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Xiuxia Ma, Wenfa Peng, Bingwei Tong, Taiyun Li, Le Wang, Bin Du and Chaochao Li
To comprehensively comprehend the spatiotemporal variations in pollution load within the Sixth Drainage Ditch of the Ningxia Yellow River Diversion Irrigation Area, we employed the LOADEST model. We utilized daily flow data and concentrations of ammonia ...
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Steffen Gliege, Björn D. Thomas, Jörg Steidl, Tobias L. Hohenbrink, Ottfried Dietrich
Pág. 1 - 17
Decreasing groundwater levels in many parts of Germany and decreasing low flows in Central Europe have created a need for adaptation measures to stabilize the water balance and to increase low flows. The objective of our study was to estimate the impact ...
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Steffen Gliege, Björn D. Thomas, Jörg Steidl, Tobias L. Hohenbrink and Ottfried Dietrich
Decreasing groundwater levels in many parts of Germany and decreasing low flows in Central Europe have created a need for adaptation measures to stabilize the water balance and to increase low flows. The objective of our study was to estimate the impact ...
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Luigi Pari, Luca Cozzolino and Simone Bergonzoli
Many climatic variables are projected to occur with more intense and frequent extreme events, possibly unpredictable patterns and negative feedback loops with other environmental processes. Agriculture has faced uncertainty regarding ground temperature a...
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Chitao Sun, Di Feng, Zhaorong Mi, Caixia Li, Junpeng Zhang, Yang Gao, Jingsheng Sun
Pág. 1 - 15
Flat (F), mini-ditch (MD), and ridge-furrow (RF) are three conventional cotton planting patterns that are usually adopted around the world, yet soil and crop responses to these three patterns are poorly studied, as is their suitability for increasing yie...
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Chitao Sun, Di Feng, Zhaorong Mi, Caixia Li, Junpeng Zhang, Yang Gao and Jingsheng Sun
Flat (F), mini-ditch (MD), and ridge-furrow (RF) are three conventional cotton planting patterns that are usually adopted around the world, yet soil and crop responses to these three patterns are poorly studied, as is their suitability for increasing yie...
ver más
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