Off-grid desalination for irrigation in the Jordan Valley

Groundwater resources in many regions of the world are becoming increasingly depleted and salinized. With many aquifers straddling political boundaries, on-going depletion presents both a flash-point for conflict and an opportunity for cooperation. A salient example is that of transboundary groundwater resources in the Jordan Valley. These are shared among Israeli, Jordanian and Palestinian residents. Here we describe a collaborative project aiming to develop a desalination system for use by Palestinian farmers in the West Bank. Students have collaborated across borders in a programme of training and research, in which they have constructed desalination prototypes. These are based on a simple but efficient batch-reverse osmosis (RO) technology that incorporates energy recovery and brine recirculation to achieve 70%–76% recovery and specific energy consumption <1.3 kWh/m 3. The technology can be solar powered with minimal PV footprint. Being built almost entirely from off-the-shelf parts, the system is readily implemented with levels of engineering expertise available in many areas of the world. To test and upscale the technology, and to propagate the knowledge about it, it is being trialled at centres in the UK, Israel and soon in Palestine. It is concluded that the project demonstrates a valuable approach in regions facing transboundary groundwater challenges, and that further learning resources should be developed for free access to foster collaboration across borders

Wastewater monitoring of SARS-CoV-2 in on-grid, partially and fully off-grid Bedouin communities in Southern Israel

BackgroundWastewater based epidemiology (WBE) has become an important tool in SARS-CoV-2 surveillance and epidemiology. While WBE measurements generally correlate with observed case numbers in large municipal areas on sewer grids, there are few studies on its utility in communities that are off-grid (non-sewered).Methods and materialsTo explore the applicability of wastewater surveillance in our region, five Bedouin communities along the Hebron Stream in Southern Israel (Negev desert) were sampled. One point (El-Sayed) represents a community with partial connection to the sewer grid system and another point (Um Batin) represents a community with no access to the sewer grid system. The towns of Hura, Lakia, and Tel Al-Sabi/Tel Sheva were on-grid. A total of 87 samples were collected between August 2020 to January 2021 using both grab and composite sampling. RNA was extracted from the raw sewage and concentrated sewage. RT-qPCR was carried out with N1, N2, and N3 gene targets, and findings were compared to human case data from the Israeli Ministry of Health.ResultsSARS-CoV-2 was detected consistently over time in on-grid Bedouin towns (Lakia, Tel Sheva/Tel as-Sabi, and Hura) and inconsistently in smaller, off-grid communities (El-Sayed and Um Batin). The trend in maximum copy number/L appears to be driven by population size. When comparing case numbers normalized to population size, the amount of gene copies/L was inconsistently related to reported case numbers. SARS-CoV-2 was also detected from sewage-impacted environmental waters representing communities with no access to the wastewater grid. When grab sampling and composite sampling data were compared, results were generally comparable however composite sampling produced superior results.ConclusionsThe mismatch observed between detected virus and reported cases could indicate asymptomatic or “silent” community transmission, under-testing within these communities (due to factors like mistrust in government, stigma, misinformation) or a combination therein. While the exact reason for the mismatch between environmental SARS-CoV-2 signals and case numbers remains unresolved, these findings suggest that sewage surveillance, including grab sampling methodologies, can be a critical aspect of outbreak surveillance and control in areas with insufficient human testing and off-grid communities

MULTI-OPERAND BLOCK-FLOATING POINT ARITHMETIC FOR IMAGE PROCESSING

We extend the application of block-floating point arrays to multi-operand algebraic expressions consisting of additions and multiplications. The proposed method enables automatic runtime calculation of binary shifts of array elements. The shifts are computed for all elementary operations in an expression using a dataflow graph. The method attempts to preserve accuracy across the entire expression while avoiding overflow. A variety of common computer vision and image processing operations can be efficiently realized in fixedpoint processors using the proposed technique. It eliminates the need to hand-craft block-floating point implementations for each new operation or processor. The result is a reduction in development time and the likelihood of errors. Index Terms — block-floating point, fixed-point, image processing 1

Public Perceptions and attitudes towards declining water level in the Dead Sea basin: a multi-cultural analysis

International audienceThis paper presents the results of survey research on how people perceive the problem of the shrinking Dead Sea. Our approach emphasizes the concerns and priorities of residents on all sides of the basin. Correlational analysis between survey responses and socio-economic and socio-demographic factors were analyzed. This work is the first cross-cultural and multi-national environmental survey to be taken in the region. Results show how Israelis, Palestinians and Jordanians think about the issue and waysin which an equitable and sustainable solution can be found