Search Results (6)

Rapid and timely evaluation and monitoring of the urban environment has gained significant importance in understanding the state of urban sustainability in metropolises. Multi-source remote sensing (RS) data are a valuable source for a comprehensive understanding of urban environmental changes in developing countries. However, in the Middle East, a region with several developing countries, limited study has been conducted to understand urban environmental changes. In this study, to evaluate the changes in the urban environment, 32 metropolises in the Middle East were studied between 2000 and 2019. For this purpose, a comprehensive environmental index (CEI) integrated with Google Earth Engine (GEE) platform for processing and analysis is introduced. The results show degraded environmental conditions in 19 metropolises based on a significant increasing trend in the time series of the CEI index. The highest increasing trend in the value of the CEI was observed in the cities of Makkah, Jeddah, Basra, Riyadh, and Sana’a. The results also show that the percentage of urban areas in all 32 cities that falls into the degraded class varies from 5% to 75% between 2005 and 2018. The results of CEI changes in megacities, such as Ajman, Tehran, Jeddah, Makkah, Riyadh, Karaj, and Sana’a show that these cities have increasingly suffered from the degradation of environmental conditions since 2001. According to the results, it is recommended to pay more attention to environmental issues regarding the future of urban development in these cities. The proposed approach in this study can be implemented for environmental assessment in other regions. Full article

Yemen is a water-scarce country with inadequate freshwater, considerable groundwater depletion, and a lack of adequate surface water. This study aims to assess water resources and identify the current water situation in Sana’a region, which includes the governorate of Sana’a and the country’s capital, Sana’a city. A variety of data from different sources was collected and analyzed. Remote sensing (RS) and GIS techniques in combination with the Arc Hydro model were utilized. Water demand and supply for domestic and agricultural purposes were estimated. The results show that there is insufficient water to meet the needs of the region’s yearly population growth rates of 3.2 and 4.5% in Sana’a governorate and Sana’a city, respectively. The amount of observed rainfall varies spatially and temporally, ranging between 160 and 367 mm per year. There are 233 water structures, 168 dams, and 65 reservoirs, with a storage capacity of 64.65 and 0.24 Mm³ (million cubic meters), respectively. In Sana’a basin, groundwater abstraction increased significantly from about 25 Mm³ in 1970 to around 330 Mm³ in 2020, while groundwater recharge was about 80 Mm³ in 2020. The estimated water demand for domestic use was in the range of approximately 106–128 and 199–241 Mm³ in Sana’a governorate, whereas in Sana’a city, it was in the range of about 249–302 and 607–737 Mm³ for 2020 and 2040, respectively. The estimated agriculture water demand was between 1.14 and 1.53 Bm³ (billion cubic meters) in 2007, and declined to 801 Mm³ and 1.16 Bm³ in 2018 due to the reduction in the cultivated area by about 33% from 2007 to 2018, which was attributed to a lack of water. The estimated water deficit ranges between 500 and 723 Mm³ during 2007 and 2018. This study concluded that the estimated water supply and demand for the past 12 years from 2007 to 2018 resulted in a supply that was less than the demand in each year, indicating that the available water resources were insufficient to fulfill demand. The significant gap between water supply and demand means withdrawal from the stored groundwater. Thus, groundwater is at high risk. Constructing more water harvesting structures, adopting water conservation, water resource management, and making groundwater artificial recharge are recommended to meet the water demand and conserve non-renewable resources in the coming decades. The results obtained from this study would help decision makers to make appropriate plans to achieve the SDGs in Sana’a region. Full article

The Global Task Force on Cholera Control (GTFCC) created a strategy for early outbreak detection, hotspot identification, and resource mobilization coordination in response to the Yemeni cholera epidemic. This strategy requires a systematic approach for defining and classifying outbreak signatures, or the profile of an epidemic curve and its features. We used publicly available data to quantify outbreak features of the ongoing cholera epidemic in Yemen and clustered governorates using an adaptive time series methodology. We characterized outbreak signatures and identified clusters using a weekly time series of cholera rates in 20 Yemeni governorates and nationally from 4 September 2016 through 29 December 2019 as reported by the World Health Organization (WHO). We quantified critical points and periods using Kolmogorov–Zurbenko adaptive filter methodology. We assigned governorates into six clusters sharing similar outbreak signatures, according to similarities in critical points, critical periods, and the magnitude of peak rates. We identified four national outbreak waves beginning on 12 September 2016, 6 March 2017, 28 May 2018, and 28 January 2019. Among six identified clusters, we classified a core regional hotspot in Sana’a, Sana’a City, and Al-Hudaydah—the expected origin of the national outbreak. The five additional clusters differed in Wave 2 and Wave 3 peak frequency, timing, magnitude, and geographic location. As of 29 December 2019, no governorates had returned to pre-Wave 1 levels. The detected similarity in outbreak signatures suggests potentially shared environmental and human-made drivers of infection; the heterogeneity in outbreak signatures implies the potential traveling waves outwards from the core regional hotspot that could be governed by factors that deserve further investigation. Full article

The storm onset on 7 September 2017, triggered several variations in the ionospheric electron density, causing severe phase fluctuations at polar latitudes in both hemispheres. In addition, although quite rare at high latitudes, clear amplitude scintillations were recorded by two Global Navigation Satellite System receivers during the main phase of the storm. This work attempted to investigate the physical mechanisms triggering the observed amplitude scintillations, with the aim of identifying the conditions favoring such events. We investigated the ionospheric background and other conditions that prevailed when the irregularities formed and moved, following a multi-observations approach. Specifically, we combined information from scintillation parameters and recorded by multi-constellation (GPS, GLONASS and Galileo) receivers located at Concordia station (75.10°S, 123.35°E) and SANAE IV base (71.67°S, 2.84°W), with measurements acquired by the Special Sensor Ultraviolet Spectrographic Imager on board the Defense Meteorological Satellite Program satellites, the Super Dual Auroral Radar Network, the Swarm constellation and ground-based magnetometers. Besides confirming the high degree of complexity of the ionospheric dynamics, our multi-instrument observation identified the physical conditions that likely favor the occurrence of amplitude scintillations at high latitudes. Results suggest that the necessary conditions for the observation of this type of scintillation in high-latitude regions are high levels of ionization and a strong variability of plasma dynamics. Both of these conditions are typically featured during high solar activity. Full article

The objectives of this paper are to present the dynamic of organic food and farming (OFF) research and innovation, to outline challenges in deploying programs and accessing funding, and to define key actions to foster the development of tailored quality research on organic farming in Italy. The baseline starts from the main outcomes that emerged during the World Café held in the frame of the Salone Internazionale del biologico e del naturale (SANA Expo) in 2018, where the Italian OFF research community met to build a convergence on scope and modus operandi in the research endeavor. These outcomes were examined in the light of the key features of the research and innovation projects funded in Italy in the last 10 years, respectively by the Italian Ministry of Agriculture and the regional administrations through the innovation support instruments in the Rural Development Plan programming periods. In the period 2009–2018, 70 research projects for a total funding of 21.081 million € (<0.1% of the value of the sector) were launched, addressing nine different topic areas. Over a similar period (2007–2019), 53 regional innovation projects addressing organic farming were activated for a total budget of 14.299 million € (<10% of the entire available funding). The implementation of interventions in the research and the innovation areas were often scattered in terms of the topics, disciplines, and types of supply chain/network addressed. The relatively high share of multi/interdisciplinary research and innovation projects as well as the acknowledgement of the multi-actor approach as a fundamental step toward co-research and co-innovation were upshots that emerged from our analysis. The outcomes of this study can be used by competent national and the regional authorities to design their future research and innovation policies and interventions. Full article

We disseminate the recruitment strategies used in the five-year VidaSana study (started in 2017) in the Midwest region of the United States, targeting recently arrived Hispanic immigrants. VidaSana aims to follow immigrants within six months of arrival for 24 months to (1) characterize features of networks (personal and community) that improve or undermine dental health; and (2) further refine methods to quantify the evolution of egocentric networks, using social network methodology. We implemented several strategies to promote and recruit potential participants into the study. We collaborate with agents serving Indiana’s Hispanic communities using three levels of visibility. The broad level includes radio advertisements, TV interviews, newspaper advertisements, and targeted Facebook advertisements. Intermediate level visibility includes posting flyers in schools, employment agencies, immigrant welcome centers, and Hispanic businesses; making announcements at church/temple and school events; tabling at community, church and school events; and a pervasive adaptation of our strategies to the requirements of our partners. Lastly, the individualized level includes direct referrals by partners through word of mouth. From the initial 13 months of recruitment (494 screened contacts and 202 recruited participants), the most successful recruitment strategies appear to be a combination of intermediate- and individual-level strategies; specifically, face-to-face recruitment at school events, direct referrals from our community partners, and tabling at community/school/church events. The current interim findings and future final findings will help guide recruitment and retention strategies for studies focused on immigrants in the current climate of heightened immigration regulations and enforcement. Full article