Cultivating Sustainable Green Belts with ADW and RWH in Iraq's Arid Zones
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Climate changes and water scarcity are forcing arid and semi-arid countries to search for non-conventional alternatives of renewable water resources such as Agriculture Drainage Water (ADW) and Rainwater Harvesting (RWH).Bio-saline Agriculture (that defined as the production and growth of plants irrigated by saline waterin water scarce location) is introduced to achieve food security.The phenomenon of dust storms is commonly seen in arid zones that is affected by climate changes.Protection of these areas requires the establishment of windbreaks and sustainable green belts to reduce wind speed and soil erosion.This research aims to study the area that can be planted by orchards of palm and olives using ADW and RWH around Main Outflow Drain (MOD) in Iraq.Two alternatives are proposed according to the possibility of using the rainwater-harvesting technique in order to expand the irrigated areas; to reduce the quantities of saline water in irrigation and reclamations the soil from the excess quantities of salinity.It was found using only 30% of MOD saline water achieves the cultivation of a net green belt width of palm and olive of 9.74 km on both sides of MOD of 526 km length from north of Baghdad to the Basra city.The accumulated salinity at steady state condition of using ADW was estimated according to WATSUIT model is within the range of orchards and high tolerant winter crops like barley.This research demonstrates a viable strategy for mitigating soil erosion and dust storms in arid regions, offering a model for sustainable agricultural practices in the face of climate change.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it