Monitoring agricultural water in the desert environment of New Valley Governorate for sustainable agricultural development: a case study of Kharga

Author(s):  
Mohammed A. El-Shirbeny ◽  
Abdelraouf M. Ali ◽  
Ghada A. Khdery ◽  
Nasser H. Saleh ◽  
Nagwan M. Afify ◽  
...  
Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 187
Author(s):  
Marek Ogryzek ◽  
Krzysztof Rząsa ◽  
Ryszard Źróbek

Agricultural development is determined by various factors, such as environmental, economic, demographic, or social circumstances. In order to present the level of this development as com-prehensively as possible, a multidimensional analysis should be carried out with an appropriate methodology. In this article, a taxonomic approach known as the Hellwig’s method was used to determine the level of agricultural development. The area of research was the territory of Poland, divided into voivodships, which are the main units of the administrative division of the country. The development of agriculture thus determined was correlated with activities pursued by the National Agricultural Support Centre (NASC), an institution responsible for the management of agricultural real estate owned by the State Treasury in Poland. The results showed that the NASC’s activities are related to the level of agricultural development in every voivodship. The investigated model of rural space management was shown to be a rational one, performing well in today’s market conditions. The proposed methodology could adapt to similar situations and can be used in similar research on rural areas.


2018 ◽  
Vol 10 (10) ◽  
pp. 3556 ◽  
Author(s):  
Gang Liu ◽  
Lu Shi ◽  
Kevin Li

This paper develops a lexicographic optimization model to allocate agricultural and non-agricultural water footprints by using the land area as the influencing factor. An index known as the water-footprint-land density (WFLD) index is then put forward to assess the impact and equity of the resulting allocation scheme. Subsequently, the proposed model is applied to a case study allocating water resources for the 11 provinces and municipalities in the Yangtze River Economic Belt (YREB). The objective is to achieve equitable spatial allocation of water resources from a water footprint perspective. Based on the statistical data in 2013, this approach starts with a proper accounting for water footprints in the 11 YREB provinces. We then determined an optimal allocation of water footprints by using the proposed lexicographic optimization approach from a land area angle. Lastly, we analyzed how different types of land uses contribute to allocation equity and we discuss policy changes to implement the optimal allocation schemes in the YREB. Analytical results show that: (1) the optimized agricultural and non-agricultural water footprints decrease from the current levels for each province across the YREB, but this decrease shows a heterogeneous pattern; (2) the WFLD of 11 YREB provinces all decline after optimization with the largest decline in Shanghai and the smallest decline in Sichuan; and (3) the impact of agricultural land on the allocation of agricultural water footprints is mainly reflected in the land use structure of three land types including arable land, forest land, and grassland. The different land use structures in the upstream, midstream, and downstream regions lead to the spatial heterogeneity of the optimized agricultural water footprints in the three YREB segments; (4) In addition to the non-agricultural land area, different regional industrial structures are the main reason for the spatial heterogeneity of the optimized non-agricultural water footprints. Our water-footprint-based optimal water resources allocation scheme helps alleviate the water resources shortage pressure and achieve coordinated and balanced development in the YREB.


2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Saeed Shanbehzadeh ◽  
Marzieh Vahid Dastjerdi ◽  
Akbar Hassanzadeh ◽  
Toba Kiyanizadeh

This study was carried out to examine heavy metals concentration in water and sediment of upstream and downstream of the entry of the sewage to the Tembi River, Iran. Samples were collected from upstream and downstream and were analyzed for Cd, Cr, Cu, Fe, Pb, Ni, and Zn by atomic absorption spectrophotometer. The results indicated that the average concentration of the metals in water and sediment on downstream was more than that of upstream. The comparison of the mean concentrations of heavy metals in water of the Tembi River with drinking water standards and those in the water used for agriculture suggests that the mean concentration of Cu and Zn lies within the standard range for drinking water and the mean concentration of Mn, Zn, and Pb lies within the standard range of agricultural water. The highest average concentration on downstream for Pb in water and for Mn in sediment was 1.95 and 820.5 ppm, respectively. Also, the lowest average concentration on upstream was identified for Cd in water and sediment 0.07 and 10 ppm, respectively. With regard to the results, it gets clear that using the water for recreational purposes, washing, and fishing is detrimental to human health and the environment.


2021 ◽  
Vol 11 (21) ◽  
pp. 10379
Author(s):  
Mohammed El Hafyani ◽  
Ali Essahlaoui ◽  
Kimberley Fung-Loy ◽  
Jason A. Hubbart ◽  
Anton Van Rompaey

This work was undertaken to develop a low-cost but reliable assessment method for agricultural water requirements in semi-arid locations based on remote sensing data/techniques. In semi-arid locations, water resources are often limited, and long-term water consumption may exceed the natural replenishment rates of groundwater reservoirs. Sustainable land management in these locations must include tools that facilitate assessment of the impact of potential future land use changes. Agricultural practices in the Boufakrane River watershed (Morocco) were used as a case study application. Land use practices were mapped at the thematic resolution of individual crops, using a total of 13 images generated from the Sentinel-2 satellites. Using a supervised classification scheme, crop types were identified as cereals, other crops followed by cereals, vegetables, olive trees, and fruit trees. Two classifiers were used, namely Support vector machine (SVM) and Random forest (RF). A validation of the classified parcels showed a high overall accuracy of 89.76% for SVM and 84.03% for RF. Results showed that cereal is the most represented species, covering 8870.43 ha and representing 52.42% of the total area, followed by olive trees with 4323.18 ha and a coverage rate of 25%. Vegetables and other crops followed by cereals cover 1530.06 ha and 1661.45 ha, respectively, representing 9.4% and 9.8% of the total area. In the last rank, fruit trees occupy only 3.67% of the total area, with 621.06 ha. The Food and Agriculture Organization (FAO) free software was used to overlay satellite data images with those of climate for agricultural water resources management in the region. This process facilitated estimations of irrigation water requirements for all crop types, taking into account total potential evapotranspiration, effective rainfall, and irrigation water requirements. Results showed that olive trees, fruit trees, and other crops followed by cereals are the most water demanding, with irrigation requirements exceeding 500 mm. The irrigation requirements of cereals and vegetables are lower than those of other classes, with amounts of 300 mm and 150 mm, respectively.


2019 ◽  
Vol 10 (10) ◽  
pp. 110-114
Author(s):  
Hussein Abdi Ali ◽  
Salah Abdirahaman Farah

The Agriculture sector in Kenya is as important as the country. Much of the agricultural function was transferred to the devolved units when the new constitution was passed by Kenyans and promulgated. The question many are asking is, have county governments initiated strategies in place to improve food security and ultimately contribute to the economy. Agriculture is the major contributor of our economy today. Kenya needs to be a self-sufficient country and feed its people. County governments have a huge role in ensuring this objective achieved. Based on this, a research title is proposed “Understanding the influence and effects of devolution on agricultural development: A case study of Garissa county, Kenya” The research seeks to clarify to the public and the other stakeholders concerned if actually devolved units have done anything to improve the agricultural sector since its inception. Have county governments put clear, achievable and practical strategies for this sector to grow and how best can counties improve this important sector. The research findings will be very helpful to those who are involve in the agricultural sector, directly or indirectly. The research objectives are; to compare performance of agriculture before and after devolution, to evaluate the achievements of devolution in the agricultural sector, to analyse the challenges faced by county governments in developing this sector, to examine the perception of the public on the best strategies to improve agriculture in Kenya and to give synthesised recommendations to all stakeholders. The research was conducted within Garissa County, four out of the six sub counties. A total of 310 respondents were engaged ranging from farmers, the general public and the staff of the county government The research found out that there is a gap in the sector that needs attention. Agricultural production, although remained steadfast over the years, has been in deplorable situation. The research findings is helpful to all stakeholders-both levels of governments, farmers, the public and non-state actors.  The research commends that the County governments should use bottom-up approach strategy when making critical decision affecting the department. This will aid them obtain raw and unbiased information for action. The department of agriculture experts should be deployed to all sub counties (at the grassroots). 95 percent of these staff stay at county headquarters doing nothing. Their presence at the villages, farms will come in handy or the farmers. People with experience and experts should be employed to spearhead this exercise. Routine visits should be made to the farming areas.


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