Variation in Trematode Infection in Snails Associated with Land Cover and Water Chemistry in the Central Illinois River Watershed

2019 ◽  
Vol 105 (4) ◽  
pp. 546 ◽  
Author(s):  
Camille L. Steenrod ◽  
Jacob R. Jones ◽  
John A. Marino
Keyword(s):  
Land Cover ◽  
Water Chemistry ◽  
Illinois River ◽  
River Watershed ◽  
Trematode Infection ◽  
Central Illinois

Aztalan and the Northern Tier of a Cahokia Hinterland

2020 ◽  
pp. 107-127 ◽  
Author(s):  
John D. Richards
Keyword(s):  
Great Lakes ◽  
Lake Michigan ◽  
River Valley ◽  
Illinois River ◽  
Great Lakes Region ◽  
Upper Great Lakes ◽  
Illinois River Valley ◽  
Wide Range ◽  
Western Shore ◽  
Central Illinois

Cahokia’s northern hinterland can be conceptualized as extending north from the central Illinois River valley into the western and upper Great Lakes region. The northern tier of this hinterland can be thought of as a region north of the Apple River area of northwest Illinois and south of a line extending east from the mouth of the St. Croix River to the western shore of Lake Michigan. This area includes a wide range of landscapes, biotas, and cultures and this diversity is mirrored in the Cahokia-related manifestations found throughout the region. This chapter provides a brief comparison of three northern tier sites/complexes including Trempealeau, Fred Edwards, and Aztalan in order to highlight the diversity of Mississippian-related occupations in the area.

Indian River Watershed Image Analysis Using Fuzzy-CA Hybrid Approach

2017 ◽  
pp. 232-246
Author(s):  
Kalyan Mahata ◽  
Subhasish Das ◽  
Rajib Das ◽  
Anasua Sarkar
Keyword(s):  
Cellular Automata ◽  
Land Cover ◽  
Discrete Dynamical System ◽  
Hybrid Approach ◽  
Ground Truth ◽  
Second Phase ◽  
River Watershed ◽  
Set Membership ◽  
Mixed Pixels ◽  
Indian River

Image segmentation among overlapping land cover areas in satellite images is a very crucial task. Detection of belongingness is the important problem for classifying mixed pixels. This paper proposes an approach for pixel classification using a hybrid approach of Fuzzy C-Means and Cellular automata methods. This new unsupervised method is able to detect clusters using 2-Dimensional Cellular Automata model based on fuzzy segmentations. This approach detects the overlapping regions in remote sensing images by uncertainties using fuzzy set membership values. As a discrete, dynamical system, cellular automaton explores uniformly interconnected cells with states. In the second phase of our method, we utilize a 2-dimensional cellular automata to prioritize allocations of mixed pixels among overlapping land cover areas. We experiment our method on Indian Ajoy river watershed area. The clustered regions are compared with well-known FCM and K-Means methods and also with the ground truth knowledge. The results show the superiority of our new method.

scholarly journals Evidence and impact of map error on land use and land cover dynamics in Ashi River watershed using intensity analysis

PLoS ONE ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. e0229298 ◽  
Author(s):  
Vitus Tankpa ◽  
Li Wang ◽  
Raphael Ane Atanga ◽  
Alfred Awotwi ◽  
Xiaomeng Guo
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Intensity Analysis ◽  
River Watershed ◽  
Land Cover Dynamics

Comparison of PMP-Driven Probable Maximum Floods with Flood Magnitudes due to Increasingly Urbanized Catchment: The Case of American River Watershed

2013 ◽  
Vol 17 (8) ◽  
pp. 1-15 ◽  
Author(s):  
Wondmagegn Yigzaw ◽  
Faisal Hossain ◽  
Alfred Kalyanapu
Keyword(s):  
Land Cover ◽  
Land Cover Change ◽  
Design Procedure ◽  
Sensitivity Study ◽  
The Other ◽  
Design Flood ◽  
Climatic Effects ◽  
River Watershed ◽  
Other Hand ◽  
American River

Abstract Since historical (predam) data are traditionally the sole criterion for dam design, future (postdam) meteorological and hydrological variability due to land-use and land-cover change cannot be considered for assessing design robustness. For example, postdam urbanization within a basin leads to definite and immediate increase in direct runoff and reservoir peak inflow. On the other hand, urbanization can strategically (i.e., gradually) alter the mesoscale circulation patterns leading to more extreme rainfall rates. Thus, there are two key pathways (immediate or strategic) by which the design flood magnitude can be compromised. The main objective of the study is to compare the relative contribution to increase in flood magnitudes through direct effects of land-cover change (urbanization and less infiltration) with gradual climate-based effects of land-cover change (modification in mesoscale storm systems). The comparison is cast in the form of a sensitivity study that looks into the response to the design probable maximum flood (PMF) from probable maximum precipitation (PMP). Using the American River watershed (ARW) and Folsom Dam as a case study, simulated peak floods for the 1997 (New Year's) flood event show that a 100% impervious watershed has the potential of generating a flood that is close to design PMF. On the other hand, the design PMP produces an additional 1500 m3 s−1 peak flood compared to the actual PMF when the watershed is considered 100% impervious. This study points to the radical need for consideration future land-cover changes up front during the dam design and operation formulation phase by considering not only the immediate effects but also the gradual climatic effects on PMF. A dynamic dam design procedure should be implemented that takes into account the change of land–atmospheric and hydrological processes as a result of land-cover modification rather than relying on historical records alone.

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