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Articles 541 - 570 of 2513
Full-Text Articles in Geography
Analysis Of Container Throughput: Demand Forecast And Seaport Competitiveness Assessment, Hussain Talat Sulaimani
Analysis Of Container Throughput: Demand Forecast And Seaport Competitiveness Assessment, Hussain Talat Sulaimani
Dissertations
Seaports play a crucial role in the container industry, where they act as important nodes in the transport chain to facilitate international trade. In a competitive market, port capacity plays a significant role in defining its competitive position to attract demand and avoid congestion. Failing to provide suitable capacity results in the loss of market share. Therefore, port decision-makers face the challenge of maintaining and developing suitable port facilities to provide efficient services to port users. One of the aspects that decision-makers consider in the planning and development process is analyzing container demand. The analysis of container demand can be …
Changes In The Flood Plains And Water Quality Along The Himalayan Rivers After The Chamoli Disaster Of 7 February 2021, Sansar Raj Meena, Kushanav Bhuyan, Akshansa Chauhan, Ramesh P. Singh
Changes In The Flood Plains And Water Quality Along The Himalayan Rivers After The Chamoli Disaster Of 7 February 2021, Sansar Raj Meena, Kushanav Bhuyan, Akshansa Chauhan, Ramesh P. Singh
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
The Himalayan regions are vulnerable to all kinds of natural hazards. On 7 February 2021, a deadly disaster occurred near the Tapovan, in Uttarakhand, Himalayas. During the event, large volume of debris along with broken glacial fragments flooded the Rishi Ganga River and washed away the nearby hydropower plants (Rishi Ganga and Tapovan), which was revealed from detailed analysis of multi spectral and bi-temporal satellite data. We present the impact of the Chamoli disaster on the flood plains and water quality of Himalayan rivers, Rishi Ganga near Tapovan, Alaknanda near Srinagar and Ganga near Haridwar and Bijnor. We used four …
College Of Natural Sciences Newsletter, August 2021, College Of Natural Sciences
College Of Natural Sciences Newsletter, August 2021, College Of Natural Sciences
College of Natural Sciences Newsletters and Reports
Volume 2, Issue 8.
Page 1 Dean's Message
Page 2 Awards and Recognition
Page 3 Student Summer Research
Page 4 Media Coverage of CNS
Page 5 Wintrode Student Success Center
Page 6-7 Welcome to our new Faculty & Staff!
Page 8 One Day for State: Thursday, Sept. 2nd
Page 7 Open PRAIRIE Data; Fall Faculty Retreat 2021
A 155-Year Tree-Ring Based Record Of Warm And Dry Snow Droughts For The Cascade Range, Usa, Laura A. Dye
A 155-Year Tree-Ring Based Record Of Warm And Dry Snow Droughts For The Cascade Range, Usa, Laura A. Dye
UNLV Theses, Dissertations, Professional Papers, and Capstones
Contributing 50-80% to the surface water for the region, mountain snowpack is a pillar of the hydrologic cycle in the western US, and is projected to decrease to 44% by 2100 in the Cascade Mountains alone. The western US has recently been identified as a global snow drought hot spot, exhibiting more frequent, intensified, and lengthened snow drought events in recent decades. Only recently has the need to understand the types of snow droughts and their driving mechanisms become critical to understand and quantify. Recent research suggests ‘warm’ snow droughts caused by winter precipitation falling as rain rather than snow …
How Do You Visit: Identifying Addicts From Large-Scale Transit Records Via Scenario Deep Embedding, Canghong Jin, Dongkai Chen, Zhiwei Lin, Zemin Liu, Minghui Wu
How Do You Visit: Identifying Addicts From Large-Scale Transit Records Via Scenario Deep Embedding, Canghong Jin, Dongkai Chen, Zhiwei Lin, Zemin Liu, Minghui Wu
Research Collection School Of Computing and Information Systems
Identification of individuals based on transit modes is of great importance in user tracking systems. However, identifying users in real-life studies is not trivial owing to the following challenges: 1) activity data containing both temporal and spatial context are high-order and sparse; 2) traditional two-step classifiers depend on trajectory patterns as input features, which limits accuracy especially in the case of scattered and diverse data; 3) in some cases, there are few positive instances and they are difficult to detect. Therefore, approaches involving statistics-based or trajectory-based features do not work effectively. Deep learning methods also suffer from the problem of …
Use Of Earth Observation Satellite Data To Guide The Implementation Of Integrated Pest And Pollinator Management (Ippm) Technologies In An Avocado Production System, Marian Adan, Elfatih M. Abdel-Rahman, Stella Gachoki, Beatrice W. Muriithi, H. Michael G. Lattorff, Vivian Kerubo, Tobias Landmann, Samira A. Mohamed, Henri E.Z. Tonnang, Thomas Dubois
Use Of Earth Observation Satellite Data To Guide The Implementation Of Integrated Pest And Pollinator Management (Ippm) Technologies In An Avocado Production System, Marian Adan, Elfatih M. Abdel-Rahman, Stella Gachoki, Beatrice W. Muriithi, H. Michael G. Lattorff, Vivian Kerubo, Tobias Landmann, Samira A. Mohamed, Henri E.Z. Tonnang, Thomas Dubois
All Peer-Reviewed Publications
Insect pollinators provide an important ecosystem service by improving agricultural productivity. However, their populations have been declining in recent years due to excessive use of synthetic pesticides, climate and land use/land cover (LULC) changes. Climate and LULC changes have resulted in land fragmentation and consequently pollinator habitat loss. To conserve pollinators, there is a need for sustainable agricultural practices such as integrated pest and pollinator management (IPPM), which is a holistic landscape management approach that minimizes pesticides use while conserving pollinator abundance and diversity. This study aimed to use earth observation (EO) data to characterize landscape dynamics in terms of …
Leveraging Of Hyperspectral Remote Sensing On Estimating Biomass Yield Of Moringa Oleifera Lam. Medicinal Plant, Thulani Tshabalala, Elfatih M. Abdel-Rahman, Bhekumthetho Ncube, Ashwell R. Ndhlala, Onisimo Mutanga
Leveraging Of Hyperspectral Remote Sensing On Estimating Biomass Yield Of Moringa Oleifera Lam. Medicinal Plant, Thulani Tshabalala, Elfatih M. Abdel-Rahman, Bhekumthetho Ncube, Ashwell R. Ndhlala, Onisimo Mutanga
All Peer-Reviewed Publications
Moringa oleifera Lam. is a functional plant considered to be high in nutrients as well as medicinal properties, largely utilised in most of the developing countries. Therefore, early prediction of M. oleifera biomass yield is a valuable pre- and post-harvest planning strategy for ensuring a reliable supply of the plant products and for marketing purposes. Subsequently, the objective of the current study was to explore the potential use of hyperspectral data in predicting biomass yield of different cultivars of M. oleifera. Canopy hyperspectral data were collected on five M. oleifera cultivars when they were one month and two months old …
Weedy Relations: Narratives Of Invasion And Intimacy With Tamarisk In The Chihuahuan Desert, Shannon S. Pepper
Weedy Relations: Narratives Of Invasion And Intimacy With Tamarisk In The Chihuahuan Desert, Shannon S. Pepper
Geography ETDs
Tamarix spp., also known as salt cedar or tamarisk, is a shrub that has garnered a notorious reputation in North America as an invasive plant, with widespread policy and research advocating for its eradication in the Southwest U.S. and Northern Mexico. This study examines both governmental conservation documents and news articles to investigate narrative trends on tamarisk in the Southwestern U.S. and Northern Mexico as a contiguous region (the Chihuahuan Desert), expanding on current research to include transborder effects on the perception and management of introduced species. This paper asks: In the last 25 years, how has the movement, …
Бадхызские Архивы. Том 1, Р. И. Горелова, В. Фет
Бадхызские Архивы. Том 1, Р. И. Горелова, В. Фет
Books Published by MU Libraries in MDS
Gorelova, RI, Fet V, editors. The Badkhyz Archives, Vol. 1. Huntington, WV: Marshall University Libraries; 2021. 444 p.
This volume compiles memoirs and research information about the unique Badkhyz Natural Reserve, now in Turkmenistan, formerly at the southernmost point of the USSR. Established in 1941, the Reserve—nicknamed a Serengeti of Central Asia— housed many unique and endangered species, with an iconic wild ass, or kulan, preserved only there. The book is dedicated to the 80th anniversary of the Reserve and the 90th birthday of Yuri Gorelov (1931—2018), an extraordinary naturalist who worked in Badkhyz in 1956—1978. His own documentary stories, …
Urban Forests And Their Potential To Combat Food Insecurity: Analyzing Foods From Street Trees In New York City, Ny, Kristen Cooney
Urban Forests And Their Potential To Combat Food Insecurity: Analyzing Foods From Street Trees In New York City, Ny, Kristen Cooney
Environment and Sustainability Summer Fellows
There is growing recognition that urban forests have the potential to combat food insecurity via their edible parts, namely fruits, berries, and nuts. Many tree species commonly planted in urban spaces have edible parts that may fulfill the nutritional needs of city residents that are food insecure, but no one has analyzed the value of city street trees to understand this potential. I analyzed New York City’s street trees by each species and their edible parts to measure this potential.
Climate Model Evaluation Of Atmospheric Rivers Over The Contiguous United States, Ilan González-Hirshfeld
Climate Model Evaluation Of Atmospheric Rivers Over The Contiguous United States, Ilan González-Hirshfeld
Dissertations and Theses
Atmospheric rivers (ARs)--long corridors of intense atmospheric water vapor transport--significantly influence the hydrologic cycle and regional hydrometeorological extremes across the contiguous United States (CONUS). Ongoing and future climate change may alter AR characteristics and impacts, making confident climate model projections of future change, especially at regional scales, of critical importance. In order to better constrain uncertainty in such projections of future change, we perform a comprehensive climate model evaluation of AR climatology over the CONUS. Using an established AR detection algorithm, we evaluate the representation of ARs in historical simulations (1984-2013) from a suite of models participating in the sixth …
Projections Of Large-Scale Atmospheric Circulation Patterns And Associated Temperature And Precipitation Over The Pacific Northwest Using Cmip6 Models, Graham Patrick Taylor
Projections Of Large-Scale Atmospheric Circulation Patterns And Associated Temperature And Precipitation Over The Pacific Northwest Using Cmip6 Models, Graham Patrick Taylor
Dissertations and Theses
Projections of 500 hPa geopotential height (Z500) patterns over the Pacific Northwest of North America and their associated surface temperature, precipitation, and frequency of occurrence are assessed using models from the 6th phase of the Coupled Model Intercomparison Project (CMIP6). The self-organizing maps approach is applied to reanalysis data from the Modern-Era Retrospective Analysis for Research and Applications, version-2 (MERRA-2) to cluster daily Z500 anomalies into 12 representative patterns that span the range of historical circulation patterns. CMIP6 data for daily Z500 anomalies are mapped to each node for historical and end of century global warming experiments, and the resulting …
Rowing Concerns: Collaborative Governance And Stakeholder Determination In The Central Oregon's Deschutes Basin, Noel Vineyard
Rowing Concerns: Collaborative Governance And Stakeholder Determination In The Central Oregon's Deschutes Basin, Noel Vineyard
Dissertations and Theses
In 2019, a coalition of irrigation districts in central Oregon's Deschutes Basin submitted the Deschutes Basin Habitat Conservation Plan to the US Department of Fish and Wildlife. This Habitat Conservation Plan purported to have been constructed through a collaborative governance structure between the irrigation districts and various community stakeholders who all had interests in basin management, however segments of the Basin's river recreation community began to raise concerns that their voices were not included. The purpose of this research was to investigate how stakeholder status in the Deschutes Basin is created through collaborative water governance processes like development of the …
College Of Natural Sciences Newsletter, July 2021, College Of Natural Sciences
College Of Natural Sciences Newsletter, July 2021, College Of Natural Sciences
College of Natural Sciences Newsletters and Reports
Volume 2, Issue 7.
Page 1 Dean's Message
Page 2 Celebrating Three Years
Page 3 Summer School Travel
Page 4 Media Coverage of CNS
Page 5 Chemistry Teachers Visit
Page 5 Remembering Dr. Warren Hein
Page 6 Research Spotlights: Undergraduate Summer Experiences
Page 7 Open PRAIRIE Data; Grants Awarded in CNS
Deep Learning Approaches For Seagrass Detection In Multispectral Imagery, Kazi Aminul Islam
Deep Learning Approaches For Seagrass Detection In Multispectral Imagery, Kazi Aminul Islam
Electrical & Computer Engineering Theses & Dissertations
Seagrass forms the basis for critically important marine ecosystems. Seagrass is an important factor to balance marine ecological systems, and it is of great interest to monitor its distribution in different parts of the world. Remote sensing imagery is considered as an effective data modality based on which seagrass monitoring and quantification can be performed remotely. Traditionally, researchers utilized multispectral satellite images to map seagrass manually. Automatic machine learning techniques, especially deep learning algorithms, recently achieved state-of-the-art performances in many computer vision applications. This dissertation presents a set of deep learning models for seagrass detection in multispectral satellite images. It …
Codar's Surface Flow At The Mouth Of The Chesapeake Bay: Relation To Bay's And Atlantic's Forcing, Shelby Kathryn Henderson
Codar's Surface Flow At The Mouth Of The Chesapeake Bay: Relation To Bay's And Atlantic's Forcing, Shelby Kathryn Henderson
OES Theses and Dissertations
Surface currents in the lower Chesapeake Bay (CB) observed with land-based high-frequency radar antennas, or Coastal Ocean Dynamics Application Radar (CODAR), produce hourly 2D maps of current velocities used for search and rescue, pollution tracking, and fishing operations. This study analyzes the correlations between a 9-year record of surface currents measured by CODAR to coastal sea level, local wind forcing, river discharge into CB, and water transport through the Florida Straits, representing the Gulf Stream’s control on sea level along the U.S. mid-Atlantic coast. The goal of this study is to find ways to use CODAR data to detect and …
Towards An Integrated Assessment Of Sea-Level Observations Along The U.S. Atlantic Coast, Brett A. Buzzanga
Towards An Integrated Assessment Of Sea-Level Observations Along The U.S. Atlantic Coast, Brett A. Buzzanga
OES Theses and Dissertations
Sea levels are rising globally due to anthropogenic climate change. However, local sea levels that impact coastal ecosystems often differ from the global trend, sometimes by a factor of two or more. Improved understanding of this regional variability provides insights into geophysical processes and has implications for coastal communities developing resilience to ongoing sea-level rise. This dissertation conducts an investigation of sea level and its contributing processes at multiple spatial scales. Focusing on primarily interannual time-scales and data-driven approaches, new data sources and technologies are utilized to reduce current uncertainties.
First, sea-level trends are assessed over the global ocean and …
Geolocation Of Monitoring Wells Using Small Unmanned Aircraft Systems, Joel Deyoung
Geolocation Of Monitoring Wells Using Small Unmanned Aircraft Systems, Joel Deyoung
Graduate Theses and Dissertations
Groundwater monitoring wells are commonly installed on a property as part of an environmental investigation to observe hydrological subsurface conditions, facilitate the collection of groundwater samples, and predict the flow of groundwater across a site. In addition to their installation, monitoring wells should be surveyed or mapped as accurately as possible. Traditional surveying techniques have employed the use of global navigation satellite systems (GNSS) technologies or other surveying equipment. A common surveying approach is to use real-time kinematic (RTK) GNSS to accurately measure the coordinates of each monitoring well on the site.In recent years, drones, or small unmanned aircraft systems …
Of Biodiversity, Boundaries, And Distribution: The Myxomycetes Of The Philippines And Beyond, Sittie Aisha Bustamante Macabago
Of Biodiversity, Boundaries, And Distribution: The Myxomycetes Of The Philippines And Beyond, Sittie Aisha Bustamante Macabago
Graduate Theses and Dissertations
This dissertation contains a compilation of independently performed studies primarily focusing on the myxomycetes (plasmodial slime molds) from the Philippines and integrating local and worldwide data to demonstrate regional and global trends. The major themes include the following: (I) a review of the diverse group of spore-producing amoeboid protists, including the myxomycetes; (II-IV) diversity assessments in three different groups of islands in the Philippine archipelago; (V) mapping the myxomycetes found in the Philippines for databasing and analyzing the geocoded data; (VI) a study on regional boundaries, including the Philippines, using myxomycete species composition; and, (VII) creating a global species distribution …
Economically Optimal Nitrogen Side-Dressing Based On Vegetation Indices From Satellite Images Through On-Farm Experiments, Qianqian Du
Department of Agricultural Economics: Dissertations, Theses, and Student Research
Optimal N fertilizer rates for corn (Zea mays L.) vary substantially within and among fields, and by corn growth stages. Improving N side-dressing management can improve fertilizer use efficiency, farmers’ profitability, and the sustainability of crop production. The objective of this study is to introduce a framework along with a methodology that can find the site-specific economically optimal N rates (EONRs) within one field for a particular growing season. An on-farm experiment was conducted in the 2019 corn growing season. A base N rate was applied uniformly on the field. NDRE images from the Sentinel-2 satellite were observed during …
Riverology: Promoting Stewardship Of Rivers Through Youth Participation In Science And Art, Robin R. Dunbar
Riverology: Promoting Stewardship Of Rivers Through Youth Participation In Science And Art, Robin R. Dunbar
Institute for the Humanities Theses
This project focuses on mentoring children to help reduce marine debris in their local river by implementing one of ten lessons from an inquiry-based Riverology curriculum to empower youth voice, increase geo-literacy, and spatial thinking. Eighteen participants aged seven and eight, piloted Riverology Lesson 2: What Do I Know or Imagine about the Elizabeth River? that includes six steps: inquire, visualize, draw, share, act, and reflect. The children were asked to make drawings before and after viewing an Elizabeth River Story Map presentation (Dunbar, 2021a). The drawings were then compared to see if the participants included marine debris, stewardship solutions, …
Internal And External Factors’ Influence On Recycling: Insights From A Laboratory Experiment With Observed Behavior, Nooh Linder, Sonny Rosenthal, Patrik Sorqvist, Stephan Barthel
Internal And External Factors’ Influence On Recycling: Insights From A Laboratory Experiment With Observed Behavior, Nooh Linder, Sonny Rosenthal, Patrik Sorqvist, Stephan Barthel
Research Collection College of Integrative Studies
Internal psychological factors, such as intentions and personal norms, are central predictors of pro-environmental behavior in many theoretical models, whereas the influence from external factors such as the physical environment is seldom considered. Even rarer is studying how internal factors interact with the physical context in which decisions take place. In the current study, we addressed the relative influence and interaction of psychological and environmental factors on pro-environmental behavior. A laboratory experiment presented participants (N = 399) with a choice to dispatch a used plastic cup in a recycling or general waste bin after participating in a staged “yogurt taste …
Assessing Impacts Of Winter-Hay Feeding On Soil And Forage Nutrient Dynamics In A Rotationally-Grazed Pasture System In Arkansas, Lawrence Gordon Berry Iv
Assessing Impacts Of Winter-Hay Feeding On Soil And Forage Nutrient Dynamics In A Rotationally-Grazed Pasture System In Arkansas, Lawrence Gordon Berry Iv
Graduate Theses and Dissertations
More than 38 % of United States’ rural land area was used for grazing (i.e., pastureland or rangeland) ruminant animals in 2017, constituting the largest private land use group. The expansive nature of these lands means that grazing and pasture management decisions have potential to impact water quality as well as profit margins. As a result, beef producers are under increased pressure from economic and environmental standpoints to limit application of nutrients beyond those required to grow the forage needed for animal consumption. At the same time, a large amount of nutrients is recycled back to pasture systems directly from …
Examining Melt Pond Dynamics And Light Availability In The Arctic Ocean Via High Resolution Satellite Imagery, Austin Wesley Abbott
Examining Melt Pond Dynamics And Light Availability In The Arctic Ocean Via High Resolution Satellite Imagery, Austin Wesley Abbott
OES Theses and Dissertations
As the Arctic experiences consequences of climate change, a shift from thicker, multi-year ice to thinner, first-year ice has been observed. First-year ice is prone to extensive pools of meltwater (“melt ponds”) forming on its surface, which enhance light transmission to the ocean. Changes in the timing and distribution of melt pond formation and associated increases in under-ice light availability are the primary drivers for seasonal progression of water column primary production and warming. Observations of melt pond development and distribution require meter scale resolution and have traditionally been limited to airborne images. However, recent advances in high spatial resolution …
Methods For Detecting Floodwater On Roadways From Ground Level Images, Cem Sazara
Methods For Detecting Floodwater On Roadways From Ground Level Images, Cem Sazara
Computational Modeling & Simulation Engineering Theses & Dissertations
Recent research and statistics show that the frequency of flooding in the world has been increasing and impacting flood-prone communities severely. This natural disaster causes significant damages to human life and properties, inundates roads, overwhelms drainage systems, and disrupts essential services and economic activities. The focus of this dissertation is to use machine learning methods to automatically detect floodwater in images from ground level in support of the frequently impacted communities. The ground level images can be retrieved from multiple sources, including the ones that are taken by mobile phone cameras as communities record the state of their flooded streets. …
Implications Of The Links Between Demography And Ecology For The Economy Of The Republic Of Karakalpakstan, Keunimjay Allanazarov, Gulya Khodjaeva, Katherine Shields
Implications Of The Links Between Demography And Ecology For The Economy Of The Republic Of Karakalpakstan, Keunimjay Allanazarov, Gulya Khodjaeva, Katherine Shields
Karakalpak Scientific Journal
This article analyzes the impact of demographic factor on territorial organization of production in rural areas of the Republic of Karakalpakstan and reveals the main trends in production development. The analysis of statistical data of rural areas is given and proposals to improve the negative situation are given. More than 1306.8 thousand people live in rural areas of the Republic of Karakalpakstan, where they are concentrated in 1187 settlements, 26 urban settlements, and 11 towns of district subordination. All this testifies to the presence of large undeveloped production reserves and huge human potential. However, due to reduction of Amudarya water …
Weather And Crime: New York State, Yuna Kim
Weather And Crime: New York State, Yuna Kim
Student Theses
The present study assesses the degree to which temperature affects the crime rates in all 62 counties in the State of New York. Five different crimes (i.e., robbery, aggravated assault, burglary; larceny, and motor vehicle theft) for the year 2019 were selected from the Division of Criminal Justice Services of New York to be examined. The current study examined whether the rate of these crimes was associated with the changes in weather, with the assumption that higher weathers would lead to higher property and violent crimes, when controlling for the effect of various control variables. The findings suggest that the …
Individual Exposure Potential Assessment For Livestock Based On Spatial-Temporal Analysis Of Gps Data And Behavior Patterns Classification In Cove Wash Watershed, Arizona, Zhuoming Liu
Geography ETDs
This thesis examined the geospatial and temporal grazing patterns of domesticated livestock to model individual-level exposure potential to abandoned uranium mine (AUM) waste in a tribal community in the Southwest United States. Lotek Litetrack Global Positioning System (GPS) collars collected data at 20-minute-intervals for 2 flocks of sheep and goats during the Spring and Summer of 2019. Depending on the flock and individual animals, tracking time ranges from 10 days to four months. This research developed a GIS-based exposure potential framework that built on existing methodologies in time geography, GIS, and exposure mapping. This thesis aims to: 1) classify GPS …
A Quantitative Validation Of Multi-Modal Image Fusion And Segmentation For Object Detection And Tracking, Nicholas Lahaye, Michael J. Garay, Brian D. Bue, Hesham El-Askary, Erik Linstead
A Quantitative Validation Of Multi-Modal Image Fusion And Segmentation For Object Detection And Tracking, Nicholas Lahaye, Michael J. Garay, Brian D. Bue, Hesham El-Askary, Erik Linstead
Mathematics, Physics, and Computer Science Faculty Articles and Research
In previous works, we have shown the efficacy of using Deep Belief Networks, paired with clustering, to identify distinct classes of objects within remotely sensed data via cluster analysis and qualitative analysis of the output data in comparison with reference data. In this paper, we quantitatively validate the methodology against datasets currently being generated and used within the remote sensing community, as well as show the capabilities and benefits of the data fusion methodologies used. The experiments run take the output of our unsupervised fusion and segmentation methodology and map them to various labeled datasets at different levels of global …
A Community Of Fear: Emotion And The Hydro-Social Cycle In East Porterville, Michael Egge
A Community Of Fear: Emotion And The Hydro-Social Cycle In East Porterville, Michael Egge
Geography Masters Research Papers
Broader governance challenges driving water insecurity globally are well documented in the literature, however the power-laden relationships and emotions that shape water access at the household and community levels are yet to be fully investigated, especially in the context of water consolidation projects. In this article, we examine the role of emotions in mediating access to water and in the production of resource struggles among marginalized communities existing outside of conventional regulatory frameworks. We bring together two relational approaches – the hydro-social cycle and emotional political ecology – to examine water insecurity and how it manifests in the historically disadvantaged …