Showing 401 - 420 results of 938 for search '"river basin"', query time: 0.08s Refine Results
  1. 401

    Executive Summary of the Economic Contributions and Ecosystem Services of Springs in the Lower Suwannee and Santa Fe River Basins of North-Central Florida by Tatiana Borisova, Alan W. Hodges, Thomas J. Stevens

    Published 2015-05-01
    “…FE958/FE958: Executive Summary of the Economic Contributions and Ecosystem Services of Springs in the Lower Suwannee and Santa Fe River Basins of North-Central Florida (ufl.edu) …”
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    The Use of Soybean–Corn Strip Compound Planting Implements in the Yellow River Basin of China for Intercropping Patterns in Areas of Similar Dimensions by Qi Fan, Nan Gao, Yonglai Zhao, Yong Zhang, Xiaoyu Liu, Yaqing Ding, Wenxue Niu, Lihe Wang, Ruilong Feng

    Published 2024-12-01
    “…In this regard, through a review of the literature and a field sowing test, we briefly describe the current situation of soybean and corn strip sowing machinery in the Yellow River basin, analyze the existing problems in mechanized planting, and give suggestions for improvement, aiming to provide a reference for the research and development of machinery.…”
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  5. 405

    Study on the effects of land use transformation on habitat quality and its driving mechanisms: a case study of the Qin-Mang River Basin by Jiwei Zhao, Luyao Wang, Dong Jia, Yaowen Wang

    Published 2025-01-01
    “…Habitat quality (HQ) is a critical factor for regional ecosystem health and sustainable development, as well as an important basis for formulating ecological protection and land-use planning. The Qin-Mang River Basin, as an integral part of the biodiversity conservation area in the Yellow River Basin, plays a significant role in maintaining the balance and stability of the regional ecosystem. …”
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  6. 406

    Spatially explicit assessment of water stress and potential mitigating solutions in a large water-limited basin: the Yellow River basin in China by W. Zhang, W. Zhang, X. Zhao, X. Zhao, X. Gao, W. Liang, J. Li, B. Zhang

    Published 2025-01-01
    “…Here, an integrated analytical framework was applied to the Yellow River basin (YRB), where the water crisis has been a core issue for sustainable development. …”
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    Research Framework and Prospects for Water Security in Pearl River Basin Oriented to Construction of Guangdong-Hong Kong-Macao Greater Bay Area by MA Xinghua, ZHANG Yun, CUI Guotao, SHI Shujie, ZUO Qiting

    Published 2024-05-01
    “…Studying the water security system of the Pearl River Basin oriented toward the construction of the Greater Bay Area is of great practical need and strategic significance. …”
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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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  17. 417

    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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  18. 418

    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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