Over the years, desalination has become integral to water resources management, primarily in coastal semi-arid to arid regions. While desalinated seawater has mainly been supplied to municipal and ...high-revenue industries, the agriculture sector faces increasing irrigation demands, making it a potential user. This review assesses the sustainability of using desalinated seawater for irrigation, shedding light on its limitations and potential. Using desalinated water for irrigation presents challenges, including its high energy consumption, potential contribution to climate change, and agronomy-related concerns. However, evidence suggests that these challenges can be addressed effectively through tailor-fitted strategies. That said, conventional binary decision-making paradigms that label practices as good or bad and focus on a singular, isolated aspect are insufficient for evaluating the sustainability of desalination due to the complex and interconnected nature of the issues involved. To overcome this, the climate-water-energy-food (CWEF) nexus concept is proposed as a comprehensive framework for sustainability assessment. Adopting the CWEF nexus approach allows for a better understanding of the potential challenges associated with using desalinated water for irrigation, encompassing social, economic and environmental concerns. To ensure effective management of these challenges, it is crucial to tailor desalination projects to specific regional conditions and employ either prophylactic or corrective strategies. By embracing the CWEF nexus approach, informed decisions can be made regarding the future utilization of desalinated water for irrigation, contributing to broader sustainability goals.
•The agriculture sector is leaning more toward the use of desalinated water for irrigation.•Desalination poses challenges such as energy intensity, economic viability, and environmental/agronomic impacts.•Desalination's expansion into agriculture is intertwined with climate change, yielding varied outcomes, both positive and negative.•Reevaluating the role of desalination within the climate-water-energy-food security nexus.
Background
The outcome measure of neonatal hip screening is usually the radiographic acetabular index.
Objective
To assess the feasibility of magnetic resonance imaging (MRI) without sedation and ...compare the utility of outcome parameters measured from MRI images.
Materials and methods
The invitation for MRI scanning at 5 years of age was incorporated into follow-up for babies who had more than one ultrasound examination during treatment or surveillance.
Results
Diagnostic images were obtained in 132 of 134 children. The mean osseous acetabular index (standard deviation SD) was 16.6 (3.3) degrees for the right hip and 17.8 (3.2) for the left; the values for the cartilaginous acetabular index were 3.1 (3) and 3.4 (3.2). The mean downslope of a tangent to the lateral bony acetabular roof was 10.4 (4.5) and 9.0 (4.3) with respect to Hilgenreiner’s line and that of a line drawn through the apex to the margin of the acetabulum was 3.7 (4.6) and 3.9 (4.7). Intra- and interobserver variation was greater for measures specific to the lateral acetabular roof than for ossific and cartilaginous indices. There was significant negative correlation between the downslope of the tangent to the lateral roof index and the age at onset of treatment on both sides, but no significant correlation for ossific or cartilaginous acetabular indices or apex-marginal index.
Conclusion
MRI without sedation at 5 years of age is feasible as an outcome measure for hip screening programmes. Parameters specific to the lateral acetabulum may better reflect acetabular sufficiency, despite having greater observer variation than cartilaginous and ossific acetabular indices.
Java’s Brantas River Basin (BRB) is an increasingly urbanized tropical watershed with significant economic and ecological importance; yet knowledge of its land-use changes dynamics and drivers as ...well as their importance have barely been explored. This is the case for many other tropical watersheds in Java, Indonesia and beyond. This study of the BRB (1) quantifies the land-use changes in the period 1995–2015, (2) determines the patterns of land-use changes during 1995–2015, and (3) identifies the potential drivers of land-use changes during 1995–2015. Findings show that from 1995 to 2015, major transitions from forest to shrubs (218 km2), forest to dryland agriculture (512 km2), and from agriculture to urban areas (1484 km2) were observed in the BRB. Responses from land-user questionnaires suggest that drivers include a wide range of economic, social, technological, and biophysical attributes. An agreement matrix provided insight about consistency and inconsistency in the drivers inferred from the Land Change Modeler and those inferred from questionnaires. Factors that contributed to inconsistencies include the limited representation of local land-use features in the spatial data sets and comprehensiveness of land-user questionnaires. Together the two approaches signify the heterogeneity and scale-dependence of the land-use change process.
Lakes commonly form in mine pits following the end of mining. A good understanding of the pit lake water balance over future decades to centuries is essential to understand and manage environmental ...risks from the lake. Evaporation is often the major or only outflow from the lake, thus being an important determinant of equilibrium lake level and environmental risks. A general lack of in situ measurements of pit lake evaporation has meant that estimates have usually been based on pan coefficients derived for other contexts or on alternative unvalidated evaporation models. Our research used data from an evaporation pan and weather station that were floated on a pit lake in semi-arid central Queensland, Australia. A deterministic aerodynamic evaporation model was developed from these data to infill missing values, and an adjusted aerodynamic model was used to reconstruct long-term historical daily evaporation data. With an average bias of 6.5% during the measurement period, this long-term model was found to be more accurate than alternative simple models (e.g., using the commonly used pan coefficient of 0.7 gave a bias of 45%). The reconstructed data were then used to fit and assess a stochastic model for the generation of future evaporation and rainfall realisations, assuming a stationary climate. Fitting stochastic models at a monthly time step was found to accurately represent the monthly evaporation statistics. For example, the cross-correlation between historical rainfall and evaporation was within the 25 and 75 percentiles of the modelled values in 11 of 12 months and always within the 2.5 and 97.5 percentiles. However, the stationary nature of the model presented limitations in capturing interannual anomalies, with continuous periods of up to 6 years, where the modelled annual rainfall was consistently lower and modelled annual evaporation consistently higher than the historical values. Fitting stochastic models at a daily time step had problems capturing a range of statistics of both rainfall and evaporation. For example, in 6 of the 12 months, the cross-correlation between historical rainfall and evaporation was outside the modelled 2.5 and 97.5 percentiles. This likely arises from the complex patterns in transitions from wet to dry days in the semi-arid climate of the case study. While the long-term model and monthly stochastic model are promising, further work is needed to understand the significance of the observed errors and refine the models.
•The study highlights efforts to understand land-use change patterns and drivers using geospatial modeling approaches.•The sensitivity and uncertainty of the model are explored.•Influence of BAU and ...SPI scenarios play a role in future land-use configuration.•Implications of future land-use configuration to watershed management.
Understanding land-use dynamics and patterns and how they respond to management scenarios helps to develop sustainable land use policies. This study simulated future land uses in Brantas River Basin (BRB), East Java, Indonesia using Land Change Modeler (LCM) under policy scenarios. Following identification of twelve important biophysical and socio-economic spatial drivers, the LCM accurately simulated land-use changes over the period 1995–2015, with validation against the 1995 land use map giving an overall accuracy of 85–88 %. Under a business-as-usual scenario, the LCM predicted that during the period 2015 to 2035 continuing deforestation may leave forest cover accounting for only 4 % of the total BRB area, and cause declines in dryland from 45 % to 40 % and in rice-field farming from 24 % to 22 %. The results of that scenario also indicate the prospect of massive urban development, increasing from 18 % of the BRB area in 2015 to 30 % in 2035, with increasing threats to food security and water resources. Both percentage changes and a mean-weighted fractal dimension index suggest increased risks of forest fragmentation and urban aggregation. A spatial planning-influenced scenario, which aims to reduce forest loss and support watershed protection, is predicted to lead to 5.5 % forest cover, 37 % dryland, 29 % rice-field farming and 24 % urban area in 2035. Sensitivity analysis of the LCM showed that the model results were more sensitive to drivers, spatial resolution, and policy scenarios than to uncertainty in model parameters. It is concluded that despite some limitations, the LCM successfully provided" insights into policy impacts on land-uses in BRB, and the roles of forest and rice-field protection in spatial planning are essential in controlling urban development for watershed sustainability.
Abstract
Maintaining access to a sustainable water resource is becoming increasingly difficult in the midst of the ongoing global water crisis, emphasizing the importance of investing in alternative ...resources such as desalinated water. Throughout history, the desalination industry has adapted to the specific needs of an era or different environmental conditions by incorporating cutting-edge technologies. The general theme of this paper is the past, the present, and the future of the desalination industry. As such, this research aims to examine the evolution of the desalination industry over time, understand its current state, and ultimately use this knowledge to highlight some important considerations for its future. This review highlighted the immense influence of the energy market on the prevalence of desalination technology in a given region and/or eras. The information gathered here indicates that other sectors, such as agriculture, may need to rely on this unconventional water supply in the future, but there are certain factors ranging from socioeconomic to environmental concerns that need continued and increased research to facilitate the long-term, sustainable development of this practice.
A new approach to regionalization of conceptual rainfall-runoff models is presented on the basis of ensemble modeling and model averaging. It is argued that in principle, this approach represents an ...improvement on the established procedure of regressing parameter values against numeric catchment descriptors. Using daily data from 127 catchments in the United Kingdom, alternative schemes for defining prior and posterior likelihoods of candidate models are tested in terms of accuracy of ungauged catchment predictions. A probability distributed model structure is used, and alternative parameter sets are identified using data from each of a number of gauged catchments. Using the models of the 10 gauged catchments most similar to the ungauged catchment provides generally the best results and performs significantly better than the regression method, especially for predicting low flows. The ensemble of candidate models provides an indication of uncertainty in ungauged catchment predictions, although this is not a robust estimate of possible flow ranges, and frequently fails to encompass flow peaks. Options for developing the new method to resolve these problems are discussed.
Eastern Australia
Long-term monitoring of soil moisture is a time- and cost-intensive challenge. Therefore, meteorological drought indices are commonly used proxies of periods of significant soil ...moisture deficit. However, the question remains whether soil moisture droughts can be adequately characterised using meteorological variables such as rainfall and potential evaporation, or whether a more physically based approach is required. We applied two commonly used drought indices – the Standardized Precipitation Index and the Reconnaissance Drought Index – to evaluate their performance against soil moisture droughts simulated with the numerical soil water model Hydrus-1D. The performance of the two indices was measured in terms of their correlation with the standardised simulated monthly minimum soil water pressures, and their capability to detect soil moisture droughts that are potentially critical for plant water stress.
For three typical soil types and climate zones in Eastern Australia, and for two soil profiles, we have found a significant correlation between the indices and soil moisture droughts detected by Hydrus-1D. The failure rates and false alarm rates for detecting the simulated soil moisture droughts were generally below 50% for both indices and both soil profiles (the Reconnaissance Drought Index at Melbourne was the only exception). However, the complexity of Hydrus-1D and the uncertainty associated with the available, regionalised soil water retention curves encourage using the indices over Hydrus-1D in absence of appropriate soil moisture monitoring data.
Sydney Basin, New South Wales, Australia.
Some of Temperate Highland Peat Swamps on Sandstone of Sydney Basin overlie existing underground mining areas, which may impact the hydrological fluxes into ...and out of the swamps. Understanding and predicting these potential impacts and their consequences for swamps’ vegetation requires knowledge of the relevant physical properties of the soil, however such knowledge is almost completely absent from the literature. This study addresses this gap, and provides new insight into the degree and nature of variability between swamp sites, and between groups of swamps, the soil properties controlling these variabilities and the classification of these swamps in the context of peatland. Soil samples were collected up to a depth of 750 mm from ten sites in Upper Nepean and Newnes Plateau swamps. Samples were analysed for organic matter, bulk density, texture, saturated hydraulic conductivity and water retention characteristics.
Not only the organic matter, but also bulk density and sand content control soil physical properties of the swamps. Soil properties vary between swamps; however, the variabilities were not large relative to those found in peatlands globally. These THPSS of the Sydney Basin cannot be classified as peatland and so their soil parameters cannot be estimated through the generalisation of peatland soil physical properties. It is concluded that the insights into soil properties provide new scope for developing hydrological models to assist in hydrological and ecological impacts analysis of the swamps.
•Organic matter type and content affect soil physical properties of swamps.•Hydraulic parameters of swamps’ soil can be generalised for modelling.•Variabilities in swamps’ soil are not large, relative to those found in peatlands.•THPSS of Sydney Basin affected by mining cannot be considered as peatland.
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