In this unit, students investigate the history of the environmental justice (EJ) movement in the United States, situating it within the context of the US civil rights and environmental movements. Students also make connections to issues of environmental equity on a global scale. The unit serves as a foundation for exploring the scientific background of environmental justice issues in subsequent units, particularly the interrelatedness of hydrology and hydrologic concepts.

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This unit introduces the hydrological cycle to provide context for the module as a whole. It particularly focuses on those portions of the hydrological cycle that take place on land and that form the basis for water that is used by society. Students conduct a stakeholder analysis to better understand societal issues around water. Then the scientific exercise of the unit emphasizes quantitative approaches to describing the critical portions that humans have access to: surface water and shallow ground water. Students calculate residence times and fluxes between reservoirs and track water particles on an annual basis. They also explore available data sets for specific reservoirs such as snowpack and rivers.

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Online-adaptable: This exercise could be converted to online whole-class discussions/lectures and a breakout group activity. Would be best done synchronously.

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In this three to four class unit, students will:

Assess the case for a global water crisis and its relevance in America.
Expand their understanding of sustainability as a contestable concept and movement.
Consider water resource-management objectives through the lens of sustainability.
Analyze region-specific examples of unsustainable use of water for agriculture.

This is largely achieved via student discussion and evaluation of texts and statistics provided to them. The text and statistics are derived from a variety of disciplines, mostly not from the geosciences. As such, the unit is very interdisciplinary, requiring students to synthesize disparate information and take a holistic perspective on water issues.

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In this activity, students model the impact of land-cover changes on stormwater runoff using the EPA's National Stormwater Calculator (Calculator). The students are introduced to the Calculator through a tutorial. Students are provided with a particular site -- a residential neighborhood -- and model two land-use scenarios associated with it: (1) a pre-expansion scenario that includes current forest and developed land cover, and (2) a post-expansion scenario, under which the forest cover will be developed as low-intensity residential.

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In this activity, students model the impact of changes in land cover on stormwater runoff using the EPA's National Stormwater Calculator. Students mitigate increased stormwater runoff resulting from development with low impact development (LID) controls. Students assess the LID controls in terms of the ecosystem services that they are intended to replace and discuss alternative development designs to reduce the need for them.

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In this activity, students model the impact of a proposed land-use change for a local site using the EPA's National Stormwater Calculator (Calculator). Given a description of the proposed land-use change, students devise and execute a series of simulations in the Calculator that model its potential impact on stormwater retention. Using additional simulations, students explore changes to the site that utilize low impact development (LID) controls to mitigate stormwater runoff.

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This unit provides students with experience analyzing traditional (depth to water table measured in a well) and geodetic: GRACE (Gravity Recovery and Climate Experiment) data for monitoring changes in groundwater storage in the High Plains Aquifer. Variations across timescales are compared, from seasonal to interannual to decadal. This comparison highlights some of the challenges associated with quantifying changes in groundwater storage at the regional scale. Aquifer properties are used to consider changes in terms of both "depth to water table" and water storage. Students are asked to formulate explanations for the observed variations in the context of the water balance equation. Students compare their results to a multidecadal trend reported in the literature (Konikow, 2011).

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Online-ready: The exercise is electronic and could be done individually or in small online groups. Lecture is best done synchronously due to the technical nature. Discussion would be better that way too.

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Electrical measurement of unconsolidated soils in the laboratory.

Provenance: Lee Slater, Rutgers University-Newark
Reuse: This item is in the public domain and maybe reused freely without restriction.
Archie (1950) defined the term petrophysics to describe the study of the physics of rocks, particularly with respect to the fluids they contain. Although originally focused on geophysical exploration, petrophysics concepts are now used to interpret near surface geophysics measurements made to address environmental and engineering problems. This unit investigates relationships between these geophysical measurements and the physical and chemical properties of soils and sediments in the Earth's near subsurface. The specific focus is on the electrical properties of soils and how they are related to the ionic concentration of the pore fluids, the water content, porosity and grain size. Field results from a geophysical survey performed in Kearny Marsh, close to Harrier Meadow, are included to illustrate how electrical conductivity of a soil measured with an electromagnetic sensor is a good proxy for pore fluid ionic concentration, in this case related to contamination from a bordering landfill.

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In Unit 2, students learn how the techniques for water budgeting (covered in Unit 1) can be used to monitor both groundwater (High Plains Aquifer) and surface water (western mountain watershed) systems. Students interpret time-series plots that show the impact of drought years and wet years on underground water storage in the High Plains Aquifer and on snowpack and surface runoff in the western mountain watershed. They also consider the societal implications of water deficits through a series of pre-class readings, questions embedded in the assignments, and small and whole-group discussions. This unit can involve substantial computer time during which students use Excel to view and interpret hydrologic data. An alternative version with hard-copy graphs is also provided.

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Online-adaptable: Both parts of this unit are completely digital and thus at a logistical level it can be switched to online fairly easily. However, due to the relative complexity of the data investigations, there will still be quite a bit of instructor support needed and/or extended small group that should be arranged.

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Students will be introduced to the concept of a natural cycle. They are first asked to identify the different components of the hydrologic cycle. Students will be able to recognize the delicate balance between the individual elements of a large and complex system. Students will also be able to identify the interactions among parts of a natural system.

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Unit 2 engages students in topics related to the water cycle, both from natural and urban system perspectives. Students are assigned approximately 30 minutes of reading (short article) and are required to watch a 15-minute video before class to gain a basic understanding of the natural and urban water cycles, their components, and the impact of urbanization on runoff. Through short lectures, discussion questions, solution to example problems, and a group activity, students gain comprehension of the water cycle components, their spatial and temporal variability, water budget calculation, and the impacts of urbanization on surface water.

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Unit 2 opens a window into water accounting and reveals intensive water use that few people think about. How much water goes into common commodities? Have you considered how much water it takes to support our modern American lifestyle and agricultural trade? Water that is embedded in products and services is called virtual water. Looking at the world through the lens of virtual water provides a watery focus to thorny discussions about water such as: the pros and cons of globalization and long distance trade; self sufficiency vs. reliance on other nations; ecosystem impacts of exports; and the impacts of relatively cheap imports on indigenous farming. Unit 2 also introduces the concept of a water footprint. A water footprint represents a calculation of the volume of water needed for the production of goods and services consumed by an individual or country. In this unit students will calculate their individual footprints and analyze how the water footprints of countries vary dramatically in terms of gross volumes and their components. As a result of these activities, students will learn of vast disparities in water access and application. They will also be challenged to consider mechanisms or policies that could foster greater equity in water footprints.

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Near surface geophysical measurements are performed by moving sensors across the Earth's surface. Active geophysical sensors transmit a signal into the Earth and record a returned signal that contains information on the physical and chemical properties of the Earth (see Unit 2). This unit introduces the student to the basics of geophysical data acquisition using two techniques that record variations in the electrical conductivity (see Unit 2) of the Earth: [1] electrical imaging (EI), and [2] electromagnetic (EM) conductivity mapping.











Basic concept of electrical imaging measurements

Provenance: Lee Slater, Rutgers University-Newark
Reuse: This item is in the public domain and maybe reused freely without restriction.
Electrical imaging is a galvanic geophysical approach whereby electrical contact with the Earth is made directly via electrodes (typically metal stakes) that are inserted into the ground. Electromagnetic conductivity mapping is a non-contact approach whereby the physics of EM induction is used to sense changes in electrical conductivity. The advantages and disadvantages of using galvanic (EI) and non-contact (EM) techniques for measuring electrical conductivity are described. Ohm's Law is introduced and students investigate how electrical resistance measurements are related to the electrical conductivity of soils. Field implementation of both EI and EM techniques is demonstrated using surveys performed in Harrier Meadow as an example. Students investigate how variations in survey configuration parameters (e.g. electrode configuration and electrode spacing in EI, frequency and coil spacing in EM) control investigation depth (how far into the ground the signals sense) and spatial resolution (what size objects can be detected). The concept of pre-modeling a geophysical survey (i.e. running some simulations of likely effectiveness of the methods before going to the field) to evaluate expected investigation depth and sensitivity is introduced. The Excel-based Scenario Evaluator for Electrical Resistivity (SEER) tool provided by the United States Geological Survey (USGS) is used to demonstrate some key concepts.

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This unit shows how GPS records of surface elevation can be used to monitor groundwater changes. Students calculate secular trends in the GPS time series and then use the original and detrended records to identify sites that are dominated by the elastic response to regional groundwater changes versus those dominated by local subsidence. They then compare the magnitude and timescales of fluctuations in Earth's surface elevation that result from sediment compaction, regional groundwater extraction, and natural climatic variability. This unit provides students with hands-on experience of the challenges and advantages of using geodetic data to study the terrestrial water cycle. The case study area is in California and the GPS records include the period of the profound 2012 -- 2016 drought.

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Note: Although the term GPS (Global Positioning System) is more commonly used in everyday language, it officially refers only to the USA's constellation of satellites. GNSS (Global Navigation Satellite System) is a universal term that refers to all satellite navigation systems including those from the USA (GPS), Russia (GLONASS), European Union (Galileo), China (BeiDou), and others. In this module, we use the term GPS even though, technically, some of the data may be coming from satellites in other systems.

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Online-ready: The exercise is electronic and could be done individually or in small online groups. Lecture is best done synchronously due to the technical nature. Discussion would be better that way too.

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In this unit students will explore surface water and its relationship to the water cycle via watersheds and drainage divides. These topics will inform their analysis of the social and environmental impacts of the planned increase of hydroelectric dams in the Amazon. Case studies include the Ene River and the MaraÃÃn River in Peru.

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GPS data can measure ground elevation change in response to the changing amount of groundwater in valleys and snow cover in mountains. In this module, students will learn how to read GPS data to interpret how the amount of groundwater in the Central Valley of California is changing, in particular in reaction to the 2012 -- 2015 drought. They will then apply the skills they develop and knowledge they gain to demonstrate their understanding of how GPS data has implications for the future of groundwater resources in California.

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Online-ready: All exercises are electronic and could be done individually or in small online groups. Lecture as currently provided is best done in synchronous format to retain interactive components.

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In this unit, students examine detailed hydrologic data from one river to identify ways in which precipitation and stream discharge influence flooding which often impacts nearby human societies. They also research a local river and determine the hazard associated with flooding, describe historic flooding, and assess ways a local community mitigates the risks associated with flooding.

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Is groundwater mining sustainable? In Unit 4 students compare and contrast long-term (decades) groundwater well levels in six states representing the East Coast, West Coast, and Midwest Plains states. Satellite imagery maps of the well locations will give students an idea of the land cover, specifically the presence of irrigated crops. Using groundwater well data from the USGS, students will recognize the depletion of aquifers in the western United States (e.g., the Ogallala/High Plains Aquifer), or groundwater mining, as an unsustainable practice.

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The concepts of forward modeling and inverse modeling

Provenance: Lee Slater, Rutgers University-Newark
Reuse: If you wish to use this item outside this site in ways that exceed fair use (see http://fairuse.stanford.edu/) you must seek permission from its creator.
This unit introduces the student to the concept of geophysical inversion, which is the process of estimating the geophysical properties of the subsurface from the geophysical observations. The basic mechanics of the inversion process used to estimate spatial variations in electrical conductivity from electrical imaging (EI) datasets are introduced in a way that avoids the heavy mathematics. The challenges of inverting two dimensional geophysical datasets and the strategies for limiting the inversion to geologically reasonable solutions are described. The unfortunate characteristics of geophysical images (blurriness, imaging artifacts) are explained to highlight the limitations of inversion and to emphasize that the inverted images never match with geological reality. Students use the Excel-based Scenario Evaluator for Electrical Resistivity (SEER) tool introduced in Unit 3, Field Geophysical Measurements, to investigate key inversion concepts associated with measurement errors and the benefits of adding boreholes to surface data using synthetic datasets. Students are then led through an inversion of the two-dimensional EI dataset acquired in Harrier Meadow using ResIPy, a Python-based graphical user interface developed for instructional use. Following the instructional video, students then perform the inversion in ResIPy themselves and explore how variations in inversion settings related to the errors in the measurements result in distinctly different images.

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The California Drought of 2012 -- 2016 had significant social and economic consequences. This final unit focuses on this drought as a case study for measuring the hydrologic system so that we can better understand fluxes, variability, uncertainties, and methods to measure them. Students analyze a variety of data that are relevant to basin-scale water budget: precipitation, terrestrial water storage, and snow pack. Traditional monitoring systems used are precipitation and snow pillow sensors. The newer geodetic methods are GRACE (Gravity Recovery and Climate Experiment satellite) and Reflection GPS. The students then use these data to consider water storage changes during the drought and how these changes compare in magnitude to human consumption. The work can start during a lab period and carry over into work outside of the lab time. The student exercise takes the form of responses to questions and tasks that tests a student's abilities to synthesize information and identify challenges in monitoring the terrestrial water cycle. Students then take the step-by-step exercise results and synthesize it into a report for California water policy makers to highlight the findings and pro/cons/uncertainties for the different methods. Unit 4 is the summative assessment for the module.

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Note: Although the term GPS (Global Positioning System) is more commonly used in everyday language, it officially refers only to the USA's constellation of satellites. GNSS (Global Navigation Satellite System) is a universal term that refers to all satellite navigation systems including those from the USA (GPS), Russia (GLONASS), European Union (Galileo), China (BeiDou), and others. In this module, we use the term GPS even though, technically, some of the data may be coming from satellites in other systems.

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Online-ready: The exercise is electronic and could be done individually or in small online groups. Lecture is best done synchronously due to the technical nature.

(Note: this resource was added to OER Commons as part of a batch upload of over 2,200 records. If you notice an issue with the quality of the metadata, please let us know by using the 'report' button and we will flag it for consideration.)