The rural areas of the SUDOE present many common challenges related to the integrated water cycle: the scarcity of water resources (aggravated by climate change), the impact of agricultural and livestock activities on water quality (and the consequent difficulty of reconciling compliance with the European directive, the continuity of economic activity and the availability of water) and the lack of efficiency and profitability in management (with obsolete facilities and few human resources).
It is essential to strengthen collaboration networks between the many stakeholders involved in water resources management in order to implement efficient, sustainable and cost-effective techniques for water purification, reuse and treatment. To this end, it is necessary to create a new governance system based on territorial cooperation. Water is a common good and, as such, it does not understand borders.
The project will develop a strategy to improve water efficiency and quality in rural SUDOE areas in a context of climate change, 5 action plans for 4 organizations to improve water supply and treatment services, 3 pilot tests of cost-effective and sustainable solutions for water purification, purification and reuse, and a digital tool for 2 organizations to improve water management. In addition, it will improve the capacities of public authorities in 3 countries and the knowledge of water purification, treatment and reuse techniques like water treatment, reuse and purification techniques of 3 scientific institutions.
GestEAUr will adopt an innovative approach, addressing the integrated water cycle holistically (taking into account all its stages) and will go beyond existing practice, which tends to apply the same solutions whatever the characteristics of the territory where they are implemented.
Consequently, it will analyze and test cost-effective, cutting-edge and nature-based techniques (and combinations of techniques) (SBN) specific to the needs of rural areas in the SUDOE. It will also provide digital tools to optimize and facilitate their management and planning.

How to cite: Molina, J. L., Monsalvo, V., Encinas, A., and Lacasa, E.: Sustainable and digitalized water management in rural environments in the SUDOE area (GestEAUr project), EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-21484, https://doi.org/10.5194/egusphere-egu24-21484, 2024.

As urban populations swell and infrastructure demands escalate, managing resources sustainably becomes increasingly challenging. This paper focuses on the energy challenges inherent in distributed water management systems, using sewer mining as an example. Sewer mining is a distributed water management solution involving mobile wastewater treatment units that extract and treat wastewater locally. In this context, we examine the integration of renewable energy sources, specifically solar photovoltaics, to reduce reliance on traditional power grids, highlighting a pilot implementation at the Athens Plant Nursery in Greece since 2021. The study evaluates various system configurations, balancing performance with landscape integration, to propose a scalable and robust model for distributed water management. This approach not only addresses the direct energy requirements of water treatment systems but also contributes to the broader agenda of circular economy, by enhancing the sustainability and resilience of urban water infrastructure.

This work is supported by IMPETUS research project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101037084

How to cite: Zisos, A., Monokrousou, K., Tsimnadis, K., Dafnos, I., Dimitrou, K., Efstratiadis, A., and Makropoulos, C.: Leveraging renewable energy solutions for distributed urban water management: The case of sewer mining, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-7458, https://doi.org/10.5194/egusphere-egu24-7458, 2024.

In a context of growing global water demands, plus climate change affecting water resources availability, non-conventional water sources (like reclaimed water and desalinated seawater) are emerging as promising water supply alternatives. Given that agriculture is the major contributor to water withdrawals, this study analyzes if the use of non-conventional water for irrigation leads to a better performance of irrigation communities (ICs). To do so, the research includes several ICs from the Segura River Basin (southeast of Spain), a region with structural water deficit, which is pioneer regarding the use of non-conventional water; as well as ICs from the Apulia region (southeast of Italy), which also suffers from water scarcity problems, but is less experienced regarding the use of non-conventional water. A benchmarking analysis was carried out, based on a set of Key Performance Indicators (KPIs), such as irrigation efficiency, guarantee of water supply, energy costs or gross margin, among others. This methodology has been previously used in the framework of the water and drainage sector. Also, a Principal Component Analysis and Clustering Analysis were applied to explore potential dissimilarities between the studied ICs and their causes. Finally, a regression analysis was carried out to observe if the use of non-conventional water has any effects on the performance of the studied ICs. The results of this research may help to increase knowledge regarding the pros and cons of using these non-conventional water resources, depending on the socioeconomic, environmental and geographical context. This way, this study would contribute to promoting the use of non-conventional water in other regions, leaning towards a more sustainable use of water resources and, consequently, protecting and preserving water ecosystems.

How to cite: Ballesteros-Olza, M., Stempfle, S., Blanco-Gutiérrez, I., Gómez-Ramos, A., Giannoccaro, G., and De Gennaro, B.: Do non-conventional water resources lead to a better performance of irrigation communities? A comparative analysis between the regions of Murcia (Spain) and Apulia (Italy), EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-3941, https://doi.org/10.5194/egusphere-egu24-3941, 2024.

Flex crops—crops with multiple end-uses that can be flexibly interchanged—play an important role in our society. Due to high nutritional and energy contents, they became widely used in various industries, providing food, animal feed, biofuels, and other chemical components. However, a limited number of studies exists on the environmental pressures of such crops, specifically concerning water resources.

Here, we aim to quantify the water footprints of main flex crops—namely maize, oil palm, soya beans, sugar cane, coconut, cassava, rape seed, and sunflower—using a recently published database on gridded water footprints of the world’s major crops in the 1990–2019 period. Our study reveals three key developments:

• All flex crops experienced large water-productivity gains in response to increasing crop yields (less water is needed per tonne).
• The global water footprint of flex crops has increased by more than one trillion cubic metres as productivity gains were insufficient to meet rapidly growing demand.
• The production of flex crops has been concentrating around main exporting regions, most notably in Latin America and South-eastern Asia.

As demand keeps increasing, this raises a need for further research addressing the sustainability of flex crops. In particular, regarding the potential links to green and blue water scarcity, exposure of global supply chains to socio-economic and climatic risks, and the role of flex crops in our society.

How to cite: Mialyk, O., Berger, M., and J. Booij, M.: Increasing water footprints of flex crops, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-1342, https://doi.org/10.5194/egusphere-egu24-1342, 2024.

Sand dams are water harvesting structures built across ephemeral sandy rivers to increase water supply in drylands. Despite their effectiveness in reducing water scarcity for local communities and their recent traction in research and development, information on their distribution and characteristics are sporadic and largely unreported. This gap represents a major barrier for understanding the large-scale potential of such a Nature-based Solution for drylands and planning for new infrastructure. This paper presents a global database of sand dam locations and dimensions developed within a collaboration between research and development experts on the topic. We collected sand dam information on location from several sources, ranging from research reports to databases provided by practitioners. We then reviewed and enriched them based on visual inspection from Google Earth images. The georeferenced information provided by the database can support research development on the effectiveness of sand dams and support practitioners with science-based criteria for sand dam development across global drylands.

How to cite: Eisma, J., Piemontese, L., Castelli, G., Quinn, R., Mpofu, B., Graber Neufeld, D., Ryan, C., Ritchie, H., Villani, L., and Bresci, E.: Expert-based global database of sand dams dimensions and distribution across drylands, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-11369, https://doi.org/10.5194/egusphere-egu24-11369, 2024.

The Green Revolution in India, from 1967-68 to 1977-78, led to a significant shift in the country's agricultural landscape, transforming it from an insufficient food production country to a global agricultural power. This led to an increase in the use of pesticides, such as atrazine, which can pollute water sources and endanger aquatic habitats. This research aims to find sustainable and practical techniques for atrazine remediation within aquatic habitats. Literature suggests that macrophyte richness enhances the functionality of constructed wetlands (CWs), but the predominant practice is monocultures. The functional diversity within macrophyte communities is crucial for optimal performance of CWs for contaminant remediation. CWs with diverse growth forms exhibit enhanced plant growth and superior nutrient removal capabilities. The study evaluates atrazine removal efficacy of polyculture and monoculture plantation, monitoring the efficiency of various individual macrophyte, such as Canna indica and Phragmites Australis for atrazine detoxification. The findings could guide the formulation of sustainable and efficacious atrazine remediation strategies, safeguarding water quality and the integrity of aquatic ecosystems.

How to cite: Pilla, S. K., Jain, M., Ghosal, P. S., and Gupta, A. K.: Atrazine Removal in Constructed Wetlands: Efficacy of Monocultures versus Polycultures, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-15345, https://doi.org/10.5194/egusphere-egu24-15345, 2024.

Disinfection is a critical drinking water treatment procedure to guarantee water safety in urban water supply systems. However, an inevitable consequence is the generation of secondary pollutants, referred to as disinfection byproducts (DBPs). Toxicological researches have linked the ingestion of DBPs to harmful human health consequences like a higher risk of bladder cancer, reproductive problems, etc. Subsequently, the water authorities face immense challenges due to their existence in the drinking water. The foremost approach to limiting their generation in the drinking water is to eliminate their precursors prior-to disinfection. Humic acid (HA), a significant constituent of the natural organic matter in surface water, has been acknowledged as the primary precursor of DBPs. Thus, the present work aims to reduce humic acid content in water by magnesium oxide (MgO) adsorbent. To ascertain the mechanism of humic acid removal, characterizations of the adsorbents were conducted both before and after. At neutral pH level, the impacts of various process parameters are examined, including contact time, adsorbent dosage, initial humic acid concentration, and temperature. Moreover, studies were performed to assess the effects of different solution pH on the elimination of humic acid. The removal of humic acid was found to be increased at low pH. At pH 3, over 85% elimination was obtained. Furthermore, the role of several anions, including nitrate, sulfate, and chloride, in the adsorption of humic acid has also been evaluated. Overall, the present study would be conducive to proving the applicability of MgO for the reduction of HA and other organic matter from water and, hence, reduce the generation of DBPs.

How to cite: Sinha, R. and Ghosal, P. S.: Adsorptive removal of humic acid from water by magnesium oxide, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-18001, https://doi.org/10.5194/egusphere-egu24-18001, 2024.

Pumping energy is a key component of the groundwater governance challenge. Yet it is largely missing in the discourse on agricultural use of groundwater. A sub-category of literature studying groundwater-energy nexus tends to focus on groundwater depletion hotspots where entrenched interests and long-standing history restrict the range of feasible energy models. We simulate expected impacts of expanding groundwater irrigation under five different energy provision models in a region with among the lowest irrigation coverage, and therefore, free of path dependent policies. We find aquifer properties play a crucial role in mediating the groundwater-energy nexus. On average, the maximum volume of water that can be pumped from a well of a specific depth in an alluvial aquifer is approximately 150 times the volume that can be pumped from a well in a hard-rock aquifer. Therefore, managing uncertainty in groundwater consumption is a far greater challenge in alluvial than hard-rock aquifers. Uncertainty in groundwater consumption can be limited in hard-rock aquifers if the number of wells and depths of wells can be controlled - capital subsidies for well construction could be a potential policy. Our results imply that while solar pumps are a risky alternative in alluvial aquifers for maintaining current and future groundwater levels, they are relatively safe and among the most economical for expanding irrigation in hard-rock regions. Using a novel dataset comprising of biophysical and socioeconomic data, we find hard-rock regions to have limited irrigation coverage, high availability of annually replenishable groundwater, and high concentrations of marginalized farmers. Therefore, groundwater irrigation expansion in hard-rock areas could have dual benefits of ensuring future food security and targeting poverty reduction.

How to cite: Ray, S.: Balancing groundwater access and sustainability through energy pricing in India, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13972, https://doi.org/10.5194/egusphere-egu24-13972, 2024.

Humanity’s contemporary challenge in achieving global food security is sustainably feeding the rising global population. Intensive agricultural practices have powered green revolutions, helping nations attain self-sufficiency. However, these fertilizer-intensive methods and exploitative trade systems have created unsustainable agrarian systems. To probe the environmental consequences on production hubs, we map the fate of Nitrogen and Phosphorus in India’s interstate staple crop trade over the recent decade. Here, we analysed the spatiotemporal evolution of physical and virtual nutrient flow within India's interstate agricultural trade network, examining the environmental load on key production regions, assessing the sustainability of domestic wheat and rice trade systems in light of nutrient surplus, and providing policy recommendations for environmentally sustainable food security. Our examination of the cereal crop trade reveals that the Nation's food bowls contributing significantly towards domestic food security are sacrificing their environmental goals by becoming pollution-rich and water-poor. Our study emphasises policies focusing on redistributing funds from agricultural subsidies that aggravate environmental disparity to those incentivising sustainable production. The findings could offer a foundation for designing and exploring alternate trade network configurations that aim for environmental sustainability without compromising food security goals.

How to cite: Goyal, S., Dave, R., Bhatia, U., and Kumar, R.: Agricultural pollution in Indian Interstate Trade Network, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-7331, https://doi.org/10.5194/egusphere-egu24-7331, 2024.

Water and food security in the Indo-Gangetic Plain (IGP) is severely affected due to the intensive irrigated agriculture, growing population, and changing climate. Agricultural intensification with the water-intensive rice-wheat system has increased the water demand in India. The declining monsoon rainfall and increased irrigation with more reliance on groundwater sources have resulted in groundwater depletion over India’s fertile region, the Indo-Gangetic Plain (IGP), with high energy usage. Despite several agricultural technology developments, no improvement is found in calorie production from cereal crops per unit of water consumption in the IGP. Crop switching from water-intensive rice and wheat to climate-resilient nutri-cereals can be a potential solution for water sustainability, but other dimensions i.e. food supply, and farmers’ profit need to be considered for implementation. So, a multi-objective optimization framework is needed to address the social, economic, and environmental sustainability objectives which are conflicting in nature, to find the optimal cropping pattern. In this study, an optimization model is developed and applied for crop switching with objectives to maximize calorie production, and farmers’ profit and to minimize water consumption by reallocating the cropped areas between cereals at the district level. Application of the model suggests switching from rice to millet and sorghum in the Kharif Season (monsoon), and wheat to sorghum and barley in the Rabi season (winter), which could potentially decrease water consumption by 32%, increase calorie production by 39%, and elevate farmers' profits by 140%. Water and energy savings (with the replaced cropping pattern are higher than changing irrigation practices (i.e. from flood to drip). So, crop switching coupled with efficient irrigation practices (drip) contributes to saving more energy and water. These findings suggest the potential of crop switching to address the multidimensional sustainability challenges in agricultural practices in the IGP, with a scope of application to other regions grappling with similar issues. The implementation of crop switching is driven by multiple factors such as the willingness of farmers, incentives, and other strategies for farmers to shift crop practice, procurement of nutri cereals through Minimum Support Price, subsidized supply through the Public Distribution System, and consumer demand; thus, leaving an opportunity to explore these aspects in future studies for policy framing towards sustainable agricultural practices.

How to cite: Chakraborti, R., Davis, K. F., DeFries, R., D. Rao, N., Joseph, J., and Ghosh, S.: Crop switching in the Indo-Gangetic Plain of India can improve water and food sustainability with increased farmers’ profit, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-7880, https://doi.org/10.5194/egusphere-egu24-7880, 2024.

Food insecurity results from a complex interplay of climate, socio-economic and political drivers, with local food security being frequently influenced by events elsewhere. Recent unprecedented climate events and economic disruptions such as Covid-19 and the resurgence of large intra- and inter-state conflict, show the diverse and unpredictable nature of risk, which can suddenly impacting food production and supply chains.

Here, we present a coupled hydrology-crop production-trade model that is able to simulate, in real time, current and near-future risks to water and food security. The model combines an operational process-based simulation of global crop production and hydrology with an ML-powered trade module, trained on FAOs detailed trade matrix dataset. It is updated monthly with the latest ERA5 climate data from the Copernicus Data Store to assess current risk, and can be forced with seasonal forecasting and long term climate projections up to 2100. The model explains about 50% of yield variability in major growing regions - a critical characteristic for nowcasts or seasonal forecasts – and the majority of food trade and trends therein, but generally still underestimates the variability. As a first step to better reproduce observed crop yield anomalies we improved the simulation of growing seasons in the production model.  

By combining production with trade, we are able to estimate the impact of climate-related yield anomalies elsewhere, and to assess risks for water- and food security at the country, regional or global scale. Derived indicators provide a real-time insight into, for example, food production and storage per capita, crop water productivity, or crop or export specific water stress. Through continued evaluation and learning, we expect to be able to better identify emerging stresses in the food system and its drivers, and support early anticipation of potential future food security risks. This should ultimately lead to a better understanding of the complexity of the global food system and eventually result in a more sustainable food system.

How to cite: Gülpen, M., Siderius, C., van der Velde, Y., Cranko Page, J., Biermann, J., Hutjes, R., Nauta, L., Sutanto, S., and Biemans, H.: Tracking real-time impacts of climate variability and trade disruptions on water and food security , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-15307, https://doi.org/10.5194/egusphere-egu24-15307, 2024.

How much and what we eat and where it is produced can create huge differences in greenhouse gas emissions. Bridging food consumption with detailed household-expenditure data, this study estimates dietary emissions from 13 food categories consumed by 201 expenditure groups in 139 countries, and further models the emission mitigation potential of worldwide adoption of the EAT–Lancet planetary health diet. We find that the consumption of groups with higher expenditures generally creates larger dietary emissions due to excessive red meat and dairy intake. As countries develop, the disparities in both emission volumes and patterns among expenditure groups tend to decrease. Global dietary emissions would fall by 17% if all countries adopted the planetary health diet, primarily attributed to decreased red meat and grains, despite a substantial increase in emissions related to increased consumption of legumes and nuts. The wealthiest populations in developed and rapidly developing countries have greater potential to reduce emissions through diet shifts, while the bottom and lower-middle populations from developing countries would cause a considerable emission increase to reach the planetary health diet. Our findings highlight the opportunities and challenges to combat climate change and reduce food inequality through shifting to healthier diets.

How to cite: Li, Y., He, P., Shan, Y., Li, Y., Hang, Y., Shao, S., Ruzzenenti, F., and Hubacek, K.: Reducing climate change impacts and inequality of the global food system through diet shifts, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-14983, https://doi.org/10.5194/egusphere-egu24-14983, 2024.

China's increasing food consumption, particularly for animal products, presents a substantial challenge to mitigating greenhouse gas (GHG) emissions, not only within China but also extending to its trading partners. In this study, we employ the well-established food system integrated assessment model (GLOBIOM-China) to comprehensively investigate GHG emissions within the context of China's future food consumption. Our study indicates that in the baseline scenario (BAU), GHG emissions from China's food consumption side are projected to be 965 million tonnes of CO₂ equivalent (Mt CO₂ eq) by 2060, similar to the current level. Domestically, ruminant production accounts for a substantial 44% of total consumption-based emissions. Meanwhile, livestock-related methane emissions take prominence in terms of different gas categories, comprising a significant 45%. Virtual GHG emissions import is expected to decrease due to the deceleration of land use change, while the GHG emissions attributable to livestock product imports are projected to incrementally rise, eventually constituting 17.2% of the total food consumption-based emissions. Striving for food self-sufficiency (SS scenario) offers a pathway to diminishing China's food system GHG emissions and virtually imported emissions by 6% and 43%, respectively. However, this scenario presents an increase of domestic emissions by 2% and simultaneously poses challenges to domestic land use and other related indicators. Maintaining basic food self-sufficiency, and reducing calorie intake from animal sources and improving production practices contribute to a 216 Mt CO₂eq reduction of total GHG emissions. This approach not only holds promise for emission reduction but also brings broader benefits such as decreased agricultural commodity prices (by -28%), reduced nitrogen fertilizer uses (by -13%), diminished agricultural land requirement (by -10%), and only 2% decline in per capita calorie intake. Our study reconciles GHG mitigation strategies and food security within China's food system, thereby contributing significantly to global sustainable development.

How to cite: Zhao, H., Zhang, H., Havlik, P., and Chang, J.: Balancing food system greenhouse gas emissions reduction and food security in China, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-5637, https://doi.org/10.5194/egusphere-egu24-5637, 2024.

Small tropical islands in the Pacific Ocean are highly vulnerable to climate change. Nature-based solutions can help local communities adapt their local agricultural systems. Through a comparative analysis, we evaluated the effects of agroforestry management practices on soil temperature, soil water availability and storage, and carbon stocks in Santa Cruz Island (Galapagos Archipelago). We installed six monitoring sites that consist of two replicates per agroforestry management practices: (i) conservation of native forest, (ii) traditional agroforestry, and (iii) abandoned farmland in passive restoration. After pedological characterization of the sites, the soil physicochemical and hydrological properties were determined in the laboratory. Over 30 months (July 2019 to December 2021), the environmental sensors captured the hydrometeorological and soil physical and hydrological properties of the sites. This was done by a dense network of rain gauges, air temperature and relative humidity sensors, and time-domain reflectance probes that registered volumetric water content and soil temperature.

We measured differences in soil temperature, moisture availability and soil organic carbon content between soils under forest, traditional agroforestry and passive restoration. Forest soils are protected from direct solar radiation, and trees keep the soil 12% cooler than soils converted to agricultural land. Soil moisture is 20% higher under forest than under traditional agroforestry or abandoned farmland, and forest soils have a lower dry bulk density, lower saturated hydraulic conductivity and higher water retention capacity. The forests and sites under passive restoration store more than 377 Mg C. ha^-1 (1 m depth), about 50% more than under traditional agroforestry. The study shows that conserving forest patches in an agricultural landscape might be a promising strategy to mitigate increasing soil temperatures, agricultural drought, and decline in soil organic carbon content. However, more studies on landscape scale are needed to corroborate those results.

How to cite: Alomia, I., Montes, Y., Paque, R., Dixon, J., Molina, A., and Vanacker, V.: Agroforestry management practices as nature-based solutions for climate change adaptation in the Galapagos Islands, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-11353, https://doi.org/10.5194/egusphere-egu24-11353, 2024.

The United Kingdom (UK), a high consumer of meat, has traditionally relied heavily on the European Union for its meat imports. However, with the advent of Brexit, the UK now faces the imperative of identifying potential meat-importing nations. The choices of different meat import countries not only impact the economy and environment of the UK but also other countries around the world. This study builds the UK Meat Trade-centred World Input-Output Model (UK-MTWIO), incorporating diverse import data within various scenarios. With different scenarios considering costs, GHG emission and animal welfare, this study analyzes the economic, environmental and animal welfare impacts on the UK and other countries worldwide. The novelty involves the comprehensive consideration of scenario setting, the application of RAS method as well as the animal welfare analysis with the method of world input-output model. The study reveals that beef imports have the most significant impact on the imports of the lamb and pork. Meanwhile, the changes in the UK's meat trade may change the trade partners of some major meat-importing countries. In terms of environment, some import scenarios have the potential to contribute to GHG emissions reduction in the global agricultural sector: CHN, MEX, and JPN are typical countries that are significantly impacted. The results of this study provides valuable insights for policymakers making meat trade decisions post-Brexit.

How to cite: Wang, K., Liu, L., Chenoweth, J., and Morse, S.: The economic and environmental impacts of UK meat imports post-Brexit, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-4136, https://doi.org/10.5194/egusphere-egu24-4136, 2024.

Renewable energies (REs) are increasingly important in addressing the challenge of climate change. Their development and widespread use can significantly reduce greenhouse gas emissions from fossil fuels and help mitigate the effects of climate change. To achieve a "net-zero" carbon economy, the transition to a RE system must occur alongside a profound transformation of the agri-food sector. Agrivoltaics (AVs) offers an opportunity to achieve both of these goals simultaneously. AVs provides clean energy and it is an important tool for realizing a sustainable and circular food economy in rural and farming communities. Additionally, by placing photovoltaic (PV) panels over crop fields, AVs can avoid the competition between solar energy and agriculture for land-use. This can also help to mitigate the impact of climate change on crop productivity, which is expected to be negatively affected by a warmer and drier future climate.
In our study, we developed a large-scale sub-grid AVs model to explore the inter-links between climate, the AVs system, and crops. This model enables a comprehensive evaluation of the effectiveness and efficiency of an AVs configuration within the context of the climate-water-energy-food nexus. Our approach involves coupling a PV model with the soil-vegetation-atmosphere-transfer model ORCHIDEE (Organising Carbon and Hydrology In Dynamic Ecosystems) to construct the AVs module. The PV layer simulates the effects of PV panels, altering solar radiation and wind speed taken from atmospheric forcings. Subsequently, these altered variables, along with other key atmospheric variables like air temperature and precipitation required by ORCHIDEE, are used as inputs to the hydro-vegetation layer. Leveraging ORCHIDEE capability to quantify terrestrial water and energy balances at the land surface, this integration allows for a comprehensive simulation of crop ecosystem behavior within an AVs system. Net Primary Production (NPP), Water Use Efficiency (WUE), and PV power potential (PV_pot) are finally computed as ultimate outputs of our model, representing key indicators for the water-energy-food nexus. Focusing on the Iberian Peninsula and the Netherlands, we apply our model to assess three AVs configurations (fix-tilted array, sun tracking, sun antitracking) across three specific years (2015, 2018, 2020) for two types of crops. Specifically, we compare the performance of different configurations among themselves and against the situation without AVs systems to analyze different behaviors depending on climate conditions, crop type, and location and to explore the potential benefits of the AVs systems.

How to cite: Rapella, L., Drobinski, P., and Faranda, D.: Modelling Agrivoltaics in a climate perspective for water-energy-food nexus analysis, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-1491, https://doi.org/10.5194/egusphere-egu24-1491, 2024.