Resultados de búsqueda - "hydrology"

Nueva base de datos reticulada de temperatura para la provincia de Santa Cruz, Argentina por Almonacid, Leandro, Pessacg, Natalia, Diaz, Boris Gaston, Bonfili, Oscar, Peri, Pablo Luis

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Solar-based irrigation systems as a game changer to improve agricultural practices in Sub-Sahara Africa: a case study from Mali por Birhanu, B.Z., Sanogo, K., Traoré, S.S., Minh, Thai Thi, Kizito, Fred

“…Better agricultural and nutritional security are further hampered by the lack of reliable access to the available water resources in the subsurface hydrological system. Methods: This study used socio-economic data from 112 farm households and Boolean and Fuzzy methods to understand farmers' perceptions and identify suitable areas to implement Solar Based Irrigation Systems (SBISs) in the agro-ecologies of Bougouni and Koutiala districts of southern Mali. …”
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Assessing the accuracy of multi-model approaches for downscaling land surface temperature across diverse agroclimatic zones por Roy, Debasish, Das, Bappa, Singh, Pooja, Santra, Priyabrata, Deb, Shovik, Bhattacharya, Bimal Kumar, Govind, Ajit, Jatav, Raghuveer, Sethi, Deepak, Ghosh, Tridiv, Mukherjee, Joydeep, Sehgal, Vinay Kumar, Prakash Kumar Jha, Goroshi, Sheshakumar, Prasad, P. V. Vara, Chakraborty, Debashis

“…However, the applicability of current LST estimates for field-level hydrological, agricultural, and ecological operations is challenging due to their coarse spatiotemporal resolution. …”
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Assessing the accuracy of multi-model approaches for downscaling land surface temperature across diverse agroclimatic zones por Roy, Debasish, Das, Bappa, Singh, Pooja, Santra, Priyabrata, Deb, Shovik, Kumar Bhattacharya, Bimal, Govind, Ajit, Jatav, Raghuveer, Sethi, Deepak, Ghosh, Tridiv, Mukherjee, Joydeep, Kumar Sehgal, Vinay, Kumar Jha, Prakash, Goroshi, Sheshakumar, Vara Prasad, V. P., Chakraborty, Debashis

“…However, the applicability of current LST estimates for field-level hydrological, agricultural, and ecological operations is challenging due to their coarse spatiotemporal resolution. …”
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Spatio-temporal distribution and chemical characterization of groundwater quality of a wastewater irrigated system: a case study por Jampani, M., Huelsmann, S., Liedl, R., Sonkamble, S., Ahmed, S., Amerasinghe, Priyanie H.

“…To elucidate the groundwater quality dynamics and seasonality of the wastewater irrigation impacts on the peri-urban agricultural system, we analyzed the groundwater quality on a monthly basis for one hydrological year in the wastewater and groundwater irrigated areas, which exist next to each other. …”
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Using indigenous knowledge to link hyper-temporal land cover mapping with land use in the Venezuelan Amazon: "The Forest Pulse" por Olivero, J., Ferri, F., Acevedo, P., Lobo, J.M., Fa, J.E., Farfán, M.A., Romero, D., Blanco, G., Real, R.

“…We then characterized land classes using greenness and topo-hydrological information, and proposed 12 land-cover types, grouped into five main landscapes: 1) water bodies; 2) open lands/forest edges; 3) evergreen forests; 4) submontane semideciduous forests, and 5) cloud forests. …”
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Pesticide dynamics in agroecosystems: Assessing climatic and hydro-physical effects in a soybean cycle under no-tillage por Behrends Kraemer, Filipe, Castiglioni, Mario Guillermo, Chagas, Celio Ignacio, De Paula, R., Sainz, Daiana Soledad, De Geronimo, Eduardo, Aparicio, Virginia Carolina, Ferraro, Diego Omar

“…Thus, the selection of appropriate agricultural management is a key factor to modify hydro-physical top soil dynamics to change hydrological partition from horizontal to vertical fluxes, in particular in soils with poor structural condition.…”
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Partition of some key regulating services in terrestrial ecosystems : meta-analysis and review por Viglizzo, Ernesto Francisco, Jobbagy Gampel, Esteban Gabriel, Ricard, Maria Florencia, Paruelo, José María

“…Using a simplified eco-hydrological scheme, in this work we analyzed how land-use decisions modify the partition of some essential regulatory ES by altering basic relationships between biomass stocks and water flows. …”
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Hydraulic conductivity and pore connectivity. Effects of conventional and no-till systems determined using a simple laboratory device por Soracco, Carlos Germán, Villarreal, Rafael, Melani, Esteban, Oderiz, Juan Agustin, Salazar, María Paz, Otero, María Florencia, Irizar, Alicia Beatriz, Lozano, Luis Alberto

“…Soil hydraulic conductivity is a property that describes how easily water can move through a porous space and its determination is important because it controls many soil hydrological processes. The objectives of this work were: i - to assess the suitability of lab tension mini-infiltrometry to measure hydraulic conductivity, by comparing with field tension disc infiltrometer data; and ii - to assess the effect of different tillage practices on hydraulic conductivity values and pore network in three different soils from Argentinean Pampas Region. …”
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Establishing irrigation potential of a hillside aquifer in the African highlands por Tilahun, Seifu A., Yilak, Debebe L., Schmitter, Petra S., Zimale, Fasikaw A., Langan, Simon J., Barron, Jennie, Parlange, Jean-Yves, Steenhuis, Tammo S.

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Managed aquifer recharge in Africa: taking stock and looking forward por Ebrahim, Girma Yimer, Lautze, Jonathan F., Villholth, Karen G.

“…Ultimately, realizing the full potential of MAR in Africa will require undertaking hydrogeological and hydrological studies to determine feasibility of MAR, especially in geographic regions of high inter-annual climate variability and growing water demand. …”
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Simulating the effect of change in land cover and rainfall in Upper Citarum Watershed: calibration and sensitivity analysis of GenRiver model por Tanika, L., Lusiana, B., Hendriatna, A.

“…Land use and climate change significantly affect watershed hydrological conditions and, hence, influence the effectiveness of a watershed in regulating landscape water balance. …”
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Training workshops on Enhancing National Climate Services (ENACTS) por Dembélé, Catherine, Zounnon, Emmanuel-Eunice, Bazie, Paulin

“…To help farmers coping with the negative impact of climate change CORAF and ICRAF are collaborating with various partners including AGRHYMET, Climate Change Agriculture and Food Security research program (CCAFS), the University of Reading, national meteorological and hydrological Services, nationalresearch institutes and variousNGOsinmanyWestAfrican countriesto implement innovative approaches such as climate smart agriculture (CSA), climate smart village (CSV) and Participatory Integrated Climate Services for Agriculture (PICSA). …”
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A QTL for rice grain yield in aerobic environments with large effects in three genetic backgrounds por Venuprasad, R., Bool, M.E., Quiatchon, L., Atlin, G.N.

“…The effect of qDTY6.1 was tested in a total of 20 hydrological environments over a period of five seasons and in five populations in the three genetic backgrounds. …”
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Viewpoint: irrigation water management in a space age por Hafeez, Mohsin, Awan, Usman Khalid

“…Examples of the state-of-the-art tools described in this paper include: (i) using geoinformatics to monitor the diagnostic and operational performance of large irrigation schemes; (ii) quantifying groundwater and surface water to better manage these two resources using geoinformatics; (iii) forecasting irrigation supply and demand at high spatial and temporal scales using hydrological modelling based on the nodal network; (iv) forecasting crop yield production by satellite remote sensing. …”
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Experience-sharing Workshop to Support Co-development of National Framework for Weather, Water and Climate Services (NFWWCS) for Eastern and Southern Africa por Mamadi, Mabu

“…Mirroring the functioning of the GFCS, NFWWCS provides for an enhancement and expansion of the NFCS, which its function is now being expanded to include weather and hydrological services, based on the experiences and lesson learned during the development and implementation of the NFCS across few WMO member states that have embarked on the framework development process.…”
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How best to incorporate conjunctive water management into international water law: legal amendment, instrument coupling, or new protocol adoption? por Ibrahim, I. A., Lautze, Jonathan F.

“…Benefits of doing so include more effective management of transboundary freshwater resources that are interconnected hydrologically, a less fragmented and more consistent international water regime, and ultimately more benefits accruing to the populations and environmental goods dependent on shared water resources.…”
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Surface water area dynamics of the major lakes of Ethiopia (1985–2023): A spatio-temporal analysis por Getaneh, Yonas, Abera, Wuletawu, Abegaz, Assefa, Tamene, Lulseged D.

“…This study presents the first comprehensive account of major Ethiopian lakes’ long-term water surface area dynamics, providing essential information for prioritizing hydrological conservation strategies. We extracted the time-series water surface area of the lakes from Landsat images in the Google Earth Engine (GEE), using the Modified Normalized Water Index (MNDWI) and machine learning (Random Forest) methods. …”
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Enhancing the water accounting plus framework to evaluate field-level water use and availability in rice-dominant cropping system and potential for mapping GHG emissions at scale:... por Mahapatra, Smaranika, Velpuri, Naga Manohar, Schmitter, Petra S., Pandey, Shivam, Sikka, Alok

“…This study applies the conventional water accounting plus (WA+) framework that uses remotely sensed data products for the Eastern Gangetic Plains (EGP) region to estimate total water use, irrigation water use, and other hydrologic variables. These variables are estimated and assessed for entire cropland areas and selected rice fields across Bihar, India. …”
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Seasonal maize yield forecasting in South and East African countries using hybrid earth observation models por Kenduiywo, Benson Kipkemboi, Miller, Sara

“…To help governments in Kenya (KEN), Zambia (ZMB), and Malawi (MWI) adopt digitally advanced maize yield forecasts, we developed a hybrid model based on the Regional Hydrologic Extremes Assessment System (RHEAS) and machine learning. …”
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