A multi-regional input-output analysis of ozone precursor emissions embodied in Spanish international trade

Higher levels of ozone in the troposphere is a severe threat to both environment and human health. Many countries are concerned about the effects that critical levels of ozone have on them. Countries pollute to satisfy their domestic and external demand (production perspective) and, at the same time, these countries also generate emissions abroad indirectly via their imports and via their domestic production (consumption perspective). Spain is one of the EU countries with the highest pollution records in the emissions of tropospheric ozone precursor gases. A multiregional input-output model (MRIO) allows us to analyze the total emissions embodied in Spanish international trade in 35 sectors within the EU area and the rest of the world. MRIO models, are commonly chosen as they provide an appropriate methodological framework for complete emissions footprint estimates at the national and supranational level The results show that the most polluting sectors involved in Spanish trade are Agriculture, Basic Metals, Coke and Refined Petroleum Production. Some policy recommendations follow these results; for example, a higher number of environmental regulations focused on the Agricultural sector, such as the introduction of codes of good practices in the use of fertilizers and the promotion of cleaner production technologies might lead to less burden to the environment.Ministerio de economía y competitividad (España) ECO 2014-56399-R. Claves para Desacoplar Crecimiento y Emisiones de Co2 en EspañaCátedra de economía de la energía y del medio ambiente (Universidad de Sevilla)Fundación Roger TornéJunta de Andalucía. SEJ 13

Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts (version 2)

As the negative impacts of hydrological extremes increase in large parts of the world, a better understanding of the drivers of change in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However, there is a lack of comprehensive, empirical data about the processes, interactions and feedbacks in complex human-water systems leading to flood and drought impacts. To fill this gap, we present an IAHS Panta Rhei benchmark dataset containing socio-hydrological data of paired events, i.e. two floods or two droughts that occurred in the same area (Kreibich et al. 2017, 2019). The contained 45 paired events occurred in 42 different study areas (in three study areas we have data on two paired events), which cover different socioeconomic and hydroclimatic contexts across all continents. The dataset is unique in covering floods and droughts, in the number of cases assessed and in the amount of qualitative and quantitative socio-hydrological data contained. References to the data sources are provided in 2023-001_Kreibich-et-al_Key_data_table.xlsx where possible. Based on templates, we collected detailed, review-style reports describing the event characteristics and processes in the case study areas, as well as various semi-quantitative data, categorised into management, hazard, exposure, vulnerability and impacts. Sources of the data were classified as follows: scientific study (peer-reviewed paper and PhD thesis), report (by governments, administrations, NGOs, research organisations, projects), own analysis by authors, based on a database (e.g. official statistics, monitoring data such as weather, discharge data, etc.), newspaper article, and expert judgement. The campaign to collect the information and data on paired events started at the EGU General Assembly in April 2019 in Vienna and was continued with talks promoting the paired event data collection at various conferences. Communication with the Panta Rhei community and other flood and drought experts identified through snowballing techniques was important. Thus, data on paired events were provided by professionals with excellent local knowledge of the events and risk management practices

Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts

As the negative impacts of hydrological extremes increase in large parts of the world, a better understanding of the drivers of change in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However, there is a lack of comprehensive, empirical data about the processes, interactions and feedbacks in complex human-water systems leading to flood and drought impacts. To fill this gap, we present an IAHS Panta Rhei benchmark dataset containing socio-hydrological data of paired events, i.e. two floods or two droughts that occurred in the same area (Kreibich et al. 2017, 2019). The contained 45 paired events occurred in 42 different study areas (in three study areas we have data on two paired events), which cover different socioeconomic and hydroclimatic contexts across all continents. The dataset is unique in covering floods and droughts, in the number of cases assessed and in the amount of qualitative and quantitative socio-hydrological data contained. References to the data sources are provided in 2022-002_Kreibich-et-al_Key_data_table.xlsx where possible. Based on templates, we collected detailed, review-style reports describing the event characteristics and processes in the case study areas, as well as various semi-quantitative data, categorised into management, hazard, exposure, vulnerability and impacts. Sources of the data were classified as follows: scientific study (peer-reviewed paper and PhD thesis), report (by governments, administrations, NGOs, research organisations, projects), own analysis by authors, based on a database (e.g. official statistics, monitoring data such as weather, discharge data, etc.), newspaper article, and expert judgement. The campaign to collect the information and data on paired events started at the EGU General Assembly in April 2019 in Vienna and was continued with talks promoting the paired event data collection at various conferences. Communication with the Panta Rhei community and other flood and drought experts identified through snowballing techniques was important. Thus, data on paired events were provided by professionals with excellent local knowledge of the events and risk management practices