scholarly journals The Application of an Agricultural Water Balance and Erosion Model in Environmental Science a User Perspective

1986 ◽  
pp. 173-190 ◽  
Author(s):  
T.E. Hakonson ◽  
G.R. Foster ◽  
L.J. Lane ◽  
J.W. Nyhan
Keyword(s):  
Water Balance ◽  
Environmental Science ◽  
Agricultural Water ◽  
User Perspective ◽  
Erosion Model

scholarly journals Water-Centric Nexus Approach for the Agriculture and Forest Sectors in Response to Climate Change in the Korean Peninsula

Agronomy ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1657
Author(s):  
Chul-Hee Lim
Keyword(s):  
Climate Change ◽  
Water Balance ◽  
Water Supply ◽  
Water Demand ◽  
Korean Peninsula ◽  
Spatial Models ◽  
Climatic Conditions ◽  
Agricultural Water ◽  
Adaptation To Climate Change ◽  
The Future

Climate change has inherent multidisciplinary characteristics, and predicting the future of a single field of work has a limit. Therefore, this study proposes a water-centric nexus approach for the agriculture and forest sectors for improving the response to climate change in the Korean Peninsula. Two spatial models, i.e., Environmental Policy Integrated Climate and Integrated Valuation of Ecosystem Services and Tradeoffs, were used to assess the extent of changes in agricultural water demand, forest water supply, and their balance at the watershed level in the current and future climatic conditions. Climate changed has increased the agricultural water demand and forest water supply significantly in all future scenarios and periods. Comparing the results with RCP8.5 2070s and the baseline, the agricultural water demand and forest water supply increased by 35% and 28%, respectively. Water balance assessment at the main watershed level in the Korean Peninsula revealed that although most scenarios of the future water supply increases offset the demand growth, a risk to water balance exists in case of a low forest ratio or smaller watershed. For instance, the western plains, which are the granary regions of South and North Korea, indicate a higher risk than other areas. These results show that the land-use balance can be an essential factor in a water-centric adaptation to climate change. Ultimately, the water-centric nexus approach can make synergies by overcoming increasing water demands attributable to climate change.

scholarly journals AGRICULTURAL WATER BALANCE STUDY IN SINDH (PAKISTAN) USING SATELLITE-DERIVED ACTUAL EVAPOTRANSPIRATION

2020 ◽  
Author(s):  
Arjumand Zaidi ◽  
Nabeel Khan ◽  
Bakhshal Lashari ◽  
Farooq Laghari ◽  
Vengus Panhwar
Keyword(s):  
Water Balance ◽  
Actual Evapotranspiration ◽  
Agricultural Water ◽  
Balance Study

Agricultural hydroinformatics: agricultural water systems management as a new application for hydroinformatics

2020 ◽  
Author(s):  
Paul Celicourt ◽  
Silvio J. Gumiere ◽  
Alain Rousseau
Keyword(s):  
Agricultural Development ◽  
Environmental Science ◽  
Simulation Models ◽  
Water Systems ◽  
Agricultural Systems ◽  
Agricultural Water ◽  
Systems Management ◽  
Research Areas ◽  
Systems Research ◽  
Wide Range

<p>Hydroinformatics, throughout its more than 25 years of existence, has been applied to a set of research areas. So far, these applications include: hydraulics and hydrology, environmental science and technology, knowledge systems and knowledge management, urban water systems management.</p><p>This paper introduces agricultural water systems management as a new application for hydroinformatics, and terms it as “agricultural hydroinformatics”. It presents a discipline-delineated conceptual framework originating from the particularities of the socio-technical dimension of applying hydroinformatics in agriculture. It epitomizes the wholeness and inter-dependencies of agricultural systems studies and modelling. It is suitable to support, not only integrated agricultural water resources management in particular, but also agricultural sustainability in general, in addition to a wide range of agricultural development situations beyond connections between agro-economic and water engineering development and its socio-economic impacts.</p><p>The paper also highlights some contributions of hydroinformatics to agriculture including new kinds of sensing technologies, information and simulation models development that bear the potential to boost reproducibility of agricultural systems research through systematic and formal records of the relationships among raw data, the processes that produce results and the results themselves.</p>

scholarly journals REMOTE SENSING FOR AGRICULTURAL WATER MANAGEMENT (RS4AWM) EDUCATIONAL COURSE WITHIN POST-GRADUATE PROGRAM FOR WATER PROFESSIONALS

2018 ◽  
Vol XLII-5 ◽  
pp. 21-27
Author(s):  
P. Karimi ◽  
S. Pareeth ◽  
C. D. Fraiture
Keyword(s):  
Water Management ◽  
Remote Sensing ◽  
Environmental Science ◽  
Graduate Program ◽  
Water Security ◽  
Climate Science ◽  
Future Generation ◽  
Agricultural Water ◽  
Agricultural Water Management ◽  
Post Graduate

<p><strong>Abstract.</strong> Geospatial technology has become a core subject in many of the graduate and post-graduate educational curriculum. Last two decades saw substantial development in the field of geospatial science including earth observation and remote sensing and these technologies are widely being used in applications related to land and water resources monitoring, agricultural water management, hydrology, climate science, ecology, environmental science, civil and planning etc. Among these geospatial technologies for agricultural water management is extremely valuable because food and water security are among the biggest challenges that many countries are facing. This is widely recognized in the United Nations Sustainable Development Goals (SDGs) 2 and 6. Reliable information at local and regional scales are the building block for identifying effective and sustainable coping strategies. In this context, developing the capacity of the local experts in using these technologies to support informed decision making is important. RS4AWM course aims at contributing toward this goal by training future generation of water and agriculture professional who will be equipped to use geospatial tools and data in addressing future food and water challenges at different scales. In this manuscript, we explain the evolution and structure of this course and how it is designed to cater the water professionals globally.</p>

scholarly journals DEFICIÊNCIA HÍDRICA E EXCEDENTE HÍDRICO PROVÁVEIS PARA MILHO E SOJA NO ESTADO DO PARANÁ, SUL DO BRASIL

Irriga ◽  
2021 ◽  
Vol 26 (2) ◽  
pp. 293-314
Author(s):  
Bruno Cesar Gurski ◽  
Jorge Luiz Moretti de Souza ◽  
Alexandre Cândido Xavier ◽  
Aline Aparecida dos Santos
Keyword(s):  
Water Balance ◽  
Probability Density ◽  
The State ◽  
Climatic Data ◽  
Agricultural Water ◽  
Water Deficiency ◽  
Frequency Distributions ◽  
Espírito Santo ◽  
Espirito Santo ◽  
E Mail

DEFICIÊNCIA HÍDRICA E EXCEDENTE HÍDRICO PROVÁVEIS PARA MILHO E SOJA NO ESTADO DO PARANÁ, SUL DO BRASIL1     BRUNO CESAR GURSKI2; JORGE LUIZ MORETTI DE SOUZA2; ALEXANDRE CANDIDO XAVIER3; ALINE APARECIDA DOS SANTOS2   1 Trabalho originado da tese de doutorado do primeiro autor intitulada: “Componentes hídricas prováveis e zoneamento de risco agroclimático para o estado do Paraná”. 2 Departamento de Solos e Engenharia Agrícola, Universidade Federal do Paraná, Rua dos Funcionários, 1540, Cabral, CEP 80035-050, Curitiba, Paraná, Brasil. E-mails: [email protected]; [email protected]; [email protected]. 3 Departamento de Engenharia Rural, Universidade Federal do Espírito Santo, Rua Alto Universitário, S/N, CEP 29500-000, Alegre, Espírito Santo, Brasil. E-mail: [email protected].     1 RESUMO   Teve-se por objetivo calcular os valores prováveis de deficiência hídrica (Def) e excedente hídrico (Exc) para o milho e a soja no estado do Paraná a fim de obter os melhores períodos de semeadura. Os dados climáticos (1980 a 2013) foram espacializados em grid regular de 0,25º x 0,25º. O balanço hídrico agrícola foi calculado diariamente com o programa AquaCrop, sendo os valores somados e agrupados em 37 decêndios por ano. Foram realizadas distribuições de frequência e aplicados testes de aderência aos decêndios para ajustá-los a funções densidade de probabilidade (FDP’s). Determinou-se os valores decendiais prováveis de Def e Exc a 10%, 25% e 50% de probabilidade. Gama e Exponencial foram as FDP’s que apresentaram aderência a maior quantidade de locais, enquanto a Uniforme pode ser descartada para ajustes futuros. No estado do Paraná, em média, a menor Def ocorre quando a soja é semeada de 27 a 31 de dezembro e o menor Exc ocorre de 08 a 17 de outubro. Para o milho 1ª e 2ª safras, os menores Def’s ocorrem quando são semeados de 17 a 26 de dezembro e 22 a 31 de março, respectivamente, e os menores Exc’s dependem do nível de probabilidade.   Palavras-chave: déficit, excesso, balanço hídrico agrícola, função densidade de probabilidade, Aquacrop.     GURSKI, B. C.; SOUZA, J. L. M.; XAVIER, A. C.; SANTOS, A. A. PROBABLE WATER DEFICIENCY AND SURPLUS FOR CORN AND SOYBEAN IN THE STATE OF PARANÁ, SOUTHERN BRAZIL     2 ABSTRACT   We aimed to calculate the probable values ​​of water deficiency (Def) and surplus (Exc) for corn and soybean in the state of Paraná, to obtain the best sowing periods. Climatic data (1980 to 2013) were spatialized in a regular grid of 0.25º x 0.25º. The agricultural water balance was calculated daily using the AquaCrop program, with the values ​​added up and grouped into 37 ten days per year. Frequency distributions were carried out and adherence tests were applied to ten days periods to adjust them to probability density functions (PDF’s). The probable decennial values ​​of Def and Exc were determined at 10%, 25% and 50% of probability. Gamma and Exponential were the PDF’s that showed adherence to the greatest number of locations, while Uniform can be discarded for future adjustments. In the State of Paraná, on average, the lowest Def occurs when soybean is sown from December 27th to 31, while the lowest Exc occurs from October 8th to 17. For season and off-season corn, the smallest Def’s occur when they are sown from December 17th to 26 and March 22nd to 31, respectively, and the smallest Exc’s depends on the level of probability.   Keywords: deficit, excess, agricultural water balance, probability density function, Aquacrop

Evaluating Applicability of Water Balance Analysis System Considering Supply Network of Agricultural Water

2019 ◽  
Vol 15 (12) ◽  
pp. 169-182
Author(s):  
Seung Jin Maeng ◽  
Ju Ha Hwang ◽  
Sang Woo Kim ◽  
Hyung San Kim ◽  
Yong Ho Kang
Keyword(s):  
Water Balance ◽  
Supply Network ◽  
Agricultural Water ◽  
Balance Analysis ◽  
Analysis System

scholarly journals A review on the quantification of soil water balance components as a basis for agricultural water management with a focus on weighing lysimeters and soil water sensors / Ein Überblick über die Ermittlung von Wasserhaushaltsgrößen als Basis für die landeskulturelle Wasserwirtschaft mit Fokus auf Lysimeter und Bodenwassersensoren

2016 ◽  
Vol 67 (3) ◽  
pp. 133-144 ◽  
Author(s):  
Reinhard Nolz
Keyword(s):  
Water Management ◽  
Water Balance ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Data Availability ◽  
Soil Water Balance ◽  
High Temporal Resolution ◽  
Agricultural Water ◽  
Agricultural Water Management

Summary Knowing the components of a soil water balance—for example, evapotranspiration, soil water content, and precipitation—is the basis for agricultural water management. Weighing lysimeters and soil water sensors are commonly used to quantify these components. Data can be used to validate common models to estimate evapotranspiration based on meteorological data, for instance. As every measurement device has its own characteristics, it is helpful to assess and improve the performance of a system to obtain best possible data. Recent developments in the processing of lysimeter data allow determining both evapotranspiration and precipitation directly from lysimeter data. Resulting datasets are characterized by a proper accuracy, completeness, and a high temporal resolution. Soil water sensors usually measure a physical property that is related to soil water content or matric potential via a specific calibration function. Hence, measurement accuracy depends not only on this calibration but also on basic physical principles and material properties. Knowing the performance of a device is, therefore, essential for the selection of an adequate sensor arrangement and truthful data interpretation. Advanced soil water monitoring sites combine different sensor types that are integrated into a wireless network to enable real-time data availability and provide a basis for large-scale monitoring.

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