Only articles that meet good scientific standards (e.g., acknowledge and build upon other work in the field, rely on logical reasoning and well-designed studies, back up claims with evidence, etc.) are accepted for publication.
Original Article
Tayebe Tahmasbi; Khodayar Abdollahi; Mehdi Pajoohesh
Articles in Press, Accepted Manuscript, Available Online from 19 March 2023
Abstract
Curve number is a dimensionless empirical method for predicting direct runoff. Since river discharge and sediment load are highly connected thus the relationship between runoff and bed load could be used to evaluate the continuous sediment load. This study proposes a new curve number that characterizes ...
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Curve number is a dimensionless empirical method for predicting direct runoff. Since river discharge and sediment load are highly connected thus the relationship between runoff and bed load could be used to evaluate the continuous sediment load. This study proposes a new curve number that characterizes this parameter based on redefined lookup tables and a fuzzy approach for calculating sediment load. The developed distributed monthly Fuzzy Curve Number Sediment Simulation(CNS2) in Python was applied to predict runoff and sediment load using the rating curve concept. The model uses the fuzzy curve number and some factors such as the number of rainy days, the management of RUSLE-3D, slope, teta coefficient, and soil texture for simulating sediment load at a monthly time scale. The results of model sensitivity analysis indicated that rainfall, base-flow and runoff were the most critical factors affecting sediment load in the study area of interest. The Nash-Sutcliff index evaluated the effectiveness of the simulated runoff; the calculated metric value was 0.6 and 0.53 during two calibration and validation periods, respectively. The Nash-Sutcliff index for simulated sediment load was 0.54 and 0.43 during the calibration and validation periods, respectively. The distributed structure of the developed model provides the possibility for improving estimating spatial variability of sediment yield over the basins; therefore, it can capture the heterogeneity in affecting factors for sediment production.
Original Article
Mayra Ivelisse Rodriguez Gonzalez; Kevin Gabriel Torres Garrido
Articles in Press, Accepted Manuscript, Available Online from 16 April 2023
Abstract
Water ecosystem services are benefits obtained from natural processes held by terrestrial vegetation in relation to hydrologic systems. These benefits have implications for human wellbeing through the mitigation of flood risk, management of stormwater runoff, and removal of pollutants from water systems ...
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Water ecosystem services are benefits obtained from natural processes held by terrestrial vegetation in relation to hydrologic systems. These benefits have implications for human wellbeing through the mitigation of flood risk, management of stormwater runoff, and removal of pollutants from water systems that ultimately supply drinking and irrigation water. Assessing national and regional stocks of these important ecosystem services is crucial for the sustainable development of the land and for conservation purposes. In this study, we applied three models from the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) tool to map the production of flash-flood risk mitigation, stormwater retention, and nitrogen retention. Our findings were consistent with impact assessments on local communities. Through the three ecosystem services mapped, we demonstrated the role of existing terrestrial vegetation in processing hydrologic systems in the Republic of Ecuador. The results from this modeling also provided insights into potential planning pathways for future management using the InVEST software.
Original Article
SUKANTA MANDAL
Articles in Press, Accepted Manuscript, Available Online from 24 April 2023
Abstract
ABSTRACT :-The terrestrial surface of the earth constitutes a finite portion of the biosphere,referred to as "land," that encompasses a complex array of attributes immediately above or belowthe surface, including the near-surface climate, soil and terrain typology, surface hydrology (suchas shallow lakes, ...
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ABSTRACT :-The terrestrial surface of the earth constitutes a finite portion of the biosphere,referred to as "land," that encompasses a complex array of attributes immediately above or belowthe surface, including the near-surface climate, soil and terrain typology, surface hydrology (suchas shallow lakes, rivers, marshes, and swamps), near-surface sedimentary formations andassociated groundwater reserves, vegetation and faunal populations, human settlement patterns,and physical evidence of past and current human activities (FAO, 1995, p. 6). It is wellacknowledged that land serves as the foundation upon which human civilization has beenconstructed and flourished, as it is the most elementary resource of human society. However, thequantifiable amount of land available is unalterable, thus necessitating the judicious andscientifically informed utilization of this precious resource for the preservation of humanexistence. In light of this, the examination of land use patterns assumes paramount importancefor resource planning, cultural development, and regional or national economic growth. Thepresent study endeavours to analyse the trend of land use and land cover changes in theRampurhat CD Block -II from 2000 to 2020, a crucial task in view of the current global scenarioof changing land use patterns.
Original Article
Adaobi Ukamaka Akudu; Nwachukwu Romanus Ekere; Innocencia Chizoba Chidebelu; Janefrances Ngozi Ihedioha; Cynthia Nkolika Ibeto
Articles in Press, Accepted Manuscript, Available Online from 13 May 2023
Abstract
The work determined the physicochemical properties and quality of groundwater samples from Industrial cluster areas of Anambra state, Nigeria using Quality Index method. The samples were collected monthly in rainy season (May–July, 2017) and dry season (November, 2017 to January, 2018). The ranges ...
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The work determined the physicochemical properties and quality of groundwater samples from Industrial cluster areas of Anambra state, Nigeria using Quality Index method. The samples were collected monthly in rainy season (May–July, 2017) and dry season (November, 2017 to January, 2018). The ranges of the physicochemical parameters in both seasons were temperature (27.0–30.4oC), pH (5.5 – 6.5), electrical conductivity (22.5–178 µS/cm), calcium (1.00–17.67 mg/L), magnesium (0.00–13.33mg/L),total hardness (1.00–27.00 mg/L),chlorides (0.83–16.67mg/L), sulphate (0.33–4.00 mg/L), total alkalinity (0.75–16.67 mg/L), total dissolved solids (13.50–106.67 mg/L), total suspended solids (1.03–9.67 mg/L), total solids (16.00–116.33 mg/L), turbidity (0.00–3.04 NTU), dissolved oxygen (5.67–9.07mg/L), biochemical oxygen demand (0.10–1.27 mg/L) and chemical oxygen demand (5.67–18.33 mg/L). The values were compared with the standard values recommended by World Health Organization (WHO 2017) and Nigerian Standard for Drinking Water Quality (NSDWQ 2007). Statistical analysis (ANOVA) was performed which showed significance variations between the parametric values of the borehole water samples. Levene’s t-test indicated significance variations between the rainy season and dry season parametric means. The water quality index (WQI) results in both seasons showed that the water quality status of the samples collected from Uruagu, Nnewichi, Okpoko and Awada were excellent while those collected from Otolo, Umudim, Fegge and Woliwo were good.
