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Unit 6: Hydrologic Balance and Climate Change

Kirsten Menking (Vassar College)
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These materials have been reviewed for their alignment with the Next Generation Science Standards as detailed below. Visit InTeGrate and the NGSS to learn more.

Overview

In this unit, students develop a real-world "sink" model of a chain of lakes that were filled during the most recent glacial period to test the relationships between climate and lake size.

Science and Engineering Practices

Using Mathematics and Computational Thinking: Use simple limit cases to test mathematical expressions, computer programs, algorithms, or simulations of a process or system to see if a model “makes sense” by comparing the outcomes with what is known about the real world. HS-P5.4:

Obtaining, Evaluating, and Communicating Information: Critically read scientific literature adapted for classroom use to determine the central ideas or conclusions and/or to obtain scientific and/or technical information to summarize complex evidence, concepts, processes, or information presented in a text by paraphrasing them in simpler but still accurate terms. HS-P8.1:

Developing and Using Models: Develop, revise, and/or use a model based on evidence to illustrate and/or predict the relationships between systems or between components of a system HS-P2.3:

Developing and Using Models: Develop and/or use a model (including mathematical and computational) to generate data to support explanations, predict phenomena, analyze systems, and/or solve problems. HS-P2.6:

Constructing Explanations and Designing Solutions: Construct and revise an explanation based on valid and reliable evidence obtained from a variety of sources (including students’ own investigations, models, theories, simulations, peer review) and the assumption that theories and laws that describe the natural world operate today as they did in the past and will continue to do so in the future. HS-P6.2:

Cross Cutting Concepts

Systems and System Models: When investigating or describing a system, the boundaries and initial conditions of the system need to be defined and their inputs and outputs analyzed and described using models. HS-C4.2:

Systems and System Models: Models can be used to predict the behavior of a system, but these predictions have limited precision and reliability due to the assumptions and approximations inherent in models. HS-C4.4:

Systems and System Models: Models (e.g., physical, mathematical, computer models) can be used to simulate systems and interactions—including energy, matter, and information flows—within and between systems at different scales. HS-C4.3:

Stability and Change: Change and rates of change can be quantified and modeled over very short or very long periods of time. Some system changes are irreversible. HS-C7.2:

Cause and effect: Changes in systems may have various causes that may not have equal effects. HS-C2.4:

Cause and effect: Cause and effect relationships can be suggested and predicted for complex natural and human designed systems by examining what is known about smaller scale mechanisms within the system. HS-C2.2:

Energy and Matter: Changes of energy and matter in a system can be described in terms of energy and matter flows into, out of, and within that system. HS-C5.2:

Disciplinary Core Ideas

The Roles of Water in Earth's Surface Processes: Water continually cycles among land, ocean, and atmosphere via transpiration, evaporation, condensation and crystallization, and precipitation, as well as downhill flows on land. MS-ESS2.C1:

Earth Materials and Systems: The geological record shows that changes to global and regional climate can be caused by interactions among changes in the sun’s energy output or Earth’s orbit, tectonic events, ocean circulation, volcanic activity, glaciers, vegetation, and human activities. These changes can occur on a variety of time scales from sudden (e.g., volcanic ash clouds) to intermediate (ice ages) to very long-term tectonic cycles. HS-ESS2.A3:

This material was developed and reviewed through the InTeGrate curricular materials development process. This rigorous, structured process includes:

  • team-based development to ensure materials are appropriate across multiple educational settings.
  • multiple iterative reviews and feedback cycles through the course of material development with input to the authoring team from both project editors and an external assessment team.
  • real in-class testing of materials in at least 3 institutions with external review of student assessment data.
  • multiple reviews to ensure the materials meet the InTeGrate materials rubric which codifies best practices in curricular development, student assessment and pedagogic techniques.
  • review by external experts for accuracy of the science content.


This page first made public: Sep 15, 2017

Summary

In this unit, students create a STELLA model of the Owens River chain of lakes in eastern California and then experiment with different climate change scenarios to simulate the Pleistocene history of lake filling and overflow. The Owens River chain consists of five lakes separated by bedrock sills that were fed primarily by runoff from the Sierra Nevada range. Geologic evidence shows that when Owens Lake filled to its maximum level, it overflowed into the China Lake basin, which in turn overflowed into Searles Lake. During particularly wet periods in the geologic past, Searles overflowed into Panamint Lake, which ultimately overflowed into Lake Manly in Death Valley.

In developing their numerical model of the Owens River chain of lakes, students learn about paleoclimatic proxies for past hydrologic conditions, explore some of the reasons why climate was so different during the Pleistocene than it is today, learn about the importance of boundary conditions for reservoirs, and develop an understanding of how reservoir geometry (depth-area-volume relationship) affects the ability of the entire lake chain system to respond to changes in climate occurring on a variety of timescales. As a side benefit, students also learn of the 20th century desiccation of Owens Lake brought about by the development of the Los Angeles aqueduct system and its resulting ecological and public health impacts.

Learning Goals

On completing this module, students are expected to be able to:

  • Create a model of a lake chain using topographic data to derive depth-area-volume relationships for each lake and if-then-else logical statements to determine whether a lake has reached its overflow point given various runoff and evaporation scenarios.
  • Demonstrate the impact of changing boundary conditions (in this case, lake reservoir geometries) on system behavior.
  • Predict and assess how reservoir response time affects the ability of the lake chain to record climatic variations occurring over different periods of time (e.g. orbital to centennial-scale cycles).
The exercise addresses several of the guiding principles of the InTeGrate program. In particular, it requires the use of systems thinking, develops students' abilities to use numerical modeling to generate and test geoscientific hypotheses, makes use of authentic topographic data, and addresses natural variability in the climate system that affects hydrologic balance. The latter is essential to our understanding of anthropogenic climate change inasmuch as natural cycles must be recognized in order to assess the signs and magnitudes of human impacts on the climate system.

Context for Use

This unit is intended to be used in a three- to four-hour class period that meets once a week. It can be used as part of this modeling course or it can be adapted as a lab exercise for courses in paleoclimatology or geomorphology. For this module, students should come to class prepared to take a short quiz on the assigned reading. Thereafter they will be led through a series of prompts designed to help them create and experiment with a number of simple models using the iconographic box modeling software STELLA (see https://www.iseesystems.com/store/products/ for different options for purchasing student or computer lab licenses of STELLA or for downloading a trial version). Students should have access to Microsoft Excel or similar spreadsheet software to allow them to graph and create best-fit polynomials and power law equations to depth-area-volume data for each lake in the Owens River chain.

For those learning to use STELLA, we suggest the online "play-along" tutorials from isee systems. You can find them here: isee Systems Tutorials.

Description and Teaching Materials

In preparation for the exercise, students should read the following: Unit 6 Student Reading.

For advanced courses, instructors may also wish to have students read and present on Menking and Anderson reading (Acrobat (PDF) 2.8MB Dec9 14). This is a chapter from Kirsten Menking's 1995 doctoral dissertation at the University of California, Santa Cruz (Paleoclimatic Reconstructions from Owens Lake Core OL-92, Southeastern California).

Students should take the following quiz prior to coming to class to ensure they have done the assigned reading: Lake hydrologic balance reading quiz (Microsoft Word 2007 (.docx) 51kB Aug11 16). An answer key for the reading quiz can be found here:

Lake hydrologic balance reading quiz answer key


This file is only accessible to verified educators. If you are a teacher or faculty member and would like access to this file please enter your email address to be verified as belonging to an educator.

.

In class, students should be provided with the exercise found here: Owens River chain exercise (Microsoft Word 2007 (.docx) 36kB Dec3 16).

An answer key for the exercise can be found here:

Owens River chain answer key


This file is only accessible to verified educators. If you are a teacher or faculty member and would like access to this file please enter your email address to be verified as belonging to an educator.

. It contains not only answers to the different questions but also strategies instructors can use to guide students through the exercise and information on typical stumbling blocks.

Students will need to generate polynomial relationships between lake volume, surface area, and depth in order to determine whether each lake in the chain has reached its overflow threshold and in order to determine the amount of water lost to evaporation. The following Excel file contains the data they need to create these relationships: Hypsometry data (Excel 73kB Dec9 14). For Owens Lake, a power law relationship works best for the area/volume relationship. The other lakes are best fit with second- or third-order polynomials. See the answer key for the equations used in the STELLA model provided here.

Instructors can download a version of the STELLA lake chain model by clicking on this link: Owens Lake chain STELLA model (Stella Model (v10 .stmx) 27kB Aug11 16). The model was created using STELLA Professional and should open on any subsequent version of STELLA. If you are using an earlier version of STELLA, the complete model graphic and equations can be found in the answer key so that you can reconstruct the model yourself.

Teaching Notes and Tips

We generally post the readings and assignments for students to an LMS site (e.g. Moodle, Blackboard, Canvas). Students can open the assignment in Microsoft Word on the same computer they are using to construct the STELLA model and then answer the questions by typing directly into the document. Students can either print a paper copy to hand in to the instructor or email their modified file to the instructor. It is straightforward to copy graphs and model graphics out of STELLA and to paste them into Word. Simply select the items to be copied, hit copy in STELLA, and paste into Word. There is no need to export graphics to jpg.

We teach the course in a three- to four-hour block once a week because we have found that models require a lot of uninterrupted time to construct. If students have a 50- or 75-minute class period several times a week, they spend at least 20 minutes of subsequent class periods trying to figure out where they were in the exercise at the beginning of the week. This is not a good use of time, hence the recommended three- to four-hour class session once per week. However, we also know that sustaining attention for this length of time can be difficult. We therefore recommend allowing students the freedom to take breaks throughout the modeling session to get snacks or coffee.

A typical 4-hour class session might be broken up into the following sections:

  • 20-minute discussion of the reading to ensure all the students are familiar with the mathematics behind the model
  • 1.5 to 2 hours to build the model
  • 1.5 hours to conduct experiments

For instructors who have more limited contact hours with their students, we suggest that the model construction parts of this exercise be assigned as a pre-lab to be handed in a day or two before class along with the completed STELLA model itself. This would allow the instructor to determine whether students' models are working correctly and to provide feedback to address errors in construction, omissions in documentation, problems with unit conversions, and inappropriately sized time steps that might lead to spurious model behavior. Class time could then be devoted to running experiments and analyzing the results. If access to STELLA outside of class time is impossible due to computer lab scheduling or to financial constraints that prevent students from purchasing their own STELLA licenses, students could be asked to create a pencil and paper sketch of what their model should look like, annotated with equations and then sent to the instructor in advance of class for feedback. This should facilitate a faster model construction time during the limited class hours.

Assessment

Answers to exercise questions are located in the answer key for this unit (see Description and Teaching Materials section above). Instructors may download an assessment rubric for the modeling exercise here: Assessment rubric (Microsoft Word 2007 (.docx) 121kB Jan8 15). Rather than assign a point value to every question in the exercise, we employ a holistic approach that determines the extent to which a student has correctly built the model, supplied appropriate documentation of equations and units, thoroughly answered questions throughout the assignment, and provided appropriately labeled graphs and figures in answering questions.

References and Resources

This exercise is based on the following references (see also student reading for Unit 6):

Menking, K.M., and Anderson, R.S., 1995, "A Model of Runoff, Evaporation, and Overspill in the Owens River System of Lakes, Eastern California," in Menking, K.M., PhD dissertation, University of California, Santa Cruz, p. 40–107.

Phillips, F.M., 2008, "Geological and Hydrological History of the Paleo-Owens River Drainage since the Late Miocene," in Reheis, M.C., Hershler, R., and Miller, D.M., eds., Late Cenozoic Drainage History of the Southwestern Great Basin and Lower Colorado River Region: Geologic and Biotic Perspectives, Geological Society of America Special Paper 439, p. 115–150.

Smith, G.I., Bischoff, J.L., and Bradbury, J.P., 1997, "Synthesis of the paleoclimatic record from Owens Lake core OL-92," in Smith, G.I., and Bischoff, J.L., eds., An 800,000-Year Paleoclimatic Record from Core OL-92, Owens Lake, Southeast California: Boulder, Colorado, Geological Society of America Special Paper 317, p. 143–160.

Smith, G.I., and Street-Perrot, F.A., 1983, "Pluvial Lakes in the Western United States," in Wright, H.E., Jr., ed., Late Quaternary Environments of the United States. Minneapolis, University of Minnesota Press, p. 190–211.

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These materials are part of a collection of classroom-tested modules and courses developed by InTeGrate. The materials engage students in understanding the earth system as it intertwines with key societal issues. The collection is freely available and ready to be adapted by undergraduate educators across a range of courses including: general education or majors courses in Earth-focused disciplines such as geoscience or environmental science, social science, engineering, and other sciences, as well as courses for interdisciplinary programs.
Explore the Collection »