GEOLOGICAL AND GEOMORPHOLOGICAL ANALYSIS OF THE DRAINAGE BASIN OF THE PAULO SARASATE WEIR VARJOTA-CEARÁ,BRAZIL/ANÁLISE GEOLÓGICA E GEOMORFOLÓGICA DA BACIA DE DRENAGEM DO AÇUDE PAULO SARASATE VARJOTA-CEARÁ,BRASIL

2021 ◽  
Vol 2 (1) ◽  
pp. 1-18
Author(s):  
ERNANE CORTEZ LIMA ◽  
CAMILA DA SILVA CARNEIRO
Keyword(s):  
Drainage Basin ◽  
Landsat 8 ◽  
Geomorphological Analysis

Este artigo refere-se a análise geológica e geomorfológica da bacia de drenagem do açude Paulo Sarasate, com área de 3.501Km² a oeste do estado do Ceará. Após a interpretação de imagens de satélite Landsat 8 elaborou-se mapas temáticos tendo como apoio as folhas Sudene/DSG SB.24-V-B-1 (Santa Quitéria) e a SB.24-V-A-III (IPU) na escala 1:100.000. A metodologia utilizada foi a análise sistêmica através de levantamento bibliográfico, cartográfico e trabalho de campo. Sendo possível a identificação de 4 Unidades Geoambientais: a depressão sertaneja, a planície fluvial do rio Acaraú, os Maciços residuais e o Planalto Sedimentar da Ibiapaba. Tem início com a caracterização geológica e finaliza com a integração dos componentes geomorfológicos, permitindo estabelecer relações entre as formas e depósitos herdados de períodos geológicos anteriores, bem como as tendências evolutivas presentes.  

scholarly journals Geomorphological Analysis and Hydrological Potential Zone of Baira River Watershed, Churah in Chamba District of Himachal Pradesh, India

2017 ◽  
Vol 2 (1) ◽  
pp. 26 ◽  
Author(s):  
Kuldeep Pareta ◽  
Upasana Pareta
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Himachal Pradesh ◽  
Morphometric Parameters ◽  
Landsat 8 ◽  
Potential Zone ◽  
Gis Technology ◽  
River Watershed ◽  
Geomorphological Analysis

In the present study, an attempt has been made to study the quantitative geomorphological analysis and hydrological characterization of 95 micro-watersheds (MWS) of Baira river watershed in Himachal Pradesh, India with an area of 425.25 Km2. First time in the world, total 173 morphometric parameters have been generated in a single watershed using satellite remote sensing data (i.e. IRS-P6 ResourceSAT-1 LISS-III, LandSAT-7 ETM+, and LandSAT-8 PAN & OLI merge data), digital elevation models (i.e. IRS-P5 CartoSAT-1 DEM, ASTER DEM data), and soI topographical maps of 1: 50,000 scale. The ninety-five micro-watersheds (MWS) of Baira river watershed have been prioritized through the morphometric analysis of different morphometric parameters (i.e. drainage network, basin geometry, drainage texture analysis, and relief characterizes ). The study has concurrently established the importance of geomorphometry as well as the utility of remote sensing and GIS technology for hydrological characterization of the watershed and there for better resource and environmental managements.

scholarly journals Exploring the Spatial Variation of the Relationship between Land Use and Water Quality in a Drainage Basin Using Geographically Weighted Regression

2020 ◽  
Vol 12 (2) ◽  
pp. 147-168
Author(s):  
Samuel Azua ◽  
Taiye Oluwafemi Adewuyi ◽  
Lazarus Mustapha Ojigi ◽  
Omafuvwe Joseph Mudiare
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Geographically Weighted Regression ◽  
Drainage Basin ◽  
Water Quality Management ◽  
Mixed Forest ◽  
Weighted Regression ◽  
Landsat 8 ◽  
Sample Points ◽  
The Relationship

The focus of this study is to determine the relationship between land use and water quality in the River Mu drainage basin for effective water quality management. Various land uses in the study area were identified and mapped using Landsat 8 OLI of 2016. Water samples were also collected from 112 sample sites using Stratified Random Sampling methods. The samples were analysed in terms of physicochemical parameters using standard methods. The results of land use and water quality parameters were regressed using Geographically Weighted Regression (GWR) to determine whether there exist spatially varying relationships. The results revealed that the local R2 values varied between 0.0 and 0.5, indicating a weak relationship between land use and water pollution, except for mixed forest and pH which recorded local R2 values of 0.7 towards the western region of the study area. This shows that the relationship between the two variables varied spatially across the drainage basin. The one-sample Kolmogorov Smirmov test-p<0.05 revealed that there were significant differences in pH (0.00), EC (0.00), turbidity (0.001), TDS (0.048), DO (0.003), NH4+ (0.002), Ca2+ (0.00), Cl- (0.036), Fe3+ (0.00) and Cr2+ (0.039) across the different sample points, whereas K+ (0.134), PO43- (0.715) and NO3- (0.501) were not significantly different across the different sample points. The study recommended that the procedure for water management be localized to sub-catchment and basin levels, to provide adequate attention to each sub-catchment depending on the level and nature of pollution identified.

Enumeration and Identification of Asbestos Fibres in Water

1974 ◽  
Vol 32 ◽  
pp. 526-527 ◽  
Author(s):  
O. Mudroch ◽  
J. R. Kramer
Keyword(s):  
Water Supply ◽  
Water Samples ◽  
Drainage Basin ◽  
Lake Superior ◽  
Research Work ◽  
List Type ◽  
The West ◽  
Asbestos Fibre ◽  
Amphibole Asbestos

Approximately 60,000 tons per day of waste from taconite mining, tailing, are added to the west arm of Lake Superior at Silver Bay. Tailings contain nearly the same amount of quartz and amphibole asbestos, cummingtonite and actinolite in fibrous form. Cummingtonite fibres from 0.01μm in length have been found in the water supply for Minnesota municipalities.The purpose of the research work was to develop a method for asbestos fibre counts and identification in water and apply it for the enumeration of fibres in water samples collected(a) at various stations in Lake Superior at two depth: lm and at the bottom.(b) from various rivers in Lake Superior Drainage Basin.

New advanced designed systems to ensure safeguard of the territory and preservation of water resources for irrigation

2020 ◽  
pp. 1-19
Author(s):  
Cinalberto Bertozzi ◽  
Fabio Paglione
Keyword(s):  
Water Management ◽  
Water Resources ◽  
Drainage Basin ◽  
Land Reclamation ◽  
Land Area ◽  
Water Board ◽  
Management Schemes ◽  
Innovative Techniques ◽  
River Po ◽  
Crop Irrigation

The Burana Land-Reclamation Board is an interregional water board operating in three regions and five provinces. The Burana Land-Reclamation Board operates over a land area of about 250,000 hectares between the Rivers Secchia, Panaro and Samoggia, which forms the drainage basin of the River Panaroand part of the Burana-Po di Volano, from the Tuscan-Emilian Apennines to the River Po. Its main tasks are the conservation and safeguarding of the territory, with particular attention to water resources and how they are used, ensuring rainwater drainage from urban centres, avoiding flooding but ensuringwater supply for crop irrigation in the summer to combat drought. Since the last century the Burana Land-Reclamation Board has been using innovative techniques in the planning of water management schemes designed to achieve the above aims, improving the management of water resources while keeping a constant eye on protection of the environment.

Evolution of the Paran drainage basin and its relation to the Plio-Pleistocene history of the Arava Rift western margin, Israel

2000 ◽  
Vol 49 (4) ◽  
pp. 215-238 ◽  
Author(s):  
Hanan Ginat ◽  
Yoav Avni ◽  
Zvi Garfunkel ◽  
Hanan Ginata ◽  
Yosef Bartov
Keyword(s):  
Drainage Basin ◽  
Western Margin ◽  
History Of

Analisis Pengaruh Kerapatan Vegetasi Terhadap Suhu Permukaan dan Keterkaitannya Dengan Fenomena UHI

2020 ◽  
Vol 21 (1) ◽  
pp. 99
Author(s):  
Dewi Miska Indrawati ◽  
Suharyadi Suharyadi ◽  
Prima Widayani
Keyword(s):  
Urban Heat Island ◽  
Landsat 8 ◽  
Heat Island ◽  
Landsat 8 Oli ◽  
Urban Heat ◽  
Split Window Algorithm

Kota Mataram adalahpusat dan ibukota dari provinsi Nusa Tenggara Barat yang tentunya menjadi pusat semua aktivitas masyarakat disekitar daerah tersebut sehingga menyebabkan peningkatan urbanisasi. Semakin meningkatnya peningkatan urbanisasi yan terjadi di perkotaan akan menyebabkan perubahan penutup lahan, dari awalnya daerah bervegetasi berubah menjadi lahan terbangun. Oleh karena itu, akan memicu peningkatan suhu dan menyebabkan adanya fenomena UHI dikota Mataram.Tujuan dari penelitian ini untuk mengetahui hubungan kerapatan vegetasi dengan kondisi suhu permukaan yang ada diwilayah penelitian dan memetakan fenomena UHI di Kota Mataram. Citra Landsat 8 OLI tahun 2018 yang digunakan terlebih dahulu dikoreksi radiometrik dan geometrik. Metode untuk memperoleh data kerapatan vegetasi menggunakan transformasi NDVI, LST menggunakan metode Split Window Algorithm (SWA) dan identifikasi fenomena urban heat island. Hasil penelitian yang diperoleh menunjukkan kerapatan vegetasi mempunyai korelasi dengan nilai LST. Hasil korelasi dari analisis pearson yang didapatkan antara kerapatan vegetasi terhadap suhu permukaan menghasilkan nilai -0,744. Fenomena UHIterjadi di pusat Kota Mataram dapat dilihat dengan adanya nilai UHI yaitu 0-100C. Semakin besar nilai UHI, semakin tinggi perbedaan LSTnya.

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