“Application of Hydrological Simulation models to solve pollution impacts in the water management decision-making processes. Measures for the recovery of Mar Menor sea lake and “Campo de Cartagena” aquifer (Spain)”

Author(s):  
Gabriel Gómez Martínez ◽  
Miguel Ángel Pérez-Martín ◽  
Clara Eugenia Estrela Segrelles

<p>The use of fertilizers and pesticides in agriculture activity is a worldwide extended practice since decades for improving crops performance, which can cause, however, with excessive dosage rates, aquifers’ pollution and water quality problems, like the study case hereby presented of Mar Menor sea-lake waterbody and “Campo de Cartagena” aquifer, in the southern coast of Spain.</p><p>Due the agricultural practices, the Campo de Cartagena aquifer presents in this moment high values of nitrate, around 150 mgNO<sub>3</sub> / l, appearing also these high values of nitrogen in soil in this area. This situation produces a great contribution of nitrogen to the Mar Menor lake, by two mainly processes, firstly, continuously through groundwater returns to the waterbody’s surface and secondly, through the precipitation events when a large amount of nitrogen is washed from soil by the rainfall. Finally, the large amount of nitrogen incomes to the Mar Menor sea lake contributes to deteriorate the status of this waterbody and also promotes the eutrophication processes that have been taking place during last years.</p><p>A large watershed scale nitrates’ transport simulation model, Patrical Model (Perez-Martín et al., 2016), is used to estimate the measures to recovery the “Campo de Cartagena” aquifer. The model establishes, mathematically, the relationship between nitrogen application, nitrogen surplus (excess), and nitrate concentration in groundwater and surface waterbodies.</p><p>Model results show that it is necessary to reduce around 80% of the current nitrogen surplus in the “Campo de Cartagena” aquifer to recovery the good status in the aquifer. This reduction of nitrogen surplus can be obtained by reducing the fertilizers dosage and consequently the nitrates contribution, with a maximum dose of nitrogen applied by farmers of 170 kgN /ha. Applying this measure could reduce significantly the nitrogen retained in soil in 1-2 years, so the nitrogen contribution during rainfall events also could be reduced significantly. Nitrogen levels in groundwater will gradually decrease in the following years, reaching values around 50 mgNO<sub>3</sub> / l in 7-9 years after the application of these measures.</p>

2007 ◽  
Vol 11 (6) ◽  
pp. 1811-1823 ◽  
Author(s):  
P. Cau ◽  
C. Paniconi

Abstract. Quantifying the impact of land use on water supply and quality is a primary focus of environmental management. In this work we apply a semidistributed hydrological model (SWAT) to predict the impact of different land management practices on water and agricultural chemical yield over a long period of time for a study site situated in the Arborea region of central Sardinia, Italy. The physical processes associated with water movement, crop growth, and nutrient cycling are directly modeled by SWAT. The model simulations are used to identify indicators that reflect critical processes related to the integrity and sustainability of the ecosystem. Specifically we focus on stream quality and quantity indicators associated with anthropogenic and natural sources of pollution. A multicriteria decision support system is then used to develop the analysis matrix where water quality and quantity indicators for the rivers, lagoons, and soil are combined with socio-economic variables. The DSS is used to assess four options involving alternative watersheds designated for intensive agriculture and dairy farming and the use or not of treated wastewater for irrigation. Our analysis suggests that of the four options, the most widely acceptable consists in the transfer of intensive agricultural practices to the larger watershed, which is less vulnerable, in tandem with wastewater reuse, which rates highly due to water scarcity in this region of the Mediterranean. More generally, the work demonstrates how both qualitative and quantitative methods and information can assist decision making in complex settings.


2016 ◽  
Vol 5 (4) ◽  
pp. 58
Author(s):  
Monika Ghimire ◽  
Art Stoecker ◽  
Tracy A. Boyer ◽  
Hiren Bhavsar ◽  
Jeffrey Vitale

<p class="sar-body"><span lang="EN-US">This study incorporates spatially explicit geographic information system and simulation models to develop an optimal irrigation system. The purpose of the optimized irrigation system was to save depleted ground water supplies. ArcGIS was used to calculate the area of potential irrigable soils, and EPANET (a hydrological simulation program) was used to calculate energy costs. Crop yield response functions were used to estimate the yield of cotton to the amount of irrigation and the accumulation of soil salinity over a 50-year period. Four irrigation designs (A, B, C, and D) were analyzed with different irrigation schedules.</span></p><p class="sar-body"><span lang="EN-US">Design A allowed all producers to irrigate simultaneously at 600 gallons per minute (gpm) or 2,271 liters per minute (lpm) while designs B and C divided the irrigable areas into two parts. Design D divided the areas into four parts to allow producers to irrigate one part at a time at 800 gpm (3,028 lpm). Irrigation scheduling not only lessened the water use and cost, but also amplified the profitability of the irrigation system. In design A, if all producers adopted 600 gpm (2,271 lpm) pivots and operated simultaneously, the cost of the 360,000 gpm (1363,000 lpm) pipeline would be prohibitive. In contrast, designs B, C, and D increased net benefits and lowered the breakeven price of cotton. The 50-year net present value for designs A, B, C, and D was profitable over 75, 70, 70, and 65 cents of cotton price per pound (454 g), respectively. Thus, this study endorses irrigation scheduling as a tool for efficient irrigation development and management, and increases water conservation.</span></p>


Author(s):  
П.А. Котяк

Представлены результаты исследования уровня общей токсичности и микробного токсикоза дерново-подзолистой глееватой почвы при антропогенной нагрузке. Изучение токсичности почвы особенно актуально в агроценозах, где человек в значительной мере регулирует условия произрастания растений. Использование показателей токсичности при оценке агротехнических приёмов позволяет усовершенствовать существующие технологии, чтобы избежать нежелательных сопутствующих эффектов при агрогенном воздействии на агроэкосистемы. Сравнительный анализ полученных результатов показал, что почва опытного участка в начале вегетации имела класс средней и низкой токсичности (индекс токсичности фактора (ИТФ) от 0,63 до 0,82), а в конце вегетации – класс высокой и средней токсичности (ИТФ от 0,35 до 0,55). Оценка микробиологической токсичности почвы исследуемых вариантов опыта по всхожести семян тест-культуры показала в основном средний уровень микробного токсикоза: 69,75% – на индуцированных образцах, 60,97% – на контрольных образцах. Урожайность зелёной массы ярового рапса находилась на невысоком уровне, что могло быть связано с неблагоприятными погодными условиями вегетационного периода и варьировала в пределах от 76 до 218 ц/га. Проведённые исследования по установлению влияния антропогенной нагрузки на токсический статус дерново-подзолистой почвы в условиях Ярославской области показали, что лучшими характеристиками обладают варианты: система отвальной обработки почвы, фон «Органо-минеральный субстрат + NPK» как с внесением гербицида, так и без его применения при возделывании ярового рапса. В этих условиях снижается общая токсичность почвы, статус микробного токсикоза не меняется, что позволяет сохранять почвенное плодородие, иметь оптимальное фитосанитарное состояние и получать качественный урожай выращиваемых культур. The results of the research of general toxicity level and microbial toxicosis of soddy podzolic gleyic soil at man-caused load are presented. The study of soil toxicity is especially important in agrocenoses, where a person largely regulates the conditions of plant growth. The use of toxicity indicators in assessing agricultural practices allows improving existing technologies in order to avoid undesirable concomitant effects during agrogenic effects on agroecosystems. A comparative analysis of the obtained results showed that the soil of the test area at the beginning of the growing season had a medium and low toxicity class (factor toxicity index (FTI) from 0.63 to 0.82) and at the end of the growing season it had a high and medium toxicity class (FTI from 0.35 to 0.55). Assessment of the microbiological toxicity of the soil of test variants under investigation by seed germination of the test-crop showed mainly the average level of microbial toxicosis: 69.75% on the induced samples, 60.97% on the control samples. The yield of green mass of spring rape was at a low level, which could be associated with unfavorable weather conditions of the growing season and varied from 76 to 218 hkg / ha. Researches conducted to establish influence of man's activities on the toxic status of soddy podzolic soil in the conditions of the Yaroslavl region showed that the best characteristics are options: a system of moldboard tillage, background "Organic-mineral substrate + NPK" both with the herbicide application and without its use in the cultivation of spring rape. Under these conditions the general toxicity of the soil decreases, the status of microbial toxicosis does not change which allows maintaining soil fertility, having an optimal phytosanitary condition and obtaining a quality yield of crops grown.


Author(s):  
Mikel Goñi Garatea ◽  
Faustino N. Gimena Ramos ◽  
José Javier López Rodríguez

Proceedings ◽  
2019 ◽  
Vol 42 (1) ◽  
pp. 46
Author(s):  
Arjun Subedi ◽  
Achyut Luitel ◽  
Manisha Baskota ◽  
Tri Dev Acharya

In Nepal, most of the farmers depend upon traditional agricultural practices. Adapting modern agricultural technology plays an important role in improving overall efficiency as well as the productivity of their yields. In modern agriculture, the Internet of Things (IoT) connects farmers to their farm via sensors so that they can easily monitor the real-time conditions of their farm from anywhere. The White Button Mushroom is a widely cultivated crop among Nepalese farmers. Although being the most consumed and cultivated crop, it is still overshadowed by the traditional cultivation approach, which is resulting in low productivity, high manpower efficiency, and more effort and cost. This work aims to develop a monitoring system to monitor the environmental conditions of a mushroom farm. It enables a user to monitor crucial factors such as temperature, humidity, moisture, and light intensity on a mushroom farm through the end devices. White Button Mushroom requires an optimum temperature ranging from 22 to 25 °C and humidity from 70% to 90%. Sensors are placed at fixed locations and spots of the farm. Then, the sensors measure the status of parameters, which are transmitted to the remote monitoring station via a low power Node MCU (micro-controller unit). Thus, obtained data are stored in a cloud platform. The codes for the controller are written in the Arduino programming language, debugged, compiled, and burnt into the microcontroller using the Arduino integrated development environment. The result shows successful monitoring of environmental conditions accessing the Internet from anywhere. It minimizes human efforts and automates production, which could be beneficial to Nepalese farmers.


1991 ◽  
Vol 1 (2) ◽  
pp. 135-151 ◽  
Author(s):  
Nigel Varty

SummaryDespite serious and widespread hurricane damage to the natural forests of Jamaica (43% of trees either toppled or with crowns broken in the John Crow Mountains, for instance), the populations of the endemic Ring-tailed Pigeon Columba caribaea, Crested Quail-dove Geotrygon versicolor, Black-billed Parrot Amazona agilis, Yellow-billed Parrot A. collaria, Blue Mountain Vireo Vireo osburni and Jamaican Blackbird Nesopsar nigerrimus appear to have survived Hurricane Gilbert well. However, the expected reduction in food supplies, notably for the frugivores, caused by the severe damage to many trees, coupled with continuing and in some cases increasing human destruction and disturbance of the forests, puts the longer-term survival of these species in some doubt. The establishment of functioning protected areas encompassing the key forest regions for these birds; upgrading and more rigorous enforcement of the legislation governing conservation and management of wildlife and the natural forests; and the control and improvement of agricultural practices around forest areas, would greatly help to ensure the preservation of the forest avifauna and are recommended.


2020 ◽  
Author(s):  
Maria Mavrova-Guirguinova

&lt;p&gt;The impact of future climate change under IPCC scenarios RCP4.5 and RCP8.5 on hydrological regimes in plain catchments up to 650 m high and in mountainous areas of Bulgaria is discussed. A hydrological simulation models (TUWmodel) were calibrated on recorded data and &amp;#8216;forced&amp;#8217; in the selected scenarios with precipitation and air temperature data from ALADIN 5.2, a local version of the French global atmospheric model ARPEGE, downscaled to a grid of 12 km. Simulations for the future periods 2013-2042, 2021-2050 and 2071-2100 are compared to the flows in the reference period 1976-2005.&lt;/p&gt;&lt;p&gt;Results indicate increased seasonality of flows, with noticeably drier summers and increase of river discharge in winter. In most of the cases the analysis of extreme events suggests significant increases in the frequency of both high&amp;#8208; and low&amp;#8208;flow events. The change in the extreme runoff with a large repetition period required for the design of flood protection structures and systems has been investigated in regions with different mechanisms for flood generation. With the push of RCP4.5 or RCP8.5 scenarios the significant increase in flood peaks is observed in most of the river basins. There is a general trend of decreasing runoff with a 95% probability of exceedance.&lt;/p&gt;


2015 ◽  
Vol 39 (1) ◽  
pp. 93-120 ◽  
Author(s):  
Nigel W. Arnell ◽  
Sarah J. Halliday ◽  
Richard W. Battarbee ◽  
Richard A. Skeffington ◽  
Andrew J. Wade

This paper reviews the implications of climate change for the water environment and its management in England. There is a large literature, but most studies have looked at flow volumes or nutrients and none have considered explicitly the implications of climate change for the delivery of water management objectives. Studies have been undertaken in a small number of locations. Studies have used observations from the past to infer future changes, and have used numerical simulation models with climate change scenarios. The literature indicates that climate change poses risks to the delivery of water management objectives, but that these risks depend on local catchment and water body conditions. Climate change affects the status of water bodies, and it affects the effectiveness of measures to manage the water environment and meet policy objectives. The future impact of climate change on the water environment and its management is uncertain. Impacts are dependent on changes in the duration of dry spells and frequency of ‘flushing’ events, which are highly uncertain and not included in current climate scenarios. There is a good qualitative understanding of ways in which systems may change, but interactions between components of the water environment are poorly understood. Predictive models are only available for some components, and model parametric and structural uncertainty has not been evaluated. The impacts of climate change depend on other pressures on the water environment in a catchment, and also on the management interventions that are undertaken to achieve water management objectives. The paper has also developed a series of consistent conceptual models describing the implications of climate change for pressures on the water environment, based around the source-pathway-receptor concept. They provide a framework for a systematic assessment across catchments and pressures of the implications of climate change for the water environment and its management.


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