Showing 841 - 860 results of 2,780 for search '"river"', query time: 0.10s Refine Results
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    Coping Strategies of Social Protection Programs for Community Resilience to Climate Shocks in Tana North Sub-County, Tana River County, Kenya by Lucy Wangui Ikumu, Bessy Kathambi, Karatu Kiemo

    Published 2024-12-01
    “…This study examines the effectiveness of coping strategies of social protection programs in enhancing community resilience to climate shocks in Tana North Sub-County, Tana River County, Kenya. Despite its potential as a policy response, the effectiveness of social protection as a coping strategy in fostering community resilience remains underexplored. …”
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    Assessing the relative contribution of various anthropogenic sources to atmospheric methane in Rivers State, Nigeria: A multi-criteria decision analysis approach by Onwusameka Sonny Ogbowuokara, Tambari Gladson Leton, John Nwenearizi Ugbebor, Ochuko Felix Orikpete

    Published 2024-04-01
    “…This research utilized the Multi-Criteria Decision Analysis (MCDA) method, specifically the Analytic Hierarchy Process (AHP), to analyze the sources of atmospheric methane in Rivers State, Nigeria. It addressed the challenge of assessing the contributions of various anthropogenic sources such as fossil fuels, landfills, agriculture, wetlands, and oceans to atmospheric methane emissions. …”
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    The spatial relationship and influence mechanism of traditional villages and intangible cultural heritage: a case study of the upper reaches of the Yellow River Basin by Qianming Xue, Yuehao Huang

    Published 2025-02-01
    “…Abstract This paper focuses on 262 traditional villages (TVs) and 189 nationally recognized intangible cultural heritage (ICH) items in the upper Yellow River basin (YRB). Using nuclear density, distribution equilibrium and other research methods., this paper tries to reveal the spatial relationship between TVs and ICH, and analyzes its influencing factors. …”
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  9. 849

    Application of Revised Universal Soil Loss Equation (Rusle) Model to Assess Soil Erosion in “Kalu Ganga” River Basin in Sri Lanka by D. L. D. Panditharathne, N. S. Abeysingha, K. G. S. Nirmanee, Ananda Mallawatantri

    Published 2019-01-01
    “…The average annual soil loss in Kalu Ganga river basin varied from 0 to 134 t ha−1 year−1 and mean annual soil loss was estimated at 0.63 t ha−1 year−1. …”
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    Comparison of Three Statistical Downscaling Methods and Ensemble Downscaling Method Based on Bayesian Model Averaging in Upper Hanjiang River Basin, China by Jiaming Liu, Di Yuan, Liping Zhang, Xia Zou, Xingyuan Song

    Published 2016-01-01
    “…To improve the simulation accuracy of downscaling methods, the Bayesian Model Averaging (BMA) method combined with three statistical downscaling methods, which are support vector machine (SVM), BCC/RCG-Weather Generators (BCC/RCG-WG), and Statistics Downscaling Model (SDSM), is proposed in this study, based on the statistical relationship between the larger scale climate predictors and observed precipitation in upper Hanjiang River Basin (HRB). The statistical analysis of three performance criteria (the Nash-Sutcliffe coefficient of efficiency, the coefficient of correlation, and the relative error) shows that the performance of ensemble downscaling method based on BMA for rainfall is better than that of each single statistical downscaling method. …”
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  13. 853

    A Global hydrological index describes ecological conditions in rivers: A new approach to environmental flow calculation reflecting macroinvertebrate requirements by Andrzej Wałęga, Renata Kędzior, Tomasz Skalski, Dariusz Młyński

    Published 2025-01-01
    “…The Global Index (GI), reflecting crucial elements of hydrological influence on habitat quality and river ecological status, and the multiannual mean flow were used to determine e-flow. …”
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    Assessing groundwater artificial recharge suitability in the Mi River basin using GIS, RS, and FAHP: a comprehensive analysis with seasonal variations by Qianyu Song, Yuyu Liu, Zhongpeng Wang, Zhenghe Xu

    Published 2025-01-01
    “…This study provides a scientific foundation for sustainable groundwater management within the Mi River watershed and substantiates the effectiveness of GIS and FAHP in evaluating artificial recharge potential. …”
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