Rainwater harvesting in catchments for agro-forestry uses: A study focused on the balance between sustainability values and storage capacity.

Rainwater harvesting (RWH) is used to support small-scale agriculture and handle seasonal water availability, especially in regions where populations are scattered or the costs to develop surface or groundwater resources are high. However, questions may arise as whether this technique can support larger-scale irrigation projects and in complement help the struggle against wildfires in agro-forested watersheds. The issue is relevant because harvested rainwater in catchments is usually accumulated in small-capacity reservoirs created by small-height dams. In this study, a RWH site allocation method was improved from a previous model, by introducing the dam wall height as evaluation parameter. The studied watershed (Sabor River basin) is mostly located in the Northeast of Portugal. This is a rural watershed where agriculture and forestry uses are dominant and where ecologically relevant regions (e.g., Montezinho natural park) need to be protected from wildfires. The study aimed at ranking 384 rainfall collection sub-catchments as regards installation of RWH sites for crop irrigation and forest fire combat. The height parameter was set to 3m because this value is a reference to detention basins that hold sustainability values (e.g., landscape integration, environmental protection), but the irrigation capacity under these settings was smaller than 10ha in 50% of cases, while continuous arable lands in the Sabor basin cover on average 222ha. Besides, the number of sub-catchments capable to irrigate the average arable land was solely 7. When the dam wall height increased to 6 and 12m, the irrigation capacity increased to 46 and 124 sub-catchments, respectively, meaning that more engineered dams may not always ensure all sustainability values but warrant much better storage. The limiting parameter was the dam wall height because 217 sub-catchments were found to drain enough water for irrigation and capable to store it if proper dam wall heights were used.

[1]  L. S. Sanches Fernandes,et al.  Controls and forecasts of nitrate yields in forested watersheds: A view over mainland Portugal. , 2015, The Science of the total environment.

[2]  Akpofure E. Taigbenu,et al.  Rainwater harvesting in South Africa: Challenges and opportunities , 2011 .

[3]  F. Pacheco,et al.  Weathering of plagioclase across variable flow and solute transport regimes , 2012 .

[4]  James P. Verdin,et al.  Developing index maps of water-harvest potential in Africa , 2004 .

[5]  L. F. Sanches Fernandes,et al.  Environmental land use conflicts: A threat to soil conservation , 2014 .

[6]  Bellie Sivakumar,et al.  Population, water, food, energy and dams , 2016 .

[7]  M. Ouessar,et al.  A water harvesting model for optimizing rainwater harvesting in the wadi Oum Zessar watershed, Tunisia , 2016 .

[8]  J. A. Camargo Multimetric assessment of macroinvertebrate responses to mitigation measures in a dammed and polluted river of Central Spain , 2017 .

[9]  Luca G. Lanza,et al.  Non-dimensional design parameters and performance assessment of rainwater harvesting systems , 2011 .

[10]  Miklas Scholz,et al.  Feature selection methods for characterizing and classifying adaptive Sustainable Flood Retention Basins. , 2011, Water research.

[11]  Ibrahim H. Elsebaie Developing rainfall intensity–duration–frequency relationship for two regions in Saudi Arabia , 2012 .

[12]  Luca G. Lanza,et al.  Performance analysis of domestic rainwater harvesting systems under various European climate zones , 2012 .

[13]  M. Giugni,et al.  Intensity-Duration-Frequency (IDF) rainfall curves, for data series and climate projection in African cities , 2013, SpringerPlus.

[14]  L. S. Sanches Fernandes,et al.  Assessing anthropogenic impacts on riverine ecosystems using nested partial least squares regression. , 2017, The Science of the total environment.

[15]  Siza D. Tumbo,et al.  GIS-based decision support system for identifying potential sites for rainwater harvesting , 2007 .

[16]  F. Pacheco,et al.  Anthropogenic impacts on mineral weathering: A statistical perspective , 2013 .

[17]  F. Pacheco,et al.  A multi criteria analog model for assessing the vulnerability of rural catchments to road spills of hazardous substances , 2017 .

[18]  Miklas Scholz,et al.  Classification of different sustainable flood retention basin types. , 2010, Journal of environmental sciences.

[19]  Jennie Barron,et al.  Water productivity in rainfed systems: overview of challenges and analysis of opportunities in water scarcity prone savannahs , 2007, Irrigation Science.

[20]  T. Oweis,et al.  Rainwater harvesting for dry land agriculture - developing a methodology based on remote sensing and GIS , 1998 .

[21]  Akpofure E. Taigbenu,et al.  Developing suitability maps for rainwater harvesting in South Africa , 2008 .

[22]  F. Pacheco,et al.  Role of hydraulic diffusivity in the decrease of weathering rates over time , 2014 .

[23]  L. F. Sanches Fernandes,et al.  Multi Criteria Analysis for the monitoring of aquifer vulnerability: A scientific tool in environmental policy , 2015 .

[24]  Julian Kirchherr,et al.  The Social Impacts of Dams: A New Framework for Scholarly Analysis , 2016 .

[25]  S. A. Kowsar,et al.  Long-term improvement of agricultural vegetation by floodwater spreading in the Gareh Bygone Plain, Iran. In the pursuit of human security, is artificial recharge of groundwater more lucrative than selling oil? , 2016, Hydrogeology Journal.

[26]  João Ferreira,et al.  Open-air Gravettian lithic assemblages from Northeast Portugal: The Foz do Medal site (Sabor valley) , 2016 .

[27]  E. Andre,et al.  Beyond hydrology in the sustainability assessment of dams: A planners perspective – The Sarawak experience , 2012 .

[28]  F. Pacheco,et al.  Modeling rock weathering in small watersheds , 2014 .

[29]  Luís F Sanches Fernandes,et al.  Rainwater harvesting systems for low demanding applications. , 2015, The Science of the total environment.

[30]  Fernando António Leal Pacheco,et al.  A framework model for the dimensioning and allocation of a detention basin system: The case of a flood-prone mountainous watershed , 2016 .

[31]  John Gallant,et al.  An automated and rapid method for identifying dam wall locations and estimating reservoir yield over large areas , 2017, Environ. Model. Softw..

[32]  Miklas Scholz,et al.  Classification methodology for Sustainable Flood Retention Basins , 2007 .

[33]  Mohamed Ouessar,et al.  Identification of suitable sites for rainwater harvesting structures in arid and semi-arid regions: A review , 2016, International Soil and Water Conservation Research.

[34]  C.A. Valera,et al.  The role of environmental land use conflicts in soil fertility: A study on the Uberaba River basin, Brazil. , 2016, The Science of the total environment.

[35]  L. S. Sanches Fernandes,et al.  A framework model for investigating the export of phosphorus to surface waters in forested watersheds: Implications to management. , 2015, The Science of the total environment.

[36]  L. F. Sanches Fernandes,et al.  Improved framework model to allocate optimal rainwater harvesting sites in small watersheds for agro-forestry uses , 2017 .

[37]  L. S. Sanches Fernandes,et al.  Soil losses in rural watersheds with environmental land use conflicts. , 2014, The Science of the total environment.

[38]  V. M. Chowdary,et al.  Rainwater harvesting planning using geospatial techniques and multicriteria decision analysis , 2014 .

[39]  J. M. Kahinda,et al.  Domestic rainwater harvesting to improve water supply in rural South Africa , 2007 .

[40]  F. Pacheco,et al.  Integrating topography, hydrology and rock structure in weathering rate models of spring watersheds , 2012 .

[41]  L. S. Sanches Fernandes,et al.  From catchment to fish: Impact of anthropogenic pressures on gill histopathology. , 2016, The Science of the total environment.

[42]  Frauke Urban,et al.  Hydropower, social priorities and the rural-urban development divide: The case of large dams in Cambodia , 2015 .

[43]  F. Pacheco Regional groundwater flow in hard rocks. , 2015, The Science of the total environment.

[44]  Miklas Scholz,et al.  Guidance on variables characterising water bodies including sustainable flood retention basins. , 2010 .

[45]  L. S. Sanches Fernandes,et al.  Impacts of climate change and land-use scenarios on Margaritifera margaritifera, an environmental indicator and endangered species. , 2015, The Science of the total environment.

[46]  Akpofure E. Taigbenu,et al.  A GIS-based decision support system for rainwater harvesting (RHADESS) , 2009 .

[47]  João Paulo Moura,et al.  Decision support systems in water resources in the demarcated region of Douro – case study in Pinhão river basin, Portugal , 2013 .

[48]  L. Fernandes,et al.  Model of management and decision support systems in the distribution of water for consumption , 2011 .

[49]  S. Hamylton,et al.  Civil-GIS incorporated approach for water resource management in a developed catchment for urban-geomorphic sustainability: Tallowa Dam, southeastern Australia , 2016, International Soil and Water Conservation Research.

[50]  V. M. Chowdary,et al.  Multi-criteria analysis and GIS modeling for identifying prospective water harvesting and artificial recharge sites for sustainable water supply , 2017 .

[51]  João Paulo Moura,et al.  The impact of climate change, human interference, scale and modeling uncertainties on the estimation of aquifer properties and river flow components , 2014 .

[52]  Miklas Scholz,et al.  Conceptual classification model for Sustainable Flood Retention Basins. , 2009, Journal of environmental management.