Unconventional Water Resources: Global Opportunities and Challenges

Water is of central importance for reaching the Sustainable Development Goals (SDGs) of the United Nations. With predictions of dire global water scarcity, attention is turning to resources that are considered to be unconventional, and hence called Unconventional Water Resources (UWRs). These are considered as supplementary water resources that need specialized processes to be used as water supply. The literature encompasses a vast number of studies on various UWRs and their usefulness in certain environmental and/or socio-economic contexts. However, a recent, all-encompassing article that brings the collective knowledge on UWRs together is missing. Considering the increasing importance of UWRs in the global push for water security, the current study intends to offer a nuanced understanding of the existing research on UWRs by summarizing the key concepts in the literature. The number of articles published on UWRs have increased significantly over time, particularly in the past ten years. And while most publications were authored from researchers based in the USA or China, other countries such as India, Iran, Australia, and Spain have also featured prominently. Here, twelve general types of UWRs were used to assess their global distribution, showing that climatic conditions are the main driver for the application of certain UWRs. For example, the use of iceberg water obviously necessitates access to icebergs, which are taken largely from arctic regions. Overall, the literature review demonstrated that, even though UWRs provide promising possibilities for overcoming water scarcity, current knowledge is patchy and points towards UWRs being, for the most part, limited in scope and applicability due to geographic, climatic, economic, and political constraints. Future studies focusing on improved documentation and demonstration of the quantitative and socio-economic potential of various UWRs could help in strengthening the case for some, if not all, UWRs as avenues for the sustainable provision of water

Analysis of Longitudinal Cracks in Crest of Doroodzan Dam

Doroodzan earth dam is located in 85 km north western of Shiraz. Because of the unusual seepage flow in the left abutment, in 1992 an impermeable vane was grouted there. Soon after that, obvious changes in water Table profile occurred and simultaneously some incremental number of cracks in left abutment crest was appeared. In present study seepage through left abutment has been analyzed by considering water Table changes. Different phreatic surface line was carried out from recent 20 years in order to find the most vulnerable one. In addition, Seismic loading used to get proper perception of seismic stability. First, by gathering data from piezometric head through the left abutment, most critical phreatic line in left abutment section of dam was observed. Then by using present phreatic surface in numerical modeling of critical section in the left abutment of dam, long term stability of downstream in different situation were calculated. The conditions were changed by increasing the saturation zone and the time which saturation zone stay through the downstream body

Optimization of Water-Energy-Food Nexus considering CO2 emissions from cropland: A case study in northwest Iran

Water-Energy-Food (WEF) Nexus and CO2 emissions for a farm in northwest Iran were analyzed to provide data support for decision-makers formulating national strategies in response to climate change. In the analysis, input–output energy in the production of seven crop species (alfalfa, barley, silage corn, potato, rapeseed, sugar beet, and wheat) was determined using six indicators, water, and energy consumption, mass productivity, and economic productivity. WEF Nexus index (WEFNI), calculated based on these indicators, showed the highest (best) value for silage corn and the lowest for potato. Nitrogen fertilizer and diesel fuel with an average of 36.8% and 30.6% of total input energy were the greatest contributors to energy demand. Because of the direct relationship between energy consumption and CO2 emissions, potato cropping, with the highest energy consumption, had the highest CO2 emissions with a value of 5166 kg CO2eq ha−1. A comparison of energy inputs and CO2 emissions revealed a direct relationship between input energy and global warming potential. A 1 MJ increase in input energy increased CO2 emissions by 0.047, 0.049, 0.047, 0.054, 0.046, 0.046, and 0.047 kg ha−1 for alfalfa, barley, silage corn, potato, rapeseed, sugar beet, and wheat, respectively. Optimization assessments to identify the optimal cultivation pattern, with emphasis on maximized WEFNI and minimized CO2 emissions, showed that barley, rapeseed, silage corn, and wheat performed best under the conditions studied.publishedVersio

Hydraulic and physical properties of managed and intact peatlands : application of the van Genuchten-Mualem models to peat soils

Key Points: • Land use such as agriculture and peat extraction alter the physical and hydraulic properties of the peat more strongly than other land uses • The top 30 cm peat depth was most affected by agriculture and peat extraction, as indicated by the bulk density, specific yield, and porosity values • The van Genuchten-Mualem soil water retention model was applied successfully to different layers of peat under different land useUndisturbed peatlands are effective carbon sinks and provide a variety of ecosystem services. However, anthropogenic disturbances, especially land drainage, strongly alter peat soil properties and jeopardize the benefits of peatlands. The effects of disturbances should therefore be assessed and predicted. To support accurate modeling, this study determined the physical and hydraulic properties of intact and disturbed peat samples collected from 59 sites (in total 3,073 samples) in Finland and Norway. The bulk density (BD), porosity, and specific yield (Sy) values obtained indicated that the top layer (0–30 cm depth) at agricultural and peat extraction sites was most affected by land use change. The BD in the top layer at agricultural, peat extraction, and forestry sites was 441%, 140%, and 92% higher, respectively, than that of intact peatlands. Porosity decreased with increased BD, but not linearly. Agricultural and peat extraction sites had the lowest saturated hydraulic conductivity, Sy, and porosity, and the highest BD of the land use options studied. The van Genuchten-Mualem (vGM) soil water retention curve (SWRC) and hydraulic conductivity (K) models proved to be applicable for the peat soils tested, providing values of SWRC, K, and vGM-parameters (α and n) for peat layers (top, middle and bottom) under different land uses. A decrease in peat soil water content of ≥10% reduced the unsaturated K values by two orders of magnitude. This unique data set can be used to improve hydrological modeling in peat-dominated catchments and for fuller integration of peat soils into large-scale hydrological models

A power market-based operation support model for sub-daily hydropower regulation practices

Highlights • Investigate the impact of instant energy demand on sub-daily river regime. • Introducing power market impact index. • Introducing system efficiency ratio index. • Provides an efficient tool for sustainable river management. • Assess the interaction of power market and regulation practices.With increasing power production from renewable energy sources, sub-daily variations in energy demand need to be balanced. Today, hydropower is commonly used as balancing power. In this study, we quantified the impact of capacity constraints, in terms of reservoir volume and hydropower capacity, on the potential to comply with instant energy demand. To evaluate the impact, we developed two new metrics, power market impact and system efficiency ratio, which are based on two threshold flow regimes derived from natural flow as lower threshold release and regulated flow (based on hourly energy prices) as upper threshold release. The operation support model comprises 96 different regulation scenarios based on varying combinations of hydropower and reservoir capacities. For each scenario, an hourly water balance was simulated, to obtain the highest complying with upper threshold release based on actual energy demand. We tested the framework on the Kemijoki river with defined thresholds based on the natural flow regime (tributary river Ounasjoki) and the hourly energy price in Finland in 2017, and estimated the impact of regulation on hourly flow regime at the Taivalkoski hydropower station. The annual flow regime impact in 2013, 2014 and 2015 was estimated to be 74%, 84% and 61%, respectively, while the monthly impact varied from 27% to 100%. Our framework for evaluating interactions between the power market and sub-daily regulation practices is a useful novel tool for sustainable river management and can be easily applied to different rivers and regions and evaluated for different timescales

Geospatial Artificial Intelligence (GeoAI) in the Integrated Hydrological and Fluvial Systems Modeling: Review of Current Applications and Trends

This paper reviews the current GeoAI and machine learning applications in hydrological and hydraulic modeling, hydrological optimization problems, water quality modeling, and fluvial geomorphic and morphodynamic mapping. GeoAI effectively harnesses the vast amount of spatial and non-spatial data collected with the new automatic technologies. The fast development of GeoAI provides multiple methods and techniques, although it also makes comparisons between different methods challenging. Overall, selecting a particular GeoAI method depends on the application's objective, data availability, and user expertise. GeoAI has shown advantages in non-linear modeling, computational efficiency, integration of multiple data sources, high accurate prediction capability, and the unraveling of new hydrological patterns and processes. A major drawback in most GeoAI models is the adequate model setting and low physical interpretability, explainability, and model generalization. The most recent research on hydrological GeoAI has focused on integrating the physical-based models' principles with the GeoAI methods and on the progress towards autonomous prediction and forecasting systems

What conditions favor the influence of seasonally frozen ground on hydrological partitioning? : a systematic review

The influence of seasonally frozen ground (SFG) on water, energy, and solute fluxes is important in cold climate regions. The hydrological role of permafrost is now being actively researched, but the influence of SFG has received less attention. Intuitively, SFG restricts (snowmelt) infiltration, thereby enhancing surface runoff and decreasing soil water replenishment and groundwater recharge. However, the reported hydrological effects of SFG remain contradictory and appear to be highly site- and event-specific. There is a clear knowledge gap concerning under what physiographical and climate conditions SFG is more likely to influence hydrological fluxes. We addressed this knowledge gap by systematically reviewing published work examining the role of SFG in hydrological partitioning. We collected data on environmental variables influencing the SFG regime across different climates, land covers, and measurement scales, along with the main conclusion about the SFG influence on the studied hydrological flux. The compiled dataset allowed us to draw conclusions that extended beyond individual site investigations. Our key findings were: (a) an obvious hydrological influence of SFG at small-scale, but a more variable hydrological response with increasing scale of measurement, and (b) indication that cold climate with deep snow and forest land cover may be related to reduced importance of SFG in hydrological partitioning. It is thus increasingly important to understand the hydrological repercussions of SFG in a warming climate, where permafrost is transitioning to seasonally frozen conditions

Analysis of lake and river flow regime alteration to assess impacts of hydraulic structures

Abstract A key challenge in Integrated Water Resources Management (IWRM) is determination of environmental flow (EF). This is relevant in all water use scenarios and river regulation work. Water use and management alter water availability for ecosystems and the timing and distribution of runoff. Increased water consumption and allocation of water to different types of consumption impose pressures on aquatic ecosystems, affecting their status and ability to deliver important services, well–known examples being the Aral Sea in Asia and Lake Chad in Africa. This thesis presents new methods to determine the impacts of hydraulic structures on the flow regime of lakes and rivers. Methods to quantify different characteristics of flow in a non–dimensionless way are also presented. These tools allow more environment–based regulation of flow regimes. By using three main flow characteristics of river regime (magnitude, timing and intra–annual), three impact factors, MIF (magnitude impact factor), TIF (timing impact factor) and VIF (variation impact factor), were developed. Combining these impact factors produced a new river impact (RI) index to assess the impacts of hydraulic structure using monthly flow data. Based on RI variations, a classification was developed rating impacts along a scale from ‘Low’ to ‘Drastic’. The importance of climate patterns and river flow regime in controlling lake levels was examined. The lake simulation results were compared using a new index, Degree of Lake Wetness (DLW) and lake response time to changes in hydrology or climate was evaluated. Environmental flow allocation and optimisation of annual EF distribution are critical for ecosystem health. Flow release from reservoirs can be partly supplemented or compensated for by natural runoff from downstream (residual) catchment areas. In a new hydrological approach, optimal intra–annual flow regime for EF can be estimated while considering water inflow from the downstream residual sub-catchment. This thesis provides methods and indices to help quantify river and lake regimes, better understand the possible impacts of changes and manage these impacts optimally. This knowledge is crucial for decision making about EF regimes and achieving water release patterns from dams and hydropower that minimise the hydrological, morphological and biological impacts.Tiivistelmä Integroidun vesivarojen suunnittelun ja hallinnan (IWRM) yhtenä haasteena on ympäristövirtaaman määrittäminen valuma–alue-tasolla. Tämä on tärkeää arvioitaessa säännöstelyn ja vesirakentamisen ympäristövaikutuksia. Vedenkäyttö ja hallinta muuttavat veden saatavuutta jokiekosysteemissä ja virtaaman vuosittaista ajoittumista sekä jakautumista eri kuukausien välillä. Vesivarojen lisääntyvä käyttö eri tarkoituksiin voi vaikuttaa vesiekosysteemeihin ja niiden tuottamiin ekosysteemipalveluihin. Aral–järvi Aasiassa ja Chad–järvi Afrikassa ovat hyviä esimerkkejä veden liiallisesta käytöstä ja ympäristönäkökulman huomiotta jättämisestä. Väitöstyön keskeisin tavoite oli kehittää menetelmiä, joilla voidaan arvioida miten vesirakentaminen vaikuttaa jokien virtaamiin ja järvien vedenpintoihin. Jotta vesistövaikutuksia voidaan yleistää, menetelmät kehitettiin dimensiottomiksi. Nämä menetelmät luovat perustan ympäristöystävällisemmällä vesistöjen virtaamien säännöstelylle. Käyttäen kuukausittaista keskivirtaamaa ja kolmea tyypillisintä virtaamaluokkaa (suuruus, ajoittuminen ja vuodenaikainen vaihtelu), määritettiin uusi yhdistetty jokivaikutusindeksi (RI). Tämän indeksin avulla voitiin lopulta arvioida vesirakentamisen vaikutusta. Perustuen RI-indeksiin, usean joen vesirakentamisen vaikutuksia arvioitiin luokittelemalla vaikutukset vähäisiksi tai merkittäviksi. Työssä tarkasteltiin ilmaston vaihtelun ja jokien virtaamaolosuhteiden vaikutusta järvien vedenpintoihin. Järvisimuloinnin tuloksia verrattiin puolestaan käyttäen indeksiä, joka kuvaa järvessä tapahtuvia muutoksia suhteessa hydrologisiin ja ilmastollisiin olosuhteisiin. Väitöskirja käsittelee myös ympäristövirtaamien (EF) keskeisiä kysymyksiä: vedenkäytön jakautumista ja vuosittaisen virtaaman optimointia ympäristövirtaaman näkökulmasta. Työssä käytetään uutta hydrologista lähestymistapaa arvioimaan ympäristövirtaaman optimoitua kausivirtaamavaihtelua. Tässä lähestymistavassa vesivarastoaltaista lähtevää virtaamaa voidaan osittain täydentää tai kompensoida alapuoliselta valuma–alueelta tulevalla virtaamalla. Väitöstyön tulokset lisäävät ymmärrystä vesivarojen kestävästä käytöstä. Lisäksi työssä kehitetyillä menetelmillä voidaan määrittää ja optimoida jokien ja järvien virtaamaolosuhteita erilaisissa tilanteissa. Väitöstyö tarjoaa uusia käytäntöjä päätöksentekoon liittyen ympäristövirtaamaolosuhteisiin ja -jakaumiin vesivoima- ja vedenkäyttökysymyksissä ottaen huomioon hydrologiset, morfologiset ja biologiset rajoitteet

Energy analysis in Water-Energy-Food-Carbon Nexus

This study evaluated the comprehensive Water-Energy-Food-Carbon Nexus (WEFC) by focusing on energy assessment in northwest Iran. The energy evaluation indices for different products were calculated by estimating the total input and output energies. Multi-objective optimization based on five individual objectives and WEFC Nexus policies was used to identify the optimal land-use allocation of wheat, barley, rapeseed, and sugar beet, silage corn, and potato while minimizing water and energy consumption and CO2 emissions, and maximizing food production and profit. The results indicate that the suggested framework provides a practical methodology for determining the optimal land-use allocation considering quantitative WEFC Nexus. To increase economic efficiency and reduce energy consumption, agricultural practices and policy recommendations should be adopted, including promoting renewable energy sources, implementing energy-saving technologies, improving fertilizer management, improving crop rotation practices, conservation tillage, and improving water management and adoption of sustainable farming practices. The results allow policymakers to optimize multiple resources and recommend the best resource allocation under recommendation policy, technology, and constraints to achieve sustainable development in agriculture

Projection of Future Meteorological Droughts in Lake Urmia Basin, Iran

Future changes (2015–2100) in precipitation and meteorological droughts in Lake Urmia Basin were investigated using an average mean ensemble of eight general circulation models (GCMs) with high-resolution datasets in socioeconomic pathway scenarios (SSPs) from the Coupled Model Intercomparison Project (CMIP6). In order to project the drought, the standardized precipitation index (SPI) was calculated. Overall, the results revealed that precipitation in Lake Urmia Basin will decrease by 3.21% and 7.18% in the SSP1-2.6 and SSP5-8.5 scenarios, respectively. The results based on 6-month-timescale SPI indices projected more “Extremely dry” events in SSP5-8.5 scenarios. The frequency of “Extremely dry” months in SSP5-8.5 compared to SSP1-2.6 is expected to increase by 14, 7, 14, 10, 5, 14, and 7 months for the Mahabad, Maragheh, Saqez, Sarab, Tabriz, Takab, and Urmia stations, respectively. In contrast, the frequency of “Extremely wet” months will decline for all stations in Lake Urmia Basin. The results of this study provide useful insight for considering drought prevention measures to be implemented in advance for Lake Urmia Basin, which is currently experiencing various environmental issues