Datasets:
patrickbdevaney
/
mia9

Dataset card Data Studio Files
xet
 Community
1
text
stringlengths
0
6.44k
2
the Bay watershed and the forecast changes derived from the MDWSP and also from
the Comprehensive Everglades Restoration Plan (CERP).
The National Park Service Inventory and Monitoring Program (NPSIMP) use
physical, chemical and biological elements and processes of park ecosystems to define
―Vital Signs‖ that represent the overall health and condition of any given park. The
South Florida/Caribbean network of the NPSIMP identified vital signs of concern to the
managers of national parks in the region, nested within a hierarchical conceptual
structure. NPSIMP Level 1 groups the vital signs into 5 classes – geology and soils,
water, biological integrity, human use and landscape patterns and processes. Each one
of these categories includes vital signs that are relevant to the conditions of the biotic
resources of BNP. Given the fundamental relevance of water and its quality to
ecosystem structure and functioning, water is the center of attention in the present
study. Geology, soils, human use and landscape patterns and processes are
considered under the scope of their impacts on water availability and quality. Within this
general conceptual framework, we will describe the water resources of BNP.
To accomplish the objective above, broadly defined tasks shown in Table 1 were
proposed. This Final Report has been structured into six sections, as follows:
SECTION 1: Data Collection and Quality Assessment-Control
Describes the data sources, the verification of their quality and steps taken to assure
their potential and limitations, and presents the compiled numeric information in a
Master Database in Microsoft Access format.
SECTION 2: Park Description
This section includes a summary description of BNP resources, highlighting relevant
pre-modification system dynamics as well as those changes natural and/or
anthropogenic, leading to WQ modifications.
3
SECTION 3: Statistical Analysis
Describes the methods applied for statistical characterization of water quality (WQ) in
BNP and surrounding water bodies, as well as methods and results of trend analysis
and biogeochemical segmentation of BB waters.
SECTION 4: Box Modeling
In this section the conceptual structure of the box-model developed in the study, as well
as its results are presented. Given that box-modeling was performed in close
cooperation with FIU and under sub-contract by Cetacean Logic Foundation Inc. (CLF),
only a modified version of their Executive Summary is given in the body of this report,
and the full CLF report is presented as Appendix 1.
SECTION 5: Summary of threats to Biscayne National Park Resources
This chapter summarizes and sets a hierarchy for the most relevant threats posed to
BB water resources. It is intended to improve understanding of BNP resources in order
to help guide BNP management to properly address the identified threats.
SECTION 6: Derivation of Numeric Nutrient Criteria
In this section we discuss the methods and results for the derivation of protective
numeric nutrient criteria for TN, TP and CHLa, approached within the framework of
stressor-response relationships.
4
Table 1 Summarized Purposes, Tasks and Goals of the study
PURPOSE TASKS GOALS
Synthesize existing WQ data 1- Literature Review * Provide general overview of WQ
2- Collect data from SFWMD, DERM, conditions in BNP and BB
FIU, CORPS, DBHYDRO and others
3- QA/QC data
4- Statistical Summary
Evaluate XPSWWM 5- Familiarization with project * To evaluate the use of the
concept, components, characteristics hydrologic/hydraulic model XPSWMM
6- Evaluation of Model input/output to and the watershed loading model by
estimate Total Maximum Daily loads an engineering consultant to estimate
7- Preapration of report on findings loads to BB for Miami/Dade County
and conclusions government
Recommended WQ Targets for BNP/BB 8- Review historicalWQ data for BNP * Provide a general overview of WQ in
to prepare a list of selected constituents BNP and a comprehensive list of
ecological indicators and targets ecological indicators and recommend
9- Identify areas of most concern preliminary numeric targets for selected
within BB with focus on BNP surface WQ constituents
10- Organize Expert's Workshop to * Identify areas within BNP that have been
evaluate indicators and targets heavily, moderately and minimally
impacted
BB Box Model development and 11- Develop, calibrate and validate * Develop salinity-residence time
calibration mass-budget calculations, and develop modeling tool for BB waters
approach for estimating nutrient
concentration in response to loadings
Evaluate WQ and ecological 12- Generate and run a series of * Estimate salinity and nutrient
conditions in BB under proposed scenarios in a box-model for BB concentration in BB in response to
Watershed Study alternatives including output from preferred loading scenarios
WPSWMM scenario * Provide classification of areas within
13- Analyze results from proposed BNP from box-modeling results that
alternatives would become heavily, moderately,
and minimally impacted
* Provide comments on preferred
alternative and its impact on BB
ecosystems
Derive Numeric Nutrient Criteria 14- Collect WQ data for South Florida * Estimate TN and TP numeric nutrient
for South Florida Estuaries and estuaries and coastal waters criteria for 40 South Florida sub-basins
Coastal waters 15- Perform necessary QA/QC * Estimate TN and TP numeric nutrient
16- Develop a classification South Florida criteria for 40 sub-basins
water types
17- Derive protective Numeric Nutrient
Criteria for TP and TN
Summarize Findings 18- Prepare Final Report * Present recommendations to
Watershed Advisory Committee
5
SECTION 1:
DATA COLLECTION AND QUALITY
ASSESSMENT/QUALITY CONTROL
DATA SOURCES
The report presented herewith is an assessment of the conditions of water
resources in BB, including BNP, and its relationship to biotic resources. The study is
based on the evaluation of existing information on the bay natural resources, especially
long-term data generated by networks of monitoring stations established in and around
BB and its watershed. Additionally, data from individual research projects from various