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{
"count": 91729,
"next": "https://eartharxiv.org/api/keywords/?format=api&limit=100&offset=88300",
"previous": "https://eartharxiv.org/api/keywords/?format=api&limit=100&offset=88100",
"results": [
{
"word": "systems"
},
{
"word": "zooplankton assemblages"
},
{
"word": "network analyses"
},
{
"word": "distribution models"
},
{
"word": "ultramafic massifs"
},
{
"word": "mining activity"
},
{
"word": "butane"
},
{
"word": "hypoxic-ischaemic encephalopathy"
},
{
"word": "gas intoxication"
},
{
"word": "cerebral anoxia"
},
{
"word": "argon"
},
{
"word": "Systematics"
},
{
"word": "Rhinocerotidae"
},
{
"word": "Elasmotheriina"
},
{
"word": "Aragonian"
},
{
"word": "Príncipe Pío"
},
{
"word": "Madrid basin"
},
{
"word": "Spain."
},
{
"word": "Rodents"
},
{
"word": "Functional information"
},
{
"word": " coordination costs"
},
{
"word": " elite overproduction"
},
{
"word": " bureaucratic growth"
},
{
"word": " macrohistorical instability"
},
{
"word": " adaptive complexity"
},
{
"word": " informational load"
},
{
"word": "Coordination costs"
},
{
"word": "Macrohistorical instability"
},
{
"word": "Sustainable development"
},
{
"word": "Procedural Adaptability"
},
{
"word": "Central Venous Catheter"
},
{
"word": "Cardiac Arrest"
},
{
"word": "Keywords: Sectoral Shifts"
},
{
"word": " Energy use"
},
{
"word": " Per-capita GHG emissions"
},
{
"word": " Renewable\nenergy"
},
{
"word": " Panel econometrics"
},
{
"word": " developmental stress"
},
{
"word": " great tit"
},
{
"word": " personality"
},
{
"word": " string-pulling task"
},
{
"word": "personality"
},
{
"word": "string-pulling task"
},
{
"word": "Forest fires"
},
{
"word": " Fire breaks"
},
{
"word": " Geospatial analyses"
},
{
"word": " Embers"
},
{
"word": " Firebrands"
},
{
"word": " Natural hazard mapping"
},
{
"word": " Wildfire Disaster"
},
{
"word": "fire breaks"
},
{
"word": "geospatial analyses"
},
{
"word": "embers"
},
{
"word": "firebrands"
},
{
"word": "natural hazard mapping"
},
{
"word": "wildfire disaster"
},
{
"word": "Fire breaks"
},
{
"word": "Geospatial analyses"
},
{
"word": "Embers"
},
{
"word": "Firebrands"
},
{
"word": "Natural hazard mapping"
},
{
"word": "Wildfire Disaster"
},
{
"word": " Rice Cultivation"
},
{
"word": " Sustainability"
},
{
"word": " Rice Exports"
},
{
"word": " Water Use Efficiency"
},
{
"word": " Satellite remote sensing"
},
{
"word": "Rattus rattus"
},
{
"word": "stable isotope analysis"
},
{
"word": "Wastewater treatment plants"
},
{
"word": "wastewater lagoons"
},
{
"word": "emission reduction"
},
{
"word": "nature-based solutions"
},
{
"word": "environmental engineering Introduction Wastewater treatment plants are an important source of greenhouse gas emissions"
},
{
"word": " releasing large amounts of carbon dioxide (CO2)"
},
{
"word": " methane (CH4)"
},
{
"word": " and nitrous oxide (N2O) during treatment processes (Nguyen et al."
},
{
"word": " 2019). Globally"
},
{
"word": " wastewater treatment accounts for ~1.6% of total anthropogenic emissions"
},
{
"word": " which equates to 0.77 Gt (0.77 109 tonnes) CO2-equivalent per year (IPCC"
},
{
"word": " 2014). Considering CH4 and N2O emissions alone"
},
{
"word": " wastewater treatment accounts for an estimated 7-10% of global anthropogenic emissions (Maktabifard et al."
},
{
"word": " 2023). These non-CO2 greenhouse gases are of particular concern because their global warming potentials (GWPs) are 27 (CH4) and 273 (N2O) times greater than CO2 on a 100-year timescale (IPCC"
},
{
"word": " 2021). As a result"
},
{
"word": " wastewater treatment plants are considered hotspots for high-impact emissions. In recent decades"
},
{
"word": " emissions from the water sector have increased substantially. According to IPCC inventory estimates"
},
{
"word": " CH4 emissions increased by ~50% between 1990 and 2020"
},
{
"word": " with N2O emissions increasing by ~25% (IPCC"
},
{
"word": " 2007). This increase in emissions has been largely driven by rapid urbanisation and infrastructure expansion associated with economic and population growth (U.S. Environmental Protection Agency"
},
{
"word": " 2012). The sector’s growing climate footprint has prompted widespread decarbonisation pledges"
},
{
"word": " with several countries"
},
{
"word": " including Australia"
},
{
"word": " members of the European Union"
},
{
"word": " and China"
},
{
"word": " committing to net-zero targets by 2050-2060 (Maktabifard et al."
},
{
"word": " 2023). However"
},
{
"word": " meeting these targets requires innovative"
},
{
"word": " evidence-based strategies to deliver scalable emission reductions across the global water sector. \tWastewater is characterised by high nutrient concentrations"
},
{
"word": " particularly nitrogen and phosphorus (Carey & Migliaccio"
},
{
"word": " 2009). Treatment processes largely rely on microbial breakdown to remove these nutrients"
}
]
}