СИСТЕМНОЕ РЕШЕНИЕ ПРОБЛЕМЫ ВОДООБЕСПЕЧЕННОСТИ ОБЪЕКТОВ МЕЛИОРАТИВНОГО КОМПЛЕКСА

2020 ◽  
pp. 7
Author(s):  
V.B. Zhezmer
Keyword(s):  
Water Use ◽  
Water Availability ◽  
Arid Regions ◽  
Crop Yields ◽  
Negative Impact ◽  
Drainage Systems ◽  
Amount Of Information ◽  
Main Factors ◽  
The Creation ◽  
The Arid Regions

Водообеспеченность объектов мелиоративного комплекса имеет решающее значение при обеспечении высоких и устойчивых урожаев сельскохозяйственных культур в аридных регионах страны. В статье рассмотрены способы устранения негативного влияния основных факторов, способствующих созданию дефицита воды для орошения. Проведен анализ схемы, в которой целью мероприятий является эффективное вложение средств при восстановлении элементов гидромелиоративных систем и обеспечение рационализации водопользования. Установлено, что алгоритмы и конечные выводы, подученные в ходе анализа, могут различаться в зависимости от поставленных задач и объема информации.Water availability of the reclamation complex facilities is crucial in ensuring high and sustainable crop yields in the arid regions of the country. The article discusses ways to eliminate the negative impact of the main factors contributing to the creation of a shortage of water for irrigation. The analysis of the scheme in which the purpose of the measures is an effective investment in the restoration of elements of irrigation and drainage systems and ensuring the rationalization of water use is carried out. It is established that the algorithms and final conclusions obtained during the analysis may vary depending on the tasks and the amount of information.

Water Availability--The Connection Between Water Use and Quality

Fact Sheet ◽  
2008 ◽  
Author(s):  
Robert M. Hirsch ◽  
Pixie A. Hamilton ◽  
Timothy L. Miller ◽  
Donna N. Myers
Keyword(s):  
Water Use ◽  
Water Availability

Toward a New Moral Understanding of the Tudor Conquest of Ireland

2019 ◽  
pp. 1-21
Author(s):  
William Palmer
Keyword(s):  
At Risk ◽  
Sixteenth Century ◽  
Moral Understanding ◽  
Main Factors ◽  
Extreme Violence ◽  
The Creation ◽  
Moral Behaviors

The English conquest of Ireland during the sixteenth century was accompanied by extreme violence. Historians remain divided on the motivations behind this violence. This article argues that the English violence in Ireland may be attributed to four main factors: the fear of foreign Catholic intervention through Ireland; the methods by which Irish rebels chose to fight; decisions made by English officials in London to not fund English forces in Ireland at a reasonable level while demanding that English officials in Ireland keep Ireland under control; and the creation of a system by which many of those who made the plans never had to see the suffering they inflicted. The troops who carried out the plans had to choose between their own survival and moral behaviors that placed their survival at risk.

ISSUES OF GREENING THE LAND USE SYSTEM IN THE RUSSIAN FEDERATION

2020 ◽  
Keyword(s):  
Crop Rotation ◽  
Crop Yields ◽  
Plant Protection ◽  
Arable Land ◽  
Farming System ◽  
Perennial Grasses ◽  
Soil Protection ◽  
Anthropogenic Pressure ◽  
Strict Adherence ◽  
The Creation

Soil protection in agrolandscapes is especially necessary in conditions of intensification of production and increasing anthropogenic pressure on them. This complex should fit into the landscape farming system. The more intensive the load on the land in the farm, the higher the level of soil protection against destruction. The article notes that raising soil fertility, increasing crop yields and ecological environmental improvement are possible only on the basis of agrolandscape farming system, which allows to establish the correct ratio of arable land, meadows and forests. The transition to such a system of agriculture requires: development of a project for agrolandscape land management with a set of anti-erosion measures for each farm; adjusting the structure of sown areas taking into account market conditions, that is, increasing the area of productive crops in demand (winter and spring wheat, perennial grasses), which in combination with occupied and green manure pairs determine the structure of biologized crop rotation; widespread use of legumes (peas, vetch) as factors in the biologization of agriculture. The efficiency of expanding the area of perennial grasses to 25 % of arable land in some areas of the Non-Chernozem region and the Belgorod region is shown. Here, techniques that increase the efficiency of arable land are based on strict adherence to crop rotation with legumes, the use of adaptive varieties, and the use of biologized fertilizer and plant protection systems. It is noted that the creation of a system of shelterbelts makes it possible to reduce the cost of planting and growing them in comparison with single forest belts and what is very important for farmers is to sharply increase the return on their exploitation in the form of increased increases in crop yields. The creation of forest-sized landscapes will improve the environmental conditions for the cultivation of crops.

scholarly journals Spatial–Temporal Evolution Characteristics and Influencing Factors of Agricultural Water Use Efficiency in Northwest China—Based on a Super-DEA Model and a Spatial Panel Econometric Model

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 632
Author(s):  
Weinan Lu ◽  
Wenxin Liu ◽  
Mengyang Hou ◽  
Yuanjie Deng ◽  
Yue Deng ◽  
...  
Keyword(s):  
Water Use Efficiency ◽  
Water Use ◽  
Water Resource ◽  
Arid Regions ◽  
Econometric Model ◽  
Northwest China ◽  
Agricultural Water ◽  
Agricultural Water Use ◽  
Use Efficiency ◽  
Semi Arid

Improving agricultural water use efficiency (AWUE) is an important way to solve the shortage of water resources in arid and semi-arid regions. This study used the Super-DEA (data envelopment analysis) to measure the AWUE of 52 cities in Northwest China from 2000 to 2018. Based on spatial and temporal perspectives, it applied Exploratory Spatial Data Analysis (ESDA) to explore the dynamic evolution and regional differences of AWUE. A spatial econometric model was then used to analyze the main factors that influence the AWUE in Northwest China. The results showed firstly that the overall AWUE in Northwest China from 2000 to 2018 presented a steady upward trend. However, only a few cities achieved effective agricultural water usage by 2018, and the differences among cities were obvious. Secondly, AWUE showed an obvious spatial autocorrelation in Northwest China and showed significant high–high and low–low agglomeration characteristics. Thirdly, economic growth, urbanization development, and effective irrigation have significant, positive effects on AWUE, while per capita water resource has a significant, negative influence. Finally, when improving the AWUE in arid and semi-arid regions, plans should be formulated according to local conditions. The results of this study can provide new ideas on the study of AWUE in arid and semi-arid regions and provide references for the formulation of regional agricultural water resource utilization policies as well.

scholarly journals Modeling the Impact of Climate Changes on Crop Yield: Irrigated vs. Non-Irrigated Zones in Mississippi

2021 ◽  
Vol 13 (12) ◽  
pp. 2249
Author(s):  
Sadia Alam Shammi ◽  
Qingmin Meng
Keyword(s):  
Climate Change ◽  
Crop Yield ◽  
Crop Yields ◽  
Negative Impact ◽  
Positive Impact ◽  
Information Criterion ◽  
Growing Season ◽  
Maximum Temperature ◽  
Linear Regression Models ◽  
The Impact

Climate change and its impact on agriculture are challenging issues regarding food production and food security. Many researchers have been trying to show the direct and indirect impacts of climate change on agriculture using different methods. In this study, we used linear regression models to assess the impact of climate on crop yield spatially and temporally by managing irrigated and non-irrigated crop fields. The climate data used in this study are Tmax (maximum temperature), Tmean (mean temperature), Tmin (minimum temperature), precipitation, and soybean annual yields, at county scale for Mississippi, USA, from 1980 to 2019. We fit a series of linear models that were evaluated based on statistical measurements of adjusted R-square, Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC). According to the statistical model evaluation, the 1980–1992 model Y[Tmax,Tmin,Precipitation]92i (BIC = 120.2) for irrigated zones and the 1993–2002 model Y[Tmax,Tmean,Precipitation]02ni (BIC = 1128.9) for non-irrigated zones showed the best fit for the 10-year period of climatic impacts on crop yields. These models showed about 2 to 7% significant negative impact of Tmax increase on the crop yield for irrigated and non-irrigated regions. Besides, the models for different agricultural districts also explained the changes of Tmax, Tmean, Tmin, and precipitation in the irrigated (adjusted R-square: 13–28%) and non-irrigated zones (adjusted R-square: 8–73%). About 2–10% negative impact of Tmax was estimated across different agricultural districts, whereas about −2 to +17% impacts of precipitation were observed for different districts. The modeling of 40-year periods of the whole state of Mississippi estimated a negative impact of Tmax (about 2.7 to 8.34%) but a positive impact of Tmean (+8.9%) on crop yield during the crop growing season, for both irrigated and non-irrigated regions. Overall, we assessed that crop yields were negatively affected (about 2–8%) by the increase of Tmax during the growing season, for both irrigated and non-irrigated zones. Both positive and negative impacts on crop yields were observed for the increases of Tmean, Tmin, and precipitation, respectively, for irrigated and non-irrigated zones. This study showed the pattern and extent of Tmax, Tmean, Tmin, and precipitation and their impacts on soybean yield at local and regional scales. The methods and the models proposed in this study could be helpful to quantify the climate change impacts on crop yields by considering irrigation conditions for different regions and periods.

scholarly journals How downstream sub-basins depend on upstream inflows to avoid scarcity: typology and global analysis of transboundary rivers

2018 ◽  
Vol 22 (5) ◽  
pp. 2795-2809 ◽  
Author(s):  
Hafsa Ahmed Munia ◽  
Joseph H. A. Guillaume ◽  
Naho Mirumachi ◽  
Yoshihide Wada ◽  
Matti Kummu
Keyword(s):  
Water Stress ◽  
Water Use ◽  
Water Availability ◽  
Water Scarcity ◽  
Management Practices ◽  
Global Analysis ◽  
Water Shortage ◽  
River Basins ◽  
Analytical Framework ◽  
Available Water

Abstract. Countries sharing river basins are often dependent upon water originating outside their boundaries; meaning that without that upstream water, water scarcity may occur with flow-on implications for water use and management. We develop a formalisation of this concept drawing on ideas about the transition between regimes from resilience literature, using water stress and water shortage as indicators of water scarcity. In our analytical framework, dependency occurs if water from upstream is needed to avoid scarcity. This can be diagnosed by comparing different types of water availability on which a sub-basin relies, in particular local runoff and upstream inflows. At the same time, possible upstream water withdrawals reduce available water downstream, influencing the latter water availability. By developing a framework of scarcity and dependency, we contribute to the understanding of transitions between system regimes. We apply our analytical framework to global transboundary river basins at the scale of sub-basin areas (SBAs). Our results show that 1175 million people live under water stress (42 % of the total transboundary population). Surprisingly, the majority (1150 million) of these currently suffer from stress only due to their own excessive water use and possible water from upstream does not have impact on the stress status – i.e. they are not yet dependent on upstream water to avoid stress – but could still impact on the intensity of the stress. At the same time, 386 million people (14 %) live in SBAs that can avoid stress owing to available water from upstream and have thus upstream dependency. In the case of water shortage, 306 million people (11 %) live in SBAs dependent on upstream water to avoid possible shortage. The identification of transitions between system regimes sheds light on how SBAs may be affected in the future, potentially contributing to further refined analysis of inter- and intrabasin hydro-political power relations and strategic planning of management practices in transboundary basins.

South Africa’s increasing climate variability and its effect on food production

2021 ◽  
pp. 003072702110049
Author(s):  
Mashudu Tshikovhi ◽  
Roscoe Bertrum van Wyk
Keyword(s):  
South Africa ◽  
Climate Variability ◽  
Food Production ◽  
Fixed Effects ◽  
Crop Yields ◽  
Negative Impact ◽  
Secondary Data ◽  
Mean Annual Temperature ◽  
Fixed Effects Panel Regression ◽  
The Impact

This study examines the impact of increasing climate variability on food production in South Africa, focusing on maize and wheat yields. A two-way fixed effects panel regression model was used to assess the climate variability impacts, analysing secondary data for the period 2000 to 2019 for nine provinces in South Africa. The study found that increasing climate variability has a negative impact on maize and wheat production in South Africa. Specifically, the results indicated a negative correlation between mean annual temperature with both maize and wheat yields. A decrease in precipitation affected maize yields negatively, while the impact on wheat yields was positive, although insignificant. This analysis, therefore, depicted that crop yields generally increase with more annual precipitation and decrease with higher temperatures. The study recommends that funding initiatives to educate farmers on increasing climate variability and its effects on farming activities in South Africa should be prioritised.

scholarly journals Modelling global water stress of the recent past: on the relative importance of trends in water demand and climate variability

2011 ◽  
Vol 15 (12) ◽  
pp. 3785-3808 ◽  
Author(s):  
Y. Wada ◽  
L. P. H. van Beek ◽  
M. F. P. Bierkens
Keyword(s):  
Water Stress ◽  
Climate Variability ◽  
Water Use ◽  
Extreme Events ◽  
Water Availability ◽  
Water Scarcity ◽  
Water Demand ◽  
Developing Economies ◽  
Blue Water ◽  
Global Population

Abstract. During the past decades, human water use has more than doubled, yet available freshwater resources are finite. As a result, water scarcity has been prevalent in various regions of the world. Here, we present the first global assessment of past development of water stress considering not only climate variability but also growing water demand, desalinated water use and non-renewable groundwater abstraction over the period 1960–2001 at a spatial resolution of 0.5°. Agricultural water demand is estimated based on past extents of irrigated areas and livestock densities. We approximate past economic development based on GDP, energy and household consumption and electricity production, which are subsequently used together with population numbers to estimate industrial and domestic water demand. Climate variability is expressed by simulated blue water availability defined by freshwater in rivers, lakes, wetlands and reservoirs by means of the global hydrological model PCR-GLOBWB. We thus define blue water stress by comparing blue water availability with corresponding net total blue water demand by means of the commonly used, Water Scarcity Index. The results show a drastic increase in the global population living under water-stressed conditions (i.e. moderate to high water stress) due to growing water demand, primarily for irrigation, which has more than doubled from 1708/818 to 3708/1832 km3 yr−1 (gross/net) over the period 1960–2000. We estimate that 800 million people or 27% of the global population were living under water-stressed conditions for 1960. This number is eventually increased to 2.6 billion or 43% for 2000. Our results indicate that increased water demand is a decisive factor for heightened water stress in various regions such as India and North China, enhancing the intensity of water stress up to 200%, while climate variability is often a main determinant of extreme events. However, our results also suggest that in several emerging and developing economies (e.g. India, Turkey, Romania and Cuba) some of past extreme events were anthropogenically driven due to increased water demand rather than being climate-induced.

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