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

Abstract 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.

[1]  Jinwei Dong,et al.  A comparison of forest cover maps in Mainland Southeast Asia from multiple sources: PALSAR, MERIS, MODIS and FRA , 2012 .

[2]  Jan Nyssen,et al.  Transferring Google Earth observations to GIS-software: example from gully erosion study , 2013, Int. J. Digit. Earth.

[3]  N. Gruda,et al.  Urban vegetable for food security in cities. A review , 2014, Agronomy for Sustainable Development.

[4]  A. Ramaswami,et al.  Wastewater treatment and reuse in urban agriculture: exploring the food, energy, water, and health nexus in Hyderabad, India , 2017 .

[5]  Takashi Asano,et al.  Guidelines for the safe use of wastewater, excreta and greywater , 2006 .

[6]  S. Sonkamble,et al.  Stakeholder Views, Financing and Policy Implications for Reuse of Wastewater for Irrigation: A Case from Hyderabad, India , 2015 .

[7]  Yuqi Bai,et al.  Mapping major land cover dynamics in Beijing using all Landsat images in Google Earth Engine , 2017 .

[8]  E. Andersson,et al.  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 , 2018, Sustainable Cities and Society.

[9]  Alireza Soffianian,et al.  Evaluating the spatial effectiveness of alternative urban growth scenarios in protecting cropland resources: A case of mixed agricultural-urbanized landscape in central Iran , 2018, Sustainable Cities and Society.

[10]  H. Ullah,et al.  Impact of sewage contaminated water on soil, vegetables, and underground water of peri-urban Peshawar, Pakistan , 2012, Environmental Monitoring and Assessment.

[11]  C. Proisy,et al.  Assessing aboveground tropical forest biomass using Google Earth canopy images. , 2012, Ecological applications : a publication of the Ecological Society of America.

[12]  M. Kurian,et al.  Peri-urban Water and Sanitation Services: Policy, Planning and Method , 2010 .

[13]  P. Thenkabail,et al.  Expansion of urban area and wastewater irrigated rice area in Hyderabad, India , 2011 .

[14]  M. Hauschild,et al.  Urban versus conventional agriculture, taxonomy of resource profiles: a review , 2016, Agronomy for Sustainable Development.

[15]  Valerio Baiocchi,et al.  Horizontal accuracy assessment of very high resolution Google Earth images in the city of Rome, Italy , 2016, Int. J. Digit. Earth.

[16]  Le Yu,et al.  Google Earth as a virtual globe tool for Earth science applications at the global scale: progress and perspectives , 2012 .

[17]  Martin Paegelow,et al.  Modelling Land use / cover changes: a comparison of conceptual approaches and softwares , 2014 .

[18]  S. Brooker,et al.  Sewage disposal in the Musi-River, India: water quality remediation through irrigation infrastructure , 2010 .

[19]  Alireza Soffianian,et al.  Scenario-based analysis of land-use competition in central Iran: Finding the trade-off between urban growth patterns and agricultural productivity , 2018 .

[20]  J. Padgham,et al.  Managing change and building resilience: A multi-stressor analysis of urban and peri-urban agriculture in Africa and Asia , 2015 .

[21]  S. Hammer,et al.  International Journal of Health Geographics Combining Google Earth and Gis Mapping Technologies in a Dengue Surveillance System for Developing Countries , 2022 .

[22]  Sarah Taylor Lovell,et al.  Mapping public and private spaces of urban agriculture in Chicago through the analysis of high-resolution aerial images in Google Earth , 2012 .

[23]  Michael Dixon,et al.  Google Earth Engine: Planetary-scale geospatial analysis for everyone , 2017 .

[24]  M. Kurian,et al.  Wastewater re-use for peri-urban agriculture: a viable option for adaptive water management? , 2012, Sustainability Science.

[25]  D. Pauly,et al.  Ground-truthing the ground-truth: reply to Garibaldi et al.'s comment on “Managing fisheries from space: Google Earth improves estimates of distant fish catches” , 2014 .

[26]  Jeffrey A. Cardille,et al.  Strategies for Incorporating High-Resolution Google Earth Databases to Guide and Validate Classifications: Understanding Deforestation in Borneo , 2011, Remote. Sens..

[27]  Karen C. Seto,et al.  Hidden linkages between urbanization and food systems , 2016, Science.

[28]  P. Pavelic,et al.  An integrated approach to assess the dynamics of a peri-urban watershed influenced by wastewater irrigation , 2015 .

[29]  Huiran Han,et al.  Scenario Simulation and the Prediction of Land Use and Land Cover Change in Beijing, China , 2015 .

[30]  C. Mazzocchi,et al.  The contribution of Urban Food Policies toward food security in developing and developed countries: A network analysis approach , 2019, Sustainable Cities and Society.

[31]  K. Seto,et al.  Urban land teleconnections and sustainability , 2012, Proceedings of the National Academy of Sciences.

[32]  Eric F. Lambin,et al.  Global assessment of urban and peri-urban agriculture: irrigated and rainfed croplands , 2014 .

[33]  K. Schwärzel,et al.  Implementation of Multifunctional Land Management: Research Needs , 2017 .

[34]  Steven R. McGreevy,et al.  Urban Agriculture as a Sustainability Transition Strategy for Shrinking Cities? Land Use Change Trajectory as an Obstacle in Kyoto City, Japan , 2018 .

[35]  J. Craigon,et al.  Does consumption of leafy vegetables grown in peri-urban agriculture pose a risk to human health? , 2012, Environmental pollution.

[36]  Markus Starkl,et al.  Potential of natural treatment technologies for wastewater management in India , 2013 .

[37]  L. Stocker,et al.  Sustainability and Climate Adaptation: Using Google Earth to Engage Stakeholders , 2012 .

[38]  Jessica L. McCarty,et al.  Is remote sensing useful for finding and monitoring urban farms , 2017 .

[39]  Markus Starkl,et al.  Discussion on Sustainable Water Technologies for Peri-Urban Areas of Mexico City: Balancing Urbanization and Environmental Conservation , 2012 .

[40]  Andrew B. Johnson,et al.  Satellite imagery reveals new critical habitat for Endangered bird species in the high Andes of Peru , 2011 .

[41]  Christopher Conrad,et al.  Analysis of Settlement Expansion and Urban Growth Modelling Using Geoinformation for Assessing Potential Impacts of Urbanization on Climate in Abuja City, Nigeria , 2016, Remote. Sens..

[42]  Amy L. Griffin,et al.  Impacts on the Urban Environment: Land Cover Change Trajectories and Landscape Fragmentation in Post-War Western Area, Sierra Leone , 2018, Remote. Sens..

[43]  Hiromichi Nagao,et al.  Visualization of geoscience data on Google Earth: Development of a data converter system for seismic tomographic models , 2010, Comput. Geosci..

[44]  Douglas W. Burbank,et al.  Channel widths, landslides, faults, and beyond: The new world order of high-spatial resolution Googl , 2012 .

[45]  R. Maconachie,et al.  Water, land and health in urban and peri‐urban food production: the case of Kano, Nigeria , 2003 .

[46]  N. McClintock,et al.  Socio-spatial differentiation in the Sustainable City: A mixed-methods assessment of residential gardens in metropolitan Portland, Oregon, USA , 2016 .

[47]  M. Mazari-Hiriart,et al.  Water assessment in a peri-urban watershed in Mexico City: A focus on an ecosystem services approach , 2017 .

[48]  T. Biggs,et al.  Soil salinity and exchangeable cations in a wastewater irrigated area, India. , 2009, Journal of environmental quality.

[49]  S. Sonkamble,et al.  Spatio-temporal distribution and chemical characterization of groundwater quality of a wastewater irrigated system: A case study. , 2018, The Science of the total environment.

[50]  Qian Song,et al.  Exploring the Use of Google Earth Imagery and Object-Based Methods in Land Use/Cover Mapping , 2013, Remote. Sens..