Multivariate Statistical Tools in Assessing the Quality of Water Resources in Netravati River Basin, Karnataka, India

2021 ◽  
pp. 315-334
Author(s):  
S. Gayathri ◽  
A. Krishnakumar ◽  
K. Devi Chandana ◽  
Sibin Antony ◽  
Vinu V. Dev ◽  
...  
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Statistical Tools ◽  
Multivariate Statistical ◽  
Quality Of Water

scholarly journals Conflito de uso do solo em Áreas de Preservação Permanente da Bacia Hidrográfica do rio Marapanim, nordeste do Pará

2021 ◽  
Vol 43 ◽  
pp. e20
Author(s):  
Ádanna De Souza Andrade ◽  
Suezilde Da Conceição Amaral Ribeiro ◽  
Bruno Wendell De Freitas Pereira ◽  
Paulo Eduardo Silva Bezerra ◽  
Valter Vinicius Pereira Brandão
Keyword(s):  
Land Use ◽  
Water Resources ◽  
River Basin ◽  
Public Policies ◽  
The State ◽  
Soil Class ◽  
Land Use Conflict ◽  
Quality Of Water ◽  
Water Courses

Permanent preservation areas contribute significantly to maintaining the quality of water resources and protecting against erosive events. In this sense, this work mains of is to analyze the land use conflict in the permanent preservation areas of the Marapanim River basin, located in the northeast of the State of Pará. To this end, it data were processed using images Landsat of the years of 1988, 1998, 2008 and 2017 to discuss changes in land use for each year. Afterwards, land use was overlapped with the Permanent Preservation Areas of the basin (PPA), to identify the types of use that are interfering in the limits that should be maintained as PPA. The results showed that in three of the four years of analysis, the exposed soil class was present in more than 20% of the inadequate land use in PPA, followed by the Farming class, which increased almost 300% the occupation in PPA in the first to last year of study. Thus, this study can support public policies in order to monitor the sources and margins of water courses for a better management of water resources in this region.

Physico-Chemical Analysis of Groundwater and Effect of Climatic Change in Angul-Talcher Area

2018 ◽  
Vol 6 (12) ◽  
pp. 26
Author(s):  
Aliva Bera ◽  
D.P. Satapathy
Keyword(s):  
Water Resources ◽  
Linear Regression ◽  
Regression Model ◽  
Climatic Change ◽  
Linear Regression Model ◽  
Ann Model ◽  
Quality Of Water ◽  
Physico Chemical ◽  
Simulation Based

In this paper, the linear regression model using ANN and the linear regression model using MS Excel were developed to estimate the physico-chemical concentrations in groundwater using pH, EC, TDS, TH, HCO3 as input parameters and Ca, Mg and K as output parameters. A comparison was made which indicated that ANN model had the better ability to estimate the physic-chemical concentrations in groundwater. An analytical survey along with simulation based tests for finding the climatic change and its effect on agriculture and water bodies in Angul-Talcher area is done. The various seasonal parameters such as pH, BOD, COD, TDS,TSS along with heavy elements like Pb, Cd, Zn, Cu, Fe, Mn concentration in water resources has been analyzed. For past 30 years rainfall data has been analyzed and water quality index values has been studied to find normal and abnormal quality of water resources and matlab based simulation has been done for performance analysis. All results has been analyzed and it is found that the condition is stable. 

scholarly journals Deep Learning-Based Water Crystal Classification

2022 ◽  
Vol 12 (2) ◽  
pp. 825
Author(s):  
Hien Doan Thi ◽  
Frederic Andres ◽  
Long Tran Quoc ◽  
Hiro Emoto ◽  
Michiko Hayashi ◽  
...  
Keyword(s):  
Deep Learning ◽  
Water Resources ◽  
Past Research ◽  
Fine Tuning ◽  
Quality Of Water ◽  
Snow Crystal ◽  
State Of Water ◽  
First World ◽  
Small Dataset

Much of the earth’s surface is covered by water. As was pointed out in the 2020 edition of the World Water Development Report, climate change challenges the sustainability of global water resources, so it is important to monitor the quality of water to preserve sustainable water resources. Quality of water can be related to the structure of water crystal, the solid-state of water, so methods to understand water crystals can help to improve water quality. As a first step, a water crystal exploratory analysis has been initiated with the cooperation with the Emoto Peace Project (EPP). The 5K EPP dataset has been created as the first world-wide small dataset of water crystals. Our research focused on reducing the inherent limitations when fitting machine learning models to the 5K EPP dataset. One major result is the classification of water crystals and how to split our small dataset into several related groups. Using the 5K EPP dataset of human observations and past research on snow crystal classification, we created a simple set of visual labels to identify water crystal shapes, in 13 categories. A deep learning-based method has been used to automatically do the classification task with a subset of the label dataset. The classification achieved high accuracy when using a fine-tuning technique.

scholarly journals Basic criteria for a sustainable water management at the U.S.-México border: the case of ambos Nogales

2003 ◽  
Vol 4 (7) ◽  
pp. 35-60
Author(s):  
Luis Ernesto Cervera Gómez ◽  
Rodolfo Rubio Salas
Keyword(s):  
Water Management ◽  
Water Resources ◽  
Sustainable Use ◽  
The United States ◽  
International Perspective ◽  
Development Environment ◽  
Quality Of Water ◽  
Mexico Border ◽  
Ambos Nogales

This article aims to analyze some basic criteria for a sustainable use of water in an international watershed shared by Mexico and the United States. The study area comprises the region of Ambos Nogales, which is located inside the Upper Santa Cruz River Basin. This portion of the watershed represents the main ecosystem and the main source of water for urban and rural populations located in this region. Following criteria of sustainability the authors revise and adapt to the case of Ambos Nogales, a set of guidelines proposed by the Pacific Institute for Studies in Development, Environment, and Security. These guidelines include the following elements: basic water requirements needed to maintain quality of life in the population and the health of ecosystems; water quality that meets certain minimum standards; human actions and their impact on long-term renewability of freshwater stocks and flows; collection of data concerning water resources, use and quality of water; institutional mechanisms to prevent and resolve conflicts; and a democratic process of water-planning and decision-making. These twin cities have a long history of cooperation and conflict linked to water resources, which makes available enough information to create a diagnostic about the water management inside a binational arena, and allowing to explore possibilities for a better water resources management under a sustainable regime and from an international perspective. Keywords: Sustainability, binational water management, ambos Nogales region.

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