Multi-functionality and land use dynamics in a peri-urban environment influenced by wastewater irrigation

被引:12
作者
Jampani, Mahesh [1 ,2 ,3 ]
Amerasinghe, Priyanie [3 ]
Liedl, Rudolf [1 ]
Locher-Krause, Karla [2 ,4 ,5 ]
Huelsmann, Stephan [2 ,6 ]
机构
[1] Tech Univ Dresden, Inst Groundwater Management, D-01062 Dresden, Germany
[2] United Nations Univ, Inst Integrated Management Mat Fluxes & Resources, Ammonstrasse 74, D-01067 Dresden, Germany
[3] Int Water Management Inst IWMI, 127 Sunil Mawatha, Colombo, Sri Lanka
[4] Helmholtz Centre Environm Res UFZ, Dept Environm Polit, Permoserstr 15, D-04318 Leipzig, Germany
[5] Helmholtz Centre Environm Res UFZ, Dept Conservat Biol, Permoserstr 15, D-04318 Leipzig, Germany
[6] Czech Acad Sci, Global Change Res Inst CAS, Belidla 986-4a, Brno 60300, Czech Republic
关键词
Peri-urban agriculture; Google Earth data; Change detection; Crop mapping; Micro-level changes; Land change modelling; GOOGLE EARTH; FOOD-PRODUCTION; MEXICO-CITY; URBAN; URBANIZATION; TECHNOLOGIES; AGRICULTURE; PERSPECTIVE; SYSTEM; IMAGES;
D O I
10.1016/j.scs.2020.102305
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Peri-urban areas are characterized by multifunctional land-use patterns forming a mosaic of built-up and agricultural areas. They are critical for providing food and other agricultural products, livelihood opportunities and multiple ecosystem services, which makes them transformative where urban and rural spaces blend. We analyzed land use changes in a peri-urban micro-watershed in Southern India by using Google Earth data to understand the micro-level spatio-temporal dynamics. This study aims at understanding the peri-urban agriculture and landscape changes as related to the change in use of wastewater and groundwater for irrigation. The temporal dynamics of peri-urban system including the changes in built-up, paragrass, paddy rice and vegetable cultivation, groundwater and wastewater irrigated areas in the watershed were evaluated. The detected changes indicate that, as a consequence of urban pressures, agricultural landscapes are being converted into built-up areas and, at the same time, former barren land is converted to agricultural plots. The mapped land use data are used in landscape change modelling for predicting the peri-urban agricultural dynamics and the driving factors in the watershed. Combined with the mapping and modelling approaches for land use change analysis, our results form the basis for integrated resources management in the wastewater influenced peri-urban systems.
引用
收藏
页数:11
相关论文
共 55 条
[21]   Urban versus conventional agriculture, taxonomy of resource profiles: a review [J].
Goldstein, Benjamin ;
Hauschild, Michael ;
Fernandez, John ;
Birkved, Morten .
AGRONOMY FOR SUSTAINABLE DEVELOPMENT, 2016, 36 (01) :1-19
[22]   Google Earth Engine: Planetary-scale geospatial analysis for everyone [J].
Gorelick, Noel ;
Hancher, Matt ;
Dixon, Mike ;
Ilyushchenko, Simon ;
Thau, David ;
Moore, Rebecca .
REMOTE SENSING OF ENVIRONMENT, 2017, 202 :18-27
[23]   Being efficient and green by rethinking the urban-rural divide-Combining urban expansion and food production by integrating an ecosystem service perspective into urban planning [J].
Gren, Asa ;
Andersson, Erik .
SUSTAINABLE CITIES AND SOCIETY, 2018, 40 :75-82
[24]  
Gumma K. M., 2011, Irrigation and Drainage Systems, V25, P135, DOI 10.1007/s10795-011-9117-y
[25]   Scenario Simulation and the Prediction of Land Use and Land Cover Change in Beijing, China [J].
Han, Huiran ;
Yang, Chengfeng ;
Song, Jinping .
SUSTAINABILITY, 2015, 7 (04) :4260-4279
[26]   Exploring the Use of Google Earth Imagery and Object-Based Methods in Land Use/Cover Mapping [J].
Hu, Qiong ;
Wu, Wenbin ;
Xia, Tian ;
Yu, Qiangyi ;
Yang, Peng ;
Li, Zhengguo ;
Song, Qian .
REMOTE SENSING, 2013, 5 (11) :6026-6042
[27]   Mapping major land cover dynamics in Beijing using all Landsat images in Google Earth Engine [J].
Huang, Huabing ;
Chen, Yanlei ;
Clinton, Nicholas ;
Wang, Jie ;
Wang, Xiaoyi ;
Liu, Caixia ;
Gong, Peng ;
Yang, Jun ;
Bai, Yuqi ;
Zheng, Yaomin ;
Zhu, Zhiliang .
REMOTE SENSING OF ENVIRONMENT, 2017, 202 :166-176
[28]   Spatio-temporal distribution and chemical characterization of groundwater quality of a wastewater irrigated system: A case study [J].
Jampani, Mahesh ;
Huelsmann, Stephan ;
Liedl, Rudolf ;
Sonkamble, Sahebrao ;
Ahmed, Shakeel ;
Amerasinghe, Priyanie .
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 636 :1089-1098
[29]   Water assessment in a peri-urban watershed in Mexico City: A focus on an ecosystem services approach [J].
Jujnovsky, Julieta ;
Ramos, Alya ;
Caro-Borrero, Angela ;
Mazari-Hiriart, Marisa ;
Maass, Manuel ;
Almeida-Lenero, Lucia .
ECOSYSTEM SERVICES, 2017, 24 :91-100
[30]  
Kurian M, 2010, PERI-URBAN WATER AND SANITATION SERVICES: POLICY, PLANNING AND METHOD, P1, DOI 10.1007/978-90-481-9425-4