scholarly journals Suitable Site Selection for Rainwater Harvesting and Storage Case Study Using Dohuk Governorate

Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 864 ◽  
Author(s):  
Gaylan Rasul Faqe Ibrahim ◽  
Azad Rasul ◽  
Arieann Ali Hamid ◽  
Zana Fattah Ali ◽  
Amanj Ahmad Dewana
Keyword(s):  
Rainwater Harvesting ◽  
Image Data ◽  
Research Area ◽  
Severe Drought ◽  
Water Harvesting ◽  
Water Crisis ◽  
Model Builder ◽  
Dry Zone ◽  
Elevation Model ◽  
Model Inverse

The Middle East is an inherently dry zone. It has experienced severe drought for the last seven years, and climate change has made the situation worse. The Dohuk governorate has been suffering from an appalling water crisis. One possible way of relieving this water crisis is by properly harvesting the rainwater. Rainwater harvesting is a widely used method of storing rainwater in the countries presenting with drought characteristics. Several pieces of research have derived and developed different criteria and techniques to select suitable sites for harvesting rainwater. The main aim of this research was to identify and select suitable sites for the potential erection of dams, as well as to derive a model builder in ArcMap 10.4.1. The model combined several parameters, such as slope, runoff potential, land cover/use, stream order, soil quality, and hydrology to determine the suitability of the site for harvesting rainwater. To compute the land use/cover categories, the study depended on Landsat image data from 2018. Supervised classification was applied using the ENVI 5 software, while the slope mapping and drainage order were extracted using a digital elevation model. Inverse distance weighting (IDW) was used for the spatial interpolation of the rain data. The results demonstrated that suitable areas for water harvesting, are located in the middle and northern part of the research area, and in intensively cultivated zones. The main soil texture in these suitable sites was loam, while the rainfall rate amounted to 750 to 900 mm. This research shows that 15% and 13% of the area studied can be categorized as having excellent and good suitability for water harvesting, respectively. Furthermore, 21% and 27% of the area studied were of moderate and poor suitability, while the remaining 24% were not suitable at all.

scholarly journals Remote measurement methods for 3-D modeling purposes using BAE Systems’ Software

2015 ◽  
Vol 64 (1) ◽  
pp. 113-124 ◽  
Author(s):  
Stewart Walker ◽  
Arleta Pietrzak
Keyword(s):  
Feature Extraction ◽  
Data Collection ◽  
Image Data ◽  
Data Sources ◽  
Remote Measurement ◽  
Software Packages ◽  
Systems Software ◽  
Digital Elevation ◽  
Sensor Models ◽  
Elevation Model

Abstract Efficient, accurate data collection from imagery is the key to an economical generation of useful geospatial products. Incremental developments of traditional geospatial data collection and the arrival of new image data sources cause new software packages to be created and existing ones to be adjusted to enable such data to be processed. In the past, BAE Systems’ digital photogrammetric workstation, SOCET SET®, met fin de siècle expectations in data processing and feature extraction. Its successor, SOCET GXP®, addresses today’s photogrammetric requirements and new data sources. SOCET GXP is an advanced workstation for mapping and photogrammetric tasks, with automated functionality for triangulation, Digital Elevation Model (DEM) extraction, orthorectification and mosaicking, feature extraction and creation of 3-D models with texturing. BAE Systems continues to add sensor models to accommodate new image sources, in response to customer demand. New capabilities added in the latest version of SOCET GXP facilitate modeling, visualization and analysis of 3-D features.

Crop Productivity Enhancement under Soybean Based Cropping System through Harvested Rain Water in Malwa Region

2021 ◽  
Author(s):  
D.H. Ranade ◽  
M.L. Jadav ◽  
Indu Swarup ◽  
O.P. Girothia ◽  
D.V. Bhagat ◽  
...  
Keyword(s):  
Water Availability ◽  
Irrigation Water ◽  
Sweet Corn ◽  
Rainwater Harvesting ◽  
Cropping System ◽  
Crop Productivity ◽  
Farm Income ◽  
Cropping Pattern ◽  
Water Harvesting ◽  
Net Return

Background: Rainwater harvesting is commonly practiced in areas, where the rainfall is insufficient for crop growing. Due to the intermittent nature of run-off events, it is necessary to store the maximum possible amount of rainwater during the rainy season so that it may be used as irrigation to enhance the crop productivity and farm income under soybean based cropping system.Methods: A study was carried out during 2018-2019 in Indore district of Malwa region. Rainwater harvesting tanks at on station (42´21´2.4m) and on farm (15´11´4m) were constructed for irrigation water availability. Provision of water harvesting tank increased the irrigation water availability (1781m3 and 630m3 respectively) and stored water was managed through various irrigation systems viz. rain gun, drip and flood.Result: It was resulted that the provision of water harvesting tanks enhanced the crop productivity and farm income under soybean based cropping system. Availability of irrigation encouraged the farmers to diversify the cropping pattern (soybean-chickpea, soybean -wheat). It is also clear from the study that even with smaller storage tank and through conjunctive use of ground (1164.2m3) and surface water (596m3), multiple crops (Soybean, potato, sweet corn, chickpea, onion, garlic etc.) can be grown. Soybean-Chickpea cropping system at station gave the net return of 70976 Rs/ha with B: C ratio of 3.15. Soybean-Wheat cropping system at farm gave the net return of 119000 Rs/ha with B:C ratio of 3.38. 

scholarly journals ESTIMASI PRODUKSI PADI DENGAN ANALISIS CITRA SATELIT LANDSAT 8 DI KABUPATEN KLUNGKUNG PROVINSI BALI

2018 ◽  
Vol 12 (1) ◽  
pp. 93
Author(s):  
Made Arya Bhaskara Putra ◽  
I Wayan Nuarsa ◽  
I Wayan Sandi Adnyana
Keyword(s):  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Satellite Image ◽  
Image Data ◽  
Research Area ◽  
Rice Production ◽  
Landsat 8 ◽  
Estimation Model ◽  
Accuracy Test ◽  
Accuracy Level

Rice crop is one of the important commodities that must always be available, so estimation of rice production becomes very important to do before harvesting time to know the food availability. The technology that can be used is remote sensing technology using Landsat 8 Satellite. The aims of this study were (1) to obtain the model of estimation of rice production with Landsat 8 image analysis, and (2) to know the accuracy of the model that obtained by Landsat 8. The research area is located in three sub-districts in Klungkung regency. Analysis in this research was conducted by single band analysis and analysis of vegetation index of satellite image of Landsat 8. Estimation model of rice production was developed by finding the relationship between satellite image data and rice production data. The final stage is the accuracy test of the rice production estimation model, with t test and regression analysis. The results showed: (1) estimation of rice production can be calculated between 67 to 77 days after planting; (2) there was a positive correlation between NDVI (Normalized Difference Vegetation Index) vegetation index value with rice yield; (3) the model of rice production estimation is y = 2.0442e1.8787x (x is NDVI value of Landsat 8 and y is rice production); (4) The results of the model accuracy test showed that the obtained model is suitable to predict rice production with accuracy level is 89.29% and standard error of production estimation is + 0.443 ton/ha. Based on research results, it can be concluded that Landsat 8 Satellite image can be used to estimate rice production and the accuracy level is 89.29%. The results are expected to be a reference in estimating rice production in Klungkung Regency.

scholarly journals Dynamics of human-induced lakes and their impact on land surface temperature in Toshka Depression, Western Desert, Egypt

2021 ◽  
Author(s):  
Rasha Abou Samra
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Vegetation Index ◽  
Research Area ◽  
Western Desert ◽  
Severe Drought ◽  
Land Use Land Cover

Abstract Land surface temperature (LST) is a significant environmental variable that is appreciably influenced by land use /land cover changes. The main goal of this research was to quantify the impacts of land use/land cover change (LULC) from the drying of Toshka Lakes on LST by remote sensing and GIS techniques. Landsat series TM and OLI satellite images were used to estimate LST from 2001 to 2019. Automated Water Extraction Index (AWEI) was applied to extract water bodies from the research area. Optimized Soil-Adjusted Vegetation Index (OSAVI) was utilized to predict the reclaimed land in the Toshka region until 2019. The results indicated a decrease in the lakes by about 1517.79 km2 with an average increase in LST by about 25.02 °C between 2001 and 2019. It was observed that the dried areas of the lakes were converted to bare soil and are covered by salt crusts. The results indicated that the land use change was a significant driver for the increased LST. The mean annual LST increased considerably by 0.6 °C/y between 2001 and 2019. A strong negative correlation between LST and Toshka Lakes area (R-square = 0.98) estimated from regression analysis implied that Toshka Lakes drying considerably affected the microclimate of the study area. Severe drought conditions, soil degradation, and many environmental issues were predicted due to the rise of LST in the research area. There is an urgent need to develop favorable strategies for sustainable environmental management in the Toshka region.

scholarly journals Designating Appropriate Areas for Determining Potential Rainwater Harvesting in Arid Region Using a GIS-based Multi-criteria Decision Analysis ‏

2021 ◽  
Author(s):  
Mohamed Abd-el-Kader ◽  
Ahmed Elfeky ◽  
Mohamed Saber ◽  
Maged AlHarbi ◽  
abed Alataway
Keyword(s):  
Water Management ◽  
Saudi Arabia ◽  
Decision Analysis ◽  
Rainwater Harvesting ◽  
Flash Flood ◽  
Flood Hazard ◽  
Flash Floods ◽  
Flood Mitigation ◽  
Water Harvesting ◽  
Multi Criteria Decision Analysis

Abstract Flash floods are highly devastating, however there is no effective management for their water in Saudi Arabia, therefore, it is crucial to adopt Rainfall Water Harvesting (RWH) techniques to mitigate the flash floods and manage the available water resources from the infrequent and rare rainfall storms. The goal of this study is to create a potential flood hazard map and a map of suitable locations for RWH in Wadi Nisah, Saudi Arabia for future water management and flood prevention plans and to identify potential areas for rainwater harvesting and dam construction for both a flood mitigation and water harvesting. This research was carried out using a spatiotemporal distributed model based on multi-criteria decision analysis by combining Geographic Information System (GIS), Remote Sensing (RS), and Multi-Criteria Decision-Making tools (MCDM). The flood hazard mapping criteria were elevation, drainage density, slope, direct runoff depth at 50 years return period, Topographic witness index, and Curve Number, according to the Multi-criteria decision analysis, while the criteria for RWH were Slope, Land cover, Stream order, Lineaments density, and Average of annual max-24hr Rainfall. The weight of each criteria was estimated based on Analytical Hierarchy Process (AHP). In multi-criteria decision analysis, 21.55 % of the total area for Wadi Nisah was classified as extremely dangerous and dangerous; 65.29 % of the total area was classified as moderate; and 13.15 % of the total area was classified as safe and very safe in flash flood hazard classes. Only 15% of Wadi Nisah has a very high potentiality for RWH and 27.7%, 57.31% of the basin has a moderate and a low or extremely low potentiality of RWH, respectively. According to the developed RWH potentiality map, two possible dam sites were proposed. The maximum height of the proposed dams, which corresponded to the cross section of dam locations, ranged from 6.2 to 9 meters; the maximum width of dams ranged from 573.48 to 725 meters; the maximum storage capacity of reservoirs, which corresponded to the distribution of topographic conditions in the surrounding area, ranged from 3976104.499 m3 to 4328509.123 m3; and the maximum surface area of reservoirs ranged from 1268372.625 m2 to 1505825.676.14 m2. These results are highly important for the decision makers for not only flash flood mitigation but also water management in the study area.

scholarly journals The Effect of In-Field Rain Water Harvesting on Orange-Fleshed Sweet Potato Biomass and Yield

2017 ◽  
Vol 9 (10) ◽  
pp. 1
Author(s):  
S. M. Laurie ◽  
N. Nhlabatsi ◽  
H. M. Ngobeni ◽  
S. S. Tjale
Keyword(s):  
Sweet Potato ◽  
Rainwater Harvesting ◽  
Rain Water ◽  
Drought Risk ◽  
Total Biomass ◽  
Water Harvesting ◽  
Total Production ◽  
Root Yield ◽  
Rain Water Harvesting ◽  
Orange Fleshed Sweet Potato

Water scarcity affects both food security and human nutrition. In-field rain water harvesting (IRWH) combines the advantages of rainwater harvesting, no-till, basin tillage and mulching on high drought risk clay soils. In this study, the IRWH system was customized to fit the cropping system of orange-fleshed sweet potato (OFSP). Field trials were conducted over two seasons to compare cultivation of OFSP using IRWH versus conventional tillage (CON). Data collection included plant survival, root initiation, marketable root yield, unmarketable root yield classes and biomass. Planting OFSP using the IRWH system resulted in significantly higher total biomass, higher marketable and total root yield per plant, as well as larger number of roots per plant compared to CON. Despite the relatively higher yield, total production (t/ha) was only significantly higher in season two at 4.6 t/ha vs 2.7 t/ha for CON. Subsistence farmers and households in semi-arid areas may grow small plots of orange-fleshed sweet potato in IRWH opposed to only growing maize and in that way add vitamin A to the diet. This is the first study on the application of IRWH to produce OFSP under rainfed conditions, and more research can be conducted to expand the knowledge on application and benefits of IRWH for OFSP production.

scholarly journals Remote-sensing science and technology for studying glacier processes in high Asia

2000 ◽  
Vol 31 ◽  
pp. 164-170 ◽  
Author(s):  
Michael P. Bishop ◽  
Jeffrey S. Kargel ◽  
Hugh H. Kieffer ◽  
David J. MacKinnon ◽  
Bruce H. Raup ◽  
...  
Keyword(s):  
Image Data ◽  
Stereo Image ◽  
Accurate Information ◽  
Glacier Mass Balance ◽  
Digital Elevation ◽  
High Asia ◽  
Global Land ◽  
Space Project ◽  
Sediment Transfer ◽  
Elevation Model

AbstractA large number of multispectral and stereo-image data are expected to become available as part of the Global Land Ice Measurements from Space project. We investigate digital elevation model extraction, anisotropic reflectance correction and selected glacier analysis tasks that must be developed to achieve full utility of these new data. Results indicate that glaciers in the Karakoram and Nanga Parbat Himalaya, northern Pakistan, exhibit unique spectral, spatial and geomorphometric patterns that can be exploited by various models and algorithms to produce accurate information regarding glacier extent, supraglacial features and glacier geomorphology The integration of spectral, spatial and geomorphometric features, coupled with approaches for advanced pattern recognition, can help geoscientists study glacier mass balance, glacier erosion, sediment-transfer efficiency and landscape evolution.

The Application of Rain Water Harvesting Method on a Low Income Flat in Cengkareng, Jakarta

2015 ◽  
Vol 747 ◽  
pp. 317-320 ◽  
Author(s):  
Yosica Mariana ◽  
Junius Ngadinata ◽  
Renhata Katili ◽  
Religiana Hendarti
Keyword(s):  
Water Supply ◽  
Low Income ◽  
Rainwater Harvesting ◽  
Rapid Development ◽  
Rain Water ◽  
Capital City ◽  
Water Harvesting ◽  
Rain Water Harvesting ◽  
Harvesting Method ◽  
Alternative Water

This paper presents a study of the application of the theory of rainwater harvesting for a low income flat in West Jakarta. The background of this study is that Jakarta as a capital city of Indonesia is actually experiencing water crisis because of the rapid population growth and the building construction. This rapid development in consequence affects a reduction on the ground water supply. Therefore, this study analyse the amount of rain water that can be an alternative water supply particularly for a low income flat. This study focused on the water supply for the flushing toilet. To accommodate that objective, a brief calculation of water catchment area and the amount of water that can be harvested has been conducted. The results showed that in general the water supplied by the rain water harvesting can provided 100% annually, but since the precipitation in August is relatively low, in consequence, the water suply should be provided by the local government water company (PDAM).

scholarly journals Toward improving household livelihoods using rain water harvesting technologies in Matungulu sub-county, Machakos, Kenya

2021 ◽  
Vol 2 (4) ◽  
Author(s):  
Peter Wekesa ◽  
John Muthama ◽  
Jane Mutune
Keyword(s):  
Significant Influence ◽  
Crop Production ◽  
Rainwater Harvesting ◽  
Rain Water ◽  
Sub Saharan Africa ◽  
County Government ◽  
Water Harvesting ◽  
Rain Water Harvesting ◽  
Household Livelihoods ◽  
The Impact

Better utilization of rainfall through rainwater harvesting can greatly increase agricultural productivity, improve food security and alleviate poverty. Water is the main limiting resource for crop production in arid sub-Saharan Africa. The biggest challenge currently is growing water shortage and dwindling rivers. This has impacted the livelihoods of rural population in arid and semi-arid counties. The introduction of novel rain-water harvesting (RWH) is, however, seeking to mitigate the effects of perennial droughts in arid areas. Successful adoption of such technologies has the potential to alleviate water problems faced by rural households. In Kenya, very little research has been conducted about adoption of water harvesting technologies and their role in curbing water shortages. Therefore, there was a need to interrogate the extent to which adoption of water harvesting technologies has impacted households in Matungulu Sub-County. Focus group discussions, interview with key informants, and structured questionnaires were used to collect data for the study which were then analyzed using SPSS version 22 software. The findings indicated that overall, a composite mean of 4.04 and a standard deviation of 0.699 of the respondents agreed that incentives from the county government significantly promoted water harvesting technologies. This was confirmed by a positively strong and significant correlation between the integration of RHT in the county development agenda and the impact on household livelihoods. A further regression analysis indicated that Integration of RHT had a positive and significant influence on household livelihoods (β= 0.755, t=22.351, p=0.000<0.05). Results of this survey indicate that rainwater technologies are financed mostly by household heads and county government initiatives have not been adequately felt. There is a strong indication from the study that water harvesting technologies had a statistically significant influence on the impact on household livelihoods. To ensure sustainability of rainwater harvesting technologies, the study recommends that Machakos

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