Acta Geographica Sinica,2017,72(7):1290-1304.
35 刘继来,刘彦随,李裕瑞. 中国“三生空间”分类评价与时空格局分析[J]. 地理学报,2017,72(7):1290-1304.
36 Yin Jiadi, Dong Jingwei, Kuang Wenhui,et al. Pattern and gradient effects of ecological space changes in China since 1990s[J]. Acta Ecologica Sinica,2020,40(17):5904-5914.
36 殷嘉迪,董金玮,匡文慧,等. 20世纪90年代以来中国生态空间演化的时空格局和梯度效应[J]. 生态学报,2020,40(17):5904-5914.
37 Liu Xiaoyan, Cui Yaoping, Dong Jinwei,et al. Assessment of ecological space and ecological index changes in the affected area of the middle and lower reaches of the Yellow River[J]. Acta Ecologica Sinica,2021,41(20):8030-8039.
37 刘小燕,崔耀平,董金玮,等. 黄河中下游影响区生态空间和生态指数变化评估[J]. 生态学报,2021,41(20):8030-8039.
38 Song Yongyong, Xue Dongqian, Xia Siyou,et al. Change characteristics and formation mechanism of the territorial spatial pattern in the Yellow River Basin from 1980 to 2018, China[J]. Geographica Research,2021,40(5):1445-1463.
38 宋永永,薛东前,夏四友,等. 近40a黄河流域国土空间格局变化特征与形成机理[J]. 地理研究,2021,40(5):1445-1463.
39 Li Jiangsu, Sun Wei, Yu Jianhui. Change and regional differences of production-living-ecological space in the Yellow River Basin: Based on comparative analysis of resource-based and non- resource-based cities[J]. Resources Science,2020,4(12):2285-2299.
39 李江苏,孙威,余建辉. 黄河流域三生空间的演变与区域差异: 基于资源型与非资源型城市的对比[J]. 资源科学,2020,42(12):2285-2299.
40 Chen F, Zhang M M, Tian B S,et al. Extraction of Glacial Lake Outlines in Tibet Plateau using landsat 8 imagery and Google Earth Engine[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2017,10(9):1-8. DOI: .
doi: 10.1109/JSTARS.2017.2705718
41 Zou Z H, Dong J W, Menarguez M A,et al. Continued decrease of open surface water body area in Oklahoma during 1984-2015[J]. Science of the Total Environment,2017,595:451-460.
42 Zou Z H, Xiao X M, Dong J W,et al. Divergent trends of open-surface water body area in the contiguous United States from 1984 to 2016[J]. Proceedings of the National Academy of Sciences,2018,115(15):3810-3815.
43 Zhou Y, Dong J W, Xiao X M,et al. Continuous monitoring of lake dynamics on the Mongolian Plateau using all available Landsat imagery and Google Earth Engine[J]. Science of the Total Environment,2019,689:366-380.
44 Wang X, Xiao X, Zou Z,et al. Gainers and losers of surface and terrestrial water resources in China during 1989–2016[J]. Nature Communications,2020,11(1):3471. DOI: .
doi: 10.1038/s41467-020-17103-w
45 Liu Ke, Gan Yuhang, Zhang Tao,et al. Study on land use change in the water supplying core area of middle route of South-to-North Water Transfer Project[J]. Geomatics & Spatial Information Technology,2019,42(4):4-8,16.
45 刘克,甘宇航,张涛,等. 南水北调中线工程核心水源区土地利用空间格局动态变化研究[J]. 测绘与空间地理信息,2019,42(4):4-8,16.
46 Shen Huaifei, Tian Qingjiu, Wu Guoxi. Study on land use/cover change in the water supply area of middle-route of the South-to-North Water Transfer Diversion (MR-SNWD) project[J]. Research of Soil and Water Conservation,2015,22(2):204-208,347.
46 申怀飞,田庆久,吴国玺. 南水北调中线水源区土地利用时空变化分析[J]. 水土保持研究,2015,22(2):204-208,347.
47 Jiang Shujun, Chen Qianlin. Study on green poverty reduction model from the perspective of ecological civilization construction: A case study of Xichuan County, Henan Province[J]. Ecological Economy,2020,36(7):204-209.
47 江书军,陈茜林. 生态文明建设视阈下绿色减贫模式研究——以河南省淅川县为例[J]. 生态经济,2020,36(7):204-209.
48 Liu Yaoyi, Tian Tian, Zeng Peng,et al. Surface water change characteristics of Taihu Lake from 1984-2018 based on Google Earth Engine[J]. Chinese Journal of Applied Ecology,2020,31(9):3163-3172.
48 刘垚燚,田恬,曾鹏,等. 基于Google Earth Engine平台的1984—2018年太湖水域变化特征[J]. 应用生态学报,2020,31(9):3163-3172.
49 Cui Y, Fu Y, Li N,et al. A novel approach for automatic urban surface water mapping with Land Surface Temperature (AUSWM)[J]. Remote Sensing,2022,14(13):3060. DOI: .
doi: 10.3390/rs14133060
50 Gorelick N, Hancher M, Dixon M,et al. Google Earth Engine: Planetary-scale geospatial analysis for everyone[J]. Remote Sensing of Environment,2017,202:18-27. DOI: .
doi: 10.1016/j.rse.2017.06.031
51 Huang Zhongliang, He Jing, Liu Gang,et al. Research progress of remote sensing image analysis and application oriented to GEE platform[J].Remote Sensing Technology and Application,2022,37(3):1-8.
51 黄仲良,何敬,刘刚,等.面向 GEE 平台的遥感影像分析与应用研究进展[J].遥感技术与应用,2022,37(3):1-8.
52 Lu Yao. Analyze livelihood issues Of The South‐to‐North Water Diversion project[D]. Kaifeng:Henan University, 2014.
52 卢尧. 南水北调中线工程移民安置的民生问题探析[D]. 开封:河南大学, 2014.
53 Li M, Cui Y, Qin Y, et al. Estimating the impact of ecological migrants on the South-to-North water diversion in China[J]. International Journal of Environmental Research and Public Health,2021,18(23):12295.DOI: .
doi: 10.3390/ijerph 182312295
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